Senior Data Analyst in Manchester

As a Senior Data Analyst (Product) you will have the opportunity to support building out our Consumer Growth Analytics function. You will be the authority on how the Autotrader platform is working for our users. You will work closely and seamlessly with senior stakeholders, challenging and influencing decisions through data-informed recommendations, particularly when evaluating product changes and identifying new opportunities for improvement. You will play a pivotal role in shaping and advancing our Product Analytics capability.

A key part of your role will be to understand and communicate movements in audience metrics across our marketplace, while establishing clear governance around them. You will be responsible for unifying strategic and tactical perspectives to generate evidence-backed insights across our product portfolio, as well as providing consultancy to individual product teams. As a valued member of our analytics community, you will play a key role in embedding Growth and Product Analytics principles, fostering a culture of data-driven thinking and knowledge sharing across the discipline. You will drive this through impactful initiatives such as training, workshops, and the development of robust frameworks that enable consistent and scalable analytics practices.

Responsibilities:

• Deep expertise in digital ecosystems, with the ability to go beyond analytics tools (e.g., Google Analytics, Adobe Analytics) to understand the complexities of cross-platform tracking and consumer behaviour across channels.
• Skilled at simplifying and articulating these complexities into clear, actionable insights and easy-to-digest outputs for diverse audiences.
• Proven experience in experimentation, whether through execution or enablement, driving data-informed decision-making.
• Experience delivering structured programs of work across teams and disciplines.
• Robust understanding of marketing influence on product performance, and the measurement frameworks used to assess impact.
• Competitor benchmarking experience, applying insights to inform strategic decisions.
• Proficiency in SQL, Python, or R, coupled with knowledge of ETL processes and foundational data engineering principles.
• Working knowledge of comparative statistics (e.g. Bayesian, Frequentist) and predictive analytics is highly beneficial.

Benefits:

• Salary of £50,000 – £70,000, plus an additional 10% of your salary awarded to you in shares each year. Shares vest in yearly instalments over the next three years; you may sell or keep them.
• 28 days holiday per year, in addition to bank holidays and half-day closures on Christmas and New Year’s Eve.
• Pension scheme with 7% employer contributions and 5% employee contributions.
• Comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and more.
• 24/7 online GP and dentist access, plus specialist support for assisted fertility, gender dysphoria, menopause, period care plans and related wellbeing resources.
• Hybrid working model (Connected Working) with two fixed weekly office days for collaboration and a third day of your choice to suit work-life balance.