Skip to content
Level

Moonpig

Lead Product Analyst

Moonpig is hiring a Lead Product Analyst in London, United Kingdom. Level rates it ; you can apply on Moonpig.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions product analytics, behavioural analysis and experimentation among its tools and skills.
  • Level classes it as a lead role.
  • Moonpig has 10 other open roles on Level.

AI in this role

Drive product decisions and experimentation through behavioural data analysis and metric governance for an online gifting platform.

product-analyticsbehavioural-analysisexperimentationsqldata-governance
We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles. We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care. We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive. If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷

Lead Product Analyst | 📍London – Hybrid (1–2 days per week) | 💰Competitive Salary + Benefits

About the Role

Are you passionate about turning customer behaviour into better digital experiences? As our Lead Product Analyst, you'll help shape how millions of customers interact with Moonpig by uncovering insights that drive smarter product decisions.

This is a senior individual contributor role where you'll partner closely with Product, Data and Engineering teams to understand customer behaviour, identify opportunities to improve the customer journey, and help teams measure the impact of the changes they make.

You'll play a key role in building confidence in our product metrics, improving experimentation practices, and enabling teams to make evidence-based decisions. If you enjoy solving complex problems, translating data into clear recommendations and helping others learn from customer behaviour, we'd love to hear from you.

Key Responsibilities:

  • Partner with Product teams to understand customer journeys, product questions and opportunities to improve the customer experience.
  • Conduct exploratory behavioural analysis using techniques including funnel, journey, cohort, segmentation and retention analysis.
  • Translate analytical findings into clear, practical recommendations that help teams prioritise what to improve next.
  • Define, maintain and govern product and behavioural metrics to ensure consistent, reliable measurement across teams.
  • Validate product tracking and data quality, working closely with Data and Engineering colleagues to resolve issues.
  • Provide guidance on experimentation best practice, including hypotheses, success metrics, test validity and interpretation of results.
  • Develop repeatable frameworks, documentation and resources that enable consistent measurement and learning across Product teams.
  • Build confidence across teams in using behavioural data to inform product decisions.
  • Collaborate with cross-functional partners to champion strong analytical thinking and customer-focused decision making.

About You:

  • Significant experience in Product Analytics, Customer Analytics or a similar role within a digital product or e-commerce environment.
  • Strong hands-on SQL skills with the ability to investigate data, challenge assumptions and communicate findings clearly.
  • Experience exploring customer behaviour through funnel, journey, cohort, segmentation or retention analysis.
  • Proven ability to define, maintain and govern product metrics to improve the quality and consistency of measurement.
  • Experience supporting experimentation through structured testing, robust measurement and thoughtful interpretation of results.
  • Excellent communication skills with the ability to explain complex analysis in a clear and practical way.
  • Strong collaboration skills and experience partnering with Product and cross-functional teams.
  • Experience creating analytical frameworks, documentation or resources that help teams measure products consistently.
  • Comfortable working through ambiguity while remaining focused on customer behaviour and product outcomes.

Nice to Have:

  • Working knowledge of Python.
  • Experience with product analytics platforms such as Mixpanel, Amplitude or similar.
  • Familiarity with Snowflake, Tableau or comparable data platforms.
  • Experience using causal inference techniques 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.
What's in it for you? We believe in empowering our team to do their best work. Enjoy: 💰 Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts. 💆🏽 Wellbeing First: Private healthcare (UK) and mental health support 🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working. 📈 Career Growth: Learning allowances, coaching & development programs. Want to know more? Explore our full benefits package: here Check out our podcast, tech blog and product blog to hear more about how we work and what we're building! Our Ways of Working: We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life. At the same time, face-to-face office time is an important and expected part of working at Moonpig Group. We believe regular in-person working supports collaboration, alignment, and effective decision-making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process. Moonpig Group's Commitment to Equality, Diversity, and Inclusivity: At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us. From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we. We’re proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place. We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress. Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves. If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so😊 - If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.

How we rate this

Lead Product Analyst at Moonpig rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product AnalyticsBehavioural AnalysisExperimentationSQLData Governance

Questions you could be asked

  1. Tell me about a project where product analytics was part of your work. What did you do?
  2. Tell me about a project where behavioural analysis was part of your work. What did you do?
  3. Tell me about a project where experimentation was part of your work. What did you do?
  4. Tell me about a project where sql was part of your work. What did you do?
  5. Tell me about a project where data governance was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Analytics, Behavioural Analysis, Experimentation, SQL, and Data Governance. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get a free CV reviewGet your CV rewrittenCheck your resume with the ATS resume checker

Get new remote AI jobs by email

One email a week with the new remote AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Other roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Moonpig

Related searches

Same AI level

Jobs by city