At a Glance
- Tasks: Build data pipelines and deliver actionable insights using Python and cloud platforms.
- Company: Fast-growing, purpose-driven organisation focused on data capabilities.
- Benefits: Competitive salary, bonus, hybrid work, and strong career progression.
- Other info: Collaborative environment with a focus on professional development.
- Why this job: Shape a modern analytics platform and drive data-led decision making.
- Qualifications: Strong SQL, Python experience, and knowledge of cloud data platforms.
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
- Competitive benefits package
So, if this role sounds of interest, please apply today.
Analytics Engineer in Woking employer: TRIA
Join a fast-growing, purpose-driven organisation in Woking as an Analytics Engineer, where you'll have the opportunity to shape a modern analytics platform and drive data-led decision making. With a strong focus on employee development and career progression, you will thrive in a collaborative and dynamic environment, supported by a competitive benefits package that includes a 10% bonus. This role not only offers the chance to work with cutting-edge technology but also to make a meaningful impact across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Woking
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your SQL and Python expertise. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common analytics scenarios. Think about how you would approach building data pipelines or optimising performance. Being ready to discuss real-world applications will impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Engineer in Woking
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 be shy about 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, give examples of how you've tackled complex data challenges in the past. We’re looking for strong analytical thinking, so share those success stories that demonstrate your problem-solving prowess!
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 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. This will show that you’re not just familiar with the tools, but you can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about situations where you had to optimise performance or implement best practices in CI/CD. This will demonstrate your analytical thinking and ability to drive data-led decision making.
✨Communicate Clearly
Since you'll be collaborating with cross-functional teams, practice explaining technical concepts in a way that's easy for non-technical stakeholders to understand. This will highlight your excellent communication skills and show that you can bridge the gap between data and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they envision the role of an Analytics Engineer. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.
