Job Description
Top 3 Responsibilities:
• Influence: Use data to discover insightful issues & opportunities across all value streams and KPIs. Lead & partner with function heads to solve those issues & exploit those opportunities. Guide strategic decisions on org-wide priorities.
• Initiate: Lead the application of data analytics and applied data science for business problems like churn prevention, margin optimization, marketing spends optimization, LTV estimation, demand forecast, prescription interpretation, discount discrimination, etc.
• Inspire: Champion a data-informed culture throughout the organization. Lead a team of a dozen data analysts & scientists in the telling of quant & qual stories. Lead company into the world of modern AI-enabled data practices.
Top 3 Must Haves:
• At least 8 years of data analytics, BI, and data science experience including at least 3 years in a managerial role (hiring, mentoring, etc)
• Top-tier business and outcome orientation. This is not a back-room role. This is a visible leadership role that continuously identifies opportunities & delivers on them by leading & partnering with stakeholders & execs.
• Demonstrated track record of applying deep technical expertise to diagnose business problems rationally and solving them relentlessly. Note that we’re NOT an AI lab doing cutting-edge research; this role demands strategizing, application, & execution.
Top 3 Good to Haves:
• At least 2 years experience in ecommerce including one year in the pharmacy space
• Hands-on experience with the modern data stack (MCPs, Vector DBs, etc.)
• Informed opinions on designing a scalable, future-proof data infrastructure in early stage startups.
Top 3 things we evaluate in the selection process:
• Data leadership: Outcome orientation, team management, pipeline ownership, stakeholder partnership, and executive influence.
• Technical skills: Hands-on Tableau, SQL, and Python skills, and knowledge of various statistical techniques, decision trees, and learning paradigms. While this is a leadership role, we value leaders who can stay close to the code.
• Deep relevant knowledge: Strategies for practical application of data science & machine learning solutions for retail / ecommerce.
Top 5 things we offer:
• A high-visibility high-latitude role in a flat org with opportunity to directly work with & learn from founders & seasoned leaders.
• Competitive compensation with ESOPs.
• A terrific problem space in a durable business (8 years done, decades to go) that involves shifting consumer trust towards affordable generic medicines in a market where chronic diseases secure a consistent demand.
• A no-BS non-toxic org where outcomes matter above optics
• A real opportunity to directly make a material difference to the lives of crores of Indians. Imagine Steve Jobs telling John Sculley “Do you want to sell sugar water for the rest of your life, or come with me and change the world?”
• Influence: Use data to discover insightful issues & opportunities across all value streams and KPIs. Lead & partner with function heads to solve those issues & exploit those opportunities. Guide strategic decisions on org-wide priorities.
• Initiate: Lead the application of data analytics and applied data science for business problems like churn prevention, margin optimization, marketing spends optimization, LTV estimation, demand forecast, prescription interpretation, discount discrimination, etc.
• Inspire: Champion a data-informed culture throughout the organization. Lead a team of a dozen data analysts & scientists in the telling of quant & qual stories. Lead company into the world of modern AI-enabled data practices.
Top 3 Must Haves:
• At least 8 years of data analytics, BI, and data science experience including at least 3 years in a managerial role (hiring, mentoring, etc)
• Top-tier business and outcome orientation. This is not a back-room role. This is a visible leadership role that continuously identifies opportunities & delivers on them by leading & partnering with stakeholders & execs.
• Demonstrated track record of applying deep technical expertise to diagnose business problems rationally and solving them relentlessly. Note that we’re NOT an AI lab doing cutting-edge research; this role demands strategizing, application, & execution.
Top 3 Good to Haves:
• At least 2 years experience in ecommerce including one year in the pharmacy space
• Hands-on experience with the modern data stack (MCPs, Vector DBs, etc.)
• Informed opinions on designing a scalable, future-proof data infrastructure in early stage startups.
Top 3 things we evaluate in the selection process:
• Data leadership: Outcome orientation, team management, pipeline ownership, stakeholder partnership, and executive influence.
• Technical skills: Hands-on Tableau, SQL, and Python skills, and knowledge of various statistical techniques, decision trees, and learning paradigms. While this is a leadership role, we value leaders who can stay close to the code.
• Deep relevant knowledge: Strategies for practical application of data science & machine learning solutions for retail / ecommerce.
Top 5 things we offer:
• A high-visibility high-latitude role in a flat org with opportunity to directly work with & learn from founders & seasoned leaders.
• Competitive compensation with ESOPs.
• A terrific problem space in a durable business (8 years done, decades to go) that involves shifting consumer trust towards affordable generic medicines in a market where chronic diseases secure a consistent demand.
• A no-BS non-toxic org where outcomes matter above optics
• A real opportunity to directly make a material difference to the lives of crores of Indians. Imagine Steve Jobs telling John Sculley “Do you want to sell sugar water for the rest of your life, or come with me and change the world?”
💡 Quick Summary
Seeking a career-building opportunity? The Director - Data Analytics & Data Science position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in India offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
