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CBD Digitalization & Analytics Assistant Manager - Arabia

Unilever
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Business intelligenceCommercial analyticsPower BIData modellingDAXPower Query

Full Job Posting

Job purpose and scope

Owns and operates the commercial data, business intelligence, and analytics ecosystem for Unilever Arabia Customer Business Development.

Supports six GCC markets, more than 45 retail customers, all business groups, 300+ BI platform users, and 100+ field sales users.

Combines hands-on technical ownership with leadership of a small team of analysts.

Data management and engineering

  • Manages 1,700+ daily, weekly, and monthly files from retailers, distributors, SAP, and syndicated providers in varied structures, currencies, units, and granularities.
  • Owns sell-in, sell-out/EPOS, distribution, trade stock, and execution datasets, including OSA and Share of Shelf.
  • Builds and maintains ETL pipelines using Power Query, Python, SQL, Azure Data Factory, and Databricks to address schema changes, duplicates, missing values, invalid barcodes, conversions, and late submissions.
  • Runs quality checks and cross-source reconciliations; maintains product, customer, and hierarchy master data and governed reporting models.

Sell-out data and product mapping

  • Manages monthly sell-out collection, cleansing, mapping, validation, and publishing for retail customers.
  • Maps retailer SKUs to Unilever and competitor product hierarchies for market-share and competitor analysis.
  • Maintains Python machine-learning mapping using exact, fuzzy, and semantic matching, nearest-neighbour search, historical consensus, and hierarchy rules.
  • Monitors model accuracy and confidence thresholds and runs manual review for uncertain items.

Power BI and automation

  • Develops and maintains regional Power BI dashboards for sell-in, sell-out, execution, trade stock, and commercial scorecards.
  • Builds data models and DAX measures for time intelligence, period switching, unit toggles, ranking, growth, and market share.
  • Manages row-level security, user and workspace permissions, refreshes, gateways, publishing, versioning, and report performance.
  • Automates reporting with Power Automate, Power Query, Python, and advanced Excel; standardizes templates and file formats with data owners.

AI and commercial insights

  • Develops machine-learning models for data accuracy and efficiency and supports AI agents and conversational analytics tools.
  • Explores AI and GenAI use cases with IT, including Databricks, Azure, Power BI Copilot, and AI Foundry.
  • Analyzes growth, market share, pricing, distribution, customer performance, stock risks, and competitor activity across markets and business groups.
  • Supports Joint Business Planning and customer and business reviews with analysis and presentations; conducts pricing analysis and scenario modelling.
  • Identifies opportunities and risks, responds to new business questions, develops dashboards and analytical tools, onboards data sources and markets, and delivers ad-hoc analysis.

Leadership and governance

  • Leads, coaches, and develops up to six analysts and plans work across daily, weekly, and monthly cycles.
  • Prioritizes requests and manages the analytics roadmap with stakeholders.
  • Maintains KPI definitions, naming conventions, validation rules, documentation, and runbooks; trains business users and promotes self-service analytics.

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; FMCG, retail, or ecommerce experience is ideal.
  • Strong Power BI skills, including data modelling, DAX, and Power Query, and strong SQL.
  • Python skills for data processing, automation, and matching or machine learning; pandas, RapidFuzz, scikit-learn, or similar tools.
  • Understanding of FMCG commercial metrics including sell-in, sell-out, market share, trade stocks, DOC/DRR, TTS, and P&L.
  • Proven experience building reporting from scratch and automating manual processes.
  • Ability to explain data to non-technical and senior audiences and experience leading a small analytics team.

Nice to have

  • Experience with Microsoft Fabric, Databricks, or lakehouse platforms.
  • Hands-on experience building AI agents or GenAI solutions, including M365 Copilot, Agent Builder, Azure AI Foundry, or LLM APIs.
  • Experience with GCC retailer sell-out and syndicated data such as Nielsen or Dunnhumby.
  • Experience with Azure Data Factory or similar ETL tools.

About Unilever

Unilever describes itself as a purpose-led business with global and local consumer brands.

The company states its commitment to equity, inclusion, and diversity and encourages applicants to share any access requirements during application.

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