This is an excellent opportunity for a Data Analyst contractor to join a large retail organisation during a critical period of operational analysis.
You will play a key role in investigating stock and logistics data, reconciling operational discrepancies, and delivering reporting that supports business decisions across finance and supply chain functions.
The Company
They are a leading UK retailer operating across a large and complex business environment.
With significant volumes of operational, stock, and financial data, analytics plays a critical role in supporting business performance and decision-making.
Their Finance Operations Analytics team provides reporting, investigations, and insight to stakeholders across multiple functions.
This contract opportunity offers exposure to a fast-paced, data-rich environment where your analysis will have a direct impact.
The Role and Deliverables
- Analyse operational, stock, warehouse, logistics, and finance data to support business performance.
- Investigate stock variances, inventory discrepancies, promotional performance, and banking data issues.
- Perform stock reconciliation and root cause analysis to identify and explain operational inconsistencies.
- Develop and maintain Power BI dashboards and reports to communicate findings to stakeholders.
- Support KPI reporting across supply chain, deliveries, and operational performance.
- Respond to ad hoc investigation requests from business stakeholders and provide analytical support to the wider team.
Your Skills & Experience
- Strong experience using SQL for data extraction, investigation, and data analysis.
- Proven experience building reports, dashboards, and visualisations in Power BI.
- Experience conducting stock, inventory, warehouse, logistics, or supply chain investigations.
- Ability to reconcile large datasets and identify the root cause of data variances.
- Strong analytical, problem-solving, and stakeholder communication skills.
- Python experience is advantageous.
- Previous experience within a retail environment would be beneficial.