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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Consumer Durables / Electronics |
| Functional Area | Sales / BDStatistics / Analytics |
| EmploymentType | Full-time |
What you need to have Bachelors degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field 1-3 years of experience in analytics/data science or related field Hands-on experience on data manipulation tools like SQL, R, SAS, 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 for Regression, Classification etc. What we expect from you Creative thinking to solve real-world problems Fail fast, learn faster approach Comfortable in a high-energy, fast-paced environment Proficient verbal and written communication skills Detail-oriented with the ability to self-direct work in an unstructured environment Excellent partnership and collaboration skills with the ability to work cross-functionally Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines. What will you work on Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed Monitor and forecast key business metrics on a regular basis Conduct regular planning and reviews key performance metrics and aid in benefitting from change Identify the right metrics to track progress against a given business goal Design, run and measure experiments to test business hypotheses Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms Develop compelling stories with business insights, focusing on strategic goals of the organisation Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Swiggy is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.,
Keyskills :
documentation functional requirements secase datamanipulation behavioraltraining businessinsights rootcause timemanagement powerbi dataengineering machinelearning businessrequirements customerrelations