Economic Analyst Jobs - Jeddah Saudi

Who We Are Heidrick & Struggles is a premier provider of global leadership advisory and on-demand talent solutions, serving the senior-level talent and consulting needs of the world's top organizations. In our role as trusted leadership advisors, we partner with our clients to develop future-ready leaders and organizations, bringing together our services and offerings in executive search, diversity and inclusion, leadership assessment and development, organization and team acceleration, culture shaping and on-demand, independent talent solutions.<br>Heidrick & Struggles (H&S) pioneered the profession of executive search more than 70 years ago. Today, the firm provides integrated talent and human capital solutions to help our clients change the world, one leadership team at a time.®<br>Additional information on the firm can be found at www.heidrick.com.<br>What We DoHeidrick Consulting serves as the firm’s leadership advisory arm. We are a team that is passionate about enabling a world better led. The Analyst role is our first step on the consulting career path. In this role Analysts learn the consulting cycle working as part of a talented team leveraging empirical data from diagnostic tools and providing insights through rigorous analysis. Your contributions will expose you to leaders across a variety of industries and geographies. This role provides the opportunity to develop within one of the fastest growing leadership and organization consultancies specializing in accelerating the performance of leaders, teams and organizations.<br>The purpose of the Analyst role is to support client engagements and product development by researching, gathering, interpreting and presenting complex data in an impactful and compelling way.<br>The role will support our exciting range of offerings including organizational transformation, team performance acceleration, leadership capability assessment, leadership development, diversity & inclusion and culture shaping. Ideally you will have strong interpersonal skills and have worked in a consulting firm or be able to demonstrate the capability to effectively work with clients.<br>Role Responsibilities <br>Client Impact & Engagement:Conducts research, organizes and analyses client data and presents results in a simplified format Organizes and interprets data themes (using qualitative, basic quantitative analytical techniques), driving real insights to support decision making Gathers and analyses client data, drawing on a range of problem-solving skills to identify themes and insights Prepares client output that conveys results in a compelling way Structures interview guides / data collection / surveys with limited guidance Prepare for engaging with clients in meetings and/or second chairing assessments with clients Takes responsibility and ownership over assigned work, proactively managing to completion Ensures work is “client ready” (e.g. error free, aligned with expectations, ready to be shared with client) and actively manages expectations with team during any draft-revision processes Plans and prioritizes own work, ensuring deadlines and quality standards are met Achieves target utilization of 70%<br>People:Supports team in producing high quality deliverables Works collaboratively with all colleagues across the wider organization (HC and H&S) Develops and maintains professional presence and behaviour Interacts with the client team, is aware of own impact Builds personal reputation as a trusted and respected team player (via work quality and behaviour) Is a role model, operating at the highest ethical standards with clients and team, operating at the highest ethical standards, living the firm’s values<br>Firm Building:As required, supports the design and roll out of new products/tools Contributes to business development and prepares to execute won initiatives Contributes to internal initiatives, supporting the ongoing improvement of the business and employee experience Demonstrated personal growth and development<br>Knowledge:Builds and shares reusable, client ready materials, insights (including case studies) and project learnings Contributes to internal or external knowledge development or sharing Has a deep knowledge of one or more HC solutions Proactively develops own learning/ has a learning mindset and contributes across a broad range of client projects Organize and maintain libraries of knowledge collateral, ensuring easy access for users Coordinate the capture of client data and ensure compliance with data regulations. Project management and delivery<br>What You Bring to the Role0 - 2 years of work experience We welcome candidates with an undergraduate degree, completed apprenticeship, or equivalent practical work experience. Interest in leadership, people, commercial dynamics, organizations and behavior; leads with curiosity – about others, our business, our clients’ businesses High emotional intelligence and people sensitivity; reads situations well, adapts communication style, and builds credible relationships across levels Highly numerate and structured thinking ; possess problem solving and solution-oriented mindset Thinking agility: thinks ahead, analyses and solves problems, is innovative and handles ambiguity well Commercial awareness / business acumen Domain expertise (organisation/team/leadership assessment & development, succession/board advisory, Culture Shaping, D&IHighly proficient in Power Point, Word and advanced Excel Excellent writing skills; can prepare concise and compelling reports Excellent attention to detail Willingness to travel locally and globally as required Arabic - Native speaking and writing proficiency English - Professional speaking and writing proficiency

About the Role<br>The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps infrastructure, container orchestration, and workflow automation at a supercomputing scale. This role is responsible for developing and maintaining secure, OCI-compliant container images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>MLOps and Container Development Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container images. Design and implement robust MLOps workflows and pipelines at supercomputing scale. Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment. Design and deploy APIs for AI/ML services and inference endpoints. Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh configurations and optimization. Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry).<br>Governance and Compliance Support Assist in computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows. Ensure container images and workflows comply with security policies and best practices. Support the implementation of usage monitoring and reporting systems.<br>Performance and Benchmarking Perform performance debugging and tuning of MLOps and cloud-native workflows. Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems. Create and maintain regression testing workloads for existing clusters. Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA DCGM, and Grafana Loki. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.<br>Training and Documentation Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization. Develop and maintain high-quality user documentation for automation tools and workflows. Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of automation infrastructure.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform Engineer) are highly valued.<br>Required Skills<br>Demonstrated experience developing robust and complex MLOps pipelines. Hands-on experience with API design and deployment. Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow deployment. Experience supporting researchers or working in academic/research computing settings preferred.<br>Technical Skills - Essential Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage Interface (CSI), and Service Mesh. MLOps: Experience developing and maintaining MLOps pipelines and workflows. CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment. Containerization: Experience building secure, OCI-compliant container images. API Development: Experience in API design, development, and deployment. Programming: Proficiency in Python; experience with Go, Bash scripting. Linux: Strong Linux/Unix systems administration skills.<br>Technical Skills - Desired Experience with Argo CD, Airflow, DASK, Spark for workflow orchestration. Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines. Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana Loki). Knowledge of Model Context Protocol (MCP) and agentic frameworks. Experience deploying inference services at scale. Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry, Artifact Hub). Experience with Git Ops practices and Infrastructure as Code (Terraform, Ansible). Experience with HPC schedulers (SLURM) and HPC-cloud integration.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Analyst based in Saudi Arabia.<br><br>As a QA Analyst, you will play a central role in ensuring digital products are reliable, intuitive, and ready for real-world users.<br><br>You will combine hands-on manual testing with automation to strengthen quality throughout the software development lifecycle.<br><br>The role offers the opportunity to influence testing practices, automation frameworks, and overall engineering standards.<br><br>You’ll collaborate closely with engineers and cross-functional teams in a fast-moving, distributed environment.<br><br>Your work will directly contribute to delivering scalable products that meet high expectations for performance and user experience.<br><br>You’ll help identify issues early, improve regression coverage, and advocate for quality at every stage of development.<br><br>This is an ideal opportunity for an experienced QA professional who enjoys ownership, technical problem-solving, and continuous improvement.<br><br>Accountabilities<br><br>Define and execute comprehensive test cases covering functional, regression, integration, and user-focused scenarios. Develop and maintain automated regression tests and supporting QA tools using code-first automation frameworks. Contribute to the definition and continuous improvement of QA methodologies, testing processes, and quality standards. Create and maintain test strategies, test plans, and detailed test cases aligned with product requirements. Identify, document, track, and communicate defects using industry-standard bug-tracking practices. Work closely with engineers and cross-functional stakeholders to investigate issues, validate fixes, and support high-quality releases. Advocate for software quality and a strong user experience throughout the product development lifecycle. Help improve automation coverage and testing efficiency while supporting frequent and reliable software releases. Collaborate effectively with distributed teams in a fast-paced product development environment. Contribute to scalable QA practices that support the delivery and ongoing growth of digital products.