The candidate would be responsible for creating/maintaining complex SQL queries and scheduling/refreshing ETL jobs. They would be required to automate manual tasks and simplify them using Python. They would also be required to build data pipelines/dashboards take up dive deep requests make changes to existing analytical framework and provide data support to concerned stakeholders. The person should have a good understanding of a business requirement and the ability to quickly get to the root cause of a particular reporting/BI/data issue and draft solutions for resolution specially during high demand period like OP/3YF planning. The ideal candidate would be high on attention detail show bias for action and keen interest in analytics/BI/automation.

Some of the key result areas include but not limited to:

Own the design development and maintenance of ongoing data pipelines queries metrics reports analyses dashboards etc. to drive key business decisions. Ensure data accuracy by validating data for new and resources.
Work closely with stakeholders (internal/external) to understand and automate/enhance the existing processes.
Should be open to learn and develop skillsets in the latest data and AWS technologies and analytical techniques
Should be able to solve a business problem through a solution driven by data.
Should be able to come up with innovative ideas for new work or to improve existing work.

Key job responsibilities
- Monitor the health of the teams production models and pipelines and run recurring executions on schedule (e.g. periodic model runs data refreshes reporting cadences).

- Perform first-level troubleshooting of pipeline and model-run failures diagnosing common issues (data quality missing inputs job failures) and resolving them with minimal guidance escalating deeper modeling issues to the OR scientists with clear well-documented context.





- Maintain run documentation runbooks and operational trackers so execution is consistent and repeatable.

- Validate inputs and outputs for each run flagging anomalies before they reach stakeholders.

A day in the life
You are the operational backbone that keeps our optimization models running reliably. Your day starts with health-checks on production runs validating inputs/outputs and first-level troubleshooting of failures resolving common issues with minimal guidance and escalating deeper modeling questions to the OR scientists. The rest of your time goes to BI work: complex SQL Python automation pipelines dashboards and dive-deep requests. You partner with Research Scientists BIEs and Program/Product Managers serving supply-chain planning teams across ROW markets with stakes peaking during OP/3YF planning cycles where accuracy and rapid turnaround matter most.

About the team
The GSARC-AOP (Analytics Operations & Programs) Research Science team builds and operates decision-support and optimization products across Network Design Quick Commerce and Packaging for Amazons Rest of World (ROW) marketplaces spanning multiple OR tools. We are looking for a Business Analyst to be the operational backbone of this portfolio: keeping our production models healthy and running and contributing hands-on analytics and BI work that supports the teams decision-making.





This is a high-ownership execution role for an analyst who is energized by reliability likes working close to data and models and wants to grow their technical depth alongside a team of Operations Research scientists and Business Intelligence Engineers for the multiple geographies like IN Japan Mexico Brazil MENA AU

- 2 years of data analytics or automation experience
- Experience with data mining tools like SQL SAS SPSS or similar
- Bachelors degree or above in engineering statistics computer science mathematics or a related quantitative field
- Experience that includes strong analytical skills attention to detail and effective communication abilities or experience working with customers with a passion for delivering exceptional service and experience with automation and any version control tools

- Knowledge of data pipelining and extraction using SQL
- Experience troubleshooting and debugging technical systems or experience that includes strong analytical skills attention to detail and effective communication abilities and experience with automation and any version control tools
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Masters degree or a Bachelors degree and experience building web based dashboards using common frameworks
- Bachelors degree in operations supply chain or logistics or 2 years of managing analyzing and communicating results to senior leadership experience

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Required Experience:

IC

📌 Business Analyst Support, AOP Research Science (Bengaluru)
🏢 Amazon
📍 Bengaluru