Data Entry Jobs in Saudi

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Visualization Specialist (Part-Time) based in Saudi Arabia.<br><br>This role sits at the intersection of data, product strategy, and user impact within a globally distributed, mission-driven environment. The Data Visualization Specialist will transform complex datasets into clear, actionable insights that guide product evolution and commercial decision-making. You will play a key role in shaping dashboards and analytical tools that support leadership in understanding user behavior and product performance. Working closely with product stakeholders, you will help define metrics, track engagement trends, and identify opportunities for improvement. The role requires both technical depth and strong communication skills to translate data into meaningful narratives. It offers the opportunity to directly influence decisions that improve digital services used across multiple markets and contexts.<br><br>Accountabilities<br><br>Design and develop intuitive dashboards and data visualizations that communicate key performance metrics and trends clearly using tools such as Google Data Studio. Ensure data accuracy and reliability by identifying, troubleshooting, and resolving inconsistencies or technical issues in datasets and reporting pipelines. Collaborate with product leadership to build executive-level dashboards that support roadmap planning and commercial strategy decisions. Perform in-depth data analysis to evaluate product performance across different regions, identifying trends, patterns, and actionable insights. Conduct funnel and churn analysis to map user journeys, uncover friction points, and recommend improvements to increase engagement and retention. Translate complex analytical findings into clear, story-driven insights for leadership, partners, and stakeholders. Contribute to defining product metrics and establishing a consistent measurement framework across teams.<br><br>Requirements<br><br>3-5 years of experience in data analysis, data visualization, or a related analytical role. Strong proficiency in SQL for querying and manipulating large datasets. Hands-on experience with dashboarding tools such as Google Data Studio or similar platforms. Advanced Excel skills for analysis, reporting, and data modeling. Strong problem-solving abilities with experience debugging data issues and explaining technical concepts clearly. Ability to work independently and collaborate effectively in remote, cross-functional, global teams. Familiarity with data warehouse environments such as Big Query, Snowflake, or Redshift is a plus. Degree in Computer Science, Data Science, Statistics, or a related field is preferred. Interest in leveraging data to improve digital services and user outcomes in emerging or diverse markets.<br><br>Benefits<br><br>Flexible part-time schedule (50-60% level of effort). Fully remote work arrangement within a global team. Opportunity to contribute to impactful, large-scale digital services used across multiple countries. Collaboration with international product and data teams in a mission-driven environment. Exposure to strategic decision-making processes influencing product growth and user experience. Competitive compensation aligned with experience and scope of responsibility.<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 Gulf Net Solutions (GNS) Founded in 1997, Gulf Net Solutions Company Limited (GNS) is a leading solutions provider headquartered in Dammam, Saudi Arabia. As a wholly owned subsidiary of Ali Zaid Al Quraishi & Brothers (AZAQ), GNS delivers consultation, solutions, services, and manpower across various technology and infrastructure sectors throughout the GCC.<br>About the Role We are seeking an experienced Data Analyst Engineer to support project reporting, performance monitoring, and data-driven decision-making. The successful candidate will be responsible for analyzing project data, developing dashboards and reports, tracking KPIs, and providing insights to support project objectives.<br>Responsibilities Analyze project data and identify trends and performance indicators. Develop dashboards, reports, and data visualizations. Monitor project KPIs and prepare periodic reports. Validate and maintain data accuracy and quality. Support project teams with data-driven insights and recommendations. Present analytical findings to stakeholders and management.<br>Qualifications Bachelor's Degree in Engineering or a related technical discipline. Minimum 7 years of experience in Data Analysis, Reporting, or Performance Monitoring. Strong experience with Power BI, SQL, Excel, and reporting tools. Experience in dashboard development and KPI reporting. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Purpose / Objective:</strong></p><br> <p>Perform data analysis techniques to analyze information/ data and find out meaningful results to identify various facts and trends. The Data Analyst will work with respective department heads/ staff to produce reports that provide valuable insight for all areas of the business to enable continuous business improvements with current practices, products and services</p><br> <p><strong>Key Responsibilities / Accountabilities :</strong></p><br> <ul> <li>Perform data analysis using statistical techniques ensuring accuracy.</li> <li>Prepare queries to obtain research data sets from complex databases.</li> <li>Serve as resource for problem identification, resolution, loss reporting and continuous improvement.</li> <li>Research and analyze information using multiple databases and creates reports of data and results.