وظائف مطور قواعد بيانات - جدة السعودية

About the role:<br>Acuative is hiring a Senior Data Privacy Consultant to be embedded within the Personal Data Protection (PDP) function of a leading research university in Saudi Arabia. You will act as a hands-on extension of the DPO's team, running the day-to-day privacy operations program and strengthening the organization's compliance posture under the Saudi Personal Data Protection Law (PDPL) and SDAIA regulations. This is an operational role, not an advisory-only role. You will facilitate workshops with business units, populate and validate compliance artifacts, run assessments, manage incidents, and coach internal privacy champions so the organization becomes self-sufficient over time.<br>What you will do:<br>Records of Processing Activities (RoPAs) Identify business units and processing activities without RoPAs and build them through stakeholder workshops. Validate and update existing RoPAs with process owners, and secure sign-off from BU Heads and the DPO. Data Protection Impact Assessments (DPIAs) Develop or apply a process gating methodology to screen all processing activities and flag high-risk ones. Conduct DPIAs on high-risk activities, identify privacy risks and controls, assign risk and control owners, and obtain sign-off. Record all identified risks in the GRC platform and track them to closure. Third-Party Privacy Risk Management Identify data processors not yet subject to due diligence and build a High/Medium/Low risk tiering methodology. Assess high-risk processors, prescribe corrective actions and timelines, and coordinate with Procurement and the relevant BUs. Review vendor security controls in Data Processing Agreements (DPAs), perform transfer risk assessments, and embed required controls into DPAs and KSA Standard Contractual Clauses. Develop template security controls by contract type with Information Security, and update guidance for researchers on securing human subject research data. Data Breach Management Support the DPO on privacy incidents end to end: containment, root cause analysis, mitigation, and coordination with Cyber Incident Response, Legal, Communications, and HR. Support regulatory breach notifications and responses to SDAIA inquiries. Privacy Hub and Spoke Model Run workshops with BU Heads to appoint Privacy Champions across the organization. Define the Privacy Champion role (responsibilities, expectations) and secure management sign-off. Deliver 1-1 training to champions and manage a structured handover of privacy activities, with three months of SME support post-transition. Data Subject Rights (DSR) Handle DSR requests end to end: intake, register logging, validation, internal coordination, response, and closure. Identify and fix process bottlenecks in the DSR workflow. Data Minimization, Privacy Notices, and Retention Conduct data minimization reviews on intake forms, data sharing proposals, transfer risk assessments, and DPIAs. Review and update privacy notices based on RoPA and DPIA findings, changes in lawful basis, consent management, and legitimate interest procedures; draft new notices where needed. Review retention schedules against PDPL requirements and support process owners and technical stewards in setting compliant retention periods and technical SOPs for deletion. Privacy Training Develop and deliver specialized on-site privacy training for units and build online training modules. Ad-hoc Support Any other privacy tasks requested by the PDP function and the DPO.<br>What we are looking for:<br>Required:6+ years in data privacy, data protection, or GRC roles, with at least 2 years of hands-on operational privacy work (not purely policy or advisory). Deep working knowledge of the Saudi PDPL, its Implementing Regulations, the Data Transfer Regulations, and SDAIA guidance. Familiarity with GDPR is a strong plus. Proven experience building and maintaining RoPAs, conducting DPIAs, and running third-party privacy risk assessments. Experience managing personal data breaches, including regulatory notification. Experience handling Data Subject Rights requests and maintaining a DSR register. Strong workshop facilitation and stakeholder management skills across business, legal, IT, security, and procurement teams. Ability to draft clear compliance documentation: DPAs, SCCs, privacy notices, retention schedules, role definitions, and training material. Fluent English, written and spoken. Willingness to work on-site full-time in Thuwal, KSA.<br>Preferred:<br>CIPP/E, CIPM, CIPT, or equivalent privacy certification. Experience with GRC platforms (e.g., Service Now GRC, One Trust, Archer) for risk logging and tracking. Background in higher education, research institutions, or other environments handling human subject research data. Arabic language proficiency. Experience with information security frameworks (ISO 27001, NCA ECC) and reviewing technical security controls in vendor contracts.

Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.<br><br>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br><br>In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br><br>What We Do<br><br>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br><br>About The Role<br><br>This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, Open Router, and other technologies, alongside your own technical expertise and approaches.<br><br>Key Responsibilities<br><br>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle Java Script-rendered content and changing site behavior Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes<br><br>Educational Qualifications<br><br>At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required) Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus<br><br>Academic and/or Professional Experience<br><br>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.<br><br>Technical Skills (Essential)<br><br>Strong experience in Python web scraping (Beautiful Soup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)<br><br>Additional Requirements<br><br>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to Git Hub is a plus English proficiency: Upper-intermediate (B2) or above (required)<br><br>Project time expectations <br><br>For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.<br><br>Compensation<br><br>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.<br><br>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

<h3 >About the Role at Hummus Refi</h3> <p >Hummus Refi is seeking a dedicated <strong >Data Entry Specialist</strong> to join our team. This is a full-time, on-site position based in Jeddah, within the Makkah region. The successful candidate will be responsible for maintaining the accuracy and integrity of critical company data across various systems.</p> <h3 >Role Overview</h3> <p >The Data Entry Specialist plays a crucial role in ensuring that all company information, including customer details, order specifics, inventory records, and administrative documents, is accurately entered, updated, and meticulously maintained. This position requires a high level of attention to detail and a commitment to data security within a fast-paced environment.</p> <h3 >Key Responsibilities</h3> <ul > <li >Review data for completeness and accuracy before entry into company systems.</li> <li >Perform routine data audits and collaborate with relevant team members to resolve any discrepancies.</li> <li >Operate and utilize various computer-based applications for data management.</li> <li >Organize and maintain both digital and physical records efficiently.</li> <li >Provide up-to-date information and support to customer-facing teams as needed.</li> <li >Collaborate effectively with colleagues to ensure smooth data flow and operational efficiency.</li> <li >Adhere strictly to established data entry procedures and guidelines.</li> <li >Maintain strict confidentiality and ensure data security at all times.</li> </ul> <h3 >Qualifications and Requirements</h3> <ul > <li >Ability to perform repetitive tasks with consistent focus and accuracy.</li> <li >Strong time management skills and the ability to meet deadlines in a dynamic environment.</li> <li >Previous experience (0-1 years) in data entry, administration, or a related field is preferred but not strictly required.</li> </ul> <h3 >Work Location and Type</h3> <p >This is a <strong >full-time, on-site</strong> position. The successful candidate will be required to work from our facilities located in <strong >Jeddah</strong>, within the Makkah region.</p> <h3 >Application Information</h3> <p >Candidates who meet the above criteria are encouraged to apply. Salary details for this position will be discussed during the interview process.</p>

