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MRJ Recruitment

Analytics Manager

London
£90k – £95k/yr
Posted about 19 hours ago
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Senior Manager, Product Analytics & Experimentation

Location: London (Hybrid – 2 days per week in office)
Salary: £90k - £95k + 30% Bonus

About the Role

We’re partnering with a high-growth, customer-centric digital business undergoing a significant period of transformation to find an experienced Senior Manager, Product Analytics & Experimentation.

This is a high-impact leadership role sitting at the intersection of Product, Commercial, Data and AI — shaping how data informs product strategy, experimentation and commercial decision-making across one of the UK’s leading consumer platforms.

You’ll lead a high-performing analytics team responsible for experimentation, behavioural insight and impact measurement, while driving a shift toward scalable, self-serve analytics and decision science across the organisation.

Working closely with Product, Engineering, Data Science and Commercial leadership, you’ll play a critical role in helping teams move faster, make smarter decisions and better understand both customer behaviour and commercial impact.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What You’ll Be Doing

  • Defining and scaling the Product Analytics & Experimentation function
  • Setting best practices for experimentation, behavioural analysis and impact measurement
  • Leading high-impact analysis and translating insight into commercially grounded recommendations
  • Building scalable self-serve analytics frameworks, tooling and processes
  • Defining product metrics frameworks including north star and guardrail metrics
  • Supporting evaluation and measurement of AI-driven and algorithmic product features
  • Partnering closely with Product, Commercial, Engineering and Finance leadership
  • Influencing roadmap prioritisation and investment decisions through evidence-based insight
  • Leading and developing a high-performing team of analysts

What We’re Looking For

  • Proven experience leading Product Analytics or commercial analytics teams
  • Strong background within digital product, eCommerce or consumer environments
  • Deep expertise in experimentation, A/B testing and causal thinking
  • Strong SQL skills and working knowledge of Python or similar tools
  • Experience translating data into commercial recommendations and strategic decisions
  • Strong stakeholder management and cross-functional leadership skills
  • Experience building scalable analytics frameworks and self-serve capabilities
  • Exposure to AI-driven products, recommendation systems or personalisation is highly beneficial

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Why This Role?

  • Opportunity to shape the future of Product Analytics within a major consumer platform
  • High visibility and influence across Product, Data and Commercial leadership
  • Lead experimentation and measurement strategy at scale
  • Work closely with AI and ML-driven product initiatives
  • Build and evolve a modern, scalable analytics capability within a fast-moving environment

If you’re a Product Analytics leader passionate about experimentation, behavioural insight and driving measurable commercial impact through data, we’d love to hear from you.

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Skills

Product Analytics
Experimentation
A/B Testing
Causal Thinking
SQL
Python
Stakeholder Management
Cross-Functional Leadership
Analytics Frameworks
Self-Serve Capabilities
AI-Driven Products
Recommendation Systems
Personalisation

Location

London, England, United Kingdom

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