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Business Intelligence Engineer, IN Value Commerce

ASSPL - Karnataka - B564h ago
IN, KA, BengaluruOnsite₹500Full-time

Top focus

Business AnalystHr Business Partner
  • We are seeking a data-driven Business Intelligence Engineer (BIE) to join the IN Value Commerce team. In this role, you will be responsible for building scalable analytics solutions, creating actionable insights
  • developing automated reporting frameworks to drive growth in the You will work closely with business stakeholders, product managers
  • SDE's to: 1) Define and track key metrics related to selection health, selection gaps, catalog coverage
  • customer demand signals in the 2) Build and maintain data pipelines and ETL processes to support reporting and analytics needs for the Value Commerce program. 3) Develop dashboards and self-service BI tools (QuickSight, Tableau
  • equivalent) to enable stakeholders to monitor selection KPIs, glide paths
  • WBR/MBR metrics. 4) Conduct deep-dive analyses to identify selection gaps, competitive benchmarking insights
  • growth opportunities within the 5) Automate reporting workflows to reduce manual effort, improve data freshness
  • scale analytics. Improve data quality and governance by defining data contracts, validation checks
  • documentation standards for the team's data assets. About the team The IN Value Commerce team manages A.in's sub ₹500 price segment units growth and customer growth. The team works cross-functionally with Category, Seller, Marketing
  • Product teams to unlock selection, improve pricing, improve discoverability to deliver sub ₹500 input and output goals.
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight
  • similar tools - Experience with scripting language (e.g., Python, Java
  • R) - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports - Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools - Knowledge of data modeling and data pipeline design
  • Master's degree, or Advanced technical degree - Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Required skills

PythonJavaRAWS
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