About the Role
We are looking for an Assistant Manager – Data & BI to own and operate the commercial data, business intelligence and analytics ecosystem for the Customer Business Development function, covering 6 GCC markets, 45+ retail customers, and all business groups. You will be responsible for the full data lifecycle, including data ingestion, ETL, data modelling, and master data management, transforming data into reliable dashboards, automated reporting, and commercial insights. The role requires analyzing growth, market share, pricing, and customer performance, running deep dives, and supporting Joint Business Planning and business reviews. This is a hands-on role with team leadership responsibilities, partnering with CBDs and CSPs, while leading a small team of analysts.
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What Will Be Your Responsibilities
- Manage and maintain a high-volume data estate of 1,700+ daily, weekly, and monthly files.
- Cover 15+ data domains, including sell-in, sell-out (EPOS), distribution, trade stock, execution, and syndicated market data.
- Support 6 GCC markets, 45+ retail customers, and all business groups.
- Run BI platforms used by 300+ business users and live trackers used by 100+ field sales users.
- Lead a team of up to 6 analysts.
Role Scope and Complexity
- Broad, end-to-end ownership across the commercial data landscape.
- Handle a breadth of data from many sources, formats, and refresh cycles all integrated into one regional view.
- Deep technical work involving data pipelines and models, Power BI administration, automation, and machine learning.
- Regional impact supporting commercial planning and decisions across all markets and business groups.
- Continuous development as new data sources, markets, KPIs, and business needs are added regularly.
Key Responsibilities
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Data Management & Data Engineering
- Manage and maintain 1,700+ daily, weekly, and monthly files from various sources.
- Own core commercial datasets end-to-end, including sell-in, sell-out/EPOS, distribution, trade stock, and execution.
- Build and maintain ETL pipelines using Power Query, Python, SQL, Azure Data Factory, and Databricks.
- Run data-quality checks every cycle including outlier detection and cross-source reconciliation.
- Maintain product, customer, and hierarchy master data across all markets and business groups.
- Design and maintain data models serving as a governed source of truth for reporting.
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Sell-out (EPOS) Data & Product Mapping
- Manage the monthly sell-out cycle for retail customers including collection, cleansing, mapping, validation, and publishing.
- Map retailer SKUs to the company and competitor product hierarchy for market share analysis.
- Maintain and improve the machine-learning mapping pipeline using various techniques and monitoring model accuracies.
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Power BI Development & Administration
- Develop and maintain Power BI platforms and dashboards for various commercial metrics.
- Build data models and advanced DAX measures for enhanced reporting capabilities.
- Manage access and permissions for users, scheduled refreshes, and dashboard performance.
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Automation
- Identify and automate manual and repetitive reporting tasks end-to-end.
- Build and maintain Power Automate flows for operational efficiencies.
- Standardize file templates and formats to improve data flow.
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AI & Machine Learning
- Develop and maintain machine-learning models to improve data accuracy and efficiency.
- Explore new AI and GenAI use cases for commercial analytics with IT collaboration.
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Commercial Analytics & Insights
- Analyze growth, market share, pricing, and customer performance across various groups.
- Support Joint Business Planning and provide clear analysis for customer and business reviews.
- Build scenario models to support commercial decisions.
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New Opportunities & Analytics Development
- Identify growth opportunities and risks based on data insights.
- Design and launch new dashboards and analytical tools as business needs evolve.
- Deliver ad-hoc analysis to meet tight timelines.
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Team Leadership & Governance
- Lead, coach, and develop a team of analysts while planning work across cycles.
- Prioritize requests and manage the analytics roadmap.
- Maintain data governance standards and promote self-serve analytics for users.
What You Need to Succeed
- Bachelor's degree in Engineering, Computer Science, Statistics, Business, or a related field.
- 7+ years in business intelligence, commercial analytics, or data roles, ideally in FMCG, retail, or eCommerce.
- Strong command of Power BI (data modelling, DAX, Power Query) and SQL.
- Proficiency in Python for data processing, automation, and machine learning.
- Solid understanding of FMCG commercial metrics like market share and trade stocks.
- Proven track record of building reporting from scratch and automating manual processes.
- Strong communication skills to explain data to a non-technical and senior audience.
Nice to Have
- Experience with Microsoft Fabric, Databricks, or lakehouse platforms.
- Hands-on experience building AI agents or GenAI solutions.
- Familiarity with GCC retailer sell-out data and syndicated data (e.g., Nielsen, Dunnhumby).
- Experience with Azure Data Factory or other ETL tools.
Commitment to Diversity
We embrace diversity and encourage applicants from all walks of life, giving full and fair consideration to all applicants. We are committed to equity, inclusion, and diversity to drive business results and create a better future for our diverse employees, global consumers, partners, and communities. We welcome every individual bringing their ‘Whole Self’ to work. If you require any support or access requirements, please advise us during the application process.
