- To design and implement the analytical projects for insights that drive the business goals and decisions (Ex : How to improve Order value, how to improve conversions etc)

- To define and track metrics which help evaluate the health of business

- To build automated alerting systems for proactive and preemptive actions

- To identify the right metric and contributes to the measurement framework for the respective business unit.

- To improve the accuracy of data through participation in data

- Would work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.

Requisites :

- Bachelor/Master's (preferred) degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field

- At least 3.5-5 years hands-on experience on data manipulation tools like SQL, R, SAS, Python, Excel etc.

- Experience in R, SAS, QlikView, Google Analytics, Mix Panel (GOOD TO HAVE)

- Excel, MySQL (MUST)- Should be able to write clean SQL queries.

- Should have basic understanding of statistics/ modelling.

- Experience with RDBMS and Business Intelligence is needed

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law"

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