Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain scalable analytics models to deliver trusted insights.
- Company: Join a global, design-led market leader in analytics.
- Benefits: Inclusive workplace, supportive culture, and skill development opportunities.
- Other info: Collaborate across teams and enjoy a dynamic, empowering environment.
- Why this job: Shape the future of analytics and influence data-driven decisions.
- Qualifications: Strong analytical skills, advanced SQL, and experience with modern ELT tools.
The predicted salary is between 30000 - 50000 £ per year.
We’re looking for an experienced Analytics Engineer to help shape our data foundations and deliver high quality, trusted insights across the business. You’ll design and maintain scalable analytics models, ensure data quality, and work closely with teams across Finance, Commercial, Operations, and IT to turn complex requirements into intuitive, reliable datasets. This role sits at the heart of our analytics function, balancing immediate reporting needs with long‑term data architecture, and ensuring our organisation can make confident, data driven decisions.
Key Responsibilities
- Design, build, and maintain analytics models that convert raw data into trusted, business-ready datasets.
- Own the full modelling lifecycle (staging → core → marts).
- Define and maintain consistent metrics, dimensions, and business logic.
- Implement testing, data quality checks, and SLAs to ensure reliability.
- Translate business requirements into scalable, well‑structured data solutions.
- Deliver self‑service datasets and support reporting/dashboards where needed.
- Continuously improve analytics engineering processes and standards.
- Provide robust data foundations to support strategic initiatives, including cost, pricing, and operational analytics.
What We Are Looking For
We’re seeking someone with strong analytical and technical capability, who enjoys solving complex data problems and can confidently partner with stakeholders across the business. You’ll bring the ability to design robust data models, communicate clearly, and ensure outputs are accurate, consistent, and actionable.
- A degree in Computer Science, Engineering, Maths, Economics, Data Science is desirable.
- Advanced SQL skills and experience with analytical/dimensional modelling.
- Practical experience with modern ELT tools (Dataform/dbt) and Git workflows.
- Knowledge of cloud data warehouses, ideally BigQuery.
- Familiarity with orchestration tools such as Airflow.
- Experience designing BI‑friendly datasets, particularly for Power BI.
- Strong communication skills, able to translate business needs into data models.
- Experience with enterprise systems such as SAP BW/HANA.
- A track record of building reusable datasets or maintaining a metrics/semantic layer.
- Basic Python for automation or analytics engineering tooling.
- Experience collaborating in cross‑functional analytics or data product teams.
Why Join Us
- Help shape the future of analytics at a global, design‑led market leader.
- Work collaboratively across Finance, Commercial, Operations, IT, and more.
- Have real influence on how data is defined, trusted, and used across the organisation.
- Join a supportive, innovative culture known for empowering teams and encouraging growth.
- Develop your skills with modern cloud, modelling, and automation technologies.
We understand there’s no one size fits all approach. We’re proud to offer an inclusive workplace where every colleague feels valued, supported, and empowered to be their true self. If you require any reasonable adjustments throughout the recruitment process, please let us know and we’ll be happy to accommodate. Everyone who applies will receive a response.
Junior Analytics Engineer in Nottingham employer: Hillarys
Contact Detail:
Hillarys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Analytics Engineer in Nottingham
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in analytics. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your analytics models or projects. This gives potential employers a tangible sense of what you can do and how you think.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to analytics engineering. Be ready to discuss how you've tackled complex data problems and how you can contribute to our team at StudySmarter.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining us.
We think you need these skills to ace Junior Analytics Engineer in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Analytics Engineer role. Highlight your analytical capabilities, SQL skills, and any experience with ELT tools like Dataform or dbt. We want to see how you can contribute to our data foundations!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how your background aligns with our needs. Don’t forget to mention your experience in collaborating with cross-functional teams – we love teamwork at StudySmarter!
Showcase Your Projects: If you've worked on relevant projects, whether in school or professionally, make sure to include them. Describe the challenges you faced and how you solved them using data models or analytics tools. This will help us see your problem-solving skills in action!
Apply Through Our Website: We encourage you to apply directly 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 promise to get back to everyone who applies!
How to prepare for a job interview at Hillarys
✨Know Your Data Models
Before the interview, brush up on your knowledge of analytics models and how they convert raw data into business-ready datasets. Be prepared to discuss your experience with designing and maintaining these models, as well as any specific tools you've used like Dataform or dbt.
✨Showcase Your SQL Skills
Since advanced SQL skills are a must for this role, make sure you can confidently demonstrate your ability to write complex queries. Consider preparing a few examples of past projects where you used SQL to solve data problems or improve reporting processes.
✨Communicate Clearly
Strong communication skills are essential for translating business needs into data solutions. Practice explaining technical concepts in simple terms, as you may need to interact with stakeholders from various departments. Think of examples where you successfully collaborated with cross-functional teams.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Prepare to discuss how you would approach specific challenges related to data quality checks, implementing SLAs, or improving analytics processes. Use the STAR method (Situation, Task, Action, Result) to structure your responses.