At a Glance
- Tasks: Design and maintain scalable analytics models for trusted business insights.
- Company: Join a global, design-led market leader in analytics.
- Benefits: Inclusive workplace, skill development, and collaborative culture.
- Other info: Empowering environment with opportunities for growth and innovation.
- 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 50000 - 65000 £ 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.
Analytics Engineer: Data Modeling & Trusted Insights employer: Hillarys Blinds Limited
Join a forward-thinking company that prioritises innovation and collaboration, where as an Analytics Engineer, you'll play a pivotal role in shaping data foundations and driving impactful insights. Our inclusive work culture fosters personal and professional growth, offering opportunities to develop your skills with cutting-edge technologies while working alongside diverse teams across the organisation. Experience a supportive environment that values your contributions and empowers you to make a real difference in how we leverage data for strategic decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer: Data Modeling & Trusted Insights
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your analytics models and projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data modelling and analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply 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 Analytics Engineer: Data Modeling & Trusted Insights
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with analytics models and data quality. We want to see how your skills align with our needs, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills:Since we’re looking for someone with strong SQL skills and experience with tools like Dataform or dbt, be sure to mention these in your application. Include specific examples of how you've used these technologies to solve complex data problems.
Communicate Clearly:We value clear communication, especially when translating business requirements into data solutions. Use your application to demonstrate your ability to explain technical concepts in a way that’s easy to understand for non-technical stakeholders.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Hillarys Blinds Limited
✨Know Your Data Models
Make sure you brush up on your knowledge of data modelling techniques. Be ready to discuss how you've designed and maintained analytics models in the past, and be prepared to explain your approach to ensuring data quality and reliability.
✨Showcase Your Technical Skills
Highlight your advanced SQL skills and any experience with ELT tools like Dataform or dbt. Bring examples of how you've used these tools to solve complex data problems, and be ready to demonstrate your understanding of cloud data warehouses, especially BigQuery.
✨Communicate Clearly
Since this role involves collaborating with various teams, practice explaining technical concepts in simple terms. Prepare to share examples of how you've translated business requirements into actionable data solutions, showcasing your strong communication skills.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to balance immediate reporting needs with long-term data architecture. Be ready to discuss how you would approach building self-service datasets and improving analytics processes.
