Data Analyst; Analytics Engineer

Job Description

We’re looking for an Analytics Engineer to join our Data & Analytics team, helping to build scalable, reliable and well‑governed data products using modern analytics engineering practices.

This role is centred on data modelling, transformation and pipeline development, with a strong focus on dbt‑style workflows and cloud data platforms (e.g. Snowflake). You’ll play a key role in shaping how data is structured and delivered across the organisation, enabling high‑quality, self‑service analytics. While the role includes exposure to Power BI, the focus is on engineering robust datasets and semantic models that underpin reporting, rather than building dashboards.

• Design and develop reusable, well‑structured data models to support analytics use cases
• Apply best practices in dimensional modelling and semantic layer design
• Build data transformation workflows using modern tools (e.g. SQL, dbt or equivalent)

• Create and maintain automated ELT pipelines to transform and deliver data from multiple sources
• Ensure pipelines are reliable, efficient and scalable within a cloud data environment (e.g. Snowflake)
• Promote standardisation, modular design and reusability across data transformations

• Implement testing frameworks (e.g. data validation, schema tests, lineage) to ensure data accuracy
• Maintain documentation, version control and structured development practices
• Contribute to the adoption of modern analytics engineering standards across the team

• Develop and maintain datasets and semantic models for Power BI consumption
• Validate and test data within Power BI to ensure consistency with underlying models
• Support programmatic interaction with Power BI (e.g. metadata extraction, automation, integration with data workflows)
• Ensure strong alignment between upstream models and downstream reporting outputs

• Translate business requirements into scalable, reusable data assets
• Enable self‑service analytics by delivering clean, well‑structured datasets
• Work closely with analysts to improve data usability and consistency

• Improve performance of queries, transformations and data models
• Identify opportunities to automate processes and enhance efficiency
• Contribute to tooling, frameworks and shared development patterns

• Strong experience with SQL and data modelling (e.g. dimensional modelling, semantic modelling)
• Experience with modern data transformation tooling (e.g. dbt, strongly preferred)
• Experience working with cloud data platforms (e.g. Snowflake, Azure, AWS)
• Experience building and maintaining scalable data pipelines and datasets
• Understanding of data quality, testing and governance practices
• Experience working with Power BI datasets/semantic models (rather than solely report development)
• Experience with Python or scripting for automation desirable
• Exposure to version control (e.g. Git) and collaborative development practices

• Focus on data modelling and transformation — not reporting delivery
• Built around modern analytics engineering (dbt, ELT, testing, version control)
• Strong emphasis on cloud data platforms (e.g. Snowflake)
• Power BI used as a consumer layer, not the primary skill set
• Opportunity to help shape standards, tooling and engineering practices

• The opportunity to participate in our annual, performance‑related bonus plan and valuable share schemes
• Generous pension contribution
• Life assurance
• Healthcare Plan (permanent employees only)
• At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
• Competitive family leave
• Participate in our electric car scheme, which offers employees the option to hire a brand‑new electric car through tax efficient salary sacrifice (permanent employees only)
• There are many discounts we offer – both for our own products and at a range of high street stores and online
• We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience