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Swiggy

Do you have SQL experience?

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.&nbsp;&nbsp;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.&nbsp;&nbsp;What do you need to have?Bachelor's degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative fieldExperience in analytics/data science or related fieldHands-on experience on data manipulation tools like SQL, R, Python, Excel etc.Exposure to BI Platforms like Power BI, Tableau etc.Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.)Basic knowledge of machine learning techniques like Regression, Classification etc.What do we expect from you?&nbsp;Creative and structured thinking to solve real-world problemsFail fast, learn faster approachComfortable in a high-energy, fast-paced environmentProficient verbal and written communication skillsDetail-oriented with the ability to self-direct work in an unstructured environmentExcellent partnership and collaboration skills with the ability to work cross-functionallyGood organizational skills including prioritizing, scheduling, time management, and meeting deadlinesWhat will you work on?Work with large, complex data sets to solve business problems, applying advanced analytical methods as neededMonitor and forecast key business metrics regularlyConduct regular planning and reviews key performance metrics and aid in benefitting from changeIdentify the right metrics to track progress against a given business goalDesign, run and measure experiments to test business hypothesesExpedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platformsDevelop compelling stories with business insights, focusing on the strategic goals of the&nbsp;organizationWork with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.

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