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- Tasks: Design and maintain analytics models to turn raw data into trusted insights.
- Company: Join a global, design-led market leader in analytics.
- Benefits: Inclusive workplace, supportive culture, and opportunities for skill development.
- 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.
- Other info: Collaborate across teams and enjoy a dynamic, empowering environment.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for an experienced Analytics Engineer to help shape our data foundations and deliver high quality, trusted insights across the business. You will 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 are seeking someone with strong analytical and technical capability, who enjoys solving complex data problems and can confidently partner with stakeholders across the business. You will 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, or 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 is no one size fits all approach. We are 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 will be happy to accommodate. Everyone who applies will receive a response.
Junior Analytics Engineer in Nottingham employer: Hillarys HR
Contact Detail:
Hillarys HR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Analytics Engineer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 analytics projects, models, or any cool data visualisations you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to analytics engineering. Think about how you’d explain complex data concepts in simple terms – it’s all about clear communication!
✨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 genuinely interested in joining our team.
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, technical skills, and any relevant projects you've worked on. 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. Be sure to mention specific tools or methodologies you’ve used that relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or professionally, make sure to include them. We love seeing practical examples of your work, especially if they demonstrate your ability to design robust data models or use modern ELT tools.
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 HR
✨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 SQL and any ELT tools you've used, like Dataform or dbt, as this will show your technical capability.
✨Communicate Clearly
Since this role involves translating complex business requirements into data solutions, practice explaining your past projects in simple terms. Use examples that highlight your ability to collaborate with different teams, showcasing your strong communication skills.
✨Showcase Your Problem-Solving Skills
Think of specific instances where you solved complex data problems. Be ready to share these stories during the interview, focusing on the challenges you faced, the actions you took, and the results you achieved. This will demonstrate your analytical mindset and technical prowess.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's data architecture and analytics processes. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.