Data Analyst, Moonpig
Product Analytics
+ Bonus
1-3 days a week in office
Online company for personalised cards, gifts and flowers
Be an early applicant
Online company for personalised cards, gifts and flowers
501-1000 employees
Be an early applicant
+ Bonus
1-3 days a week in office
501-1000 employees
Company mission
To help people connect and create moments that matter.
Role
Who you are
- Experience in product analytics, data analysis, or a similar role (typically 2–4 years)
- Familiarity with ecommerce or tools such as Google Analytics is a must have
- Strong SQL skills, including joins, aggregations, and window functions
- Practical experience using Python for analysis (e.g. pandas, notebooks) – nice to have
- Exposure to experimentation, including supporting or running A/B tests
- Ability to structure problems and draw meaningful insights from data
- Clear communication skills, with the ability to explain findings and support recommendations
- Comfortable collaborating with product, design, and engineering stakeholders
- Exposure to personalisation, recommendations, or dynamic pricing is a bonus
- Experience with tools such as Tableau, Mixpanel, Git, Snowflake, or BigQuery is advantageous
- Awareness of causal inference or statistical methods is helpful but not essential
What the job involves
- Join Moonpig Group as a Data Analyst (Product Analytics) and help shape better product decisions through data
- Working closely with Product, Design, and Engineering, you’ll explore customer behaviour, support experimentation, and uncover the “why” behind performance
- How will you do this
- You’ll explore how customers interact with our platform and help teams design experiments to test the impact of the changes we make on customer behaviour
- This is a great opportunity to combine analytical thinking with real product impact—translating data into clear, actionable recommendations that improve how our products perform and how customers experience them
- You’ll also continue to grow your technical toolkit, developing skills in Python, modelling, and causal inference over time
- Support product decision-making by analysing performance, identifying patterns in user behaviour, and contributing to data-informed recommendations
- Contribute to experimentation by helping design, run, and analyse A/B tests, ensuring results are robust and clearly communicated
- Explore and explain drivers of customer behaviour, including conversion and retention, using appropriate analytical techniques
- Support evaluation of AI, recommendation, and personalisation features alongside Data Science and Engineering teams
- Apply analytical and statistical methods using SQL and, where appropriate, Python to explore data and test hypotheses
- Contribute to scalable analytics practices by improving documentation, queries, and reusable analysis
- Conduct behavioural analysis (funnels, cohorts, retention, LTV) to support product insights and recommendations
- Apply causal thinking (with guidance), using experimental and quasi-experimental approaches where appropriate
- Use modern analytical workflows, including AI tools, to improve productivity while maintaining critical thinking
Application process
- Recruiter screening call
- 1st stage interview – 45 minutes
- 2nd stage interview – 90 minutes (technical/task assessment)
- 3rd stage final interview – 30 minutes (cultural/behavioural assessment)
Salary benchmarks
Our take
When Moonpig was founded in 2000, it bought into the idea that a personalised gift is always more meaningful, whether sent from the sofa, the commute, or the gym. Customers quickly bought into this vision, and Moonpig saw rapid growth culminating in its 2011 acquisition by Photobox for £120M.
Since then, Moonpig has seen continued success. Through expansion into new products such as flowers (Moonpig is now a top-3 online flower seller) and the development of its own app, Moonpig has established its place within the market for personalised gifts.
And it doesn't plan on slowing down anytime soon, as it looks to expand even further. Recent innovations have included the introduction of giant cards, and the company has also secured the ability to create exclusively branded ranges alongside Disney and Warner Bros. This commitment to innovation positions Moonpig to capture even more market share and strengthen its leadership in the industry.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Annual reviews
- Attractive annual bonus scheme - with increased earning potential based on business and individual performance
- Pension scheme where we match up to 5%
- Referral scheme with cash bonus available
- Interest-free travel loan
- Sharesave Plan - Save as you earn
- Generous staff Moonpig, Red Letter Days and Buyagift products
- Private medical insurance
- Private dental plan
- Life assurance paying 4x your salary
- Eye care vouchers
- Cycle to work scheme
- Free access to 24h mental health and wellbeing resource as well as one to one therapy sessions via Spill
- Dog-friendly offices
- Access to a broad range of training workshops and courses
- Technical and professional qualifications policy, allowing individuals to apply for a more formal professional qualification, using allocated individual allowance
- Career Conversations with your manager to create your Career Development Plan
- 25 days’ holiday plus 1 day per year of service (up to 30 days)
- Growing Your Family - 8 weeks paid supporting caregiver leave and 24 weeks full pay primary caregiver leave (based on qualifying criteria)
- Flexible working opportunities based on our Ways of Working - inclusive of Hybrid and Remote
- Summer Hours - We finish at 4pm on Friday's during the months of June, July and August
- Volunteering - 1 day - the equivalent of 8 hrs of time to give back - through a chosen charity or our MP Group Foundation
- Matched Funding Scheme - This scheme provides colleagues with a fundraising allowance to support causes close to their hearts
Company HQ
Farringdon, London, UK
Leadership
Catherine Faiers
(CEO)Previously Non-Exec Director at Allegro and COO of Auto Trader and Addison Lee. Was also Corporate Development Director at Trainline and a Director at DC Advisory.
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