<br><br>Requirements<br><br>6+ years of professional QA testing experience, combining both manual and automated testing. Strong knowledge of QA methodologies, software testing best practices, and industry-standard defect and bug-tracking tools. Hands-on expertise developing automated tests in Java or Python. Experience with Appium, Selenium, or comparable code-first test automation frameworks. Demonstrated experience creating test strategies, test plans, and comprehensive test cases. Strong ability to identify quality risks and advocate for improvements that enhance the end-user experience. Experience delivering quality software within fast-moving startup or agile environments. Strong problem-solving skills and attention to detail, with the ability to investigate complex issues systematically. Excellent written and verbal communication skills. Ability to collaborate effectively with engineers, product stakeholders, and distributed cross-functional teams. Self-directed and comfortable taking ownership of QA activities in a remote working environment.<br><br>Benefits<br><br>Competitive salary.100% remote work environment. Unlimited PTO, within reasonable guidelines. Local public holidays observed according to your location. Flexible work location. Opportunities for professional growth and career development. Support for professional and personal development. Company-branded swag package. Opportunity to work on innovative digital products for recognized global brands and emerging ventures. Collaborative, distributed engineering environment with exposure to modern technologies and development practices.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Title – Information Technology Business Analyst Company – TCS (MEA) Location – Riyadh, Saudi Arabia Job type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Key Responsibilities Key Responsibilities Engage with business stakeholders to understand business needs, objectives, pain points, and functional requirements. Conduct requirement-gathering workshops and discussions with Business, Product Owners, IT, and other stakeholders. Analyze requirements and translate them into detailed Functional Specification Documents (FSDs) and other functional documentation. Prepare and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs/FSDs), User Stories, Use Cases, Process Flows, Acceptance Criteria, and Requirement Traceability Matrices (RTMs) as applicable. Translate business requirements into clear requirements that can be understood and implemented by development and integration teams. Work closely with technical teams to understand system capabilities, interfaces, APIs, dependencies, and implementation constraints. Perform functional analysis, impact analysis, gap analysis, and process analysis for new requirements and change requests. Support solution/design discussions and ensure that the proposed solution adequately addresses business requirements. Work closely with UI/UX teams on mobile/web banking journeys and ensure that designs are aligned with approved business requirements. Coordinate with Development, QA, Integration, Architecture, Security, and other teams throughout the implementation lifecycle. Clarify functional requirements and resolve queries raised by developers and testing teams during implementation. Review test scenarios and test cases to ensure adequate coverage of business and functional requirements. Support SIT, UAT, defect triage, production deployment, and post-production/hypercare activities as required. Analyze production issues/incidents from a functional perspective and coordinate with relevant teams for resolution. Identify dependencies, assumptions, risks, gaps, and open points and proactively drive them to closure. Maintain proper requirement traceability and ensure that changes to requirements are documented and communicated to all stakeholders. Participate in Agile ceremonies including backlog refinement, sprint planning, daily discussions, demos, and retrospectives. Ensure timely stakeholder communication and provide clear updates on requirements, dependencies, risks, and delivery status. Mandatory Skills & Experience Strong experience in the Banking / Financial Services domain. Hands-on experience with Mobile Banking, Digital Banking, or Internet Banking applications. Strong experience in preparing Functional Specification Documents (FSDs) and detailed functional requirements. Good understanding of banking products, customer journeys, and digital banking processes. Strong understanding of the Software Development Life Cycle (SDLC) and Agile delivery methodologies. Ability to understand and discuss APIs, system integrations, interfaces, data flows, and backend dependencies with technical teams. Experience working with Development, QA, Architecture, Integration, and Product/Business teams. Strong requirements elicitation, documentation, analytical, and problem-solving skills. Excellent stakeholder-management and communication skills. Ability to independently drive requirements and coordinate across multiple teams. Preferred / Added Advantage Prior experience specifically as an IT Business Analyst within a bank or digital banking transformation program. Experience with banking domains such as Accounts, Payments, Cards, Loans/Financing, Remittances, Customer Onboarding, KYC, Digital Channels, or related banking products. Experience working on mobile and web banking customer journeys. Experience working in large-scale Agile banking transformation programs. Experience with tools such as JIRA, Confluence, Figma, or equivalent requirement/design collaboration tools.<br>Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.<br>Application Deadline: 30th -August-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

Position: SRM Front Desk Analyst (Bilingual Arabic & English) Role Overview The SRM Front Desk Analyst will be responsible for managing supplier-related inquiries, ticket management operations, registration and qualification support, performance coordination, reporting, and stakeholder communication. The role serves as the primary point of contact for suppliers and internal stakeholders, ensuring timely resolution of requests while maintaining compliance with Service Level Agreements (SLAs), quality standards, and operational requirements. The incumbent must provide professional bilingual support (Arabic and English) and contribute to continuous process improvements and operational excellence initiatives.<br>Key Responsibilities1. Ticket Management & Case Handling Receive, log, classify, and assign supplier support tickets. Route requests to appropriate teams for resolution. Monitor ticket progress and follow up until closure. Ensure compliance with agreed SLAs and response timelines. Escalate critical and high-priority cases as required. Maintain accurate ticket records and documentation.2. Supplier Registration & Profile Management Process new supplier registration requests. Review and update supplier profile information. Verify supporting documents and submitted information. Coordinate required updates within SRM and related systems. Ensure supplier records remain accurate and up to date.3. Financial Qualification Support Review financial qualification documentation. Validate completeness and accuracy of submitted requirements. Follow up with suppliers regarding missing or incomplete documents. Support status updates and qualification tracking activities. Coordinate with relevant stakeholders for approvals and clarifications.4. Pre-Qualification Administration Manage supplier pre-qualification requests. Review submitted qualification requirements and supporting documents. Coordinate with concerned departments to facilitate evaluations. Update qualification outcomes and records in relevant systems. Track pending actions and ensure timely completion.5. Supplier Performance Support Handle supplier performance-related inquiries and requests. Support supplier performance evaluation follow-ups. Coordinate with performance management teams to resolve issues. Track corrective actions, improvement plans, and follow-up activities. Maintain performance-related records and status updates.6. SRM Email Management Monitor and manage shared SRM support mailboxes. Classify, prioritize, and route incoming emails. Respond to supplier inquiries within SLA targets. Escalate urgent issues to the appropriate stakeholders. Maintain professional and effective communication with suppliers.7. Operational Review Support Weekly Operational Reviews Monitor operational performance and service delivery. Review open, pending, and closed tickets. Identify recurring issues and resolution bottlenecks. Track corrective and preventive action items. Monthly Service Reviews Support SLA and KPI performance reviews. Prepare operational reports and dashboard presentations. Highlight key risks, concerns, and improvement opportunities. Participate in service review meetings with stakeholders.<br>Quarterly Performance & Risk Assessments Support operational effectiveness assessments. Review operational risks and mitigation plans. Analyze performance trends and service quality metrics. Recommend process optimization opportunities.8. Reporting & Compliance Prepare and submit daily, weekly, monthly, and quarterly operational reports. Maintain accurate records for management reporting and audits. Support internal and external audit requirements. Ensure compliance with organizational policies and SEC requirements. Monitor data quality, accuracy, and completeness.9. Value-Added & Continuous Improvement Activities Identify opportunities for process improvement and operational efficiency. Support AI-enabled initiatives for email and ticket optimization. Recommend automation opportunities to enhance service delivery. Participate in continuous improvement and operational excellence programs<br>Required Skills & Competencies Strong ticket management and case handling experience. Experience in Supplier Relationship Management (SRM), Vendor Management, or Shared Services Operations. Understanding of supplier registration, qualification, and performance processes. Strong customer service and stakeholder management skills. Excellent problem-solving and analytical abilities. Strong attention to detail and documentation skills. Experience with SLA-driven support environments. Ability to manage multiple priorities and deadlines. Technical Skills SAP ECCSRM Systems Remedy Ticketing Tool Microsoft Office Suite (Excel, Power Point, Word, Outlook) Reporting and Dashboard Preparation Email and Workflow Management Tools Qualifications Bachelor's Degree in Business Administration, Supply Chain Management, Information Systems, Finance, or related field.2-5 years of experience in Service Desk, Supplier Management, Procurement Operations, Customer Support, or Shared Services. Experience working with ticket management systems and supplier support operations. Knowledge of procurement and supplier lifecycle processes is preferred. Language Requirements Fluent Arabic (Written & Spoken) Fluent English (Written & Spoken) Ability to provide professional bilingual support to suppliers and stakeholders.