</li> <li>Play a central role in the management of the incident / feedback management process including providing support and advice others where necessary.</li> <li>Prepare and submit various reports.</li> <li>Participate in person-centered care initiatives undertaken by HMG.</li> <li>Enrich patient experience with compassion, respect and dignity.</li> <li>Perform other applicable tasks and duties assigned within the realms of his/her knowledge, skills and abilities.</li> </ul><br><p><strong>Job Specifications:</strong></p><br> <p><strong>Educational and Professional Qualification:</strong></p><br> <ul> <li>Bachelor’s Degree in Commerce or relevant&nbsp;</li> </ul> <p><strong>Professional Experience:</strong></p><br> <ul> <li>1 – 3 Years of Data Analyst Experience</li> </ul> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Duties And Responsibilities Analytics & Dashboard Development Design, develop, and maintain interactive Power BI dashboards and reports to support clinical, operational, financial, quality, and population health initiatives. Collaborate with stakeholders to gather requirements, translate business needs into analytical solutions, and deliver actionable insights. Utilize SQL, Power Query (M), and DAX to extract, transform, model, and analyze data from multiple hospital systems and databases. Ensure data accuracy and integrity through validation, reconciliation, and documentation of data sources, definitions, and reporting methodologies. Identify trends, performance gaps, and improvement opportunities, providing proactive recommendations to leadership and key stakeholders. Develop user-friendly dashboards with effective visual design, navigation, filtering, and drill-through capabilities to enhance decision-making. Produce KPI reports, ad-hoc analyses, and data-driven recommendations aligned with departmental and organizational objectives. Coordinate with data engineering and IT teams to resolve data quality issues, obtain source-system access, and maintain consistent data definitions. Maintain strict confidentiality of patient, employee, and organizational data in compliance with applicable policies, accreditation standards, and regulations. Perform other related duties as assigned by the Director, Advanced Data Analytics (ADA).<br>Service Desk & User Enablement▪ This responsibility area is a significant component of the role. The proportion of timeallocated to service desk and user enablement varies by Officer assignment and mayrepresent up to 50% of the role for designated Officer slots.▪ Respond to user-submitted service desk tickets related to dashboards, reports, and analytics access — triage, troubleshoot, and resolve within agreed service levels<br><br>Qualifications and Certifications▪ Diploma's degree in a quantitative or analytical field (e.g., Data Science, Computer Science, Information Systems, Engineering, Health Informatics, or equivalent).▪ Healthcare-related background (clinical, public health, health administration, or health informatics) is anadvantage.▪ Relevant certifications in Power BI, data analytics, business intelligence, or healthcare informatics arepreferred but not required.▪Proven experience from 0-4 years as a data analyst preferably in healthcare set-ups▪Good command of English and Arabic<br>Competencies Technical Competencies▪ Strong hands-on experience building dashboards end-to-end in a modern BI platform —Power BI strongly preferred; Tableau, Qlik, Looker, or comparable platforms acceptable forcandidates willing to ramp on Power BI.▪ Working knowledge of SQL — able to read, modify, and write basic-to-intermediate queriesagainst relational databases for data extraction and validation.▪ Advanced Microsoft Excel — pivot tables, lookups, complex formulas, and data modelling.<br>Behavioral & Professional Competencies Strong analytical and problem-solving skills with the ability to work independently, manage ambiguity, and ensure data accuracy. Excellent communication and stakeholder management skills, with a customer-focused approach to supporting and training end users. High level of ownership, collaboration, and adaptability, with the ability to manage multiple priorities and drive continuous improvement.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Applus+ is part of the global Applus+ Group, a leading provider of testing, inspection, certification, quality assurance, and technical consultancy services operating in more than 65 countries worldwide.<br> In Saudi Arabia, Applus+ supports major government, infrastructure, energy, industrial, environmental, and giga-project initiatives through inspection, compliance, quality assurance, technical staffing, and operational excellence services.<br> The company works closely with public and private sector organizations to enhance safety, quality, regulatory compliance, and operational performance while supporting the Kingdom's Vision 2030 objectives.<br> Position Overview We are seeking a Data Analyst to support customer experience and compliance projects by analyzing operational and assessment data, developing dashboards, monitoring key performance indicators (KPIs), and generating actionable insights.<br> The successful candidate will be responsible for transforming data into meaningful reports and visualizations that support decision-making, project monitoring, and performance improvement initiatives.<br> This role requires strong analytical capabilities, attention to detail, and proficiency in business intelligence and reporting tools.<br> Key Responsibilities Collect, validate, and analyze data from multiple project and operational sources.<br> Develop and maintain dashboards, reports, and performance tracking tools using Power BI or similar business intelligence platforms.