Director - Analytics

As the Head of IM and Food Analytics and Data Products at Swiggy, you will be responsible for leading a high-performing team and managing analytics functions across a variety of products, strategies, and operational ecosystems. Your role will involve managing 4-5 work streams and working directly with senior business stakeholders across different departments. You will lead a team of 20-25 analysts, bringing strategic thinking, analytical frameworks, and expertise in building high-performing teams through coaching and development. Your responsibilities will include thought leadership, cross-functional partnerships, and building next-generation analytics solutions. You will drive a data-backed culture and create an impact through data. Qualifications Required: - Bachelor's/Master's (preferred) degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field - 12-15 years of overall experience working in analytics with 8+ years managing large teams including people managers - At least 10 years of hands-on experience in the technical domain of analytics - Analytical and strategic thinker with experience solving problems using data, providing practical business insights, and driving operational improvements - Ability to work with ambiguity, unknown variables, and missing context, and find ways to bridge those gaps when necessary - Experience in implementing testing models like hypothesis, regression, etc to move the team to predictive and prescriptive analysis - Self-starter, motivated individual who works well under pressure in a fast-paced environment In this role, you will: - Lead and nurture a high-performing team focused on excellence - Convert complex and ambiguous business situations into insightful analysis to expedite decision making - Cultivate an understanding of how analytics connects to business strategy and partner effectively with various functional teams - Maintain a customer-centric focus and develop trust amongst peers and leaders - Be an advocate for data-driven decision-making and focus on big picture takeaways while understanding underlying details - Identify the right metrics/measurement frameworks and design experiments to test business hypotheses - Expedite root cause analyses and insight generation through automation and self-serve platforms - Collaborate with Business, Product, and Data engineering teams for continuous improvement of data accuracy - Set high standards in project management, skill-building, and performance benchmarks for the team - Own prioritization with stakeholders and create a roadmap/strategy for the business unit in collaboration with stakeholders If you are excited about decoding hyperlocal challenges and have the required experience and skills, come and join us on this journey at Swiggy. As the Head of IM and Food Analytics and Data Products at Swiggy, you will be responsible for leading a high-performing team and managing analytics functions across a variety of products, strategies, and operational ecosystems. Your role will involve managing 4-5 work streams and working directly with senior business stakeholders across different departments. You will lead a team of 20-25 analysts, bringing strategic thinking, analytical frameworks, and expertise in building high-performing teams through coaching and development. Your responsibilities will include thought leadership, cross-functional partnerships, and building next-generation analytics solutions. You will drive a data-backed culture and create an impact through data. Qualifications Required: - Bachelor's/Master's (preferred) degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field - 12-15 years of overall experience working in analytics with 8+ years managing large teams including people managers - At least 10 years of hands-on experience in the technical domain of analytics - Analytical and strategic thinker with experience solving problems using data, providing practical business insights, and driving operational improvements - Ability to work with ambiguity, unknown variables, and missing context, and find ways to bridge those gaps when necessary - Experience in implementing testing models like hypothesis, regression, etc to move the team to predictive and prescriptive analysis - Self-starter, motivated individual who works well under pressure in a fast-paced environment In this role, you will: - Lead and nurture a high-performing team focused on excellence - Convert complex and ambiguous business situations into insightful analysis to expedite decision making - Cultivate an understanding of how analytics connects to business strategy and partner effectively with various functional teams - Maintain a customer-centric focus and develop trust amongst peers and leaders - Be an advocate for data-driven decision-making and focus on big picture takeaways while understanding underlying