We are currently looking for a Senior Product Analyst to join our team.<br>The role will be reporting to a Product Manager.<br>Location: Jeddah, Saudi Arabia<br>Responsibilities Capture, clarify and translate customer needs into actionable product requirements that reduce ambiguity and improve delivery readiness. Own and maintain the Scrum team backlog, ensuring priorities, user stories and acceptance criteria are clear, current and ready for sprint planning. Define functional and integration requirements that support customer outcomes, operational efficiency and product roadmap objectives. Analyze requirements and recommend scalable solutions that balance business value, technical feasibility and long-term maintainability. Own assigned business domain modules, aligning stakeholders on documented solutions that support consistent implementation and reuse. Lead delivery activities from inception to go-live, coordinating analysts, developers and stakeholders to support on-time, quality releases. Mentor business analysts and development teams to improve Agile delivery practices, requirement quality and solution consistency. Prepare and maintain functional specifications, solution documentation and support materials that enable stakeholder approval and efficient development. Define test scenarios, validate delivered functionality and provide business acceptance to improve release quality and reduce defects. Create workflows, interface designs and mock-ups that accelerate solution validation and improve user understanding. Investigate operational incidents and defects, identify root causes and support corrective actions to improve system stability. Build and maintain test libraries that strengthen manual and automated regression coverage.<br>Knowledge, Skills and Abilities:<br>Experience of working on Air Cargo management systems and expert level knowledge in the domain the Air Cargo workflow (sales/operations) Knowledge of industry inter-system message formats, rules and applications Excellent written and oral communications skills in English Knowledge of relational and non-relational databases and reporting applications Knowledge of all common PC software Knowledge of external interfacing systems Systematic approach to handling problems under pressure as part of a small team. Knowledge in user experience (UX) Knowledge of RESTful APIs. Knowledge of integration testing of APIs using tools like Swagger, Postman. Knowledge of creation of API documentation using YAML specifications. Creatively analytical, out of the box thinkers who can backup ideas their ideas with research Team players who are comfortable collaborating with graphic designers, web architects and the clients themselves Knowledge in prototyping use of any wire framing tool. Experience in using any wire framing tools such as Invision, Marvel, Proto.io, Framer, Axure. Knowledge and experience in Agile software development, Scrum methodology and user story creation.<br>Education and Experience:Bachelor’s Degree in Information Technology, Business Management Has sound experience in functional analysis and support of systems5 to 7 years of experience working in the Air Cargo domain.<br>The selected candidate may be subject to the provision of an up-to-date (not older than 3 months) criminal record certificate.<br>Security: the successful candidate will have to comply with CHAMP Security Requirements (including but not limited to CHAMP’s IT Security Policies, especially the ISMS Policy and the Acceptable Use Policy, mandatory courses, confidentiality and data protection, use of company assets, and incident reporting).<br>CHAMP Cargosystems is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, ethnic background, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.<br>Please note that any personal data that you submit along with your application will be processed by CHAMP and may be processed by any of its global entities as necessary. These data will be treated in strict compliance with the applicable data protection legislation (i.e. the Law of 2 August 2002 on the protection of individuals with regard to the processing of personal data, as amended, and Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016, - the GDPR -, which entered into force on 25 May 2018, as well as any other subsequent regulation). Please follow the link to the CHAMP Candidates Privacy Notice for further information.

Job Overview<br><br>We are seeking a high-caliber Senior Business Systems Analyst to join our team in Riyadh. In this role, you will act as the critical bridge between our KSA-based clients, product leads, and offshore engineering teams. We are looking for an analytical powerhouse who excels at decomposing complex business visions into precise, technical specifications. The ideal candidate is a native Arabic speaker who understands the nuances of the Saudi market and can navigate the full Software Development Life Cycle (SDLC) with technical rigor and professional maturity.<br><br>Key Responsibilities<br><br>Requirement Engineering: Facilitate discovery sessions with stakeholders to extract, challenge, and refine business requirements into functional and technical specifications Technical Documentation: Produce high-quality, developer-ready documentation, including BRDs, SRS, and detailed User Stories with clear Acceptance Criteria (Gherkin style preferred) System & Process Modeling: Architect logical solution flows using BPMN 2.0, flowcharts, state diagrams, sequence diagrams, ERDs, and integration mappings Backlog Management: Own and maintain the product backlog in Jira or Azure Dev Ops, ensuring items are prioritized, estimated, and meet the Definition of Ready Validation & QA Support: Collaborate with QA teams to align test cases with business logic and lead User Acceptance Testing (UAT) cycles with clients Localization: Ensure system logic and user flows are culturally and linguistically optimized for the KSA market<br><br>Requirements<br><br>Qualifications<br><br>Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field.<br><br>Experience: 6+ years of experience in Business Systems Analysis, with a proven track record in Mobile & Web Product Development.<br><br>Process & Tool Proficiency:<br><br> Strong expertise in business analysis methodologies, requirement elicitation, and stakeholder management Hands-on experience with backlog and collaboration tools like Jira, Azure Dev Ops, Confluence, and MS Visio (or similar) Deep understanding of SDLC and Scrum agile frameworks<br><br>Data & Technical Skills:<br><br> Practical knowledge of databases and SQL querying Familiarity with BI reporting tools (Power BI, Tableau) to support data-driven decision-making Pega knowledge is a plus<br><br>Communication & Domain Knowledge:<br><br> Native Arabic speaker with excellent English fluency (written and spoken) Ability to present complex technical logic clearly to non-technical stakeholders Familiarity with KSA digital transformation trends and regulatory environments is a strong plus<br><br>Professional Attributes:<br><br> Strong analytical and problem-solving skills to evaluate business challenges and propose viable technical solutions Proven track record working in cross-functional teams and handling multiple projects simultaneously High attention to detail and a commitment to meeting deadlines in a fast-paced environment

Position Overview We are seeking a highly analytical and detail-oriented Senior HR Data Analyst / HRIS to lead the HR management, optimization, and analysis of HR systems and workforce data. This role is responsible for ensuring data integrity, generating actionable insights, and supporting strategic decision-making across the HR function. The ideal candidate combines strong technical expertise in HR systems with advanced analytical skills and a deep understanding of HR processes.<br>Key Responsibilities Analyze complex HR data sets to identify trends, patterns, and insights related to workforce metrics (e.g., turnover, engagement, performance, diversity). Develop and maintain dashboards, scorecards, and reports for leadership and HR stakeholders. Provide data-driven recommendations to support workforce planning and organizational strategy. Design predictive models to forecast HR trends such as attrition and hiring needs. Serve as the primary administrator for HRIS platforms Ensure data accuracy, system integrity, and compliance with internal policies and external regulations. Establish and enforce HR data governance policies, standards, and best practices. Ensure compliance with data privacy regulations (e.g. local labor laws). Conduct regular audits to maintain data quality and security. Identify opportunities to streamline HR processes through automation and system enhancements. Implement workflow improvements to increase efficiency and reduce manual effort. Collaborate with HR teams to optimize end-to-end processes (recruitment, onboarding, performance management, etc.). Partner with HR Business Partners, Talent Acquisition, and leadership teams to understand data needs. Translate business requirements into technical solutions and reporting outputs. Provide training and support to HR users on HRIS tools and reporting capabilities.