Data Analyst, EasyShip

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.

Easy Ship (ES) was launched as a fulfilment channel (on the MFN stack) in India in January 2014. It started with providing a pickup/delivery service for sellers thus solving for poor CX caused by unreliable carriers as well as improving geographical coverage, reliability, speed of delivery and Sunday deliveries along with ensuring COD acceptance and full trackability.

The EasyShip BI team is looking for a professional who relishes diving deep into data. You will have the exciting opportunity to deliver on a strategy to enable broad use of Amazon Seller Services by small/medium sellers and large enterprises in India.
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 product 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.
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 - 1+ years of data analytics or automation experience
- Bachelors degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level
- Experience in data analytics or automation