At a Glance
- Tasks: Transform complex data into actionable insights and build scalable data pipelines.
- Company: Join the world's largest automotive service organisation, Cox Automotive.
- Benefits: Enjoy a hybrid work model, competitive salary, and a supportive team culture.
- Other info: Collaborate with a high-performing team and enjoy excellent career growth opportunities.
- Why this job: Make a real impact on automotive intelligence and drive innovation in data solutions.
- Qualifications: Strong SQL and Python skills, with experience in data transformation and analytics.
The predicted salary is between 40000 - 50000 £ per year.
Join Cox Automotive Europe’s Data Solutions team, where data sits at the heart of everything we do—from powering our Decision Engine platform to delivering vehicle intelligence and commercial insights across the business.
As an Analytics Engineer, you’ll operate at the intersection of data engineering, analytics, and data science, helping turn complex data into robust, production-ready datasets and pipelines. You’ll play a critical role in enabling faster decision-making, improving model performance, and driving innovation across multiple high-impact workstreams.
What You’ll Be Doing
- Build & Power Data Products
- Design and maintain scalable data pipelines supporting pricing, channel, and timing recommendation models
- Create reusable datasets and dbt models to accelerate analytics and product delivery
- Enable experimentation through A/B testing infrastructure and performance analysis
- Shape Vehicle Data Intelligence
- Develop enriched datasets across multiple European markets (e.g., France, Italy, Spain, Belgium)
- Integrate internal and third-party data sources (auction, RPI, and more)
- Support pricing, benchmarking, and valuation analytics capabilities
- Enable Data Science at Scale
- Collaborate with Data Scientists to productionise models and automate feature engineering
- Own the critical layer between raw data and model inputs
- Ensure data quality, lineage, and reproducibility across pipelines
- Drive Platform Excellence
- Work within a modern Databricks-based data platform
- Contribute to data governance, lineage, and documentation
- Partner with engineering and architecture teams on shared data initiatives
What We’re Looking For
- Essential Skills
- Strong SQL and Python experience
- Hands-on experience with modern data tooling (e.g., Databricks, dbt)
- Proven ability to build and maintain data transformation pipelines
- Solid understanding of data modelling principles
- Ability to translate complex business problems into reliable data solutions
- Experience working in a commercial or product-driven data environment
- Strong communication skills—able to engage technical and non-technical stakeholders
- Nice to Have
- Experience with automotive, marketplace, or pricing data
- Exposure to machine learning workflows and feature engineering
- Familiarity with experimentation and A/B testing frameworks
- Knowledge of data governance, lineage, and cataloguing
- Experience with Agile tools (Jira, Rally, etc.)
Why Join Us?
- Be part of a high-performing, 15-person Data Solutions team working across product, data science, and platform disciplines
- Work on high-visibility, strategic initiatives with real commercial impact
- Collaborate closely with senior stakeholders across product and data science
- Enjoy a culture of autonomy, curiosity, and technical excellence
Your Impact
This is a rare opportunity to shape the data foundations behind key strategic products. Your work will directly influence pricing decisions, product development, and the evolution of our data platform.
Apply now to help us build the data capabilities driving the future of automotive intelligence.
Analytics Engineer in Manchester employer: Cox Automotive
Cox Automotive Europe is an exceptional employer, offering a dynamic work environment where data drives innovation and decision-making. With a strong emphasis on collaboration, autonomy, and continuous learning, employees are empowered to grow their skills while contributing to impactful projects in the automotive sector. The hybrid working model in Manchester allows for flexibility, ensuring a healthy work-life balance while being part of a supportive team that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at Cox Automotive on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've built data pipelines or tackled complex data problems in the past. Show us your passion for data!
✨Tip Number 3
Don’t just talk about your technical skills; share stories that highlight your teamwork and communication abilities. We want to see how you engage with both technical and non-technical folks.
✨Tip Number 4
Finally, 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 team.
We think you need these skills to ace Analytics Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Engineer role. Highlight your SQL and Python experience, and any hands-on work with data tooling like Databricks or dbt. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our Data Solutions team. Don’t forget to mention any relevant projects or experiences that showcase your abilities.
Showcase Your Communication Skills:Since you'll be engaging with both technical and non-technical stakeholders, make sure to demonstrate your communication skills in your application. Use clear language and examples that show how you can bridge the gap between data and business needs.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Cox Automotive
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Familiarise yourself with modern data tooling like Databricks and dbt, as these are crucial for the role. Be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated complex business problems into reliable data solutions. Think about specific challenges you've faced and how you approached them, especially in a commercial or product-driven environment.
✨Communicate Effectively
Since you'll be engaging with both technical and non-technical stakeholders, practice explaining your work in simple terms. Highlight your strong communication skills during the interview by being clear and concise when discussing your experiences.
✨Demonstrate Your Collaborative Spirit
Cox Automotive values teamwork, so be prepared to talk about how you've collaborated with others, particularly Data Scientists and engineering teams. Share instances where your contributions helped drive platform excellence or improved data governance.
