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# Data Analyst

- **Company:** Harnham
- **Location:** Leicester, UK
- **Experience:** Starter
- **Salary:** £91,000.0 - £104,000.0
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Data Visualization, Python (Programming Language), Power BI, SQL Databases
- **Published:** September 11, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-analyst/57331824

## About the Role

* Strong experience using Power BI for reporting and data visualisation.
 * Strong SQL development and data analysis capability.
 * Experience working in a Data Analyst position with a focus on operational and ad hoc analysis.
 * Ability to investigate business issues and translate data into actionable insights.
 * Experience analysing stock, inventory, warehousing, or supply chain data is highly desirable.
 * Retail sector experience is preferred.
 * Python experience for analysis is advantageous.

## Description

This is an excellent opportunity for a Data Analyst to join a well-established retail organisation on an initial 3-month contract. The role offers a varied workload, combining operational analysis, ad hoc business requests, and stock-related investigations, with the opportunity to deliver meaningful insights that support day-to-day business performance.
The Company
They are a recognised retail business with a strong focus on data-driven decision-making. Following changes to their reporting structure, individual business teams now take ownership of operational reporting and analysis, creating a need for additional analytical support. The organisation is looking for a contractor who can quickly add value by providing actionable insights across a range of operational and commercial areas.
The Role and Deliverable

 * Deliver operational and commercial analysis to support business decision-making.
 * Respond to ad hoc data requests from internal teams and external partners.
 * Investigate and analyse stock-related data, including upcoming stock take activities.
 * Produce reporting and visualisations using Power BI.
 * Write and develop SQL queries to extract, manipulate, and analyse data.
 * Provide analytical support across areas such as stock performance, banking data, delivery KPIs, and operational investigations.


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