Use Google Analytics (GA4) and Google Tag Manager to support digital analytics queries, including setting up and validating event tracking across web and product surfaces
Perform ad-hoc data extractions and analysis across digital and product data sources using SQL, building analysis-ready tables that answer client and internal queries at pace
Analyse product usage data feature adoption, user journeys, retention and churn signals
Connect digital acquisition data to product engagement metrics, building the analytical thread from first touchpoint through to long-term user value
Support BI and reporting deliverables building and maintaining dashboards in Looker, Tableau or Power BI that serve both digital and product stakeholders
Design and evaluate A/B tests and experiments across digital and product surfaces, bringing statistical rigour to decisions that are currently made on instinct
Work collaboratively within the analytics team supporting QA of code and analysis outputs, sharing knowledge, and contributing to a culture of high analytical standards
Contribute to the team's knowledge management infrastructure, including documentation of analytical approaches and outputs in shared systems

Good hands-on analytics experience across digital and/or product disciplines, with evidence of working across multiple data sources and client or stakeholder environments
Strong experience of Google Analytics (GA4) and Google Tag Manager for digital measurement and tracking experience or equivalent also considered
Confident SQL skills able to independently query, extract and shape large, unstructured datasets without relying on a data engineer for routine requests
Excellent business problem-solving skills a track record of developing creative analytical solutions and telling a clear, convincing story with data that drives commercial decisions
Strong communication and presentation skills able to translate analytical findings clearly for both technical and non-technical audiences, from engineering teams to senior stakeholders
Structured and methodical working practices rigorous about QA, documentation and reproducibility; picks up new tools, data environments and analytical contexts quickly
Understanding of commercial context able to connect analytical outputs to business value, and frame recommendations in terms of impact rather than just insight
Collaborative team player good interpersonal skills, comfortable supporting colleagues with QA and peer review, and willing to share knowledge openly within the analytics team
AI curious and ready to embrace opportunities
A growth mindset

Nice to have:

Degree in a numerical or analytical discipline (e.g. Mathematics, Statistics, Economics, Computer Science, Engineering) or equivalent practical experience
Experience applying advanced analytics methodologies such as experimentation (A/B testing), forecasting solve business problems
Experience with product analytics platforms such as Amplitude, Mixpanel or Heap, including funnel analysis, cohort analysis and retention modelling
Experience of implementing CMP tools such as OneTrust, Cookiebot

Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays)
Day off (on or in the week of) your birthday
Pension eligibility, up to 5% matched contributions
Private healthcare
Life assurance
Enhanced maternity and enhanced paternity and shared parental leave
Cycle to work schemes
Gym & retail discounts
Regular social events/activities
A range of other benefits from our flexible benefits package

Digital Analyst

Key skills