At a Glance
- Tasks: Shape marketing data to power smarter campaigns and better decisions.
- Company: Join the RAC, a trusted name with over 15 million members.
- Benefits: Competitive salary, flexible working, and 25 days annual leave.
- Other info: Dynamic environment with a focus on personal growth and development.
- Why this job: Make a real impact by bridging technical and non-technical teams.
- Qualifications: Experience with Snowflake, SQL, and building reporting solutions.
The predicted salary is between 35000 - 45000 £ per year.
Join the RAC as an Analytics Engineer and shape how marketing data is used to power smarter campaigns and better decisions for our members. You’ll be part of the Insight team, working right at the centre of how the RAC uses data. This is a hands‑on role with real business impact. You won’t just build data solutions, you’ll work closely with marketing and commercial teams, helping them understand what’s possible and guiding them towards better outcomes. It’s a great fit for someone who enjoys being proactive, bringing ideas to the table and helping improve how things are done. You’ll act as a bridge between technical and non‑technical teams, making sure data works for the business, not the other way around.
What you’ll do:
- Build and maintain scalable data solutions using Snowflake, SQL and Python
- Support marketing and campaign teams by making data accessible, reliable and easy to use
- Work closely with stakeholders to understand requirements and turn them into practical solutions
- Take a proactive approach to improving how data is used across promotions and campaigns
- Develop and support Power BI dashboards and reporting
- Help non‑technical teams understand data and guide them towards the right solutions
- Assess the impact of changes to existing data models and systems
- Contribute to scalable, efficient solution design with a focus on long‑term value
- Support testing across solutions, including UAT
- Work with internal teams and external partners to support data integrations
What you’ll need:
- Strong experience working with Snowflake or SQL in a data or analytics engineering role
- Experience building reporting solutions (e.g. Power BI)
- Experience in a marketing, campaign or customer data environment
- Confidence communicating technical ideas to non‑technical stakeholders
- A proactive mindset, with the ability to influence and drive improvements
Location & Salary:
Location: Bradley Stoke, Bristol (hybrid – 2 days in the office, 3 from home)
Salary: Aligns with market and experience
Benefits:
- Earnings that motivate – competitive salary plus conditional annual bonus
- Tools to drive your future – free RAC breakdown cover from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months
- Time off that matters – 25 days annual leave plus bank holidays, alongside family leave and flexible working options
- Financial security & perks – pension scheme with up to 6.5% matched contributions and life assurance cover up to 4x salary (with options to increase)
- Wellbeing that works for you – 24/7 confidential support service available for you and your household
- Extras that make a difference – access to Orange Savings, our colleague discount portal, plus our Colleague Share Scheme after probation
Why the RAC?
For more than 128 years, we’ve been keeping drivers moving, and today we’re trusted by over 15 million members. We’re also trusted by our people, with a 4.5-star Glassdoor rating showing that the RAC is a place where support, ambition, and opportunity go hand in hand. We welcome people from every background, value every voice, and back your growth every step of the way. At the RAC, you can bring your full self to work and we’ll be with you every step of the way to help you grow and develop your career.
Analytics Engineer in Bristol employer: RAC
The RAC is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Analytics Engineer role based in Bradley Stoke, Bristol. With a strong focus on employee growth, competitive benefits including flexible working options, and a commitment to supporting diverse backgrounds, the RAC empowers its team members to make a real impact while enjoying a healthy work-life balance. Join us to be part of a trusted organisation that values your contributions and encourages your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RAC!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineer at RAC.
✨Leverage Professional Networks
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 RAC.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at RAC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Engineer in Bristol
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at RAC, 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 RAC. 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 RAC
✨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!
✨Showcase Your Projects
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 RAC!
✨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.