<br> Monitor and analyze KPIs related to customer experience, compliance, service quality, and operational performance.<br> Identify trends, patterns, gaps, and improvement opportunities through data analysis.<br> Prepare regular and ad-hoc reports for project teams, management, and clients.<br> Translate complex data into clear visualizations, presentations, and actionable business insights.<br> Support customer experience measurement, mystery shopping, compliance, and assessment programs through data analysis and reporting.<br> Ensure data accuracy, consistency, and integrity across reporting outputs.<br> Collaborate with project managers and stakeholders to define reporting requirements and performance metrics.<br> Present findings, trends, and recommendations to internal and external stakeholders.<br> Requirements Bachelor's degree in Data Analytics, Statistics, Business Administration, Information Systems, Computer Science, or a related field.<br> Minimum 5 years of proven experience in data analysis, reporting, dashboard development, and performance measurement.<br> Strong proficiency in Power BI or similar business intelligence and data visualization tools.<br> Experience working with large datasets and translating data into meaningful business insights.<br> Strong analytical, problem-solving, and reporting skills.<br> Advanced proficiency in Microsoft Excel and reporting tools.<br> Ability to manage multiple reporting requirements and meet project deadlines.<br> Strong attention to detail and data quality.<br> Preferred Qualifications Experience in customer experience analytics, compliance reporting, operational performance reporting, or quality assurance programs.<br> Previous experience in customer experience, mystery shopping, insurance, compliance, consulting, or inspection-related projects.<br> Knowledge of KPI frameworks, trend analysis methodologies, and performance measurement practices.<br> Arabic and English communication skills are preferred.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Seeking an experienced leader to manage and oversee strategic Data &amp; AI initiatives within a government, banking, or enterprise environment.<br> The candidate will lead cross-functional teams, manage project delivery, and drive digital transformation initiatives aligned with business objectives.<br> Key Responsibilities: · Lead and manage Data &amp; AI projects and delivery operations.<br> · Oversee project planning, execution, governance, risks, timelines, and reporting.<br> · Manage multidisciplinary teams including Data Engineers, Data Scientists, Analysts, and Project Managers.<br> · Ensure successful delivery of projects within scope, budget, and quality standards.<br> · Collaborate with executive stakeholders and business leaders to align delivery with strategic goals.<br> · Drive Agile methodologies and modern project delivery practices.<br> · Manage vendors, partners, and external stakeholders.<br> · Support enterprise digital transformation and data-driven initiatives.<br> Qualifications &amp; Experience: · Saudi National.<br> · Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field.<br> · 8+ years of experience in Project Management, Data Delivery, AI Programs, or Digital Transformation.<br> · Previous experience within Banking, Government, or Large Enterprise environments is highly preferred.<br> · Strong leadership and stakeholder management experience.<br> · Proven knowledge of Agile frameworks and enterprise project delivery.<br> Certifications: • PMP • PMI-ACP • Scrum Master • SAFe Agile • ITIL Technical Expertise: • Data Platforms &amp; Analytics • AI &amp; Machine Learning Initiatives • Agile Delivery Frameworks • PMO Governance • Digital Transformation • Risk &amp; Vendor Management Core Competencies: • Leadership &amp; Communication • Strategic Thinking • Delivery Management • Problem Solving • Stakeholder Management</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

We are seeking an experienced Data Analytics Specialist to join a leading banking project in Saudi Arabia.<br>Key Requirement4+ years of experience in Data Analytics, Data Science, or related fields. Strong experience within the Banking industry, specifically supporting Credit and Debit Card products. Proven expertise in Data Analytics, Predictive Modeling, and Data Science. Experience working with card portfolio analytics, transaction analysis, customer segmentation, fraud detection, credit risk, or related banking analytics functions. Strong proficiency in Python, SQL and SAS. Experience developing predictive models, customer behavior insights, and data-driven business recommendations. Ability to transform complex datasets into actionable insights for business stakeholders.<br>Preferred Qualifications Experience with credit card transaction analytics, risk scoring, churn prediction, and portfolio performance reporting. Strong analytical and problem-solving skills. Experience with data visualization and reporting tools such as Power BI or Tableau. Preferably currently based in Saudi Arabia.<br>Responsibilities Analyze large-scale banking and card transaction datasets to identify trends, opportunities, and risks. Develop predictive models to support business growth, customer retention, and risk management initiatives. Perform customer segmentation and behavioral analytics. Create dashboards and reports to support decision-making across business and product teams. Collaborate with stakeholders to define KPIs and deliver actionable insights. Support credit and debit card product teams through advanced analytics and data-driven recommendations.