About the Role<br>We are transforming how data drives decision-making and strategic growth across our business. As our Senior Data Analyst / Visualizer, you will play a pivotal role in shaping our analytics ecosystem. You will own the analytics layer, semantic models, and reporting architecture—bridging technical execution with business strategy. Beyond building high-impact Power BI dashboards and embedded analytics, you will be a driver of data literacy across the organization, empowering executive leaders and cross-functional teams to make data-driven decisions. <br>Key Responsibilities Semantic Modeling & Governance: Own the conformed semantic model with certified business data definitions. Establish shared metrics, standardized naming conventions, dataset certifications, and row-level security (RLS) across the reporting estate. Advanced Data Visualization & Analytics: Design and deliver high-quality Power BI dashboards and analytics tools. Develop embedded reporting views directly inside web application front-ends (e.g., using React). Unified Business Insights: Contribute to our Unified Project View by integrating data across estimation, commercial, planning, design, and operations domains. Data Quality & Management: Establish data quality scorecards (evaluating completeness, accuracy, timeliness, consistency, and uniqueness). Work with business data stewards to route and resolve data issues. Enablement & Literacy: Design and deliver a tiered data literacy program for executives, managers, and power users. Conduct go-live training, hold regular clinics, and coach a federated network of data stewards across key departments. Stakeholder Collaboration: Run requirements workshops with department heads to translate complex business questions into actionable data products. Partner closely with Data Engineers and software developers. Adoption Tracking: Measure and track solution adoption as a key performance indicator (KPI) and continuously optimize based on user feedback. <br>What We Are Looking For<br>Education & Experience Education: Bachelor’s degree in Data Science, Computer Science, or a related quantitative field (Master’s degree is a plus). Experience: 10+ years of proven experience in data analysis, semantic modeling, and visualization. Domain Knowledge: Experience in construction, contracting, interior fit-out, or project-based industries (familiarity with Cost Value Reports, cost code structures, and tender-to-award cycles is highly desirable). <br>Technical Skills & Expertise Microsoft Ecosystem: Deep expertise in Microsoft Fabric (data storage/analysis) and Power BI. Power BI Mastery: Advanced experience in semantic modeling, row-level security (RLS), Direct Lake mode, and deployment pipelines. Languages & Tools: Proficiency in SQL, DAX, Power Query, and Excel. Embedded Analytics: Hands-on experience embedding analytics and charting/data grid components into web application front-ends alongside developers. Version Control & AI Integration: Regular use of Git for version control, and a demonstrated ability to leverage AI tools to accelerate DAX/SQL generation, dashboard development, and documentation. Systems (Desirable): Familiarity with Salesforce, Premier, or Oracle Primavera Cloud. Predictive analytics / Machine Learning understanding is a strong plus. <br>Soft Skills Strong facilitator capable of running workshops and translating non-technical user needs into specs. Passionate educator with a track record of driving data adoption and digital change management. <br>Preferred Certifications Microsoft Certified: Fabric Analytics Engineer Associate (Exam DP-600) Microsoft Certified: Power BI Data Analyst Associate (Exam PL-300) Microsoft Certified: Fabric Data Engineer Associate (Exam DP-700) (Advantageous)

Key Responsibilities Act as a senior technical advisor on AI, machine learning, data science, analytics, and AI-enabled data architecture, providing recommendations to management and project teams. Support SHIB Data & AI workstreams, including review of AI platform, model lifecycle, vector/retrieval, knowledge-layer, data architecture, and related vendor deliverables. Assess emerging AI technologies, architecture patterns, industry practices, and market trends, and translate them into practical recommendations for Sahati. Lead and perform advanced analytics, data science studies, proof-of-concepts, exploratory analysis, statistical modeling, and business problem solving across healthcare and insurance use cases. Contribute to AI use-case design and prioritization, including predictive analytics, anomaly detection, intelligent automation, NLP/LLM use cases, decision support, and advanced reporting. Work with data engineering and platform teams on data readiness, analytical datasets, data pipelines, structured/unstructured data, FHIR/JSON data, and integration requirements needed for analytics and AI. Review data quality, completeness, consistency, and usability issues; support practical remediation and readiness activities for analytics, reporting, and AI workloads. Support executive and regulatory reporting, KPI analysis, analytics products, dashboards, ad-hoc studies, and evidence-based decision support where senior technical input is required. Review technical proposals, solution designs, vendor submissions, architecture documents, and implementation approaches; identify risks, gaps, dependencies, and improvement actions. Develop clear technical and executive-ready outputs, including studies, recommendations, presentations, design notes, decision papers, and implementation guidance. Collaborate across data, analytics, governance, technology, product, cybersecurity, GRC, and business teams to deliver integrated end-to-end outcomes. Mentor analysts and technical resources, share good practices, and help raise the maturity of the broader data and AI capability.<br>Required Experience & Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field; advanced degree is preferred.7–8+ years of relevant experience across AI, data science, advanced analytics, data engineering, or enterprise data platforms, with evidence of independent ownership of complex work. Strong hands-on experience with Python and SQL, and practical experience with machine learning / data science libraries and workflows. Solid understanding of modern AI architecture and delivery practices, including model development, evaluation, deployment concepts, MLOps, LLMs, embeddings, RAG/vector retrieval, and model monitoring. Good understanding of data architecture and engineering foundations, including data warehouses/lakehouse concepts, ETL/ELT, APIs, data modeling, metadata, data quality, and structured/unstructured data. Experience translating business problems into analytical or AI solutions and communicating recommendations to both technical and senior non-technical stakeholders. Ability to independently research unfamiliar topics, evaluate options, challenge assumptions, and produce high-quality recommendations under time pressure.<br>Preferred Experience Healthcare, health insurance, fintech, government, telecom, or other regulated / national-scale platform experience. Exposure to healthcare interoperability and transaction data such as FHIR/JSON, claims, eligibility, prior authorization, provider/payer data, or similar complex data domains. Experience with enterprise BI and analytics platforms such as Power BI, Oracle BI, Tableau, Qlik, or equivalent, with an understanding of KPI and reporting environments. Experience reviewing vendor architecture, consulting deliverables, technical specifications, or large transformation programs. Familiarity with Saudi data, privacy, AI governance, or regulatory expectations is an advantage.