<br>Qualifications & Requirements Education & Experience Bachelor’s degree in Human Resources, Business Administration, Data Analytics, Information Systems, or related field (master’s preferred).5–8+ years of experience in HR analytics, HRIS administration, or a related role. Proven experience working with enterprise HR systems. Technical Skills Advanced proficiency in HRIS platforms (e.g., Workday, SAP, Oracle). Strong skills in data analysis tools such as Excel, SQL, Power BI, Tableau, or similar. Experience with data modeling, database management. Familiarity with statistical analysis and predictive modeling techniques is a plus. Core Competencies Strong analytical thinking and problem-solving abilities. High attention to detail and data accuracy. Excellent communication and data storytelling skills. Ability to manage multiple priorities in a fast-paced environment. Strong understanding of HR processes and metrics. Preferred Qualifications Certification in HRIS systems or data analytics (e.g., Workday Certification, SHRM, CIPD, or similar). Experience with AI-driven HR analytics tools. Knowledge of workforce planning and organizational design.

JOB PURPOSE:<br>The Business Analyst is responsible for analyzing customer experience data, preparing management reports, identifying business process improvement opportunities, and supporting strategic initiatives that enhance customer satisfaction and operational efficiency. The role serves as a key link between data, business operations, and customer experience teams to drive informed decision-making and continuous improvement across the organization.<br>KEY ACCOUNTABILITIES<br>Data Analysis & Insights<br>Collect, analyze, and interpret customer experience, operational, and business performance data. Monitor key customer experience KPIs including Customer Satisfaction, Customer loyalty, complaints, customer inquiries, turnaround times, and service levels. Identify trends, patterns, and root causes impacting customer experience and operational performance. Conduct ad-hoc analysis to support business decisions and management requests. Develop actionable recommendations based on data-driven insights.<br>Reporting & Dashboard Management<br>Prepare weekly, monthly, and quarterly management reports. Develop and maintain business performance dashboards using Power BI, Excel, and other reporting tools. Track departmental KPIs and provide insights to management on performance trends. Ensure data accuracy, consistency, and integrity across reports. Present findings and recommendations to management through professional presentations and reports.<br>Business Process Improvement (BPI)<br>Analyze existing business processes and customer journeys to identify inefficiencies and improvement opportunities. Support process mapping, workflow optimization, and re-engineering initiatives. Participate in Lean, Six Sigma, and continuous improvement projects. Conduct root cause analysis and recommend corrective actions to improve operational effectiveness. Manage complement implementation cycle of improvement initiatives like requirements gathering, preparing Business Requirement Documents, Testing and final roll out. Coordinate with IT, Operations, Commercial, and other related departments to finalize business requirements and process mapping to ensure alignment of improvement initiatives. In case of e-Services, coordinate with customers to conduct demo and adoption of e-services. Post implementation monitoring to ensure service reliability, prevention of revenue leakage and customer satisfaction.<br>Customer Experience Enhancement<br>Analyze customer feedback, surveys, complaints, and service interactions to identify pain points. Support initiatives aimed at improving customer satisfaction and service delivery. Work closely with operational departments to implement customer experience improvements. Track effectiveness of customer experience programs and recommend enhancements.<br>Key Performance Indicators (KPIs)<br>Accuracy and timeliness of management reports. Quality of business insights and recommendations. Number of process improvement opportunities identified. Benefits realized through process improvement initiatives. Dashboard and reporting availability and accuracy. Customer satisfaction improvement contribution. Project delivery support and stakeholder satisfaction.<br>QUALIFICATIONS, EXPERIENCE AND SKILLS:<br>Bachelor's degree in business administration, Shipping and Logistics, Data Analytics, Information Systems, or any related field. Certification in Business Analysis, Lean Six Sigma, or Process Improvement is an advantage.1-3 years of experience in Business Analysis, Reporting, Data Analytics, Customer Experience, or Process Improvement. Experience in Shipping industry is preferred. Able to communicate effectively in English / Arabic (Verbal / Written) Computer Skills, working knowledge of MS office applications, Power BI and AI Tools. Root cause analysis and Problem-solving methodologies. Excellent telephonic skills and active listening Working knowledge of CRM systems and practices Customer orientation and ability to adapt/respond to different types of personalities. Excellent communication and presentation skills Ability to multi-task, prioritize and manage time effectively Positive Attitude and Adaptability Attention to Detail Problem Solving Ability to Work Under Pressure

General Description<br>We are seeking an experienced Informatica Enterprise Data Catalog (EDC) Analyst to support enterprise metadata management and data governance initiatives within a leading banking organization.<br>The successful consultant will work with Data Governance, Data Architecture, and Business teams to implement and maintain Informatica Enterprise Data Catalog (On-Premises), ensuring enterprise-wide metadata discovery, lineage, cataloging, and governance.<br>This is a 6-month onsite contract in Riyadh with expected extension.<br>Key Responsibilities Configure, maintain, and support Informatica Enterprise Data Catalog (EDC) On-Premises across enterprise environments. Perform metadata harvesting from databases, ETL tools, reporting platforms, and enterprise applications. Build and maintain enterprise metadata repositories and business glossaries. Develop and maintain end-to-end data lineage across critical banking systems. Support data classification, metadata management, and catalog governance activities. Collaborate with Data Governance, Data Architecture, and Business teams to improve metadata quality and usability. Perform impact analysis to support system enhancements and regulatory initiatives. Maintain metadata standards, naming conventions, and governance documentation. Assist in identifying data owners, data stewards, and critical data elements across the organization. Troubleshoot metadata scanning, lineage, and catalog-related issues. Support enterprise data governance initiatives, audits, and compliance reporting. Provide user support, documentation, and training related to Informatica EDC capabilities.<br>Required Skills Strong hands-on experience with Informatica Enterprise Data Catalog (EDC) On-Premises. Experience configuring, maintaining, and administering Informatica EDC environments. Strong understanding of metadata management, metadata harvesting, and metadata repositories. Experience implementing and maintaining enterprise data catalogs and business glossaries. Strong knowledge of data lineage, impact analysis, and source-to-target mapping. Experience with Informatica Power Center, ETL processes, and enterprise data integration. Strong SQL skills and experience working with Oracle, SQL Server, or other enterprise databases. Knowledge of enterprise Data Governance, Data Stewardship, and Data Management frameworks. Experience documenting metadata standards, governance processes, and technical documentation. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Ability to collaborate with business, architecture, governance, and engineering teams. Experience working within Agile or hybrid delivery environments.<br>Preferred Experience Banking or financial services industry experience. Experience implementing enterprise Data Governance programs. Experience with Informatica Axon and broader Informatica Data Governance solutions. Experience working with enterprise data warehouses, data lakes, or analytical platforms. Familiarity with banking data domains, including customer, accounts, payments, loans, treasury, and risk. Knowledge of BCBS239, Basel, AML, KYC, or other financial regulatory requirements. Experience supporting metadata governance, data stewardship, and regulatory reporting initiatives. Exposure to cloud migration or hybrid data platform environments. Informatica certifications are highly desirable.

