Analytics Engineer - Build Trusted Data & Dashboards

Currys plc

Greater London

Hybrid

GBP 55,000 - 70,000

Full time

14 days+

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Job summary

Currys plc in the UK is recruiting an Analytics Engineer to join the AI & Monetisation function. Based in Waterloo with hybrid working, you’ll own end-to-end analytics domains, build trusted data models, and ship dashboards that influence the P&L.

You’ll bring strong SQL, dbt expertise, and experience with Snowflake/Databricks, Looker or similar BI tools, and collaborate across teams to translate business needs into scalable data solutions.

Qualifications

  • 2–4 years of experience in a data analyst or analytics engineer role.
  • Bachelor’s degree in Computer Science, Analytics or related technical field highly desirable.
  • dbt & Analytics platform certification beneficial.

Responsibilities

  • Develop and maintain dbt models transforming raw data into trusted datasets for analytics.
  • Implement data quality tests and monitoring to ensure accuracy and reliability.
  • Optimize query performance with data modelling and materialisation strategies.
  • Establish and maintain documentation and data dictionaries for models and metrics.
  • Support self-service analytics by building reusable data models.
  • Collaborate with cross-functional teams to translate business requirements into solutions.
  • Collaborate with data engineers to define requirements for new data sources and pipelines.
  • Conduct exploratory data analysis to identify trends and anomalies in performance.
  • Build dashboards and reports that empower self-service analytics.
  • Design visualisations that clearly communicate data stories to technical and non-technical audiences.

Skills

SQL
dbt
Snowflake
Databricks
Looker
Power BI
Git workflows
Data warehousing

Education

Degree in Computer Science/Analytics

Tools

Snowflake
Databricks
Git
Looker
Tableau
Power BI

Job description

Currys plc in the UK is recruiting an Analytics Engineer to join the AI & Monetisation function. Based in Waterloo with hybrid working, you’ll own end-to-end analytics domains, build trusted data models, and ship dashboards that influence the P&L.

You’ll bring strong SQL, dbt expertise, and experience with Snowflake/Databricks, Looker or similar BI tools, and collaborate across teams to translate business needs into scalable data solutions.

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