CHI SIAMOAGAP2 è un gruppo europeo di consulenza ingegneristica e operativa facente parte del Gruppo MoOngy. Presente in 14 paesi europei con oltre 7.500 dipendenti, abbiamo aperto la prima sede italiana a Milano e, vista la continua crescita, stiamo rafforzando e ampliando il nostro team con persone che condividano gli stessi valori della nostra società: AMBIZIONE, SORRISO, DINAMISMO, VOGLIA DI METTERSI IN GIOCO, il tutto in una realtà in continua evoluzione, nella quale le relazioni umane sono sempre al primo posto.<br>IL TUO RUOLOWe are looking for an experienced Data & Integration Architect to join a major technology transformation programme supporting EXPO 2030 in Riyadh. The successful candidate will be responsible for shaping the target data architecture and defining the integration approach across a complex and highly interconnected digital ecosystem.<br>Responsabilità principali Define the target data architecture for EXPO 2030, including data catalogues, data models, and enterprise/business capability alignment. Design data and advanced analytics technology components and ensure alignment with the overall enterprise architecture. Define integration strategies and architecture patterns enabling seamless data exchange across:Enterprise applications Operational platforms Intelligent Command Centres Smart Operations environments IoT ecosystems Establish data standards, APIs, architecture patterns, governance frameworks, and integration principles. Ensure data platforms and integration mechanisms provide secure, trusted, consistent, and reliable data availability. Support real-time data processing, predictive analytics, and enterprise-wide data visibility. Evaluate and leverage emerging technologies, including AI, advanced analytics, IoT, and intelligent operations platforms. Collaborate with business, technology, data, and operational stakeholders to translate strategic requirements into scalable architecture solutions.<br>Competenze tecniche richieste Strong experience as a Data Architect, Integration Architect, or Data & Integration Architect. Proven experience designing enterprise-scale data and integration architectures. Strong knowledge of data modelling, data governance, APIs, integration patterns, and data platforms. Experience with complex enterprise ecosystems and cross-platform integration. Good understanding of AI, advanced analytics, IoT, and real-time data environments. Excellent stakeholder management and communication skills. Strong English communication skills. Willingness to work on-site in Riyadh, Saudi Arabia. Previous experience on major international programmes or events such as EXPO, Olympics, FIFA, COP, or similar large-scale events is highly desirable.<br>Opportunity to work on a high-profile international programme supporting EXPO 2030. Exposure to a complex, large-scale digital transformation environment. International and multicultural working environment. Senior-level role with significant architectural responsibility.<br>La retribuzione annua lorda per questo ruolo è compresa tra 50.000 EUR e 70.000 EUR. Il posizionamento all'interno del range sarà definito in base alle competenze tecniche, all'esperienza specifica nel ruolo e agli esiti del processo di selezione, secondo criteri oggettivi e predefiniti. In presenza di profili con caratteristiche eccezionali rispetto al range indicato, una revisione potrà essere valutata previa approvazione interna.<br>The world needs you AGAP2 è un equal opportunities employer: crediamo che tutte le forme di diversità siano fonte di arricchimento reciproco. Ci impegniamo a garantire un ambiente di lavoro inclusivo, nel quale ogni singola risorsa possa apportare un valore unico alla nostra realtà. Pertanto, accogliamo candidature senza distinzione di età, genere, nazionalità, disabilità, orientamento sessuale, religione o stato civile. Inoltre, teniamo fede ai nostri impegni prestando attenzione alle risorse appartenenti alle categorie protette ai sensi degli articoli 1 e 18 della Legge 68/99.<br>I dati personali saranno trattati in conformità alle disposizioni contenute nel regolamento UE 2016/679.

Job Description<br><br>Job Purpose<br><br>To operate and support data center infrastructure by ensuring availability, security, and optimal performance of physical and virtual environments that enable Panda Retail Company’s digital and business operations<br><br>Job Responsibility:<br><br>Operate data center facilities, servers, storage, and network equipment to ensure continuous system availability. Monitor data center environmental conditions including power, cooling, and alarms to maintain safe operating environments. Perform installation, configuration, and replacement of data center hardware to support infrastructure reliability. Troubleshoot infrastructure incidents and hardware failures to restore services and minimize downtime. Execute approved maintenance activities, upgrades, and patches to maintain performance and security standards. Apply access control, safety, and security procedures within data center facilities to protect assets and data. Document infrastructure configurations, changes, and incidents to maintain accurate operational records. Coordinate with vendors and internal teams during maintenance and incidents to ensure timely issue resolution. Support capacity monitoring and infrastructure improvement initiatives by providing operational insights and recommendations. <br><br>Skills Description<br><br>Education :<br><br>Bachelor's degree in computer science, information technology, or a related field<br><br>Qualifications<br><br> Proven experience in data center operations and management Strong knowledge of data center technologies and best practices Excellent troubleshooting and problem-solving skills Excellent communication and interpersonal abilities Strong understanding of server hardware and software Knowledge of networking and storage systems Experience in troubleshooting and problem-solving in data center environments Ability to optimize data center performance and efficiency Proficiency in data center security and disaster recovery protocols Strong communication and teamwork skills Ability to handle and prioritize multiple tasks in a fast-paced environment

