Business Intelligence Manager, Cross Border Science and Analytics
ADCI MAA 15 SEZ•4h ago
IN, KA, BengaluruOnsiteFull-timeManager Level7+ yrs exp
Top focus
Business Ops ManagerBusiness AnalystAnalytics EngineerHr Business Partner
- 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
- 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
- business metrics instrumentation supporting science initiatives spanning forecasting, pricing, personalization, search, compliance
- generative AI. You will partner closely with Applied Scientists, Product Managers
- Software Engineers to translate complex, multi-marketplace data into actionable intelligence — defining KPIs, building self-service dashboards
- 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
- mentor BIEs while operating as a strategic partner to science and product leadership.
- 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
- similar tools - Experience in SQL Server/MySQL
- experience that includes strong analytical skills, attention to detail
- effective communication abilities and experience in Redshift - Experience including, building and maintaining data flows and pipelines - Knowledge of product experimentation (A/B testing)
- Experience leveraging LLMs and GenAI tools for analytics workflows — prompt-based data exploration, automated insight generation, natural language to SQL
- 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
- 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.
Required skills
SQLSparkPythonAWSTableauQuicksightRedshiftA/B testingdata visualizationdata engineeringanalytics