Nour Net is looking for a visionary Head of Data & AI Sales to lead our mission in transforming businesses with cutting-edge Data & AI solutions. This role is your chance to shape strategy, drive growth, and lead a high-performing sales team in a fast-evolving market.<br>Key Responsibilities:<br>Sales Strategy & Leadership<br>Develop and execute the Data & AI sales strategy aligned with Nour Net’s business goals. Define GTM strategies for AI, analytics, and data solutions. Set revenue targets, sales plans, and performance metrics. Lead, mentor, and inspire the Data & AI sales team.<br>Revenue Growth & Pipeline Management Own and deliver revenue and gross margin targets. Build a strong pipeline across AI/ML, Advanced Analytics, Data Engineering, Data Governance & Management. Drive large, complex deals and multi-year contracts.<br>Strategic Account & Business Development Establish and nurture relationships with C-level stakeholders. Identify new business opportunities in enterprise and government sectors. Lead account expansion and cross-selling initiatives. Position Nour Net as a strategic Data & AI transformation partner.<br>Solution Alignment & Presales Collaboration Collaborate with architects, presales, and delivery teams. Ensure solutions meet client business needs and ROI expectations. Support proposals, pricing strategies, and solution positioning.<br>Tender & Proposal Leadership Lead large-scale RFPs, RFQs, and government tenders. Ensure compliance with procurement and regulatory standards. Develop competitive and winning bid strategies.<br>Market Intelligence & Innovation Monitor AI, data platforms, and digital transformation trends. Identify emerging technologies and market opportunities. Build strategic partnerships with vendors like Microsoft, AWS, and Google Cloud.<br>Stakeholder Management & Reporting Provide regular sales forecasts, pipeline reports, and executive insights. Engage with senior leadership on strategy and performance. Align with finance on pricing, margins, and profitability.<br>What We’re Looking For:Proven track record in leading Data & AI sales in enterprise environments. Strong strategic account management and business development experience. Ability to drive large, complex deals and multi-year contracts. Excellent leadership, communication, and negotiation skills.<br>Why Join Nour Net:<br> Join a forward-thinking company shaping the future of AI and data-driven transformation in the region. Lead a team that drives innovation and delivers measurable impact.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>Tech for People Unlocks the Future</strong></p><br><p>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.</p><br><p>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.</p><br><p><strong>Devoteam Culture &amp; Values:</strong></p><br><p>True innovation is born from a powerful culture, fused with meaningful values.</p><br><p><strong>Culture:</strong></p><br><ol><li><p><strong>Fair and courageous</strong><br> Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.</p><br></li><li><p><strong>Ambition and results</strong><br> Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.</p><br></li><li><p><strong>Learning and innovating</strong><br> Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.</p><br></li><li><p><strong>Caring and sharing</strong><br> A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration.<br> At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,&nbsp;</p><br></li></ol><p><strong>knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.</strong></p><br><p><strong>Because alone, we go faster – but together, we go further.</strong></p><br><p><strong>Values:</strong></p><br><ol><li><p>Respect</p><br></li><li><p>Frankness</p><br></li><li><p>Passion</p><br></li></ol><p><strong>Business Unit:</strong></p><br><p>Data &amp; Intelligence&nbsp;</p><br><p><strong>Level:</strong></p><br><p>Senior to Managerial -level<br> <br> To know more about us, please visit:&nbsp;www.devoteam.com</p><br><br>Job Description<br><ul><li>Design &amp; implement the data governance framework and operating model and roles and responsibilities</li><li>Design &amp; implement the data governance process workflows</li><li>Conduct requirement gathering, business analysis, and any data architecture activities with the data governance</li><li>Participate in the data maturity assessment sessions and gap analysis</li><li>&nbsp;Participate in alignment with EA teams and data strategy across the organization.</li><li>Coordinate with the project teams and others to ensure that data standards and models align with the overall enterprise architecture and applicable standard</li><li>Define roles and responsibilities related to data governance and data quality, develop related processes and procedures, and establish a common understanding and visibility of all agency data assets.</li><li>Develop a strong working relationship with the appropriate business users and provide business-impact-driven analysis and communicate results to stakeholders.</li><li>Engage in Establishing &amp; Operate Data offices</li><li>Engage in design &amp; implementing the data governance framework in the project. Including the standards, policies and procedures, operating model and data quality standards, roles, and procedures.</li><li>Help in managing and running the maturity assessment and change management practice throughout the project.</li><li>Participate in the delivery of the data governance projects.