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist, Senior-Level based in Saudi Arabia.<br><br>This is a senior-level opportunity for a data and AI professional who wants to influence enterprise-wide transformation initiatives.<br><br>You will help shape modern data ecosystems and develop intelligent, agentic AI solutions from strategy through end-to-end delivery.<br><br>The role combines hands-on data science expertise with product ownership, technical architecture, governance, and client advisory responsibilities.<br><br>You will translate complex business needs into structured backlogs, roadmaps, and scalable Data & AI solutions.<br><br>Your work will focus on building modular, reusable capabilities that can operate effectively across sophisticated enterprise environments.<br><br>You will collaborate with technical and business stakeholders, lead high-level discussions, and provide trusted guidance on emerging AI opportunities.<br><br>This position is ideal for an experienced professional who combines strong analytical foundations with strategic thinking, technical leadership, and a passion for innovation.<br><br>Accountabilities<br><br>Design, build, and orchestrate agentic AI workflows, generative AI applications, LLM-based solutions, and intelligent autonomous systems. Translate business objectives and user needs into structured product backlogs, user stories, technical requirements, and execution roadmaps. Take ownership of Data & AI initiatives from strategic definition through architecture, development, implementation, and delivery. Design modular, scalable, and reusable Data and AI components that can be applied across complex enterprise environments. Apply strong data stewardship practices covering data quality, lifecycle management, privacy, governance, security, and production readiness. Bridge business and technical requirements by collaborating closely with stakeholders, project managers, engineers, data professionals, and other cross-functional teams. Act as a trusted technical advisor, leading demonstrations, architecture discussions, technical workshops, and high-level stakeholder conversations. Identify opportunities to improve enterprise data ecosystems and accelerate the adoption and scaling of advanced AI capabilities. Provide technical leadership throughout delivery, helping teams make sound architectural and implementation decisions. Communicate complex Data & AI concepts clearly to diverse, multicultural stakeholders and help align technical solutions with strategic business outcomes.<br><br>Requirements<br><br>5+ years of professional experience in Data Science, Machine Learning, AI Architecture, or a closely related field. Strong foundations in statistics, mathematics, machine learning, and modern cloud-native data platforms. Proven experience designing, building, or orchestrating agentic AI systems, generative AI solutions, LLM applications, or intelligent autonomous workflows. Strong product ownership mindset, with the ability to translate business requirements into product backlogs, user stories, priorities, and actionable roadmaps. Deep understanding of data quality, data lifecycle management, privacy, governance, and data stewardship practices. Ability to architect modular, scalable, reusable Data & AI components across complex enterprise technology environments. Strong technical leadership and client-facing advisory skills, including experience leading demonstrations, technical discussions, and stakeholder engagements. Excellent problem-solving and analytical capabilities, with the ability to connect technical decisions to business objectives. Strong communication and collaboration skills, particularly when working with cross-functional and multicultural teams. Fluent English at B2 level or higher, with the confidence to communicate, influence, and collaborate with global stakeholders. Ability to work independently while taking ownership of complex initiatives and contributing effectively within multidisciplinary teams. Passion for emerging AI technologies, enterprise transformation, continuous innovation, and building production-ready solutions.<br><br>Benefits<br><br>Work Flexibility: Remote work opportunity. Professional Impact: Contribute to large-scale Data & AI transformation initiatives and help shape intelligent enterprise solutions. Technical Innovation: Work with generative AI, agentic systems, LLM applications, cloud-native data platforms, and modern AI architectures. Leadership Opportunities: Serve as a technical advisor and influence architecture, product direction, and strategic technology decisions. Global Collaboration: Work with diverse, multicultural stakeholders across complex enterprise environments. Career Growth: Expand expertise across data science, AI architecture, product ownership, governance, and enterprise transformation. Strategic Exposure: Gain experience connecting business strategy with scalable technical solutions and end-to-end AI delivery.<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 Purpose:<br>The Project Manager – Data & Analytics is responsible for leading the successful delivery of data modernization, data engineering, analytics, and reporting initiatives across enterprise environments. The role ensures projects are delivered on time, within budget, and according to quality standards while managing scope, resources, risks, stakeholders, and regulatory requirements. The Project Manager acts as the primary coordination point between business stakeholders, technical teams, vendors, and project sponsors to drive successful execution of data and analytics transformation programs.<br>Key Accountabilities:<br>Lead end-to-end delivery of data platform, data engineering, data warehousing, and analytics projects. Develop and manage project plans, schedules, work breakdown structures, resource plans, and project budgets. Manage project scope, timelines, risks, issues, dependencies, and change requests throughout the project lifecycle. Coordinate cross-functional teams including data engineers, data architects, platform administrators, business analysts, QA teams, and vendors. Facilitate project governance meetings, steering committees, status reviews, and stakeholder communications. Apply Agile, Scrum, Waterfall, or hybrid delivery methodologies based on project requirements. Track project progress against milestones, KPIs, deliverables, and financial targets. Ensure delivery aligns with business objectives, architecture standards, security policies, and governance frameworks. Support vendor management activities, including contract deliverables, escalations, and performance monitoring. Monitor project risks and develop mitigation and contingency plans. Ensure compliance with regulatory and industry requirements, including data governance and banking regulations. Drive issue resolution and escalation management across multiple workstreams. Prepare project reports, dashboards, executive presentations, and status updates for leadership and clients. Support continuous improvement initiatives to enhance delivery effectiveness, project governance, and operational efficiency.<br>Minimum Qualifications:<br>Bachelor's Degree in Computer Science, Information Systems, Project Management, or a related field. PMP, PRINCE2, or equivalent Project Management certification. Agile, Scrum Master, or SAFe certifications.<br>Minimum Experience:<br>+7 years of project management experience. Proven experience managing data platform, data engineering, analytics, business intelligence, or digital transformation projects. Experience managing multiple concurrent projects and cross-functional delivery teams.<br>Job-Specific Skills:<br>Project Management Methodologies (Agile, Scrum, Waterfall, Hybrid). Project Planning and Scheduling. Budget Management and Financial Tracking. Resource Planning and Allocation. Risk, Issue, and Change Management. Stakeholder and Vendor Management. PMO Governance and Reporting. Microsoft Project, Jira, and Confluence. Data Warehousing and Lakehouse Concepts. Data Engineering and ETL/ELT Processes. Business Intelligence and Analytics Platforms. Data Governance and Data Management Frameworks. Banking and Regulatory Compliance Awareness (SAMA and related standards).

