Director - Analytics

ABOUT THE TEAM & ROLE:

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.

Our Analytics team comprises product & Business analysts who focus on improving customer/product/driver/restaurant experience by providing top-line reporting solutions, ML, business intelligence analytics, and strategic solutions to product and engineering teams by providing actionable insights, Identifying potential opportunities. The Analytics function operates in a centralized manner and cuts through all business, engineering, product, and design teams

The Analytics team at Swiggy partners with decision-makers to solve problems across our entire value chain. Improving our intelligence on customers and providing customized journeys, solving complex optimizations for DEs and restaurant businesses, and predicting demand in hyperlocal geographies are all examples of the repertoire of projects that we undertake. If decoding hyperlocal excites you then come, and join us on this journey.

What qualities are we looking for

We're currently looking for the Head of our IM and Food, Analytics, and Data products, with at least 12-15 years of the overall experience, and 8+ years of experience in leading a high-performing team and managing analytics functions across a spectrum of products, strategy & operational ecosystems. The role would entail managing 4-5 work streams working with senior business stakeholders (director +) directly across product/strategy/Engg, managing a team of 20-25 analysts to begin with.

This leader should bring excellent strategic thinking and analytical frameworks to uplevel the team and current operating model, and expertise in building high-performing teams through coaching and development. Thought leadership & cross-functional partnerships with stakeholders (engineering, product, business, etc) to build next-generation analytics solutions. This leader would be expected to further our data-backed culture and create an impact through data. An ideal candidate will have :

• 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 and 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
• She/ he will be Self-starter, motivated individual who works well under pressure in a fast-paced environment

What will you get to do here

• Lead and Nurture a high-performing team that thrives on excellence
• Convert complex & ambiguous business situations and utilize team strength & expertise to provide insightful analysis to expedite decision making
• Cultivate an understanding of how analytics connects to business strategy and how analysts can effectively partner with various functional teams to build data-driven strategies and plans.
• Maintain a customer-centric focus: strive to be a domain and product authority through data, develop trust amongst your peers and leaders
• Be an advocate for data-driven everything with the ability to focus on the big picture takeaways of any analysis while being able to speak to the underlying details
• Identify the 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
• 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.)
• Set performance benchmarks for the team; provide feedback and appraise the team at regular intervals
• Own prioritization with stakeholders; negotiate and ensure high impact for work
• Create a roadmap/strategy for the respective business unit in collaboration with stakeholders