Senior Data Analyst
Role details
Job location
Tech stack
Job description
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 across, challenging and influencing decisions through data-informed recommendations, particularly when evaluating product changes and identifying new opportunities for improvement. You'll have the autonomy to influence and have your voice and data be heard.
Youâll 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. Youâll 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, youâll play a key role in embedding Growth and Product Analytics principles, fostering a culture of data-driven thinking and knowledge sharing across the discipline. Youâll drive this through impactful initiatives such as training, workshops, and the development of robust frameworks that enable consistent and scalable analytics practices.
You might believe that a passion for cars is a requirement, but guess what? Itâs not! At Autotrader, youâre welcome just as you are.
Requirements
- 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 (eg. Bayesian, Frequentist) and predictive analytics is highly beneficial â aware of these things
Benefits & conditions
Weâre offering a salary of £50,000 â £70,000, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.
You'll have 28 days holiday per year, and that's in addition to bank holidays and half day closures on Christmas and New Year's Eve.
Thatâs not all. You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.
We always want to give you the support you need and help prioritise your wellbeing, thatâs why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.
On top of all that, our hybrid model, Connected Working, combines the best of both worlds â office and home working. Youâll have two fixed weekly office days for team collaboration and one more of your choice to suit your work-life balance.