Company Description MUBEEN is an AI-driven fraud prevention intelligence ecosystem built for the MENA region, helping digital businesses detect and prevent fraud in real time. By combining advanced AI technologies with deep regional expertise and expert-led services, MUBEEN enables organizations to protect revenue and reduce operational and financial risk.<br>As MUBEEN continues to grow and expand its capabilities across the region, we are growing our team alongside it. We are looking for talented, driven people who want to help us build the next generation of fraud prevention solutions and contribute to our mission of creating lasting digital trust across MENA.<br>Our platform offers integrated, data-focused solutions that support secure digital growth and enable companies to respond quickly to evolving fraud threats. As we scale, we are building a team capable of delivering reliable, scalable, and intelligent fraud prevention capabilities to businesses across the region.<br>Role Description The Senior Data Scientist at MUBEEN will design, build, and maintain machine learning models and analytical frameworks that power real-time fraud detection across digital channels. In this full-time remote role, the individual will work closely with product, engineering, and fraud operations teams to analyze large-scale data, identify emerging fraud patterns, and translate insights into robust, production-ready solutions. Daily responsibilities include exploratory data analysis, model development and evaluation, feature engineering, experimentation, and performance monitoring of deployed models. The Senior Data Scientist will also contribute to data strategy, mentor other team members, and help define best practices for rigorous experimentation, model governance, and responsible AI within the fraud prevention ecosystem. Qualifications Strong skills in Data Science and Statistics, including experience with machine learning algorithms, hypothesis testing, and model evaluation. Proficiency in Data Analytics and Data Analysis for large, complex datasets, with the ability to uncover patterns, trends, and actionable insights. Experience in Data Visualization, using modern visualization tools or libraries to communicate findings clearly to technical and non-technical stakeholders. Advanced programming skills in Python or R, with hands-on experience in ML frameworks (e.g., scikit-learn, Tensor Flow, PyTorch) and SQL for data manipulation. Background in building and deploying models in production environments, ideally within fraud detection, risk scoring, or financial services. Familiarity with cloud-based data platforms and MLOps practices (e.g., CI/CD for models, monitoring, versioning, and model lifecycle management). Ability to collaborate effectively in remote, cross-functional teams and to communicate complex concepts in a clear, structured manner. Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science, Engineering) or equivalent practical experience. Experience working with data from the MENA region or in fraud prevention, cybersecurity, or fintech is a strong plus.

<h3 >About the Role</h3> <p >FNRCO is seeking a Data &amp; AI Platform Section Head to lead the engineering, delivery, and operational management of enterprise data and AI platforms. This full-time role is based in Makkah, specifically covering Jeddah and Makkah, and is crucial for enabling analytics, AI, and enterprise reporting. The successful candidate will ensure platforms are scalable, reliable, secure, and aligned with enterprise digital priorities.</p> <h3 >Role Purpose and Context</h3> <p >The primary purpose of this role is to oversee the entire lifecycle of data and AI platforms, from strategy and engineering to operations and continuous improvement. This position involves providing consistent reporting and updates to the Enterprise Platform, Apps &amp; Analytics Manager, ensuring all platform activities support critical business functions and digital transformation initiatives.</p> <h3 >Key Responsibilities</h3> <ul > <li >Translate enterprise data and AI strategies into actionable engineering roadmaps and platform enablement plans.</li> <li >Lead engineering, deployment, and operational support for data and AI platforms, ensuring reliability, performance, and scalability.</li> <li >Oversee platform provisioning, monitoring, and optimization to enable business-critical analytics and AI workloads.</li> <li >Ensure platforms meet enterprise standards for security, resilience, and performance.</li> <li >Enable advanced analytics, AI, and reporting capabilities by ensuring data platforms provide high-quality, reliable, and accessible data.</li> <li >Support business teams and data scientists with platforms, tools, and environments to accelerate AI model development and adoption.</li> <li >Ensure seamless integration of data across applications, platforms, and enterprise systems.</li> <li >Oversee API/middleware support for data ingestion, transformation, and distribution across systems.</li> <li >Provide regular updates to the Enterprise Platform, Apps &amp; Analytics Manager on roadmap execution, risks, and modernization priorities.</li> <li >Maintain accurate documentation for platform configurations, integrations, and operations to support compliance and audit readiness.</li> <li >Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures.</li> <li >Actively participate in on-the-job training, mentoring, and coaching of subordinates.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >A minimum of 5 to 10 years of relevant experience in data and AI platform engineering and management.</li> <li >Demonstrated ability to translate enterprise strategies into actionable technical roadmaps.</li> <li >Experience in leading engineering, deployment, and operational support for complex data and AI platforms.</li> <li >Proficiency in ensuring platforms meet enterprise standards for security, resilience, and performance.</li> </ul> <h3 >Skills and Competencies</h3> <ul > <li >Strong leadership skills with the ability to provide clear direction and prioritize tasks.</li> <li >Ability to foster a high-performance working environment.</li> <li >Excellent communication skills for reporting and stakeholder engagement.</li> <li >Commitment to continuous improvement and embedding automation.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Makkah, with responsibilities extending to Jeddah. The role involves working within a dynamic environment focused on advancing enterprise data and AI capabilities, requiring collaboration with various business and technical teams.</p>

<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>

<h3 >About Salla and the Senior Product Data Analyst Role</h3> <p >Salla is seeking a <strong >Senior Product Data Analyst</strong> to join its team in Jiddah, Makkah, Saudi Arabia. This full-time role is central to influencing how Salla develops and enhances its products through data-driven insights. The analyst will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance into actionable decisions.</p> <h3 >Role Purpose and Strategic Context</h3> <p >The Senior Product Data Analyst will assume end-to-end ownership of analytics for a specific product area. This includes defining success metrics, developing measurement plans, analyzing experiments, monitoring product launches, and recommending subsequent steps. Salla's products are complex and operate at scale, often presenting challenges without predefined solutions. The role requires the ability to quickly understand new domains, synthesize information from incomplete inputs, and determine the appropriate level of analysis for timely decision-making. Success in this position depends on making informed judgments with incomplete information while maintaining analytical rigor and moving with agility.</p> <h3 >Key Responsibilities</h3> <ul > <li >Partner with product teams to convert questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.</li> <li >Manage analytics across critical product journeys, encompassing funnels, feature adoption, engagement, conversion, retention, and segmentation.</li> <li >Conduct in-depth analyses to diagnose performance shifts, identify root causes, and propose product enhancement opportunities.</li> <li >Design and analyze A/B tests and impact evaluations, including metric selection, guardrails, validation checks, and decision recommendations.</li> <li >Develop and validate tracking plans for new features.</li> <li >Measure product launches and create dashboards and self-serve tools for continuous product health monitoring.</li> <li >Clearly communicate findings, business impact, and trade-offs, while contributing to team best practices and mentoring junior analysts.</li> </ul> <h3 >Required Experience and Qualifications</h3> <ul > <li >A minimum of <strong >4 years of experience</strong> in product analytics, data analytics, or a similar role within a technology or digital-product environment.</li> <li >Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.</li> <li >Practical experience with product experiments and a solid grasp 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 >Technical Skills and Core Competencies</h3> <ul > <li >Advanced SQL proficiency and experience working with large, intricate datasets.</li> <li >Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau, complemented by a working knowledge of Python or R.</li> <li >Demonstrated product judgment and the capability to manage analytical work autonomously in ambiguous situations.</li> <li >Excellent communication and stakeholder-management skills, with a proven ability to influence product decisions through data insights.</li> </ul> <h3 >Application Process</h3> <p >Candidates who meet the specified qualifications are encouraged to apply.</p>

