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 positive 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 recent work or to improve
existing work.

About the team
Rest of World (RoW) Supply Chain Analytics, Research and Product (SHARP) team
supports supply chain processing for the multiple geographies like IN, Japan,
Mexico, Brazil, MENA, AU & SG. Basic Qualifications: - 2+ years of data
analytics or automation experience
- Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate
analytical functions
- Experience with data mining tools like SQL, SAS, SPSS, or similar Preferred
Qualifications: - Knowledge of data pipelining and extraction using SQL

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📌 Business Analyst Support (Bengaluru)
🏢 Amazon
📍 Bengaluru