Job Summary<br><br>We are seeking an experienced Senior Business Analyst - Corporate Banking to bridge the gap between business stakeholders and technology teams by analyzing business requirements, designing innovative banking solutions, and driving digital transformation initiatives.<br><br>The ideal candidate will have strong expertise in Corporate Banking products, excellent analytical skills, and proven experience delivering banking technology projects within Agile or Waterfall environments.<br><br>Key Responsibilities<br><br>Business Analysis<br><br> Gather, analyze, validate, and document business requirements from Corporate Banking stakeholders. Conduct workshops and requirement gathering sessions with business users. Translate business needs into detailed Functional Requirements. Prepare Business Requirement Documents (BRD), Functional Requirement Documents (FRD), User Stories, Use Cases, and Process Flows. Perform Gap Analysis and identify opportunities for process improvement. Evaluate existing business processes and recommend efficient business solutions. <br><br>Solution Design<br><br> Collaborate with Solution Architects, Product Owners, and Development teams to design scalable banking solutions. Review proposed solutions to ensure alignment with business objectives. Participate in system integration analysis and solution design discussions. Support API and interface requirement analysis. <br><br>Corporate Banking Domain<br><br>Analyze and support business requirements related to Corporate Banking products, including:<br><br> Corporate Accounts Corporate Payments Cash Management Liquidity Management Trade Finance Corporate Lending Treasury Integration Corporate Digital Banking Customer Onboarding Virtual Accounts <br><br>Project Delivery<br><br> Participate in Agile ceremonies including Sprint Planning, Backlog Grooming, and Sprint Reviews. Prepare User Stories and Acceptance Criteria. Support development teams throughout the SDLC. Manage requirements traceability. Participate in Functional Testing, System Integration Testing (SIT), and User Acceptance Testing (UAT). Support production deployment and post-go-live activities. <br><br>Stakeholder Management<br><br> Work closely with Business Users, Product Owners, Solution Architects, Developers, QA Teams, Vendors, and Project Managers. Facilitate communication between business and technical teams. Present business requirements and proposed solutions to key stakeholders. Ensure business expectations are aligned with delivered solutions. <br><br>Benefits<br><br> Bachelor's degree in Computer Science, Information Systems, Business Administration, Finance, or a related field. Minimum 7 years of Business Analysis experience. Minimum 5 years of experience in Corporate Banking projects. Strong understanding of Software Development Life Cycle (SDLC). Experience working within Agile and/or Waterfall delivery methodologies. Excellent analytical, communication, and stakeholder management skills<br><br>Required Banking Experience<br><br>Strong experience in one or more of the following domains:<br><br> Corporate Banking Cash Management Corporate Payments Trade Finance Corporate Lending Treasury Digital Banking <br><br>Technical Skills<br><br>Hands-on experience with:<br><br> Business Requirement Documents (BRD) Functional Requirement Documents (FRD) User Stories Use Cases Process Mapping BPMN / UML Microsoft Visio Jira Confluence SQL (Preferred) REST APIs Swagger / Postman (Preferred) <br><br>Preferred Experience<br><br>Experience with one or more Core Banking or Financial Services platforms is preferred, such as:<br><br> Temenos Transact (T24) Finastra Oracle Banking Finacle Murex Other Corporate Banking platforms <br><br>Preferred Certifications<br><br> CBAP PMI-PBA Agile Business Analysis Scrum Certification

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to know our team: <br><br>The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. . The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.<br><br>Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: <br><br>Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests. Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders<br><br>What you’ll Need to Succeed: <br><br>Bachelor’s degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science) Excellent verbal and written communication skills in English2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BIAbility to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel Innate desire to take ownership, make an impact and influence outcomes Excellent organizational skills, attention to detail and ability to work independently<br><br>It’s great if you have: <br><br>Experience in digital marketing or ecommerce Experience with A/B testing and other testing metrics Strong presentation and negotiation skills Skills that foster collaboration and team spirit<br><br>#STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About the Role<br>The AI/ML Support Analyst will be a key member of the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team, supporting the delivery of AI research services to KAUST's diverse research community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation to researchers across multiple scientific domains, including Climate & Weather, Bioinformatics, CFD, NLP, and multimodal AI. The analyst will help bridge the gap between cutting-edge computational infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>Generative AI Development and Consulting Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and consult on large-scale Generative AI model training on domain-specific datasets across research areas including Climate & Weather, Bioinformatics, Computational Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines to support AI research workflows. Design and implement efficient AI workflows optimized for KSL's high-performance computing environment. Build and maintain secure, OCI-compliant, HPC-ready container images using Singularity, Podman, or similar. Develop complex workflows using SLURM and Kubernetes for distributed training and inference.<br>Governance and Compliance Support Conduct computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Support researchers in designing secure, compliant, and performant workflows. Provide expert consultation to researchers on efficient utilization of AI resources and best practices. Support the implementation of usage monitoring and reporting systems. Ensure user workflows comply with KSL security policies and best practices.<br>Benchmarking and Quality Assurance Develop and maintain computational benchmarks for AI workloads on KSL systems. Create and maintain regression testing workloads to stress test system functionality. Support performance debugging and optimization activities for research workloads. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments. Perform benchmarking of new hardware and software configurations.<br>Training and Documentation Create comprehensive training materials for end-users on KSL’s HPC systems hosting AI workloads and tools. Develop and maintain high-quality technical documentation. Support the delivery of workshops on distributed training, fine-tuning, and inference optimization. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of computational resources.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Strong academic foundation in machine learning, deep learning, and AI fundamentals.<br>Required Skills<br>Technical Skills - Essential Programming: Proficiency in Python; experience with R, Julia, Rust or C/C++ is a plus. AI/ML Frameworks: Strong expertise in PyTorch and/or Tensor Flow, JAX or similar. Generative AI: Experience with foundation model development and fine-tuning techniques. HPC Systems: Experience developing complex workflows using SLURM and/or Kubernetes. Containerization: Experience building efficient HPC-ready container images using Singularity, Podman or similar. Data Engineering: Experience with data engineering techniques for developing AI pipelines. Linux: Strong Linux/Unix skills and bash scripting capabilities.<br>Technical Skills - Desired Experience with Cray EX supercomputers with NVIDIA GPUs. Experience with Kubeflow pipelines and Kubeflow Training Operator. Experience with distributed inference frameworks (NVIDIA Triton, NIM, SGLang, llama.cpp, llm-d, LLMcache). Knowledge of security vulnerability inspection in software libraries, AI models, datasets, and pipelines. Experience with software supply chain tools (JFrog, Nexus, Trivy, Cloudsmith). Experience with data management on S3-compatible object storage at scale. Experience with high-performance distributed filesystems (Lustre, Weka IO, VAST Data). Proficiency with NVIDIA Nsight and Compute for profiling AI workloads on GPUs. Experience developing CI/CD pipelines using Git Lab, Travis, Circle CI, or similar tools. Experience with software build tools (autoconf, CMake, scons, SPACK, Easy Build, Conda, Pip).