At a Glance
- Tasks: Build data pipelines and transform data to empower the education sector.
- Company: Join Tes, a leader in educational data transformation.
- Benefits: Up to £57,000 salary, 25-30 days leave, and modern office perks.
- Other info: Enjoy a hybrid work model and excellent career development opportunities.
- Why this job: Make a real impact in education while developing your analytics skills.
- Qualifications: Strong SQL skills and experience with data tools like dbt and BI software.
The predicted salary is between 57000 - 57000 £ per year.
Department: Data & Insights
Location: Sheffield or London
Working Pattern: Hybrid, includes 3 days each week in the office
Contract Type: Full time, permanent
Salary: Up to £57,000 per annum
Role overview
As an Analytics Engineer at Tes, you will be an instrumental part of the evolution of our data transformation journey. We’re changing the way that Tes utilises its data to empower our business to positively impact the education sector. You’ll work closely with our wider data team, as well as with a wide range of our business stakeholders to truly understand the requirements for our data products.
Key Responsibilities
- Data Engineering & Modelling: Build and maintain robust data pipelines and transformation logic, ensuring data is clean, reliable, and ready for analysis and consumption
- Stakeholder Collaboration: Work closely with business teams to understand requirements, identify pain points, and deliver data solutions that meet real business needs
- Analysis & Insight Generation: Explore and analyse datasets to identify trends, patterns, and actionable insights, communicating findings clearly and effectively
- Data Products & Visualisation: Develop and support scalable data models and contribute to dashboards and reporting solutions that enable self‑serve analytics, including conversational analytics
What will you need to succeed?
- Strong SQL skills with demonstrable real‑world experience
- Hands‑on experience with dbt and modern ELT/ETL tools (e.g. Fivetran)
- Experience building and maintaining data pipelines and transformation layers
- Proven ability to work with stakeholders to gather and translate requirements into technical solutions
- Strong analytical and problem‑solving skills, with the ability to derive meaningful insights from data
- Experience with BI and visualisation tools (e.g. Looker, Power BI, Tableau)
- Ability to communicate effectively with both technical and non‑technical audiences
- Agile mindset, with experience delivering iterative, value‑driven solutions
- Python / R Product analytics experience
What do you get in return?
- 25 days annual leave rising to 30
- State of the art offices
- Access to a range of benefits via My Benefits World
- Free eye care cover
- Life Assurance
- Cycle to Work Scheme
- EAP (Employee assistance programme)
- Quarterly Tes Socials
- Access to an extensive Learning and Development menu
Analytics Engineer employer: Tes Global
At Tes, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Sheffield or London. As an Analytics Engineer, you'll enjoy a hybrid working pattern, competitive salary, and a wealth of benefits including generous annual leave, state-of-the-art offices, and extensive learning and development opportunities, all while contributing to meaningful projects that positively impact the education sector.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Tes on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving SQL, dbt, or any BI tools. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for practical tests. Use platforms like StudySmarter to refine your SQL and data modelling abilities before the big day.
✨Tip Number 4
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 the Tes team.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Engineer role. Highlight your SQL skills, experience with data pipelines, and any relevant tools like dbt or Fivetran. We want to see how your background aligns with our needs!
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 at Tes. Be sure to mention specific projects or experiences that showcase your analytical skills.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real problems. Share examples of how you've collaborated with stakeholders to deliver data solutions that made a difference.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Tes Global
✨Know Your SQL Inside Out
As an Analytics Engineer, strong SQL skills are a must. Brush up on your SQL queries and be ready to discuss real-world scenarios where you've used them. Prepare to explain how you’ve built and maintained data pipelines, as this will show your hands-on experience.
✨Familiarise Yourself with Data Tools
Make sure you’re well-versed in dbt and modern ELT/ETL tools like Fivetran. Be prepared to talk about specific projects where you’ve used these tools to solve problems or improve processes. This will demonstrate your technical expertise and readiness for the role.
✨Showcase Your Stakeholder Collaboration Skills
The role involves working closely with business teams, so think of examples where you’ve gathered requirements and translated them into technical solutions. Highlight your ability to communicate effectively with both technical and non-technical audiences, as this is crucial for success.
✨Prepare for Analytical Challenges
Expect to discuss how you derive insights from data. Prepare to share examples of datasets you’ve explored, trends you’ve identified, and how your findings have impacted decision-making. This will showcase your analytical mindset and problem-solving skills.
