At a Glance
- Tasks: Transform raw data into impactful insights and build scalable data models.
- Company: Leading online car-changing destination in Europe with a dynamic culture.
- Benefits: Hybrid working, competitive salary, generous leave, and wellness support.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Join a fast-growing company and make a real impact with your analytics skills.
- Qualifications: Strong SQL skills and experience with cloud data platforms required.
The predicted salary is between 60000 - 75000 £ per year.
OUR MISSION To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell, advertise and lease cars on its head. What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service. In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with almost 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350 million. And we’re a long way from done!
THE ROLE We’re looking for a Senior Analytics Engineer / BI Analyst to bridge the gap between data engineering and business insight. You’ll take ownership of transforming raw data into trusted, well modelled datasets and deliver impactful reporting that drives decision making across the business. This role combines strong technical data modelling skills with stakeholder-facing analytics and BI development.
WHAT YOU'LL BE DOING
- Design, build, and maintain scalable data models using dbt on Google Cloud Platform (BigQuery)
- Create and maintain dashboards and explores in Looker, enabling self-serve analytics
- Translate business requirements into clear data models, metrics, and visualisations
- Define and maintain core business metrics and data definitions in partnership with stakeholders and the wider analytics team
- Implement data quality checks, testing, and documentation within dbt
- Partner with stakeholders across all parts of the business including commercial, product, marketing, finance, and operations
- Optimise query performance and manage cost efficiency in BigQuery
- Mentor junior analysts and promote best practices in analytics engineering across the wider analytics team
WHAT YOU'LL NEED
- Previous experience in analytics engineering, BI or data analytics roles
- Strong SQL skills (expert level, performance tuning experience preferred)
- Experience working with modern cloud data platforms and distributed data warehouses (e.g. BigQuery, Snowflake)
- Proven experience with dbt (modelling, testing, documentation)
- Experience building dashboards in Looker (LookML is a strong plus)
- Solid understanding of data modelling concepts (star schema, dimensional modelling)
- Experience working with large-scale datasets
- Strong communication skills with the ability to work with non-technical stakeholders
NICE TO HAVE
- Hands-on experience with Google Cloud Platform, especially BigQuery
- Experience with orchestration tools (e.g. Airflow)
- Knowledge of data governance and data quality frameworks
- Exposure to reverse ETL tools (e.g. Hightouch)
- Familiarity with AI coding assistants and a habit of integrating them into day-to-day analytics workflows
SUCCESS IN THIS ROLE LOOKS LIKE
- Clean, well-documented, and trusted data models used across the company
- High adoption of Looker dashboards and self-serve analytics
- Reduced time-to-insight for stakeholders with the use of AI tooling to accelerate delivery
- Clear, consistent definitions of key business metrics
- Improved data reliability and fewer reporting discrepancies
WHAT YOU'LL OWN
- The transformation layer (dbt) and semantic layer (Looker)
- Core business metrics and reporting definitions
- Data quality and testing frameworks
- BI best practices and documentation standards
WHAT’S IN IT FOR YOU
- Hybrid working
- Competitive salary to fund that dream holiday to Bali
- Matched pension contributions for a peaceful retirement
- Share options - when we thrive, so do you!
- Vitality Private Healthcare, for peace of mind, plus eyecare vouchers
- Life Assurance for (even more) peace of mind
- Monthly coaching sessions with Spill - our mental wellbeing partner
- Enhanced holiday package, plus Bank Holidays 28 days annual leave
- 1 day for your wedding
- 1 day off when you move house - because moving is hard enough without work!
- For your third year anniversary, get 30 days of annual leave per year
- For your tenth year anniversary, get 35 days of annual leave per year
- Option to buy 3 extra days of holiday per year
- Work from abroad for a month
- Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies
- Bubble childcare support and discounted nanny fees for little ones
- The latest tech (Macbook or Surface) to power your gif-sending talents
- Up to £500/€550 home office allowance for that massage chair you’ve been talking about
- Generous learning and development budget to help you master your craft
- Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for
- Refer a friend, get paid. Repeat for infinite money
Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.
Senior Analytics Engineer employer: Carwow
As a Senior Analytics Engineer at our rapidly growing company, you'll be part of a dynamic team that values innovation and collaboration in the heart of the automotive industry. We offer a hybrid working model, competitive salary, and an extensive benefits package including enhanced holiday allowances, private healthcare, and generous learning opportunities, all within a culture that champions diversity and inclusion. Join us to not only advance your career but also to contribute to a mission that is reshaping how people engage with cars across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Carwow.
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We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Carwow, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Carwow. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Carwow
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Carwow!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