Saudi's Only<br>Data & AI Platform Section Head<br>Role Purpose Lead the engineering, delivery, and operational management of enterprise data and AI platforms to enable analytics, AI, and enterprise reporting ,Ensure platforms are scalable, reliable, secure, and aligned with enterprise digital priorities, while providing consistent reporting and updates to the Enterprise Platform, Apps & Analytics Manager.<br>Responsibilities:Data & AI Platform Strategy & Roadmap Execution Translate enterprise data and AI strategies into actionable engineering roadmaps and platform enablement plans. Ensure platforms support analytics, AI, and enterprise data needs in line with business and digital priorities. Platform Engineering & Operations Oversight Lead engineering, deployment, and operational support for data and AI platforms, ensuring reliability, performance, and scalability. Oversee platform provisioning, monitoring, and optimization to enable business critical analytics and AI workloads. Ensure platforms meet enterprise standards for security, resilience, and performance. AI/Analytics Enablement & Adoption Enable advanced analytics, AI, and reporting capabilities by ensuring data platforms provide high-quality, reliable, and accessible data. Support business teams and data scientists with platforms, tools, and environments to accelerate AI model development and adoption. Partner with analytics teams to optimize platform usage and measure adoption effectiveness. Integration & Data Flow Management Ensure seamless integration of data across applications, platforms, and enterprise systems. Oversee API/middleware support for data ingestion, transformation, and distribution across systems. Maintain high data availability, integrity, and flow across the data & AI landscape. Reporting & Continuous Improvement Provide regular updates to the Enterprise Platform, Apps & Analytics Manager on roadmap execution, risks, and modernization priorities. Apply enterprise standards and best practices for platform engineering, monitoring, and maintenance. Maintain accurate documentation for platform configurations, integrations, and operations to support compliance and audit readiness. Capture lessons learned, embed automation, and continuously improve data and AI platform maturity. Policies, Processes and Procedures Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement People Management Actively participate in on-the-job training, mentoring and coaching of subordinates Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow Promote a high-performance working environment embracing Company’s values<br>QUALIFICATIONS / REQUIREMENTSMinimum 6 years of experience in a related field or equivalent is required. A bachelor’s degree in Engineering, Computer Science, Information Technology (IT), or equivalent is required. Preferred Certifications: DAMA International – Certified Data Management Professional (CDMP), TOGAF for enterprise architecture alignment and Agile certifications such as Scrum Master, PMI-ACP, or SAFe , Cloud & Platform Certifications such as Google Cloud – Professional Cloud Architect, Amazon Web Services – Solutions Architect Professional, Databricks – Data Engineer Professional.<br>Also, You can forward your CV through below link for more upcoming Job vacancies: https://cv-fnrco.

Riyadh Holding Company is a leading Saudi company with over four decades of experience in designing, developing, and operating integrated, sustainable urban ecosystems. The company delivers innovative real estate solutions for public-benefit projects across the Riyadh region, creating long-term value for communities and stakeholders.<br>Driven by a commitment to enhancing quality of life and enabling thriving cities, Riyadh Holding focuses on service-oriented developments, the activation of public spaces and parks, and the advancement of logistics and mobility solutions, contributing to sustainable urban growth and the objectives of Saudi Vision 2030.<br>We are currently seeking an experienced Data Analysis Director to joining King Abdullah Gardens Lead and runs enterprise data-analytics capability from the ground up — architecting the data lake, ETL, BI and model-deployment stack as the single trusted source of truth for the organization. Builds the C-Suite and Board dashboards covering programme KPIs, financial performance, risk indicators (KRIs) and counterparty performance; embeds AI, machine-learning and automation across the programme; and owns data governance and data-security governance to NDMO / NCA requirements. Gives the CEO, Board and GRC oversight a single, reliable evidence base across all four strategic pillars — Destination Experience, Botanical Excellence, Financial Viability, and Efficient Delivery & Operations.<br>1. Key Responsibilities<br>Establish and scale the enterprise analytics function, including platform architecture, technology stack, operating model, governance framework, talent strategy, and vendor ecosystem, aligned with Board priorities and organizational objectives. Architect and govern the enterprise data lake, ETL ecosystem, BI platforms, and model-deployment environment as a unified and trusted data foundation, integrating information from all delivery and operating counterparties. Deliver executive-grade analytics and reporting that provide the CEO, C-Suite, and Board with timely, accurate, and actionable visibility into programme performance, financial health, strategic objectives, risk exposure, and counterparty outcomes. Define and institutionalize enterprise KPI and KRI frameworks, ensuring consistent reporting standards and decision-making transparency across the organization. Design, implement, and continuously enhance the enterprise risk analytics capability, including risk registers, key risk indicators, predictive risk models, and scenario analysis, in partnership with risk leadership. Enable near real-time monitoring of contractual KPIs and SLAs across all counterparties to strengthen compliance, accountability, performance management, and early risk detection. Build advanced analytics capabilities across ticketing, visitation, CAFM (Maximo), and operational platforms to optimize revenue performance, customer experience, asset reliability, service delivery, and predictive maintenance outcomes. Accelerate organizational efficiency and innovation through the deployment of AI, machine learning, and intelligent automation solutions that reduce manual effort and improve business performance. Champion enterprise-wide data governance, ensuring clear ownership, quality standards, classification frameworks, lifecycle management, and regulatory compliance in alignment with NDMO, NCA, and PDPL requirements.<br>2. Qualifications & Experience:<br>Education: Bachelor’s in information systems, Computer Science, Engineering, Applied Mathematics or a related field; Master's preferred. Experience: +8 years in enterprise analytics, business intelligence, data engineering or advanced analytics, ideally in regulated or large capital-programme organizations. Technical: Deep command of Python and Power BI hands-on data-lake (Azure / AWS), ETL and SQL / data-warehousing experience; working knowledge of AI/ML frameworks. Languages: Fluent English; Arabic an advantage.

