Senior Manager - Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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. 

What qualities are we looking for?

• Bachelors/Master’s (preferred) degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
• 8-10 years work experience in analytics/data science or related field
• At least 4-5 years hands-on experience as an Analyst
• Excellent knowledge of statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.)
• Excellent knowledge of machine learning techniques for Regression, Classification etc.

What will you get to do here?

• 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 right metrics/measurement frameworks 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
• Set high standards in project management; own scope and timelines for the team
• Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)
• Plan team sizing and own hiring for to meet the required size
• Set performance benchmarks for the team; provide feedback and appraise the team at regular intervals
• Own prioritisation with stakeholders; negotiate and ensure high impact for work
• Create roadmap/strategy for respective business unit in collaboration with stakeholders
• This is a team management role with the expectation of leading mid-size teams