<br>Soft Skills Strong problem-solving and analytical abilities. Excellent written and verbal communication skills in English. Customer service mindset with patience for supporting diverse skill levels. Ability to work independently and as part of a collaborative team. Strong documentation and knowledge-sharing practices. Cultural sensitivity for working in an international environment.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Testing and Quality Assurance Analyst based in Saudi Arabia.<br><br>This is a remote contract opportunity supporting the implementation and enhancement of enterprise information systems within a healthcare and clinical environment. The role focuses on ensuring that systems meet functional and non-functional requirements through rigorous testing and validation. You will contribute across requirements analysis, process mapping, test planning, scenario development, and execution. The position offers the opportunity to work on complex web and client-server applications where quality, accuracy, and reliability are critical. You will collaborate with project and business stakeholders to translate requirements into effective testing strategies. Your expertise will help ensure that technology solutions are fit for purpose and support effective clinical and organizational processes.<br><br>Accountabilities<br><br>Develop and execute comprehensive test scenarios, scripts, and test cases to validate compliance with functional and non-functional requirements. Design detailed testing strategies and conduct testing for enterprise information systems, including web and client-server applications. Support information system implementation projects by analyzing and documenting customer requirements, business processes, and functional and non-functional needs. Perform process mapping and identify capability gaps between business requirements and existing or proposed system functionality. Provide clear documentation of testing activities, results, defects, and validation outcomes. Contribute testing expertise within clinical environments, including implementations involving the Altera Sunrise suite of products. Work closely with project stakeholders and delivery teams to identify quality risks, validate solutions, and support successful system implementations.<br><br>Requirements<br><br>Degree, diploma, or certification in Software Engineering; proof of the relevant qualification is required. At least 10 years of experience developing and executing test scenarios, scripts, and cases demonstrating conformance with functional and non-functional requirements, supported by at least three detailed project or work examples totaling 10 or more years. At least 5 years of experience developing detailed test cases and scenarios and executing testing for information systems, including at least one example in a clinical setting and at least three examples totaling 5 or more years. At least 5 years of experience in an analyst role supporting information system implementation projects and process mapping, including requirements documentation, business process analysis, and capability-gap identification. At least 5 years of software testing experience involving test case design and development for client-server and web applications. At least 6 months of experience developing scenarios and executing testing for implementations of the Altera Sunrise suite of products within a clinical environment. Strong analytical, documentation, communication, and problem-solving skills, with the ability to translate complex business and technical requirements into structured testing activities. Candidates should be prepared to provide specific examples of relevant projects, including project titles, responsibilities, durations, and details of the work performed.<br><br>Benefits<br><br>Remote work arrangement. Contract opportunity with exposure to enterprise information systems in a healthcare and clinical environment. Opportunity to contribute to complex technology implementation and quality assurance initiatives. Work involving web and client-server applications, requirements analysis, process mapping, and system validation. Opportunity to apply specialized testing expertise to clinically relevant technology solutions. Compensation and other contractual terms to be determined based on the engagement and candidate profile.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Role<br>The AI/ML Support Analyst will be a key member of the KAUST Supercomputing Lab’s (KSL) AI/ML Support Team, supporting the delivery of AI research services to KAUST's diverse research community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation to researchers across multiple scientific domains, including Climate & Weather, Bioinformatics, CFD, NLP, and multimodal AI. The analyst will help bridge the gap between cutting-edge computational infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>Generative AI Development and Consulting Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and consult on large-scale Generative AI model training on domain-specific datasets across research areas including Climate & Weather, Bioinformatics, Computational Fluid Dynamics (CFD), NLP, and multimodal AI. Support researchers in fine-tuning foundation models on domain-specific datasets using advanced optimization techniques. Develop data engineering pipelines to support AI research workflows. Design and implement efficient AI workflows optimized for KSL's high-performance computing environment. Build and maintain secure, OCI-compliant, HPC-ready container images using Singularity, Podman, or similar. Develop complex workflows using SLURM and Kubernetes for distributed training and inference.<br>Governance and Compliance Support Conduct computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Support researchers in designing secure, compliant, and performant workflows. Provide expert consultation to researchers on efficient utilization of AI resources and best practices. Support the implementation of usage monitoring and reporting systems. Ensure user workflows comply with KSL security policies and best practices.<br>Benchmarking and Quality Assurance Develop and maintain computational benchmarks for AI workloads on KSL systems. Create and maintain regression testing workloads to stress test system functionality. Support performance debugging and optimization activities for research workloads. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments. Perform benchmarking of new hardware and software configurations.<br>Training and Documentation Create comprehensive training materials for end-users on KSL’s HPC systems hosting AI workloads and tools. Develop and maintain high-quality technical documentation. Support the delivery of workshops on distributed training, fine-tuning, and inference optimization. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of computational resources.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Strong academic foundation in machine learning, deep learning, and AI fundamentals.<br>Required Skills<br>Technical Skills - Essential Programming: Proficiency in Python; experience with R, Julia, Rust or C/C++ is a plus. AI/ML Frameworks: Strong expertise in PyTorch and/or Tensor Flow, JAX or similar. Generative AI: Experience with foundation model development and fine-tuning techniques. HPC Systems: Experience developing complex workflows using SLURM and/or Kubernetes. Containerization: Experience building efficient HPC-ready container images using Singularity, Podman or similar. Data Engineering: Experience with data engineering techniques for developing AI pipelines. Linux: Strong Linux/Unix skills and bash scripting capabilities.<br>Technical Skills - Desired Experience with Cray EX supercomputers with NVIDIA GPUs. Experience with Kubeflow pipelines and Kubeflow Training Operator. Experience with distributed inference frameworks (NVIDIA Triton, NIM, SGLang, llama.cpp, llm-d, LLMcache). Knowledge of security vulnerability inspection in software libraries, AI models, datasets, and pipelines. Experience with software supply chain tools (JFrog, Nexus, Trivy, Cloudsmith). Experience with data management on S3-compatible object storage at scale. Experience with high-performance distributed filesystems (Lustre, Weka IO, VAST Data). Proficiency with NVIDIA Nsight and Compute for profiling AI workloads on GPUs. Experience developing CI/CD pipelines using Git Lab, Travis, Circle CI, or similar tools. Experience with software build tools (autoconf, CMake, scons, SPACK, Easy Build, Conda, Pip).<br>Soft Skills Strong problem-solving and analytical abilities. Excellent written and verbal communication skills in English. Customer service mindset with patience for supporting diverse skill levels. Ability to work independently and as part of a collaborative team. Strong documentation and knowledge-sharing practices. Cultural sensitivity for working in an international environment.

