Tanmayee K
Business Intelligence Engineer at Amazon
- Role
- Business Intelligence Engineer at Amazon
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Tanmayee K
Business Analyst / Data Analyst with 2+ years of experience delivering data-driven insights at Amazon by combining advanced analytics with strong data engineering foundations.I’ve supported business, product, and operations teams by defining metrics, analyzing large-scale datasets, and translating complex data into actionable insights used in WBRs, MBRs, and leadership decision-making.What I do:• Analyze structured and event-level data using SQL, Excel, and Python to identify trends, drivers, and performance gaps• Design and track business and operational metrics, ensuring consistency, accuracy, and stakeholder alignment• Build stakeholder-facing dashboards in Power BI and Amazon QuickSight to enable self-serve analytics• Apply statistical techniques including regression, hypothesis testing, and A/B testing to answer high-impact business questions• Design data models and build automated ETL pipelines (AWS Redshift, Lambda, Python) to ensure reliable, analysis-ready datasetsImpact highlights:• Reduced manual reporting effort by 40% by building automated dashboards and ETL workflows• Improved data reliability by 70% and reduced data latency by 40% through better modeling, validation, and monitoring• Enabled faster and more confident decision-making by surfacing clear KPIs and deep-dive analyses for senior stakeholdersTools & skills:SQL, Excel, Python (Pandas, NumPy, Pytorch), Power BI, QuickSight, AWS (Redshift, Lambda, S3), ETL, Data Modeling, Statistical Analysis, A/B Testing, Data Modeling, ETL Pipelines, KPI Design & Governance, Business Requirements Gathering, Metric Definition, Stakeholder CommunicationCurrently seeking Business Analyst, Data Analyst, or Product Analyst roles where strong analytics and engineering drive measurable business impact.I am also open to analytics-focused data engineering roles that involve building scalable data pipelines and analytics platforms.
Experience
Business Intelligence Engineer
Jan 2026 — Present
Education
INSTITUTE OF AERONAUTICAL ENGINEERING
Bachelor of Technology - BTech, it
2019 — 2023
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