Data Analyst (Analytics Engineer)

Data Analyst (Analytics Engineer)

Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
LegalAndGeneral

At a Glance

  • Tasks: Build scalable data models and transform data for impactful analytics.
  • Company: Join Legal & General, a leading UK financial services group with a mission to improve lives.
  • Benefits: Enjoy competitive salary, generous holiday, healthcare, and performance-related bonuses.
  • Other info: Flexible working options available in an inclusive and supportive environment.
  • Why this job: Shape data standards and practices while working with cutting-edge cloud technologies.
  • Qualifications: Strong SQL skills and experience with modern data transformation tools like dbt.

The predicted salary is between 45000 - 55000 £ per year.

Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities.

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.

What you’ll be doing:

  • 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
  • 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. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.

We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.

Data Analyst (Analytics Engineer) employer: LegalAndGeneral

Legal & General is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Data Analyst in our Data & Analytics team, you'll benefit from generous employee perks, including a competitive bonus plan, extensive holiday options, and a commitment to sustainability in our modern offices. We prioritise your professional growth with opportunities for career development and a culture that values diverse perspectives, ensuring you can make a meaningful impact while enjoying a healthy work-life balance.

LegalAndGeneral

Contact Details:

LegalAndGeneral Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst (Analytics Engineer)

Tip Number 1

Network like a pro! Reach out to current employees at Legal & General on LinkedIn. Ask them about their experiences and any tips they might have for landing the Analytics Engineer role. Personal connections can make a huge difference!

Tip Number 2

Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to discuss your experience with dbt and cloud platforms like Snowflake. Show them you know your stuff and can hit the ground running!

Tip Number 3

Don’t just focus on your technical skills; highlight your ability to collaborate with analysts and stakeholders. Share examples of how you've translated business requirements into scalable data assets. They want to see you as a team player!

Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Legal & General. Let’s get you that job!

We think you need these skills to ace Data Analyst (Analytics Engineer)

SQL
Data Modelling
Dimensional Modelling
Semantic Modelling
dbt
Cloud Data Platforms
Snowflake

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, data modelling, and any cloud platforms like Snowflake. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Be sure to mention your experience with dbt and data transformation workflows.

Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build scalable data models and pipelines. We love seeing real examples of your skills in action.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!

How to prepare for a job interview at LegalAndGeneral

Know Your Data Modelling Inside Out

Make sure you brush up on your data modelling skills, especially dimensional and semantic modelling. Be ready to discuss how you've applied these concepts in previous projects, as this will show your understanding of the role's core requirements.

Familiarise Yourself with dbt and Cloud Platforms

Since the role focuses on dbt-style workflows and cloud data platforms like Snowflake, it’s crucial to have a solid grasp of these tools. Prepare examples of how you've used them in past experiences, and be ready to explain your approach to building scalable data pipelines.

Showcase Your SQL Skills

SQL is a key part of this role, so be prepared to demonstrate your proficiency. You might be asked to solve a problem or optimise a query during the interview, so practice common SQL challenges beforehand to boost your confidence.

Emphasise Collaboration and Communication

This position involves working closely with analysts and stakeholders, so highlight your experience in collaborative environments. Share examples of how you've translated business requirements into data solutions, and how you ensure data usability for self-service analytics.