Business Analyst Support

Amazon; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Amazon in Bengaluru is seeking a data analytics enthusiast to design and maintain data pipelines, queries and dashboards. You will automate tasks, validate data, and work with stakeholders to improve processes using SQL, Python and AWS.

Ideal candidates have 2+ years in analytics, strong SQL/Python/R skills, and a bias for action with attention to detail in a fast-paced environment.

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.

Responsibilities

• Own the design, development and maintenance of data pipelines, queries, metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Validate data for new and existing resources to ensure data accuracy.
• Work with stakeholders to understand and automate/enhance existing processes.
• Keep up learning of latest data and AWS technologies and analytical techniques.
• Provide data-driven solutions to business problems and propose improvements.

Skills

SQL

Python

R

Tools

SAS

SPSS

Job description

Description

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.

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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