Role Purpose Lead the engineering, delivery, and operational management of SANS enterprise data and AI platforms to enable analytics, AI, and enterprise reporting ,Ensure platforms are scalable, reliable, secure, and aligned with enterprise digital priorities, while providing consistent reporting and updates to the Enterprise Platform, Apps & Analytics Manager.<br>KEY ACCOUNTABILITIES & ACTIVITIES<br>Data & AI Platform Strategy & Roadmap Execution Translate enterprise data and AI strategies into actionable engineering roadmaps and platform enablement plans. Ensure platforms support analytics, AI, and enterprise data needs in line with business and digital priorities. Platform Engineering & Operations Oversight Lead engineering, deployment, and operational support for data and AI platforms, ensuring reliability, performance, and scalability. Oversee platform provisioning, monitoring, and optimization to enable business critical analytics and AI workloads. Ensure platforms meet enterprise standards for security, resilience, and performance. AI/Analytics Enablement & Adoption Enable advanced analytics, AI, and reporting capabilities by ensuring data platforms provide high-quality, reliable, and accessible data. Support business teams and data scientists with platforms, tools, and environments to accelerate AI model development and adoption. Partner with analytics teams to optimize platform usage and measure adoption effectiveness. Integration & Data Flow Management Ensure seamless integration of data across applications, platforms, and enterprise systems. Oversee API/middleware support for data ingestion, transformation, and distribution across systems. Maintain high data availability, integrity, and flow across the data & AI landscape. Reporting & Continuous Improvement Provide regular updates to the Enterprise Platform, Apps & Analytics Manager on roadmap execution, risks, and modernization priorities. Apply enterprise standards and best practices for platform engineering, monitoring, and maintenance. Maintain accurate documentation for platform configurations, integrations, and operations to support compliance and audit readiness. Capture lessons learned, embed automation, and continuously improve data and AI platform maturity. Policies, Processes and Procedures Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement People Management Actively participate in on-the-job training, mentoring and coaching of subordinates Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow Promote a high-performance working environment embracing SANS’s values<br><br>QUALIFICATIONS / REQUIREMENTSKnowledge and Experience Minimum 6 years of experience in a related field or equivalent is required. Education and Certifications A bachelor’s degree in Engineering, Computer Science, Information Technology (IT), or equivalent is required. Preferred Certifications: DAMA International – Certified Data Management Professional (CDMP), TOGAF for enterprise architecture alignment and Agile certifications such as Scrum Master, PMI-ACP, or SAFe , Cloud & Platform Certifications such as Google Cloud – Professional Cloud Architect, Amazon Web Services – Solutions Architect Professional, Databricks – Data Engineer Professional.

<p>Basic Clerical work</p><p><strong>Responsibilities</strong></p><ul><li><p>Simple data entry</p></li><li><p>Copying and entering information</p></li><li><p>Organizing basic files and documents</p></li><li><p>Checking information for errors</p></li><li><p>Sending simple emails when required</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>No existing contract with QIWA</p><p>Must be registered with MHSD registry for disability </p><p>Must be Saudi National </p><p>Basic Computer Skills</p><br>

<h3 >About Agoda</h3> <p >Agoda is a global travel platform, part of Booking Holdings [NASDAQ: BKNG], connecting people to destinations and experiences worldwide. Established in 2005, the company operates with a diverse team of over 7,000 individuals across 90 countries. Data and technology are central to Agoda's culture, driving innovation in its operations.</p> <h3 >The Supply Analytics Team</h3> <p >The Supply Analytics team provides data-driven insights and decision support to optimize Agoda’s supply ecosystem. This involves analyzing partner and marketplace dynamics, developing forecasts and models, conducting experiments, and creating scalable dashboards and data products. The team's work directly contributes to improving inventory quality, partner economics, and Agoda's long-term growth.</p> <h3 >The Opportunity for a Senior Analyst</h3> <p >Agoda is seeking a <strong >Senior Analyst</strong> for its Supply Analytics team. This full-time, individual contributor role is based in Bangkok, with relocation assistance provided. The Senior Analyst will report to either a Senior Manager or Associate Director within the Supply Department and will be empowered to work directly with partners on the ground, supported by the Supply team and collaborating with other teams across Agoda.</p> <h3 >Key Responsibilities</h3> <ul > <li >Translate internal briefs into analytical projects, including refining initial requirements, developing hypotheses, and storyboarding outputs.</li> <li >Utilize and analyze data from large-scale data warehouses to present statistically robust analyses to various business stakeholders.</li> <li >Proactively identify growth opportunities within the supply domain and the broader business.</li> <li >Drive new analytical initiatives and projects focused on enhancing organizational efficiency and shaping Agoda's supply strategy.</li> <li >Identify, support, and lead projects aimed at scaling the Supply organization's leverage of data, insights, and intelligence.</li> <li >Automate manual operational processes and report on time savings achieved through business modernization efforts.</li> </ul> <h3 >Required Qualifications and Skills</h3> <ul > <li >A solid understanding of statistical modeling or machine learning techniques (*, hypothesis testing, regression, logistic regression, random forest).</li> <li >Demonstrated experience in stakeholder management, with comfort presenting to senior leadership and C-suite executives.</li> <li >Experience in conducting A/B testing experimentation.</li> <li >Strong experience in extracting data insights and providing actionable business recommendations.</li> <li >A "hacker’s mindset," characterized by the ability to develop simple, clever, and elegant solutions to new problems under resource, operational, and time constraints. This requires a deep understanding of the business, creative problem-solving, and expertise in data, analytics, automation, programming, and prototyping.</li> <li >Excellent communication skills, both written and verbal, including strong presentation and interpersonal abilities.</li> <li >A data-driven approach to both decision-making and performance measurement.</li> <li >Comfort and adaptability in ambiguous, fast-paced environments.</li> <li >Ability to manage multiple tasks, prioritize effectively, and coordinate resources.</li> </ul> <h3 >Preferred Qualifications</h3> <ul > <li >Program management certifications (*, PMI, PRINCE2) complementing program management experience.</li> <li >Experience within the Asian market.</li> <li >Background in the travel industry, e-commerce, technology, or consulting.</li> </ul>

