Digital Analyst

Key Responsibilities

• 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

Skills, Knowledge and Expertise

• 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 

• 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 

Our culture and benefits

• We raise the bar
• We look out for each other
• We embrace our differences
• We shape a changing world
• We’re all in

• 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