At a Glance
- Tasks: Build and maintain data pipelines, delivering actionable insights for data-driven decisions.
- Company: Fast-growing, purpose-driven organisation focused on data capability.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape a modern analytics platform and make a real impact with your skills.
- Qualifications: Strong SQL and Python experience, plus knowledge of cloud data platforms.
The predicted salary is between 58000 - 68000 £ per year.
We are working with a fast-growing, purpose-driven organisation delivering services at scale across the UK. They are currently investing heavily in their data capability and are looking for an Analytics Engineer to help build and shape a modern, in-house analytics platform.
The Role
You will play a key role in developing robust data infrastructure and delivering actionable insights. Working closely with cross-functional teams, you will translate business needs into scalable data solutions and help drive data-led decision making.
What You Will Do
- Build and maintain data pipelines using Python across multiple data sources
- Design and develop dimensional data models in a cloud data platform (e.g. Snowflake)
- Partner with BI teams to deliver insights via reporting tools
- Optimise performance, reliability, and cost efficiency of the data platform
- Implement best practices in CI/CD, data governance, and quality
- Collaborate with stakeholders across the organisation
What We Are Looking For
- Strong SQL and production-level Python experience
- Experience with cloud data platforms and data modelling tools (e.g. dbt)
- Solid understanding of ELT pipelines and data engineering principles
- Strong analytical thinking and problem-solving skills
- Excellent communication and stakeholder management
Why Join?
Analytics Engineer in Surrey employer: TRIA
Join a fast-growing, purpose-driven organisation in Woking that prioritises employee development and fosters a collaborative work culture. With a strong focus on investing in data capabilities, this role as an Analytics Engineer offers you the chance to shape a modern analytics platform while enjoying a competitive salary, hybrid working options, and opportunities for professional growth within a supportive team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Surrey
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and cloud platforms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. Practice common interview questions and be ready to discuss how you've tackled real-world data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Analytics Engineer in Surrey
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with SQL, Python, and cloud data platforms like Snowflake. 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 mission. Don’t forget to mention any relevant projects or experiences that showcase your analytical skills.
Showcase Your Projects:If you’ve worked on any cool data projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve building data pipelines or optimising data solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at TRIA
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've built data pipelines or worked with cloud platforms like Snowflake. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about times when you optimised performance or improved data quality. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Communicate Clearly
Since you'll be collaborating with cross-functional teams, practice explaining technical concepts in simple terms. Being able to translate complex data solutions into actionable insights for stakeholders is key, so think about how you can convey your ideas effectively.
✨Research the Company Culture
Get a feel for the organisation's values and mission. Understanding their purpose-driven approach will help you align your answers with what they’re looking for. Plus, it shows genuine interest, which can set you apart from other candidates!
