Senior Commercial Analyst

?? London | ?? Up to £60,000 + Bonus & Perks | ????? Hybrid (3 days in-office)

A leading UK retail brand is seeking a Senior Commercial Analyst to join their high-impact Analytics team. This is a fantastic opportunity for a commercially minded analyst to drive customer insights and growth for a fast-moving, customer-first business.

The Role

As the most senior individual contributor in the analytics function, you'll work across marketing, trade, and digital teams to deliver actionable insights and optimise performance across the full customer lifecycle. From acquisition and retention to forecasting and campaign planning, your work will directly shape business decisions.

Key Responsibilities

• Lead analysis on customer retention, segmentation, repeat rates, and lifetime value

• Identify trends in customer behaviour and commercial performance

• Collaborate with finance and marketing to inform planning, targeting, and strategic goal setting

• Build and maintain core reporting on customer profiles and marketing effectiveness

• Support key seasonal and campaign cycles with data-driven insights and forecasts

What We're Looking For

• Strong SQL and Excel skills

• Strong expertise across forecasting, modelling, trading and planning

• Exposure to core customer metrics (LTV, retention, segmentation, etc.)

• Background in retail, eCommerce, or physical product analytics preferred

• Ability to translate complex analysis into clear, strategic recommendations

• Understanding of seasonal trading cycles is a bonus

The Offer

• Salary up to £60,000 + targeted annual bonus

• 25 days holiday + bank holidays

• Generous product allowance & staff discount

• Hybrid working (3 days per week in North Acton office – Central Line access)

• Free on-site parking & subsidised café

• Health and wellbeing perks including virtual GP and retail discounts

Interview Process

1. Initial video interview (30 minutes)

2. Virtual technical assessment

3. In-person case study interview (2 hours, including dataset and storytelling exercise)