Swiggy Instamart, is building the convenience grocery segment in India. We offer more than 40000 + assortments / products to our customers within 10-15 mins. We are striving to augment our consumer promise of enabling unparalleled convenience by making grocery delivery instant and delightful. Instamart has been operating in 120+ cities across India and plans to expand to a few more soon. We have seen immense love from the customers till now and are excited to redefine how India shops.

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.

• 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, colour, religion, sex, disability status, or any other characteristic protected by the law.

Visit our tech blogs to learn more about some the challenges we deal with: https://medium.com/swiggy-bytes

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