Easter Seals Jobs

Description

Amazon's vision is to be the earths most customer centric company . The ambition of the Amazon Pay business is to transform payments in India. This role is of a business and operations analyst- mainly has two responsibilities: a) analyzes business data through tools like SQL, excel, tableau etc and comes up with segments, data-cuts, recommendations. b) On operations side, the individual works with external merchants/brands in executing small/medium size business or marketing initiatives.

The individual will have to interact extensively with members within the Category, Data and Ops teams and across business lines. There will be a steep learning curve, adding a fair amount of business skills and growth opportunities to the individual. This role requires 1-3 years of previous work experience of a) data analysis tools (SQL, excel and tableau) and b) account managing small/medium size brands/sellers.

A day in the life:

Work with category and product teams within bill payments and money transfers in deep-diving on business problems using SQL, data, work on monthly offers planning through data-deep dives and work with external brands like telcos, DTH or subscription providers in executing growth partnership ideas. In a nutshell this is a business analyst + category sales specialist.

About the hiring group

Job responsibilities

Key job responsibilities

• Analyses data using SQL, Excel, QuickSight & provides actionable insights.

• Does exploratory analysis: Fetches data from systems, analyzes trends, writes medium to complex SQL queries

• Works closely with Business operations, Category, Customer Service, Tech and Marketing teams

• Owns & improves core processes which involves working with multiple stakeholders across business and functions

Basic Qualifications

• 1+ years of data analytics or automation experience

• Knowledge of data pipelining and extraction using SQL

• Knowledge of SQL and Excel at a moderate or advanced level

• Bachelor's degree

• 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

Preferred Qualifications

• 2+ years of data analytics or automation experience