Associate Director -Business Analytics

As the Associate Director -Business Analytics at Zepto, you will be a strategic leader driving data-backed decision-making across the organization. You will lead and scale the business analytics function, work closely with senior leadership to influence long-term strategy, and build a high performing analytics team. This role requires deep analytical expertise, cross-functional collaboration, and a strong understanding of business levers in a fast-paced environment.

##Key Responsibilities:

• Lead the end-to-end analytics charter across multiple business units such as Product, Growth, Supply Chain, Marketing, and Operations.

• Partner with CXOs and senior leaders to identify business opportunities and guide data- informed strategic decisions.

• Own and institutionalize key company-wide metrics, reporting frameworks, and data processes.

• Drive large-scale analytical initiatives including customer segmentation, churn modeling, demand forecasting, and pricing analysis.

• Mentor and manage a team of senior business analysts and analytics managers to deliver high-quality insights and drive operational efficiency.

• Build scalable das hboards and automation pipelines to democratize data across teams.

• Champion a culture of experimentation, A/B testing, and rigorous performance analysis.

• Collaborate closely with Data Engineering and Product teams to ensure clean, accessible, and reliable data infrastructure.

##Qualifications:

• Bachelor’s or Master’s degree in Engineering, Statistics, Economics, Mathematics, or a related quantitative field.

• 8–12 years of experience in business analytics, with at least 2–3 years in a leadership role.

• Prior experience in a high-growth startup, e-commerce, or consumer tech environment is highly preferred.

##Required Skills:

• Advanced proficiency in SQL and strong experience with data visualization tools (e.g., Tableau, Looker, Power BI).

• Hands-on knowledge of Python, R, or similar tools for statistical modeling and automation.

• Expertise in analytical techniques including forecasting, cohort analysis, LTV modeling, and funnel optimization.

• Deep understanding of business KPIs, especially in consumer internet or operational analytics contexts.

• Strong leadership and stakeholder management capabilities, with the ability to influence non-technical teams and C-level executives.

• Excellent communication and storytelling skills to translate complex data into business actions.