Senior Data Analyst
Auto Trader
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
Über
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. Note:
This description preserves original language as provided. About Autotrader
Weâre the UKâs leading automotive marketplace, a heritage brand, and a tech darling of the stock market. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but weâre also the place for pretty much everything else on wheels, from e-bikes to caravans. In the automotive world, change is a constant, thatâs why we take our job of untangling the complex car-buying journey very seriously. At our core, weâre all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together. Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.
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 (eg. 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.
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Sprachkenntnisse
- English
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