Data Analyst (Analytics Engineer)

Responsibilities

• Build scalable data models and transformation layers
• 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)
• Develop and operate data pipelines
• 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
• Drive data quality and engineering best practice
• 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
• Enable downstream analytics (Power BI)
• 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
• Collaborate with analysts and stakeholders
• 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
• Optimisation and continuous improvement
• Improve performance of queries, transformations and data models
• Identify opportunities to automate processes and enhance efficiency
• Contribute to tooling, frameworks and shared development patterns
• Who we're looking for:
• 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
• Why is this role different?
• 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
• Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:
• 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
• At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all.
• We care passionately about outcomes rather than attend

Benefits

Additional Information

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.

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