Product & Experimentation Analyst — Data-Driven UX

Marks and Spencer; City Of London; On-site; GBP 45,000 - 60,000; Full time

Job summary

A leading UK retailer is seeking a Product & Experimentation Analyst to join their Online Insights Team. This vital role focuses on generating insights to enhance customer experiences across digital platforms. Candidates should have strong SQL and Python abilities, as well as experience with data visualization tools like Power BI. The role emphasizes collaboration, analytical rigor, and a proactive approach to improving online shopping performance. Attractive benefits include discounts, competitive holiday allowance, and well-being support.

Benefits

20% colleague discount

Competitive holiday allowance

Discretionary bonus schemes

Strong pension and life assurance

Tailored induction and training

Exclusive perks through M&S Choices

Market-leading family policies

24/7 wellbeing support

One paid volunteer day

Qualifications

• Strong analytical mindset with excellent problem-solving skills.
• Advanced SQL and Python skills.
• Experience with data visualization tools such as Power BI or Tableau.
• Excellent communication skills.

Responsibilities

• Generate actionable insights using SQL, Adobe Analytics, and Contentsquare.
• Identify customer friction points across the shopping funnel.
• Conduct detailed segmented funnel analyses.
• Evaluate product feature performance through experimentation.
• Diagnose performance trends and troubleshoot KPI movements.

Skills

Strong analytical mindset

Excellent problem-solving skills

Advanced SQL skills

Advanced Python skills

Experience with Power BI

Tools

SQL

Power BI

Adobe Analytics

Contentsquare

Job description

A leading UK retailer is seeking a Product & Experimentation Analyst to join their Online Insights Team. This vital role focuses on generating insights to enhance customer experiences across digital platforms. Candidates should have strong SQL and Python abilities, as well as experience with data visualization tools like Power BI. The role emphasizes collaboration, analytical rigor, and a proactive approach to improving online shopping performance. Attractive benefits include discounts, competitive holiday allowance, and well-being support.