Analytics Engineer

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Job Description

Analytics Engineer

London

£65,000 to £70,000


This is a high impact Analytics Engineer role where you will help rebuild and shape a central data capability at a pivotal point. You will join a lean core team with strong executive backing, giving you real ownership over data models, transformation logic and analytics foundations that support multiple product areas across the business.


The Company

They are a well established, consumer focused digital business operating at scale, with a strong emphasis on data driven decision making. Data plays a central role in how products are built, measured and improved, and the organisation is continuing to invest in its modern data platform. With a collaborative culture and clear appetite to improve analytics maturity, this is an environment where hands on engineers can make a visible difference.


The Role

  • Act as a core member of the central analytics function supporting multiple product verticals
  • Design, build and maintain robust data models for analytics and reporting
  • Develop transformations using dbt on a Snowflake data platform
  • Work closely with data infrastructure, product and analytics stakeholders to deliver scalable data solutions
  • Contribute to rebuilding core analytics capability following a period of underinvestment
  • Take a practical, delivery focused approach with limited reliance on heavy stakeholder management


Your Skills and Experience

  • Strong commercial experience using SQL for analytics and data transformation
  • Proven capability in dimensional data modelling, with Kimball style approaches preferred
  • Hands on experience with dbt for transformation and modelling
  • Experience working with cloud data warehouses, ideally Snowflake
  • Comfortable using Python or similar languages for data tasks and logical problem solving
  • Able to work autonomously in a small team and take ownership of end to end analytics solutions
Apply
Location:
City Of London
Job Type:
FullTime
Category:
Engineering

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