mid operations Business Analyst ic 4+ yrs Bachelor's · Posted Feb 16, 2026

About this role

Amazon is hiring a mid-level Business Analyst in the operations function based in Chennai, India. The posting calls out experience with SQL, Tableau, ETL, Data Visualization and roughly 4+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Business Analyst
Function
operations
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Chennai, India
Experience
4+ years
Education
Bachelor's degree
Department
Business Intelligence
Posted
Feb 16, 2026
AI Summary
Mid-level Business Analyst owns analytics on large data volumes, synthesizing insights and communicating findings to stakeholders. Requires 4+ years analytical experience, advanced Excel skills, SQL proficiency, and ability to build reports/dashboards. Manages end-to-end projects for Amazon's Selection Monitoring team.

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Job description

from Amazon careers

Within the Selection Monitoring team, a Business analyst is expected to own analytics on large volumes of data, synthesize the analysis into business insights, communicate the findings to stakeholders and and deliver business value. Business analyst will be expected to be skilled in understanding customer needs, converting them to analysis requirements, having working knowledge of data availability in various sources, building customer confidence through effective communication and derive recommendations. Business analyst would also be responsible for the project plan, cost and efficiency analytics platform resources, scaling of data processes and reports, and project timeline and deliverables. Key job responsibilities - Solve ambiguous problems with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes - Identify, develop and execute data analysis to uncover areas of business opportunities - Learn and understand the broad range of Amazon’s data resources and develop knowledge of how, when and which data sources to use - Deep dive into massive data sets to answer key business questions using SQL, MS Excel and other data manipulation languages - Build new reports/dashboards to enable emerging business use cases - Partner with Data Engineering team to deploy new data technology - Present…

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