5 Data Analysis jobs in Jeddah

Overview

The Senior Specialist, Data Analytics plays a key technical role in enabling data-driven decision-making across the organization using SAP Analytics Cloud and SAP Datasphere. This role is responsible for designing, developing, and maintaining enterprise-grade analytics solutions by leveraging data from SAP and non-SAP systems across Procurement, Sales, Finance, Production, Quality, HR, and Supply Chain. The position combines strong data engineering capabilities with business understanding to deliver accurate, actionable insights aligned with organizational goals.

• Design, build, and maintain dashboards, reports, and KPIs using BI tools such as SAP Datasphere and SAP Analytics Cloud.
• Extract, transform, and load (ETL) data from SAP modules (FICO, MM, SD, PP, QM, HR) and other enterprise systems.
• Develop data models, semantic layers, and data marts to enable self-service analytics.
• Create and maintain Data Actions, Multi Actions, Story Input Masks, and Dashboards.
• Collaborate with SAP consultants, application owners, and data engineers to ensure data pipeline integrity.
• Ensure accuracy, consistency, and availability of data across multiple platforms.
• Integrate data from SAP HANA, SuccessFactors, SQL Server, IoT systems, Excel, and third-party APIs.
• Translate business requirements into technical specifications and scalable analytics solutions.
• Partner with stakeholders to define metrics and provide insights that support planning, forecasting, and performance.
• Deliver insights for Sales (performance trends), Supply Chain (inventory aging), and Finance (margin analysis).
• Document analytics solutions including data dictionaries, logic, and lineage diagrams.
• Enforce data governance, access control, and role-based reporting.
• Provide L2/L3 technical support for BI tools and analytics platforms.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 5–7 years of experience in data analytics, business intelligence, or data engineering.
• Certification in SAP Data tools (SAP Datasphere, SAP Analytics Cloud, SAP BW, or HANA).
• Strong technical knowledge of SAP data structures with experience in SAP modules (FICO, MM, SD, PP, QM, HR).
• Hands-on expertise with SAP Datasphere, SAP Analytics Cloud, and BI dashboards.
• Proficiency in SQL, data modeling, and ETL techniques.
• Familiarity with data warehouse platforms (e.g., SAP BW, HANA, Azure Synapse, Snowflake).
• Exposure to manufacturing and supply chain analytics in SAP-enabled environments is highly desirable.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and stakeholder engagement skills.
• Fluency in Arabic and English (written and spoken).

Join to apply for the Director of Data Analytics (Loyalty) role at Michael Page

The hiring organisation is a well-established entity within the retail industry, known for its innovative approach to loyalty programs.

Analytics Strategy & Leadership

• Define and execute the data and analytics roadmap for loyalty, CRM, and marketing programs.
• Build and mentor a high-performing team of data scientists, analysts, and BI specialists.
• Foster a data-driven decision-making culture across the organization.

Loyalty & CRM Analytics

• Design and measure loyalty program strategies to improve retention, engagement, and ROI.
• Leverage AI/ML for personalization, segmentation, and churn prediction.
• Monitor and optimize customer lifetime value (CLV) across all segments.
• Deliver omnichannel analytics that integrate data from in-store, eCommerce, app, and digital platforms.

Insights & GTM Strategy

• Partner with marketing and commercial teams to shape go-to-market (GTM) strategies driven by customer insights.
• Provide recommendations on reward structures, promotional campaigns, and customer journeys to maximize impact.
• Develop executive dashboards and KPIs to track loyalty program performance and GTM effectiveness.

Data Management & Governance

• Oversee data integration across POS, CRM, eCommerce, mobile, and digital channels.
• Ensure data quality, governance, and compliance with industry standards.
• Drive adoption of cloud-based analytics platforms and scalable data models.

A successful Director of Data Analytics (Loyalty) should have:

• Minimum degree qualified, Masters is preferred, with past experiences in loyalty programs within retail, restaurant chain, banking or airlines.
• 12+ years of experience in data analytics, with at least 5 years in leadership roles.
• Exceptional communication and stakeholder management skills, with experience influencing C-level executives.
• Strong expertise in retail, loyalty program design, CRM, and omnichannel analytics.
• Proven success in customer segmentation, CLV modelling, and GTM strategy enablement.
• Proficiency in cloud-based analytics platforms, strong technical understanding of AI/ML methodologies.
• Excellent business acumen with the ability to translate analytics into strategic recommendations.

