Business Intelligence Manager, Cross Border Science and Analytics

Amazon

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

2 days ago
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Job summary

ADCI MAA 15 SEZ in Bengaluru seeks an L6 Business Intelligence Engineer Manager to lead a team of BIEs supporting Cross Border Science at Amazon. You will oversee BI infrastructure, dashboards, and AI-driven insights across 50+ arcs and 8+ geographies, partnering with science and product leaders to drive data-informed decisions.

You will mentor engineers, design scalable data pipelines, and advance A/B testing and semantic layers for democratized data access.

Qualifications

  • 7+ years of business intelligence and analytics experience.
  • 5+ years of delivering results managing a BI/analytics team, including employee development and performance management.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience in SQL Server/MySQL, or experience that includes strong analytical skills and experience in Redshift.
  • Experience including building and maintaining data flows and pipelines.
  • Knowledge of product experimentation (A/B testing).

Responsibilities

  • Lead and mentor a team of BI engineers delivering production-grade BI pipelines.
  • Build and maintain experimentation frameworks and KPI instrumentation for multiple marketplaces.
  • Partner with Applied Scientists, PMs, and Software Engineers to translate data into actionable insights.
  • Define KPIs, design self-service dashboards, and implement AI/ML-informed analytics workflows.

Skills

BI analytics experience
People management
Data visualization
SQL / Redshift
Data pipelines
A/B testing
GenAI for analytics
Semantic modeling
Data quality monitoring

Tools

Tableau
Quicksight
SQL Server
MySQL
Redshift

Job description

Description We are looking for an L6 Business Intelligence Engineer (BIE) Manager to lead a team of BIEs supporting Cross Border Science at Amazon. This role sits at the intersection of data engineering, analytics, and applied science — owning the BI infrastructure and insights layer that powers AI-driven decision-making across 50+ Cross Border arcs and 8+ marketplace geographies. The ideal candidate will build and manage a team that delivers production-grade BI pipelines, experimentation frameworks, and business metrics instrumentation supporting science initiatives spanning forecasting, pricing, personalization, search, compliance, and generative AI. You will partner closely with Applied Scientists, Product Managers, and Software Engineers to translate complex, multi-marketplace data into actionable intelligence — defining KPIs, building self-service dashboards, and designing A/B test measurement frameworks that quantify the business impact of tech and AI solutions in production. This is a high-visibility role requiring both technical depth (SQL, Spark, Python, AWS data stack) and leadership maturity to hire, develop, and mentor BIEs while operating as a strategic partner to science and product leadership.

Basic Qualifications

  • 7+ years of business intelligence and analytics experience
  • 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience in SQL Server/MySQL, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in Redshift
  • Experience including, building and maintaining data flows and pipelines
  • Knowledge of product experimentation (A/B testing)

Preferred Qualifications

  • Experience leveraging LLMs and GenAI tools for analytics workflows — prompt-based data exploration, automated insight generation, natural language to SQL, or AI-assisted reporting
  • Experience building semantic layers or self-service analytics platforms that democratize data access across technical and non-technical consumers
  • Familiarity with AI-assisted data quality and anomaly detection — automated monitoring of data freshness, drift, and pipeline health using ML-based alerting

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.

Company - ADCI MAA 15 SEZ

Job ID: A10466038

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