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Lead Product Analyst

Moonpig
London, GBR
Onsite
Discovered 2 weeks ago
Product analyticsCustomer analyticsSQLFunnel analysisJourney analysisCohort analysis

Full Job Posting

About the role

Lead Product Analyst role focused on using customer behaviour insights to improve digital experiences and product decisions.

Senior individual contributor partnering with Product, Data and Engineering teams.

The role supports product metrics, experimentation practices and evidence-based decision-making.

The position is based in London with hybrid working, 1–2 days per week.

Key responsibilities

  • Partner with Product teams to understand customer journeys, product questions and improvement opportunities.
  • Analyse behaviour using funnel, journey, cohort, segmentation and retention techniques.
  • Turn analysis into practical recommendations for product priorities.
  • Define, maintain and govern product and behavioural metrics.
  • Validate tracking and data quality and resolve issues with Data and Engineering colleagues.
  • Advise on hypotheses, success metrics, test validity and interpretation of experiments.
  • Create reusable measurement frameworks, documentation and resources.
  • Help teams use behavioural data and strengthen customer-focused analytical decision-making.

About you

  • Significant experience in Product Analytics, Customer Analytics or a similar role in a digital product or e-commerce environment.
  • Strong hands-on SQL skills and ability to investigate data, challenge assumptions and communicate findings.
  • Experience with behavioural analysis, product metrics governance and experimentation measurement.
  • Strong communication and collaboration skills, including partnering with Product and cross-functional teams.
  • Experience developing analytical frameworks, documentation or resources.
  • Able to work through ambiguity while focusing on customer behaviour and product outcomes.

Nice to have

  • Working knowledge of Python.
  • Experience with Mixpanel, Amplitude or similar product analytics platforms.
  • Familiarity with Snowflake, Tableau or comparable data platforms.
  • Experience with causal inference methods such as regression, matching, difference-in-differences or uplift modelling.
  • Experience evaluating recommendation, personalisation or AI-enabled product features.
  • Experience sharing analytical knowledge through coaching, documentation or communities of practice.

Benefits

  • The posting mentions competitive pay and bonuses, pension plans, staff discounts, private healthcare in the UK and mental health support.
  • The posting also mentions flexible working and time off.

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