At a Glance
- Tasks: Build data pipelines and transform data to empower education through analytics.
- Company: Join Tes, a global leader in EdTech, making a difference in education.
- Benefits: Enjoy 25 days annual leave, a pension scheme, and access to learning resources.
- Other info: Hybrid working model with opportunities for career growth and professional development.
- Why this job: Make a real impact on education while developing your skills in a dynamic environment.
- Qualifications: Strong SQL skills and experience with data tools like dbt and BI visualisation.
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
At Tes we are on a mission to power schools and enable great teaching worldwide, by delivering EdTech solutions that give educators the tools to succeed. Our innovative and flexible software and services help teachers and school leaders worldwide to provide the best education to millions of children.
Role overview
As an Analytics Engineer at Tes, you will be an instrumental part of the evolution of our data transformation journey. 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?
Essential Skills:
- 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
Desirable Skills:
- AWS architecture
- Python / R
- Product analytics experience
- B2B SaaS / subscription experience
What do you get in return?
- 25 days annual leave rising to 30
- 5% pension after probation
- 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
Who are Tes?
Tes is a global Edtech leader, on a mission to empower schools and educators to deliver impactful, inspiring learning experiences worldwide. Our ecosystem is specifically designed to address the unique challenges faced by schools.
Join the hundreds of schools already benefiting from the Tes ecosystem. Together, we empower educators to achieve more, ensuring every student thrives in a supportive, well-managed learning environment.
Analytics Engineer in Sheffield employer: Tes Global
TES Global is an exceptional employer that fosters a creative and collaborative work environment in the vibrant city of Sheffield. With a strong focus on employee growth, we offer numerous opportunities for professional development alongside competitive benefits and a flexible hybrid working pattern. Join us to be part of a dynamic team dedicated to producing impactful video content that resonates with audiences across various platforms.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Sheffield
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We think you need these skills to ace Analytics Engineer in Sheffield
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!
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Craft a Tailored Cover Letter:For a full-time role at Tes Global, 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 Tes Global. 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 Tes Global
✨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 Tes Global!
✨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.
