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Senior Product Analyst

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: Twinkl Educational Publishing
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below

Location: Remote with a minimum of 6 yearly visits to our Sheffield HQ

Twinkl is on an exciting journey to redefine how we serve our global teaching community through data. We're building a world-class data function to power the next generation of our data platform, with modern tools and practices at our core and we're introducing new tools and concepts, elevating the business to a higher standard of Data Literacy.

As a Senior Product Analyst with a track record of using data to improve growth and funnel strategies, you will be a pivotal part of our dynamic Team of 20+ data professionals, helping to unlock the full potential of our extensive datasets, you will play a fundamental role in supporting the Product roadmap through data-driven insights. You will collaborate closely with Product teams to understand their objectives, analyse user behaviour, and identify opportunities for improvement.

Your expertise in product analytics and insight delivery will enable you to uncover user frictions, hidden patterns, measure product performance and make meaningful recommendations.

Here are just some of our Growth data projects you will be working on:
  • Build strong relationships with Product and cross-functional teams to understand business objectives and translate them into actionable analytical focus areas
  • Deliver deep insights and clear recommendations that shape the product roadmap and drive innovation, growth, and customer value
  • Identify and monitor key performance indicators (KPIs), developing strategies to improve them through data-driven experimentation and optimisation
  • Partner with Product Managers to conceptualise, prioritise, test, and launch new products and features based on data insights
  • Analyse A/B and multivariate tests to measure the impact of new features, content, and campaigns on user acquisition, engagement, and retention
  • Support digital analytics tracking by gathering requirements, raising implementation requests, and performing debugging and QA
  • Collaborate with Data Engineering teams to ensure data quality, define data requirements, and improve data collection processes
  • Independently troubleshoot tracking issues and elevate complex problems to technical specialists when needed
  • Stay current with developments in GCP, analytics tools, and trends in digital product and subscription businesses
But that's not all! Here at Twinkl, you'll also:
  • Lead the way with ownership, innovation, and a passion for making a difference
  • Go above and beyond, putting people first and exceeding expectations (because that's just how we roll)
  • Do the right thing, always, with trust, understanding, and transparency as your guiding lights
  • Be lovely – positivity, humility, and inclusivity are our superpowers!
What you can expect from us:
  • An environment that is supportive, and encourages innovation:
    Grow your expertise and explore new techniques and concepts!
  • Support for Growth and Development:
    Access in-house training sessions, covering key technical and soft skills
  • Collaboration and Encouragement as part of a team:
    Be part of Data Team Friday; a monthly data team get together to support learning and collaboration.
We look for the following skills and experience. But when we’re hiring for this role, if you don’t have some of the skills and experience listed below, don’t let that stop you from applying!
  • Shares our passion for Twinkl’s mission to support educators around the world
  • Has a minimum of 4 years' experience in a data or analytics role, ideally within an eCommerce or subscription-based business
  • Demonstrates a proven track record of analysing user behaviour by querying raw data from analytics platforms (e.g. GA4, Adobe Analytics) and delivering insights that drive measurable business outcomes in a fast-paced environment
  • Proficient in SQL and Big Query, with experience using data visualisation tools (we use Looker Studio and Tableau);
    Python is a plus but not essential
  • Deep understanding of key eCommerce and subscription metrics such as Sessions, Bounce Rate, Conversion Rate, Retention, Churn, LTV, and ARPU
  • Experience with DBT is beneficial
  • Experience working along side Product Engineering teams
  • Strategic thinker with a strong grasp…
Position Requirements
10+ Years work experience
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