</li></ul><br>Qualifications<br><ul><li>Bachler's degree in IT&nbsp;or any related majors&nbsp;</li><li>DAMA, Informatica, Collibra certificates</li><li>5+ years of experience&nbsp;</li></ul><br>Additional Information<br><p><strong>Fluency in Arabic &amp; English is highly desirable&nbsp;</strong></p><br><br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Job Purpose:<br>We are seeking an experienced AI & Data Demand Expert to lead the demand management lifecycle for AI and Data initiatives. The role is responsible for capturing, qualifying, prioritizing, and managing business demand while acting as the primary interface between business stakeholders, clients, and delivery teams. The ideal candidate will translate business needs into actionable AI and data opportunities, ensuring strategic alignment, governance, and successful delivery planning.<br>Key Accountabilities:<br>Manage the end-to-end AI & Data demand management process, including intake, qualification, prioritization, and handover to delivery teams. Partner with business stakeholders and clients to identify AI and data opportunities and translate them into well-defined business requirements. Maintain and govern the AI & Data demand pipeline, ensuring visibility, prioritization, and alignment with business strategy. Collaborate with technical, architecture, and pre-sales teams to assess feasibility and develop high-level solution approaches. Support demand and resource planning by balancing business priorities with delivery capacity. Build strong relationships with internal and external stakeholders to drive engagement and manage expectations. Develop executive dashboards and reports to provide insights into pipeline health, demand trends, and portfolio performance. Ensure compliance with demand governance standards, documentation, and quality requirements. Continuously improve demand management processes, frameworks, and tools to support business growth and operational excellence.<br>Minimum Qualifications<br>Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Science, Engineering, or a related field.<br>Minimum Experience<br>+7 years of experience in Demand Management, Business Analysis, IT Portfolio Management, or Technology Consulting. Experience in role within AI, Data, Digital Transformation, or Enterprise Technology environments.<br>Job-Specific Skills<br>AI & Data Demand Management IT Portfolio & Pipeline Management Business Analysis & Requirements Gathering AI, Data Analytics & Digital Transformation Knowledge Capacity & Resource Planning Stakeholder & Executive Management Governance, Process Design & Continuous Improvement Reporting & Dashboarding (Power BI, Tableau, JIRA, Service Now PPM or similar) Strong analytical, communication, presentation, and facilitation skills

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Develop and implement AI and data-driven solutions to support business objectives.<br> Analyze large datasets to extract actionable insights and support decision-making.<br> Design and build machine learning models and algorithms tailored to company projects.<br> Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br> Stay current with the latest advances in AI, machine learning, and data science technologies.<br> Support data governance, data quality, and ethical AI practices within the organization.<br> A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within.<br> Continuous feedback: We don’t wait for annual reviews — we believe in real-time coaching and development.<br> Supportive &amp; collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team.<br> A space for every personality: Love socializing?<br> You’ll thrive in our lively environment where conversation and connection are key.<br> Prefer quiet focus?<br> We’ve got dedicated Focus Rooms perfect for deep work.<br> Flexible work options: Enjoy up to 6 Work from Home days per month — balance that works for you.<br> Bachelor’s degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn (academic or personal projects are a plus).<br> Good programming skills in Python and familiarity with data processing libraries (such as Pandas and NumPy).<br> Basic understanding of working with data and data visualization tools.<br> Foundational knowledge of statistics, data mining, and predictive modeling concepts.<br> Ability to learn quickly, solve problems, and work collaboratively within a team.<br> Good communication skills with the ability to simplify technical concepts.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Platform Engineer (German Speaker) based in Saudi Arabia.<br><br>This is an outstanding opportunity for an experienced data platform engineer to lead the evolution of a large-scale, cloud-native data platform supporting business-critical analytics and reporting. In this hands-on technical leadership role, you will own the platform's architecture, operations, and long-term roadmap while driving continuous improvements in scalability, reliability, and data quality. You will work closely with cross-functional teams to transform business requirements into robust technical solutions and establish engineering best practices across the platform. Combining strategic decision-making with hands-on development, you will also champion AI-assisted engineering workflows to accelerate productivity and innovation. The position offers significant ownership, autonomy, and the opportunity to shape the future of a modern data ecosystem operating at massive scale. It is ideal for engineers who enjoy solving complex technical challenges while mentoring others and driving technical excellence.