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Retail Human Resources plc is seeking a Merchandising Analyst for a 4-5 month fixed-term contract in St Albans. The role is hybrid (2 days in the office, 3 days at home) with a salary of £45,000 plus benefits.
You'll analyse large data sets to influence commercial decisions, working closely with merchandising, trading and leadership teams. Essential skills include Advanced Excel, Power BI, SQL and Python, with experience in retail analytics.
Merchandising Analyst (Fixed Term Contract)
St Albans (Hybrid) £45,000 + Benefits
4-5 Month Fixed Term Contract 2 Days Office / 3 Days Home
An exciting opportunity has arisen for an experienced Merchandising Analyst to join a well-established retail business on a fixed-term basis, supporting a major systems implementation project.
This role is ideal for someone who has progressed from a Senior Assistant Merchandiser or Junior Merchandiser background and moved into a dedicated analytical position, using data to influence commercial decision-making across a retail environment.
Working closely with merchandising, trading and leadership teams, you'll be responsible for analysing large volumes of data and transforming insights into clear commercial recommendations that improve sales, margin, stock productivity and customer growth.
Key areas of analysis will include:
We're seeking a commercially minded analyst with experience gained within a retail or B&M environment who can confidently interpret complex data and provide actionable recommendations.
You'll have a proven track record of influencing trading decisions through analysis and insight, with examples of how your work has driven measurable business improvements.
This is a fantastic opportunity to join a successful retail business during an exciting period of change, playing a key role in supporting major projects while delivering valuable commercial insight.
Salary: £45,000 (2 days office, 3 days remote) Contract: 4-5 Month Fixed Term Contract
If you're an experienced merchandising professional with strong analytical skills and a passion for turning data into commercial results, we'd love to hear from you.
Reference: PH - 1004