• An attractive salary package in the range of SAR 60,000 to SAR 65,000 annually.
• Comprehensive benefits package (details to be confirmed).
• Opportunity to work in a leadership role within a large organisation in the life science industry.
• A permanent position based in Jeddah, offering stability and long-term career growth.
• Access to cutting-edge analytics tools and technologies.

Join to apply for the Director of Data Analytics (Loyalty) role at Michael Page

The hiring organisation is a well-established entity within the retail industry, known for its innovative approach to loyalty programs.

Analytics Strategy & Leadership

• Define and execute the data and analytics roadmap for loyalty, CRM, and marketing programs.
• Build and mentor a high-performing team of data scientists, analysts, and BI specialists.
• Foster a data-driven decision-making culture across the organization.

Loyalty & CRM Analytics

• Design and measure loyalty program strategies to improve retention, engagement, and ROI.
• Leverage AI/ML for personalization, segmentation, and churn prediction.
• Monitor and optimize customer lifetime value (CLV) across all segments.
• Deliver omnichannel analytics that integrate data from in-store, eCommerce, app, and digital platforms.

Insights & GTM Strategy

• Partner with marketing and commercial teams to shape go-to-market (GTM) strategies driven by customer insights.
• Provide recommendations on reward structures, promotional campaigns, and customer journeys to maximize impact.
• Develop executive dashboards and KPIs to track loyalty program performance and GTM effectiveness.

Data Management & Governance

• Oversee data integration across POS, CRM, eCommerce, mobile, and digital channels.
• Ensure data quality, governance, and compliance with industry standards.
• Drive adoption of cloud-based analytics platforms and scalable data models.

A successful Director of Data Analytics (Loyalty) should have:

• Minimum degree qualified, Masters is preferred, with past experiences in loyalty programs within retail, restaurant chain, banking or airlines.
• 12+ years of experience in data analytics, with at least 5 years in leadership roles.
• Exceptional communication and stakeholder management skills, with experience influencing C-level executives.
• Strong expertise in retail, loyalty program design, CRM, and omnichannel analytics.
• Proven success in customer segmentation, CLV modelling, and GTM strategy enablement.
• Proficiency in cloud-based analytics platforms, strong technical understanding of AI/ML methodologies.
• Excellent business acumen with the ability to translate analytics into strategic recommendations.

• An attractive salary package in the range of SAR 60,000 to SAR 65,000 annually.
• Comprehensive benefits package (details to be confirmed).
• Opportunity to work in a leadership role within a large organisation in the life science industry.
• A permanent position based in Jeddah, offering stability and long-term career growth.
• Access to cutting-edge analytics tools and technologies.

Job Description

We are looking for a highly skilled Senior Data Warehouse & Analytics Consultant with extensive experience in data warehousing, data analytics, and Power BI. The ideal candidate will have a proven track record of designing, implementing, and managing data solutions that drive business insights and decision-making.

• Data Warehouse Design & Management: Lead the design, implementation, and management of data warehouses, ensuring data integrity, quality, and security.
• ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes to ensure efficient data flow from various sources into the data warehouse.
• Data Analytics: Perform advanced data analysis to identify trends, patterns, and insights that support business objectives.
• Power BI Development: Design and develop interactive dashboards and reports using Power BI to visualize data and provide actionable insights.
• Collaboration: Work closely with business stakeholders, data analysts, and IT teams to understand data requirements and deliver effective solutions.
• Performance Tuning: Optimize data warehouse performance and troubleshoot any issues to ensure smooth operation.
• Documentation: Maintain comprehensive documentation of data warehouse architecture, ETL processes, and analytics solutions.
• Training & Support: Provide training and support to end-users on data analytics tools and best practices.

• Experience: Minimum of 10 years of experience in data warehousing, data analytics, and Power BI.
• Technical Skills: Proficiency in SQL, ETL tools, data modeling, and data warehousing concepts. Strong expertise in Power BI for data visualization.
• Analytical Skills: Excellent analytical and problem-solving skills, with the ability to translate complex data into meaningful insights.
• Project Management: Proven experience in managing large-scale data projects from inception to completion.
• Communication: Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders.
• Certifications: Relevant certifications in data warehousing, data analytics, and Power BI are highly desirable.

• Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
• Knowledge of big data technologies and tools (e.g., Hadoop, Spark).
• Familiarity with other BI tools like Tableau or QlikView.
• Ability to mentor and guide junior data professionals.