Description About GE Vernova GE Vernova is a planned, purpose-built global energy company that includes Power, Wind, and Electrification businesses and is supported by its accelerator businesses of Advanced Research, Consulting Services, and Financial Services. Building on over 130 years of experience tackling the world’s challenges, GE Vernova is uniquely positioned to help lead the energy transition by continuing to electrify the world while simultaneously working to decarbonize it. GE Vernova helps customers power economies and deliver electricity that is vital to health, safety, security, and improved quality of life. GE Vernova is headquartered in Cambridge, Massachusetts, U. S., with more than 80,000 employees across 100+ countries around the world.<br>GE Vernova’s Gas Power business engineers advanced, efficient natural gas-powered technologies and services, along with decarbonization solutions that aim to help electrify a lower carbon future. As part of the Gas Power One Field Services team, Field Core installs, maintains and upgrades power generation equipment, enabling operators of the world’s energy infrastructure to provide more reliable and affordable energy.<br>Job Summary<br>The Immigration Analyst will be a strategic partner to Professionals, Managers and Directors of multiple functions, external stakeholders, governments, and immigration service providers to take the lead on the successful execution and development of the Immigration Strategy within Region or Segment. Will develop and manage a range of highly complex immigration projects with the aim of delivering a highly efficient and lean immigration service.<br>Essential Duties & Responsibilities<br>Work under very limited supervision and utilize considerable immigration knowledge to manage a moderate to highly complex level of immigration casework Seamlessly carry out moderate to highly complex, sequential projects while considering contingencies and alternatives Utilize specialized practical immigration expertise of processes and procedures and stakeholder viewpoint to propose new immigration projects, contribute or influence the Immigration Strategy and process improvements Solve a range of complex immigration problems based on practice, precedent, recognized procedures, and existing solutions, having some discretion on matters of significance Analyze, plan, and coordinate all requirements of an immigration process from initial consultation and eligibility assessment, to drafting technical advice and documentation preparation, while ensuring legal compliance, optimal processing timeliness, and maximum efficiency Provide operational support to Professionals, Managers and Directors by proactively responding to immigration inquiries, identifying, and analyzing a range of existing problems, researching potential solutions, alternatives, and recommended courses of action Serve as liaison between employees, internal stakeholders, outside immigration counsel, and other immigration service providers to act as first point of remediation for any issues Maintain data integrity in accordance with the Immigration Department’s guidelines by tracking visa, work permit, and residence permit progress through the Immigration systems Proactively act as a lead or resource for junior team members to manage work performance Solicit input from stakeholders, vendors, and providers to anticipate changes and improve or create processes that will benefit Field Core Develop training guides, materials to assist other immigration team members and employees with Immigration processes and procedures Manage the local relationships, performances, and evaluations of immigration vendors and providers to ensure a clear understanding of the company’s needs and business objectives and costs are tracked and reviewed Travel may be required May be assigned other duties to help proactively drive our Field Core vision and align with our organization’s core values.<br>Required Qualifications & Experience<br>High School Diploma5+ years Immigration-specific experience, or equivalent English proficiency required<br>Desired Characteristics<br>Bachelor’s degree preferred Strong interpersonal, organizational, customer service, verbal, and written communication skills Excellent time and project management skills to meet tight deadlines<br>Field Core is an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, marital status, pregnancy, sexual orientation, ancestry, genetic information, gender identity, or any other characteristic protected by law.

About the Role<br>The End User Computing Analyst provides technical support for KAUST faculty, staff, and departments by diagnosing, resolving, and preventing hardware, software, and end-user computing issues. The role ensures reliable operation of desktops, laptops, peripherals, and related systems, while maintaining high service standards and contributing to continuous improvement of end-user support services.<br>Responsibilities<br>Investigate, diagnose, and resolve hardware, software, and peripheral issues across University‑supported devices to ensure minimal disruption to users. Install, configure, and maintain personal computers, operating systems, and related equipment, ensuring compliance with KAUST standards and procedures. Provide integrated hardware/software troubleshooting, including resolving system conflicts, failures, and configuration issues. Deliver technical assistance to faculty, staff, and departmental support teams, ensuring timely and professional resolution of service requests. Maintain and track IT assets, including acquisition, distribution, movement, and disposal, ensuring accurate configuration and license records. Identify and address unauthorized or unlicensed software installations to maintain compliance. Conduct hardware and software installations or removals, perform testing, correct malfunctions, and document results according to established procedures. Maintain accurate records of user requests, incidents, resolutions, and change requests within the service management system. Contribute to the development and improvement of installation procedures, support standards, and documentation. Provide individual or group training sessions to faculty and staff on end‑user technologies and best practices. Lead small-scale technical projects or sub‑projects (typically under six months), including planning, risk assessment, stakeholder communication, and closure activities. Develop and implement approved changes following established change control processes. Escalate risks, issues, and unresolved incidents to management as required. Mentor junior technicians and support staff, providing guidance and knowledge sharing. Coordinate with the Help Desk and other support teams to ensure consistent handling and timely escalation of end-user requests and incidents. Provide on-site support for network and communication equipment issues affecting end-user devices, escalating complex infrastructure faults to the appropriate specialist teams. Maintain and report on service metrics, including work order status, resolution times, and utilization of support resources, to inform continuous service improvement. Perform other applicable tasks and duties assigned within the scope of the employee’s skills and capabilities.<br>Qualifications<br>Essential Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Preferable Certifications or training in Windows and mac OS support tools and technologies. ACSA or equivalent professional certification. Additional certifications in device management, deployment, or IT service management. Basic knowledge of Linux operating systems.<br><br>Required Skills<br>Minimum 6 years of experience providing end-user support in a professional IT environment, including:Hands-on experience with Windows and mac OS remote support tools. Experience with device deployment solutions for Windows and mac OS. Experience working with directory services such as Active Directory or Open Directory. Experience leading small technical projects or mentoring junior staff. Experience in higher education or large enterprise environments.

