# CBD Digitalization & Analytics Assistant Manager - Arabia at Unilever

Unilever is hiring a CBD Digitalization & Analytics Assistant Manager - Arabia in Dubai, United Arab Emirates. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/9a0f3840-d90b-4721-a12b-1d8ed04b58d0?utm_medium=ai-agent).

AI Level 1, AI centrality 22 out of 100. Dubai, United Arab Emirates.

## Details

- Company: [Unilever](https://jobsbylevel.com/companies/unilever)
- AI level: AI Level 1 (score 22 out of 100)
- Location: Dubai, United Arab Emirates
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/9a0f3840-d90b-4721-a12b-1d8ed04b58d0?utm_medium=ai-agent

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/cbd-digitalization-analytics-assistant-manager-arabia-at-unilever-357497

## Description

About Unilever At Unilever you are more than your job title, you are part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We produce world-leading brands including Lipton, Knorr, Dove, Axe, Hellmann’s and Omo, alongside trusted local names and innovative-forward thinking brands like Ben & Jerry’s, The Dollar Shave Club and Surf. Be part of the most successful purpose-led business in the world. Have the opportunity to see the true impact that you’re having in the work you do - every small thing counts. Job Purpose We are looking for an Assistant Manager – Data & BI to own and operate the commercial data, business intelligence and analytics ecosystem for Unilever Arabia's Customer Business Development function. The role covers 6 GCC markets, 45+ retail customers and all business groups. You will be responsible for the full data lifecycle — data ingestion, ETL, data modelling and master data — and for turning that data into reliable dashboards, automated reporting and commercial insights. You will analyse growth, market share, pricing and customer performance, run deep dives, and support Joint Business Planning and business reviews. This is a hands-on role with team leadership responsibility. You will partner with CBDs and CSPs, and lead a small team of analysts. 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 This role offers broad, end-to-end ownership across the commercial data landscape: • Breadth of data – many sources, formats and refresh cycles across retailers, distributors, internal systems and syndicated providers, all integrated into one regional view. • Depth of technical work – from data pipelines and data models through Power BI administration, automation and machine learning. • Regional impact – the data and dashboards managed in this role support commercial planning and decisions across all markets and business groups. • Continuous development – new data sources, markets, KPIs and business needs are added regularly, so the role combines steady operations with ongoing build work. Key responsibilities 1. Data management & data engineering • Manage and maintain 1,700+ daily, weekly and monthly files from retailers, distributors, SAP and syndicated providers, arriving in different structures, granularities, currencies and units. • Own core commercial datasets end to end, including sell-in, sell-out/EPOS, distribution, trade stock and execution (OSA, Share of Shelf). • Build and maintain ETL pipelines (Power Query, Python, SQL, Azure Data Factory, Databricks) that handle schema changes, duplicates, missing values, invalid barcodes, unit conversions and late or partial submissions. • Run data-quality checks every cycle: completeness, variance against prior periods, outlier detection and cross-source reconciliation. • Reconcile sell-in, sell-out and trade stock by market, customer, category and SKU. • Maintain product, customer and hierarchy master data across all markets and business groups. • Design and maintain data models that serve as one governed source of truth for all reporting. 2. Sell-out (EPOS) data & product mapping • Manage the monthly sell-out cycle for all retail customers: collection, cleansing, mapping, validation and publishing. • Map retailer SKUs to the Unilever and competitor product hierarchy to keep market share and competitor analysis complete. • Maintain and improve the machine-learning mapping pipeline (Python) using exact, fuzzy and semantic

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/cbd-digitalization-analytics-assistant-manager-arabia-at-unilever-357497

Source: https://jobsbylevel.com/jobs/cbd-digitalization-analytics-assistant-manager-arabia-at-unilever-357497

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Level. https://jobsbylevel.com/jobs/cbd-digitalization-analytics-assistant-manager-arabia-at-unilever-357497.

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