<br><br>Accountabilities<br><br>Own the end-to-end data platform strategy, architecture, and operational roadmap from data ingestion through reporting and analytics delivery. Lead the continuous optimization of a cloud-native data platform, focusing on reliability, scalability, performance, maintainability, and cost efficiency. Oversee data ingestion, streaming pipelines, batch processing, data modeling, quality assurance, and reporting workflows. Strengthen platform observability through comprehensive monitoring, alerting, incident management, and operational best practices. Define engineering standards for documentation, testing, code reviews, infrastructure management, and AI-assisted software development. Drive the adoption of AI-native engineering practices, including AI-powered coding, testing, refactoring, documentation, and code quality reviews. Collaborate closely with product, customer-facing teams, leadership, and external specialists to deliver scalable, business-focused technical solutions. Mentor engineers, provide technical leadership, and establish sustainable ownership across critical platform components.<br><br>Requirements<br><br>5+ years of experience in Data Engineering, Data Platform Engineering, Platform Engineering, or a closely related field. Strong hands-on experience designing and operating production-grade cloud-native data platforms. Solid proficiency in Go (Golang) for developing and maintaining backend services and data processing systems. Extensive experience with Google Cloud Platform services, including Cloud Run, Pub/Sub, Big Query, Dataflow, Cloud Storage, and Cloud SQL. Strong SQL skills and experience with analytical data modeling; familiarity with SQLMesh, dbt, or similar orchestration frameworks is an advantage. Practical experience with Infrastructure as Code using Terraform, CI/CD pipelines, Docker, and serverless deployment models. Experience with Protobuf or comparable schema definition and serialization technologies. Familiarity with digital audience measurement, web analytics, or related data domains is desirable. Experience using AI coding assistants and the ability to review AI-generated code with attention to quality, security, and operational reliability. Excellent communication and stakeholder management skills. Fluent German (C1 level) is required, along with good English communication skills for technical collaboration and documentation.<br><br>Benefits<br><br>Fully remote position with flexible working arrangements. High levels of autonomy and ownership in a trusted engineering environment. Opportunity to lead the evolution of a modern, large-scale cloud-native data platform. Minimal bureaucracy with an emphasis on efficient collaboration and sustainable delivery. Collaborative, supportive, and international engineering team. Access to a broad network of Saa S professionals, technical leaders, and knowledge-sharing opportunities. Transparent, location-adjusted compensation shared prior to the interview process. Strong opportunities for technical leadership, professional growth, and continuous learning.<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>We are looking for an experienced AI & Data Delivery Expert to lead the successful delivery of AI and Data initiatives from planning through execution and closure. The role is responsible for managing multiple projects, leading cross-functional teams, and ensuring solutions are delivered on time, within budget, and aligned with business objectives while maintaining the highest standards of quality and client satisfaction.<br>Key Accountabilities:<br>Lead the end-to-end delivery of AI & Data projects, managing scope, schedule, budget, quality, and risks. Develop and maintain project plans, delivery roadmaps, resource plans, and execution strategies using Agile, Waterfall, or hybrid methodologies. Serve as the primary point of contact for clients and business stakeholders throughout the project lifecycle. Lead multidisciplinary teams including Data Scientists, Data Engineers, ML Engineers, BI Developers, and Business Analysts. Proactively manage project risks, dependencies, and issues while driving timely resolution. Ensure all project deliverables meet quality standards, business requirements, and acceptance criteria. Monitor project financials, resource utilization, forecasting, and delivery performance. Drive stakeholder engagement, change management, user adoption, and knowledge transfer activities. Contribute to the continuous improvement of delivery frameworks, governance, and project management best practices.<br>Minimum Qualifications:<br>Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.<br>Minimum Experience:<br>+7 years of experience in technology project or program delivery. Experience in leading AI, Data Analytics, Data Engineering, or Digital Transformation projects.<br>Job-Specific Skills:<br>AI & Data Project Delivery Project & Program Management (Agile, Scrum, Waterfall, Hybrid) Stakeholder & Client Management Cross-Functional Team Leadership Risk, Issue & Dependency Management Budget & Financial Management Quality Assurance & Delivery Governance Change Management & User Adoption Project Management Tools (JIRA, Azure Dev Ops, MS Project, Smartsheet)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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 various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>At least 3 year of relevant experience</strong> in data engineering, web scraping, automation, or software development (required). </p> <ul> <li><strong>Bachelor's or Master s Degree</strong> in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>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 various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>At least 3 year of relevant experience</strong> in data engineering, web scraping, automation, or software development (required).</p> <ul> <li><strong>Bachelor's or Master s Degree</strong> in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul><p></p></section>

