Data Analyst (Supply Chain)

Role:

Location:

Job Type: Full-Time

About

Lulu is one of the most trusted and expansive retail brands in the Middle East, with operations across 6 GCC countriesUAE, KSA, Qatar, Oman, Bahrain, and Kuwait. We serve millions of customers every week through a powerful combination of physical and digital touchpoints.

Our store network spans over 250 outlets, including:

• Hypermarkets (~120+):

  Large-format stores offering full grocery and department store assortments

• Express Stores (~110+):

  Neighbourhood essentials with curated ranges

• Mini Markets (~25+):

  High-frequency top-up stores designed for convenience

With this extensive offline footprint, we're now on a mission to build the most loved ecommerce platform in the region, integrating our physical scale with seamless digital capabilities.

But we’re not solving only for grocery.

Our digital platform will power multiple verticals including fashion, electronics, mobiles, household goods, and more. We’re also preparing for the next generation of store formats—from express stores to experiential showrooms.

Lulu Digital aims to become the everyday shopping platform for millions—offering scheduled and on- demand delivery, cross category convenience, personalization at scale, and regional relevance at global standards.

Role Overview

Data Analyst – Supply Chain,

Key Responsibilities

• Build data models and dashboards so business teams can monitor KPIs like fill rate, OTIF, inventory days, and logistics cost.
• Automate recurring reports and ensure data accuracy so stakeholders have timely, reliable views of supply chain performance.
• Work with operations, supply chain, and business teams to translate business questions into analyses that highlight trends, bottlenecks, and opportunities.

Qualifications & Skills

• Strong SQL for querying, aggregating, and joining large operational datasets; basic to intermediate Python (pandas, visualization) is a plus.
• Hands-on experience with a BI tool such as Power BI, Tableau, or Looker Studio for modelling, DAX/calculations, and building intuitive visuals.
• Good understanding of reporting design, data visualization best practices, and comfort presenting insights to non-technical stakeholders.
• 0–3 years of experience in supply chain or logistics data analyst roles, preferably in FMCG, retail/ecommerce/q-commerce, or consulting.
• Domain familiarity (basic supply chain concepts, KPIs, Demand planning, inventory planning)