Business Analyst, Quick Commerce
Amazon · Not specified · onsite · Posted 61d ago
About a minute. You'll make an account on the way through.
About this role
Description
The candidate manages topology configurations, deployment execution, and program ticket governance for the Amazon Now network. This role requires strong attention to detail, strong analytical acumen, and the ability to manage high-volume deployment pipelines while ensuring zero-defect configuration accuracy across a rapidly scaling store network.
Key job responsibilities
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
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