TMC Middle East is currently engaged in a project with one of our prestigious customers in KSA. We are seeking a highly capable Business Data Analyst (Arabic) expert to help TMC to deliver this assignment.<br>About the Role:Position: Data Analyst Location: Remote Experience: 5+ Years Preferred: Arabic Speakers only<br>Qualifications:<br>Fluency in Arabic (spoken and written) is a must-have for this role. Minimum 5+ years of experience in a data analyst or business intelligence role. Hands-on experience building data preparation workflows in Alteryx. Proficiency in Python for data analysis (e.g. pandas, Num Py). Experience working with Google Cloud Platform, particularly Big Query. Strong SQL skills for querying and aggregating data. Experience creating dashboards and reports (e.g., Power BI, or Tableau). Strong analytical thinking and attention to detail. Ability to communicate insights clearly to both technical and non-technical audiences.<br>Preferred Qualifications Alteryx Designer certification. Experience with statistical analysis or basic predictive modelling. Familiarity with version control (Git) and collaborative analytics workflows. Relevant degree in a quantitative or business-related field.<br><br>Please share your CV with the title of Data Analyst Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com

TMC Middle East is currently engaged in a project with one of our prestigious customers in KSA. We are seeking a highly capable Business Data Analyst (Arabic) expert to help TMC to deliver this assignment.<br>About the Role:Position: Data Analyst Location: Remote Experience: 5+ Years Preferred: Arabic Speakers only<br>Qualifications:<br>Fluency in Arabic (spoken and written) is a must-have for this role. Minimum 5+ years of experience in a data analyst or business intelligence role. Hands-on experience building data preparation workflows in Alteryx. Proficiency in Python for data analysis (e.g. pandas, Num Py). Experience working with Google Cloud Platform, particularly Big Query. Strong SQL skills for querying and aggregating data. Experience creating dashboards and reports (e.g., Power BI, or Tableau). Strong analytical thinking and attention to detail. Ability to communicate insights clearly to both technical and non-technical audiences.<br>Preferred Qualifications Alteryx Designer certification. Experience with statistical analysis or basic predictive modelling. Familiarity with version control (Git) and collaborative analytics workflows. Relevant degree in a quantitative or business-related field.<br><br>Please share your CV with the title of Data Analyst Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com

The Big Data Consultant is accountable for providing thought leadership by maintaining knowledge of data quality, master data management tools and technology trends, standards, and methodologies.

Job purpose / role:To provide support in the supervision, coordination and Esurance of the application and implementation of the data components of the Anti-Fraud Strategy, the Anti-Fraud Technology Strategy and the Anti-Fraud program. Support in the coordination of data related efforts with the different relevant areas of the Bank. Engage with different areas of the Bank to understand functional requirements and translate them into technological solutions to incorporate in the development plans.<br>Areas of responsibility:Strategy Coordinates the implementation of the Anti-Fraud strategy and the associated objectives and initiatives, in relation to Anti-Fraud technology and data. Coordinates the implementation of the Anti-Fraud Technology Strategy and the associated objectives and initiatives. Proposes adjustments to the Anti-Fraud strategy and the Anti-Fraud Technology Strategy, as required. Policies, Processes & Procedures Coordinates the implementation the Anti-Framework Framework /Program in relation to technology & data and develops or updates required policies and procedures for applying the program. Coordinates the implementation of the Anti-Fraud Policy, Technology and Data related Processes, Procedures and relevant Standards. Escalates to the relevant stakeholders proposed adjustments or changes to the Anti-Fraud Policies, Processes and Procedures as the Fraud landscape evolves. Budget Assists in the management of the budget assigned to the Fraud Systems & Analytics section (licenses, maintenance, updates, etc.) Identifies and scales budget requirements for the Analytics section Tracks budget and expenditure plans Day- to-day operations Ensures that Senior Management is constantly informed for all Anti-Financial Fraud data developments through regular or ad hoc reports. Coordinates data developments and plans, understands status, communicates relevant matters, escalates incidents. Develops coding and scripts. Designs databases and data points. Engages with different stakeholders across the Bank and the Anti-Financial Fraud department. Provides technical knowledge to staff in relation to data, integration, functionalities, etc. Supervising work and developments conducted by analysts. Engages with vendors and third parties as required. Anti-Financial Fraud Develop data queries, statistical analysis and reports identify key data elements that can be used to monitor and Identify emerging fraud trends and analyzes behavioral patterns. Lead the analysis of emerging fraud trends, fraud risk criteria and high risks customer segments Develop and proposes necessary fraud strategies and rules to mitigate risk and loss. Use data queries, decision tree model, and other