The Opportunity

Mandate : 3 days work from office.

About Swiggy Founded in 2014, Swiggy is India’s leading tech-driven on-demand delivery platform with a vision to elevate the quality of life for the urban consumer by offering unparalleled convenience. The platform is engineered to connect millions of consumers with hundreds of thousands of restaurants and stores across 500+ cities. Our phenomenal growth has come on the back of great technology, incredible innovation and sound decision-making.

The Analytics team at Swiggy partners with decision-makers to solve problems across our entire value chain. Improving menus for our restaurant partners, to developing incentives for delivery executives, recommending the best channel for marketing to consumers, and predicting demand in hyperlocal geographies are all examples of the repertoire of projects that we undertake. If decoding hyperlocal excites you then come, join us on this journey.

Responsibilities

To generate focused and conclusive output on a business use-case as per requirement.
To create/publish conclusive intelligence in article/dashboard/report forms and helps drive decision making.
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"