Data Analyst, Reimbursement, FBA India

Amazon is looking for a talented, driven Data Analyst It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company.

Amazon.in's Fulfilment by Amazon (FBA) & Reimbursement team is seeking for a talented, self-driven driven Data Analyst.This pivotal role provides you opportunity to work with an exceptionally innovative team, slice and dice multi-dimensional high depth data mines, build complex data models to provide data driven insights for high impact decisions spanning across Merchant and Customer experience improvement Product/Program initiatives.

Working in a dynamic environment, you will be responsible for monitoring key success metrics for sellers, identifying problem areas and business challenges and collaboratively shaping solutions with category and business teams to help sellers grow and optimize on the Amazon platform. The successful candidate has a passion for extracting actionable insights from data. He/she rolls up his/her sleeves, innovates, and quickly becomes a subject matter expert to assess business performance across sellers and market segments. He/she has significant experience working with customers, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner. He/she enjoys problem solving and is proficient using Excel and other tools to analyze large data sets.

Key job responsibilities

Understand Amazon seller Services products and services and track/report business performance and problem areas using appropriate metrics.

Work cross functionally with the account management team to fix problems with sellers

Use Amazon's tools to problem solve and validate solutions

Partner to define goals around key operational metrics

Recommend business actions based on analytical findings. Includes defining new metrics, techniques, and strategies to improve seller performance

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

Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

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