decision science tools to predict fraud risk, forecast fraud trends, and provide business insight Conducts ad-hoc reviews of different areas of the bank to identify internal fraud. (i.e. data analytics on finance systems, access security) Maintain an ongoing expertise on fraud landscape; collaborates closely with Fraud Risk Advisor, Threat Intelligence Analysts and Fraud Investigations to understand current and prospective fraud threat. Identifies and maps of all fraud-related datapoint and unification of data formats. Develops business requirements documents. Prepares and maintains Management Information dashboards. Prepares and maintains KRI metrics and Fraud Risk Appetite data. Extracts and analyses data to identify new trends and patterns. Defines and proposes additional controls and revised operations based on the results of the data analysis. Conducts optimization and adjustment of the monitoring rules and scenarios based on data analysis and new data inputs. Identifies and manages external sources of information for obtaining an overview of the fraud landscape and identifying fraud risks. Incorporates inputs from Intelligence monitoring in dashboards or reports Collects data from non-fraud internal systems to perform ad-hoc reviews. Gathers and provides specific data for the investigations team in order to conduct investigation. Engages with Cyber/AML to share intelligence and relevant information. Participate in the development of digital identify protection system and fraud detection Prepare fraud activity reports and conduct research of malicious activity Support other units with fraud analysis and investigations Analyze suspicious fraud events and user sessions for fraud behavior Analyze fraud trends and makes recommendations for fraud prevention processes Use a variety of tools, systems and reports to detect fraud trends Review accounts and transactions for potential fraud Consolidate, interpret and present data in reports/dashboards. Perform analyses on Instant Payment, debit/credit card transactions and others portfolio to identify transactional fraud patterns, and recommend courses of action to help mitigate additional related fraud and potential losses. Provide scheduled and ad hoc statistical analysis and summary reporting to management Apply critical thinking skills to recognize patterns, trends, and inconsistencies within transactional and customer data to detect, prevent, mitigate, and report potentially suspicious activity. Ensure proper controls are in place for the detection and prevention of suspicious activity, including the use of systems, reports, and other tools. Develop recommendations for additional control requirements and process enhancements. Continuous Improvement Stimulates subordinates and Contributes to the identification of opportunities for continuous improvement of systems, processes and practices taking into account ‘international best practices’, improvement of business processes, cost reduction and productivity improvement. Reporting Prepares department reports of Riyad Bank timely and accurately to meet organization and department requirements, policies and standards. Prepares and submits reports to regulators timely and accurately to meet the regulator’s requirements. People Management Ensures all staff have clear objectives, regular performance feedback sessions, formal annual appraisals, and individual development plans, with particular emphasis on the development of talented Saudi national staff Safety, Quality & Environment Ensures compliance to all relevant safety, quality and environmental management policies, procedures and controls across the department in order to guarantee employee safety, legislative compliance and a responsible environmental attitude. Team lead and support Able to do Knowledge transfer Provide the correct decisions for the team members Lead team members on all compliance activity Supervise and review team work and provide feedback. Point of reference to the team members Provide full support to the team members Related Assignments Performs other related duties or assignments as directed.<br>Minimum Qualifications:Bachelor’s degree in Computer Science, Information technologies, Engineering, Data Analytics or any other relevant field. Desirable post-graduate in Computer Science, Business Intelligence, Big Data, Data Analytics and/or Project Management. Experience:6-8 years of relevant experience in Banking/Financial Institutions or Consulting.

Job Title – Oracle EBS Data Migration Consultant 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>Job Description:Experience in Oracle EBS Implementation & Support projects. Define migration scope, approach, waves, and governance aligned to program timelines. Lead the Data Migration stream (Extraction, Cleansing, Loading), ensuring successful migration of all master and transactional data from third party system into Oracle EBS. Lead end-to-end data migration planning, design, build, testing, and cutover for Oracle E-Business Suite R12. Create and maintain a data migration strategy and produce/quality assure other deliverables. Manage data quality across different phases of the data migration and make sure that data is fit for purpose. Knowledge of Data Migration tools. Perform and co-ordinate Unit / System Integration testing Ability to communicate in a clear and concise manner working in Integrated Project Teams.<br>Thank you for expressing interest in this role at TCS. We will review your application and reach out to you if your profile aligns with our requirements for this opportunity.<br>Application Deadline: 10-August-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy