BI Developer: Finance Data & Looker Expert (Hybrid)

Autotrader

Manchester

Hybrid

GBP 40,000 - 45,000

Full time

3 days ago
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Benefits offered by this job

Shares program
Pension scheme
Private medical cover
Hybrid working (Connected Working)
28 days annual leave

Job summary

Autotrader is seeking a BI Developer to join our Finance Systems and BI team in Manchester. You will analyse large data models, manage Looker reports, and develop data pipelines to enable data-driven decisions across the business.

You will partner with Finance to ensure data is structured for accurate analyses, build data packages and dashboards, and train colleagues to self-serve insights. This role combines hands-on BI with strategic data storytelling in a hybrid work setup.

Qualifications

  • Strong SQL language skills and experience with enterprise BI data platforms.
  • Experience with Looker (or similar BI visualization tools) is essential.
  • Experience building data transformation pipelines with dbt or ETL/ELT tools is advantageous.
  • Ability to partner with internal teams to develop insights and metrics.
  • Experience creating and optimizing reports/dashboards for stakeholders.

Responsibilities

  • Analyse and review large data models and translate into insightful business metrics.
  • Manage Looker reporting suite, handle support requests and data analysis tasks.
  • Develop and maintain data pipelines and data packages for BI needs.
  • Provide Looker development training and guidance to Finance colleagues.
  • Collaborate with Finance to surface data for accurate, impactful analyses.
  • Serve as subject matter expert for business intelligence within the team.

Skills

SQL
Looker
dbt
ETL/ELT
Data storytelling
Stakeholder comms
Reporting & dashboards

Job description

Autotrader is seeking a BI Developer to join our Finance Systems and BI team in Manchester. You will analyse large data models, manage Looker reports, and develop data pipelines to enable data-driven decisions across the business.

You will partner with Finance to ensure data is structured for accurate analyses, build data packages and dashboards, and train colleagues to self-serve insights. This role combines hands-on BI with strategic data storytelling in a hybrid work setup.

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