Senior Data Science Consultant – Cards Marketing Analytics???? Location: Jeddah, Saudi Arabia ???? Work Mode: Onsite (Client Office) ???? Contract Duration: 12 Months (Renewable) ???? ???? Experience: 7+ Years<br>LOOKING FOR IMMEDIATE JOINERS<br>About the Role We are looking for an experienced Senior Data Science Consultant with a strong background in banking analytics, particularly in credit and debit card portfolios. The ideal candidate will leverage advanced analytics and machine learning to drive customer acquisition, engagement, retention, and portfolio growth while working closely with business stakeholders in a client-facing consulting environment. Key Responsibilities Develop predictive models to identify customer targeting opportunities, increase card spend, improve customer retention, and reduce churn. Design customer segmentation strategies for credit and debit card portfolios to support lifecycle marketing, personalization, and campaign optimization. Analyze marketing campaign performance across customer segments, products, channels, and behavioral patterns, providing actionable business insights. Design and execute test-and-learn frameworks, including A/B testing, control groups, campaign measurement methodologies, and post-campaign evaluations. Build scalable analytical models and dashboards to support data-driven business decisions. Collaborate with business, marketing, product, and technology teams to translate analytical findings into practical business solutions. Present analytical insights and recommendations to senior stakeholders through clear reports, presentations, and visualizations. Ensure analytical models are explainable, validated, and aligned with business objectives. Required Skills & Experience7+ years of experience in Data Science, Advanced Analytics, or Analytics Consulting. Strong domain expertise in the banking industry, with hands-on experience in credit card and debit card analytics. Proven experience in:Marketing Analytics Predictive Modeling Customer Segmentation Campaign Analytics Portfolio Analytics Customer Behavior Analytics Advanced proficiency in Python, SAS, and SQL. Experience working with large-scale banking datasets, including:Customer Profiles Card Transaction Data Campaign Performance Data Customer Behavioral Data Strong understanding of:Statistical Modeling Machine Learning Algorithms Model Validation Performance Monitoring Excellent communication and stakeholder management skills with the ability to present analytical findings to senior business leaders. Experience collaborating with cross-functional teams including Marketing, Product, Risk, and Data Management. Strong consulting mindset with excellent problem-solving skills, ownership, and commitment to timely delivery. Comfortable working in a client-facing consulting role on-site in Saudi Arabia. Preferred Qualifications Currently based in Saudi Arabia (Jeddah preferred). Prior experience in the Saudi Arabian or GCC banking sector. Hands-on experience with card lifecycle analytics, including:Customer Acquisition Card Activation Spend Growth Customer Engagement Retention Attrition Analysis Experience with CRM platforms, campaign management systems, and marketing automation tools. Knowledge of advanced marketing analytics techniques such as:A/B Testing Uplift Modeling Next Best Action (NBA) Offer Optimization Customer Lifetime Value (CLV) Modeling Exposure to cloud-based data platforms and modern analytics ecosystems<br>Interested candidates can share cv at simmi@hiresquad.in

Senior Data Science Consultant – Cards Marketing Analytics???? Location: Jeddah, Saudi Arabia ???? Work Mode: Onsite (Client Office) ???? Contract Duration: 12 Months (Renewable) ???? ???? Experience: 7+ Years<br>LOOKING FOR IMMEDIATE JOINERS<br>About the Role We are looking for an experienced Senior Data Science Consultant with a strong background in banking analytics, particularly in credit and debit card portfolios. The ideal candidate will leverage advanced analytics and machine learning to drive customer acquisition, engagement, retention, and portfolio growth while working closely with business stakeholders in a client-facing consulting environment. Key Responsibilities Develop predictive models to identify customer targeting opportunities, increase card spend, improve customer retention, and reduce churn. Design customer segmentation strategies for credit and debit card portfolios to support lifecycle marketing, personalization, and campaign optimization. Analyze marketing campaign performance across customer segments, products, channels, and behavioral patterns, providing actionable business insights. Design and execute test-and-learn frameworks, including A/B testing, control groups, campaign measurement methodologies, and post-campaign evaluations. Build scalable analytical models and dashboards to support data-driven business decisions. Collaborate with business, marketing, product, and technology teams to translate analytical findings into practical business solutions. Present analytical insights and recommendations to senior stakeholders through clear reports, presentations, and visualizations. Ensure analytical models are explainable, validated, and aligned with business objectives. Required Skills & Experience7+ years of experience in Data Science, Advanced Analytics, or Analytics Consulting. Strong domain expertise in the banking industry, with hands-on experience in credit card and debit card analytics. Proven experience in:Marketing Analytics Predictive Modeling Customer Segmentation Campaign Analytics Portfolio Analytics Customer Behavior Analytics Advanced proficiency in Python, SAS, and SQL. Experience working with large-scale banking datasets, including:Customer Profiles Card Transaction Data Campaign Performance Data Customer Behavioral Data Strong understanding of:Statistical Modeling Machine Learning Algorithms Model Validation Performance Monitoring Excellent communication and stakeholder management skills with the ability to present analytical findings to senior business leaders. Experience collaborating with cross-functional teams including Marketing, Product, Risk, and Data Management. Strong consulting mindset with excellent problem-solving skills, ownership, and commitment to timely delivery. Comfortable working in a client-facing consulting role on-site in Saudi Arabia. Preferred Qualifications Currently based in Saudi Arabia (Jeddah preferred). Prior experience in the Saudi Arabian or GCC banking sector. Hands-on experience with card lifecycle analytics, including:Customer Acquisition Card Activation Spend Growth Customer Engagement Retention Attrition Analysis Experience with CRM platforms, campaign management systems, and marketing automation tools. Knowledge of advanced marketing analytics techniques such as:A/B Testing Uplift Modeling Next Best Action (NBA) Offer Optimization Customer Lifetime Value (CLV) Modeling Exposure to cloud-based data platforms and modern analytics ecosystems<br>Interested candidates can share cv at simmi@hiresquad.in