Business Analyst, Quick Commerce

1. Own end-to-end topology configuration workflows- including store attribute setup, service area mapping, fulfillment channel configurations, and go-live readiness validation across all launch workstreams 2. Manage deployment tickets from intake through closure prioritizing based on business criticality, ensuring correct sequencing, and tracking SLA adherence across all open items 3. Execute configuration deployments with zero-defect accuracy validating inputs against SOPs, running pre-deployment checks, and confirming post-deployment health before sign-off 4. Use analytical tools (Excel, SQL, internal dashboards) to audit configuration integrity, identify deployment anomalies, and generate compliance reports that flag deviations before they become customer-impacting 5. Maintain real-time visibility on deployment pipeline health — tracking open vs. closed tickets, aging items, blocked dependencies, and surfacing risks proactively with supporting data 6. Coordinate with cross-functional teams (operations, tech, vendor management, site launch) to unblock configuration dependencies and ensure deployment timelines are not breached 7. Build and maintain documentation for configuration standards, deployment and exception-handling playbooks to enable consistency at scale BASIC QUALIFICATIONS - 1+ years of data analytics or automation experience - 1+ years of capacity planning, operations planning, business analysis or similar experience - Bachelor's degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Experience with data mining tools like SQL, SAS, SPSS, or similar PREFERRED QUALIFICATIONS - Experience in data analytics or automation

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.