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Commercial Finance Analyst

Job in Knowsley, Kirkby, Merseyside, TS9, England, UK
Listing for: Matalan
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Knowsley

About the role

As a Data Analyst, you will play a key role in shaping strategic decision‑making by transforming complex data into meaningful insights that drive business performance and operational excellence. This is a newly created role offering the opportunity to build reporting frameworks, analytical processes, and data solutions from the ground up, making a significant impact across the business.

Working closely with senior stakeholders, you will provide data‑driven recommendations that influence store investment decisions, store refresh strategies, acquisitions, and operational efficiencies across retail, transport, and distribution operations. You will be responsible for developing automated reporting solutions, analysing large datasets, and delivering clear, commercially focused insights that support profitability and long‑term growth.

The role will also focus on driving innovation through AI‑powered analytics, predictive modelling, and automation, helping the business stay ahead of industry trends and emerging technologies. You will challenge existing processes, identify opportunities for improvement, and help embed a strong data‑led culture across the organisation.

Key responsibilities
  • Developing and automating reporting solutions using Power BI and other analytical tools.
  • Analysing store performance, commercial, financial, and distribution centre data to identify trends and opportunities.
  • Partnering with senior leadership to influence strategic decision‑making.
  • Evaluating KPIs, customer behaviour, store investments, and operational performance.
  • Delivering advanced analysis on trials, investments, and strategic initiatives.
  • Supporting operational efficiency improvements and risk management through data insights.
  • Leveraging AI and automation to enhance forecasting and predictive analytics.
  • Producing executive‑level reports and presentations.
  • Supporting and mentoring junior analysts where required.
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