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 holiday package, and private healthcare.
- 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 like BigQuery.
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 & 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 Group
As a leading online car-changing destination in Europe, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee well-being and growth. With competitive salaries, generous holiday allowances, and a commitment to professional development, our team enjoys the flexibility of hybrid working and the opportunity to make a meaningful impact in the automotive industry. Join us in a vibrant environment where innovation thrives, and your contributions are valued.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially any data models or dashboards you've built. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling concepts. Be ready to discuss how you've tackled challenges in previous roles and how you can bring value to our team. Practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission to revolutionise the car-buying experience.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Analytics Engineer role. Highlight your SQL skills, experience with dbt, and any relevant projects that showcase your data modelling expertise. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics engineering and how you can contribute to our growth. Don’t forget to mention your experience with cloud platforms and BI tools like Looker.
Showcase Your Projects:If you've worked on any cool projects or dashboards, make sure to include them in your application. We love seeing real examples of your work, especially if they demonstrate your ability to turn raw data into actionable insights.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Carwow Group
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling concepts, especially star schema and dimensional modelling. Be ready to discuss how you've applied these in previous roles, as this will show your technical prowess and understanding of the role's requirements.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL expertise during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice performance tuning and be ready to explain your thought process clearly.
✨Familiarise Yourself with Looker and dbt
Since you'll be working with Looker and dbt, it’s crucial to have hands-on experience with these tools. Bring examples of dashboards you've built or data models you've created, and be prepared to discuss how they impacted decision-making in your previous roles.
✨Communicate Effectively with Stakeholders
Strong communication skills are key for this role. Think of examples where you've successfully translated complex data insights into actionable business strategies for non-technical stakeholders. This will highlight your ability to bridge the gap between data and business needs.
