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Data Analyst, Reimbursement, FBA India

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Amazon

1mo ago

  • Job
    Full-time
    Junior Level
  • Data

AI generated summary

  • You need 1+ years in data analytics and operations planning, a bachelor's degree, and skills in SQL, Excel, and data mining tools like SAS or SPSS. Python/R knowledge is a plus.
  • You will track business performance, resolve seller issues, utilize analytical tools, set operational goals, and recommend actions to enhance seller performance based on data findings.

Requirements

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

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

FAQs

What is the main responsibility of a Data Analyst in the Reimbursement team at Amazon FBA India?

The main responsibility is to monitor key success metrics for sellers, identify problem areas and business challenges, and collaboratively shape solutions to help sellers optimize their performance on the Amazon platform.

What qualifications are required for this Data Analyst position?

The basic qualifications include 1+ years of data analytics or automation experience, 1+ years of experience in capacity planning, operations planning, or business analysis, a Bachelor's degree, and knowledge of data pipelining and extraction using SQL.

Is prior experience with data mining tools necessary for the role?

Yes, experience with data mining tools such as SQL, SAS, SPSS, or similar is required.

What skills are preferred for candidates applying for this position?

Preferred skills include knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions.

Will I be required to work with cross-functional teams?

Yes, the role involves working cross-functionally with the account management team to resolve problems with sellers.

What tools will I use to perform my analysis?

You will be using Amazon’s internal tools, SQL, Excel, and other data analysis tools to validate solutions and analyze large datasets.

What type of environment can I expect while working in this role?

You can expect to work in a dynamic and innovative environment that encourages problem-solving and the extraction of actionable insights from data.

Is a strong proficiency in Excel essential for this position?

Yes, proficiency in Excel at a moderate to advanced level is essential for handling and analyzing data.

How does Amazon support employees with disabilities during the application and hiring process?

Amazon provides accommodations and adjustments for individuals with disabilities during the application and hiring process. Candidates can find more information at the provided accommodations link.

What is the location for this job position?

The job position is located in Karnataka, India.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.