Finance Analyst – Up to £47,000 (+ c.10% discretionary bonus)
Leicester – Hybrid (3 days per week in office)
The Company
A leading UK retailer with a national store network and a major online presence. Alongside its own ranges, the business partners with third‑party brands via its multi‑brand ‘Label’ division. You’ll join the finance analytics team that supports this high‑growth area, providing data‑driven insight to the Home and Fashion categories.
The Role
This is a data‑heavy, commercially focused role reporting to a Finance Manager within the multi‑brand (Label) team. You’ll use advanced SQL and data visualisation (Power BI preferred) to turn large, complex datasets into clear insights for senior stakeholders. Day‑to‑day you’ll analyse sales performance, promotions, inventory and supply‑chain signals to explain ‘what happened’ and ‘what to do next’—helping the business optimise revenue, margin and availability across categories.
Key Responsibilities
* Own the extraction, transformation and analysis of large datasets using SQL (and Databricks/Python where appropriate).
* Build and maintain automated Power BI dashboards and ad‑hoc reports for Home and Fashion stakeholders.
* Assess promotional performance and category trading: quantify uplift, cannibalisation, halo effects and ROI; recommend next actions.
* Blend sales, warehouse and supply‑chain data to flag risks/opportunities (e.g., availability, fulfilment bottlenecks, overstocks).
* Translate complex analysis into concise, visual stories; present findings to finance and commercial leaders.
* Partner with category managers and the wider multi‑brand team to shape trading and pricing decisions.
* Support requirements gathering for a new finance system implementation; validate data structures and ensure reporting continuity.
* Champion data quality, documenting logic/definitions to drive consistent insight across the function.
Your Skills & Experience
Essential:
* 2+ years in a data/analytics, finance analytics or commercial insight role.
* Advanced SQL (able to write complex joins/CTEs/window functions on large tables).
* Data visualisation and dashboarding (Power BI preferred; Tableau considered).
* Strong stakeholder communication—able to influence non‑technical audiences with clear, actionable recommendations.
* Evidence of turning analysis into commercial outcomes (add examples on your CV: revenue, margin, availability, cost savings).
Nice to have:
* Databricks and/or Python for data processing/automation.
* Retail or consumer background; understanding of trading, promotions and supply chain KPIs.
* Exposure to finance/reporting processes (e.g., KPI packs, month‑end, budgeting/forecasting).
The Benefits
* Salary up to £47,000 (sweet spot £44–45k) plus c.10% discretionary bonus.
* Hybrid working (3 days per week in the Leicester office).
* High visibility across Home & Fashion trading teams and Finance leadership.
* Real ownership of dashboards, analytical models and stakeholder relationships.
* Clear progression pathways within a well‑resourced analytics function.
Interview Process
* Stage 1: 30‑minute with the Finance Manager (fit, communication, experience).
* Stage 2: On‑site technical interview (SQL assessment) with the Financial Controller; discussion of your approach to real trading problems.
How to Apply
Please send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page. Shortlisting will prioritise candidates who evidence strong SQL, Power BI and stakeholder‑led commercial impact.
Keywords
Finance Analyst, Commercial Insight, SQL, Power BI, Databricks, Python, Retail Analytics, Promotions, Category Trading, Supply Chain, Dashboarding, Leicester, Hybrid.