Through the Amazon Marketplace, Amazon provides individuals or enterprises the opportunity to sell their goods on the Amazon platform.
Worldwide, more than a million sellers use this Marketplace and thereby contribute to the success of Amazon. Amazon is growing its Marketplace aggressively worldwide.
In this context, Amazon India Seller Services is setting up a new service to help with driving selection improvement on Amazon.
In order to drive improvement in the Amazon selection, this program will contribute in identification and on-boarding of new selection and drive efficiency of the existing selection.
About the Role : We are looking for a hands-on, detail oriented and highly motivated data analyst to help create data backed insights that will drive selection improvement .
The candidate should be comfortable interfacing with technology systems and be able to analyze data and gather actionable conclusions.
Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations.
The candidate will be comfortable in executing repeatable processes., Bachelor's degree in Computer Science, Engineering, Operations Research, Math, or related discipline.
Minimum 2+ years of experience as an Analyst role preferred.
Highly proficient in Microsoft Office and Windows based applications.
SQL Knowledge and Hands-on experience is a must.
Demonstrated Analytical ability, results-oriented environment with external customer interaction.
Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.
Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment.
Experience with E-Commerce, Retail and Business Analytics would be an advantage.
Understanding of data warehousing, data modeling concept and building new DW tables
Advanced SQL skills, fluent in R and / or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms