Data Analyst — Operations & Supply Chain

SPORTLUX; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

SPORTLUX, Dubai-based fast-growing fashion group, seeks a Data Analyst to turn raw ERP and eCommerce data into actionable reporting, KPIs and cost visibility. You will build dashboards, baseline supply chain metrics, and automate reporting using AI/LLM tools daily.

You will own data governance for onboarding new B2B customers and SKUs, work with Microsoft Dynamics 365 Business Central, WMS and connected platforms, and help guide operational decisions with insights.

Qualifications

• 5–7 years of experience as a data analyst, business analyst, supply chain analyst or operations analyst in retail, eCommerce, fashion, FMCG or logistics.
• Demonstrable daily hands-on use of AI/LLM tools in a professional context.
• Expert-level Excel modelling and SQL proficiency for querying operational databases.
• Experience with BI tools such as Power BI or Tableau.
• Proven experience working with ERP data, with Microsoft Dynamics 365 Business Central as a distinct advantage.
• Strong scripting skills in Python or equivalent are a strong advantage.
• Bachelor’s degree in Industrial Engineering, Data Science, Statistics, Economics, Supply Chain, Information Systems or a related discipline.

Responsibilities

• Build, automate and maintain the operational reporting suite and self-serve dashboards.
• Define, baseline and track supply chain KPIs including OTIF, order cycle time, dock-to-stock, pick/pack accuracy, inventory accuracy, and cost per unit.
• Build and maintain visibility of the logistics and operational cost base, validate 3PL invoices, and identify cost-saving opportunities.
• Extract, model and reconcile data from Microsoft Dynamics 365 Business Central and connected WMS and eCommerce platforms.
• Own operational data governance for new B2B customer and SKU onboarding.
• Use AI and large language model tools daily to accelerate analysis, generate and debug code, automate reporting, and extract structured data from unstructured documents.

Skills

AI/LLM tools usage

SQL proficiency

Python scripting

Excel modelling

Education

Bachelor's degree in Industrial Engineering, Data Science, Statistics, Economics, Supply Chain, Information Systems or related

Tools

Excel

Power BI

Tableau

Microsoft Dynamics 365 Business Central

Python

Job description

We are a fast-growing international fashion group operating a portfolio of luxury, premium and streetwear brands across EMEA and APAC, with regional headquarters in Dubai. The business runs a hybrid B2B and B2C model and is in an active transformation phase with a new ERP landscape (Microsoft Dynamics 365 Business Central). We are seeking a Data Analyst to turn raw system data into reporting, KPIs, cost visibility, and operational decisions.

Key Responsibilities:

• Build, automate and maintain the operational reporting suite and self-serve dashboards.
• Define, baseline and track supply chain KPIs including OTIF, order cycle time, dock-to-stock, pick/pack accuracy, inventory accuracy, and cost per unit.
• Build and maintain visibility of the logistics and operational cost base, validate 3PL invoices, and identify cost-saving opportunities.
• Extract, model and reconcile data from Microsoft Dynamics 365 Business Central and connected WMS and eCommerce platforms.
• Own operational data governance for new B2B customer and SKU onboarding.
• Use AI and large language model tools daily to accelerate analysis, generate and debug code, automate reporting, and extract structured data from unstructured documents.

Qualifications & Experience:

• 5–7 years of experience as a data analyst, business analyst, supply chain analyst or operations analyst in retail, eCommerce, fashion, FMCG or logistics.
• Demonstrable, daily, hands‑on use of AI/LLM tools in a professional context.
• Expert-level Excel modelling and SQL proficiency for querying operational databases.
• Experience with BI tooling such as Power BI or Tableau.
• Proven experience working with ERP data, with Microsoft Dynamics 365 Business Central as a distinct advantage.
• Strong scripting skills in Python or equivalent are a strong advantage.
• Bachelor’s degree in Industrial Engineering, Data Science, Statistics, Economics, Supply Chain, Information Systems or a related discipline.