General Description<br>Join a leading banking transformation program in Riyadh supporting a major financial institution's enterprise data governance initiative.<br>We are looking for an experienced Informatica Data Quality Analyst to support enterprise-wide data quality management, profiling, monitoring, and remediation initiatives using Informatica Data Quality (IDQ) On-Premises.<br>The consultant will work closely with Data Governance, Business, Data Management, and Technology teams to improve data accuracy, consistency, completeness, and regulatory compliance across critical banking domains.<br>This is a 6-month contract engagement with strong potential for extension.<br>Key Responsibilities<br>Design, develop, and maintain data quality rules, scorecards, and validation processes using Informatica Data Quality (IDQ) On-Premises. Perform data profiling, data discovery, and quality assessments across enterprise banking data assets. Analyze data quality issues, identify root causes, and recommend remediation strategies. Collaborate with business stakeholders to define business rules, data quality standards, and validation requirements. Monitor enterprise data quality metrics and prepare dashboards and reports for governance teams. Support data cleansing, standardization, matching, and deduplication initiatives. Work closely with ETL, Data Engineering, and Database teams to resolve data quality issues. Document data quality rules, technical specifications, and governance processes. Participate in User Acceptance Testing (UAT) and validate data quality improvements. Ensure compliance with enterprise data governance policies and banking regulatory requirements. Support production deployments, issue investigations, and ongoing optimization of Informatica IDQ solutions. Provide recommendations to improve overall data quality processes and governance maturity.<br>Required Skills Strong hands-on experience with Informatica Data Quality (IDQ) On-Premises. Experience developing and maintaining data quality rules, scorecards, and validation frameworks. Strong knowledge of data profiling, data cleansing, data standardization, matching, and deduplication techniques. Experience with Informatica Power Center and ETL processes. Strong SQL skills with experience querying and validating large datasets. Experience working with Oracle, SQL Server, or other enterprise relational databases. Understanding of enterprise Data Governance and Data Management principles. Experience performing root cause analysis and data quality issue remediation. Knowledge of metadata management and enterprise data lifecycle concepts. Strong analytical, troubleshooting, and problem-solving skills. Experience working with business stakeholders to define data quality requirements and business rules. Excellent documentation, communication, and stakeholder management skills. Ability to work in Agile or hybrid project delivery environments.<br>Preferred Experience Banking or financial services industry experience. Experience supporting enterprise data governance initiatives. Experience working with customer, accounts, loans, payments, treasury, risk, or regulatory reporting data domains. Familiarity with BCBS239, Basel, AML, KYC, or other banking regulatory frameworks. Experience with Informatica Axon or Informatica Enterprise Data Catalog (EDC). Experience supporting enterprise data warehouse or data lake environments. Exposure to Master Data Management (MDM) solutions. Experience participating in UAT, production deployments, and production support. Relevant Informatica certifications are an advantage.

<h3 >About the Role</h3> <p >Salla is seeking a <strong >Senior Product Data Analyst</strong> to join its team in Jeddah, Makkah Province. This is a full-time position focused on leveraging data to inform and enhance product development. The successful candidate will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance insights into actionable decisions.</p> <h3 >Role Context and Impact</h3> <p >This role involves end-to-end ownership of analytics for a specific product area. Responsibilities range from defining success metrics and measurement plans to analyzing experiments, monitoring product launches, and providing recommendations for next steps. Given the complexity and scale of Salla's products, the role requires an experienced analyst who can quickly learn new domains, synthesize information from incomplete inputs, and make rigorous decisions efficiently, even with ambiguous data.</p> <h3 >Key Responsibilities</h3> <ul > <li >Partner with product teams to translate questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li> <li >Own analytics across key product journeys, including funnels, feature adoption, engagement, conversion, retention, and segmentation.</li> <li >Conduct deep-dive analyses to diagnose performance changes, uncover root causes, and recommend product opportunities.</li> <li >Design and analyze A/B tests and impact evaluations, covering metric selection, guardrails, validation checks, and decision recommendations.</li> <li >Develop and validate tracking plans for new features.</li> <li >Measure product launches and build dashboards and self-serve tools for monitoring product health.</li> <li >Communicate findings, business impact, and trade-offs clearly, while contributing to team best practices and supporting junior analysts.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >A minimum of <strong >4 years of experience</strong> in product analytics, data analytics, or a related role within a technology or digital-product environment.</li> <li >Advanced SQL skills and practical experience working with large, complex datasets.</li> <li >Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li> <li >Hands-on experience with product experiments and a solid understanding of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.</li> <li >Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.</li> </ul> <h3 >Essential Skills and Attributes</h3> <ul > <li >Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau.</li> <li >Working knowledge of Python or R for data analysis.</li> <li >Strong product judgment and the ability to manage analytical work independently in ambiguous situations.</li> <li >Excellent communication and stakeholder-management skills, with the ability to influence product decisions through data-driven insights.</li> </ul> <h3 >Joining Salla</h3> <p >This role offers an opportunity to contribute to a dynamic product environment where analytical rigor and quick decision-making are valued. Candidates should be prepared to operate in a fast-paced setting, applying their expertise to complex challenges without always having a predefined playbook.</p>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Supply Chain Analyst based in Saudi Arabia.<br><br>This role offers an exciting opportunity for an early-career analyst to apply data and technology to real-world supply chain challenges.<br><br>You will analyze complex datasets to uncover trends, risks, and opportunities that can improve operational performance.<br><br>Working across Supply Chain, Finance, Procurement, R&D, engineering, and product teams, you will turn insights into practical recommendations.<br><br>Your work will contribute to cost improvement, inventory optimization, demand planning, logistics efficiency, and supplier performance.<br><br>You will also develop predictive models and optimization solutions using modern AI and machine learning techniques.<br><br>The position combines analytical problem-solving with hands-on work in Python, SQL, visualization, cloud platforms, and data-driven decision-making.<br><br>It is well suited to a curious, detail-oriented professional who wants to grow their technical and supply chain expertise in a dynamic environment.<br><br>Accountabilities<br><br>Analyze large and complex supply chain datasets to identify trends, operational risks, cost-saving opportunities, and performance improvement areas. Develop predictive models and optimization algorithms using AI and machine learning techniques to support supply chain decision-making. Collaborate with engineering and product teams to integrate analytics, models, and data-driven capabilities into supply chain platforms. Monitor key performance indicators and build dashboards using data visualization tools to provide clear, real-time visibility into operational performance. Support strategic initiatives involving inventory optimization, demand planning, logistics efficiency, procurement, supplier performance, and waste reduction. Work cross-functionally with Supply Chain, Finance, Procurement, R&D, engineering, and other stakeholders to translate business challenges into analytical solutions. Present analytical findings, insights, and recommendations to leadership and business stakeholders to support informed decision-making. Contribute to broader transformation and cost-improvement initiatives by applying data, automation, and analytical techniques to supply chain processes.<br><br>Requirements<br><br>Bachelor's or Master's degree in Supply Chain Management, Data Science, Engineering, or a related discipline.1–3 years of relevant professional experience, academic project experience, or comparable hands-on exposure to supply chain analytics or data analysis. Strong technical capabilities in Python, SQL, and data visualization platforms such as Tableau or Power BI. Experience or familiarity with AI/ML frameworks including Tensor Flow or PyTorch. Knowledge of cloud platforms such as AWS, Azure, or GCP. Solid understanding of supply chain fundamentals, including procurement, logistics, inventory management, and demand planning. Strong analytical and problem-solving abilities, with the capacity to work with large datasets and translate findings into actionable business insights. Excellent written and verbal communication skills, including the ability to present technical analysis clearly to non-technical stakeholders. Ability to collaborate effectively across multiple functions and work independently when required. Comfortable working in a fast-paced, evolving environment with a strong focus on results, learning, and continuous improvement. Curious and detail-oriented mindset with a genuine interest in applying technology and analytics to operational challenges.<br><br>Benefits<br><br>Salary: $24,000. Employment: Full-time position. Work Flexibility: Fully remote work arrangement. Professional Growth: Opportunity for an early-career professional to strengthen expertise across supply chain analytics, data science, AI/ML, and cloud technologies. Cross-Functional Exposure: Work closely with Supply Chain, Finance, Procurement, R&D, engineering, product, and business stakeholders. Technology Exposure: Hands-on opportunities involving Python, SQL, Tableau, Power BI, AI/ML frameworks, and major cloud platforms. Business Impact: Contribute to strategic cost improvement, inventory, demand planning, logistics, procurement, and supply chain transformation initiatives. Dynamic Environment: Join a fast-paced setting where analytical thinking, innovation, and data-driven decision-making are encouraged.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. 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