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Business Intelligence Developer

1 month ago

London, Greater London, United Kingdom Amazon TA Full time

We are seeking a Business Intelligence Developer to join our team at Amazon TA. As a Business Intelligence Developer, you will be responsible for designing, implementing, and supporting key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.

Key Responsibilities:

  • Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
  • Participate in developing department KPI's and operational metrics to drive improvements in automation and robotics projects.
  • Develop complex queries for ad-hoc requests and projects, as well as ongoing reporting.
  • Maintain data integrity, perform QA Audits and diligently troubleshoot issues.
  • Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets.
  • Generate daily, weekly, and monthly data reports for both internal and external business reviews.

About the Team:

Within International Amazon TA, AIS (Analytics, Insights and Science) strives to empower decision-making with actionable insights across banners. We partner with WW analytics teams to scale our work and de-duplicate efforts by working away. The team prioritises big rocks every 6 months whilst retaining a year-round SIM intake for emerging initiatives along with providing on-call and office hours for our stakeholders.

Basic Qualifications:

  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
  • Experience with SQL.
  • Experience in the data/BI space.

Preferred Qualifications:

  • Master's degree, or Advanced technical degree.
  • Knowledge of data modeling and data pipeline design.
  • Experience with statistical analysis, co-relation analysis.