At a Glance
- Tasks: Build and maintain data pipelines, delivering actionable insights for data-led decision making.
- Company: Fast-growing, purpose-driven organisation focused on data capability.
- Benefits: Competitive salary, bonus, hybrid work, and strong career progression.
- Other info: Dynamic role with excellent opportunities for personal and professional growth.
- Why this job: Shape a modern analytics platform and make a real impact in a collaborative environment.
- Qualifications: Strong SQL and Python skills, experience with cloud data platforms.
The predicted salary is between 58000 - 68000 £ per year.
We're working with a fast-growing, purpose-driven organisation delivering services at scale across the UK. They're 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’ll play a key role in developing robust data infrastructure and delivering actionable insights. Working closely with cross-functional teams, you’ll translate business needs into scalable data solutions and help drive data-led decision making.
What You’ll 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’re 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?
- Opportunity to build and shape a growing data function
- Work in a collaborative, fast-paced environment
- Strong focus on development and career progression
So, if this role sounds of interest, please apply today!
Analytics Engineer in Guildford employer: TRIA
Join a fast-growing, purpose-driven organisation in Woking that prioritises employee development and collaboration. As an Analytics Engineer, you'll have the unique opportunity to shape a modern analytics platform while enjoying a supportive work culture that values data-led decision making and offers strong career progression. With a competitive salary and bonus structure, this role is perfect for those seeking meaningful and rewarding employment in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Guildford
✨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’re always looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Analytics Engineer in Guildford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and cloud data platforms. We want to see how your skills align with the role of an Analytics Engineer, so don’t hold back on showcasing relevant projects!
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. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex data challenges in the past. We’re looking for strong analytical thinking, so let us know how you’ve used data to drive decisions!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at TRIA
✨Know Your Tech Stack
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your experience with cloud data platforms like Snowflake and tools like dbt. Being able to discuss specific projects where you've used these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about times when you optimised data pipelines or improved performance. This will demonstrate your analytical thinking and problem-solving abilities, which are key for an Analytics Engineer.
✨Communicate Effectively
Since you'll be collaborating with cross-functional teams, practice explaining technical concepts in a way that non-technical stakeholders can understand. Clear communication is essential, so consider how you can convey your ideas succinctly and effectively during the interview.
✨Understand the Company’s Vision
Research the organisation's mission and values. Be ready to discuss how your skills and experiences align with their goals, especially in building a modern analytics platform. Showing that you’re not just a fit for the role but also for the company culture can set you apart.
