Business Analytics Manager

Zepto; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Zepto is hiring a Senior Manager I – Business Analytics to drive planning, performance tracking, and decision-making across demand and supply. You will own analytics for OPD, governance, projections, and metrics that explain growth and operational performance.

You will partner with multiple teams to translate data into clear priorities, actionable recommendations, and measurable outcomes, while leading analytics initiatives and mentoring analysts.

Qualifications

• 4-8 years of experience in business analytics with leadership experience.
• Proficient in SQL and data visualization tools (Tableau/Power BI/Looker).
• Experience in forecasting, root-cause analysis, cohort analysis, and evaluating business initiatives.

Responsibilities

• Own analytics for OPD, growth analytics, and governance across demand and supply.
• Lead daily/weekly/monthly performance scorecards and ensure data quality.
• Develop forecasts and planning scenarios incorporating seasonality, events, and promotions.
• Evaluate supply health, stock levels, replenishment, and fill rates to identify constraints.
• Translate data into actionable recommendations for senior stakeholders.

Skills

SQL

Excel/Google Sheets

Stakeholder management

Forecasting

Education

Engineering degree

Statistics/Mathematics/Economics

Tools

Tableau

Power BI

Looker

Excel

Google Sheets

Python

R

Job description

We are looking for a Senior Manager I – Business Analytics to drive business planning, performance tracking, and decision-making across demand and supply. This role will own analytics for Orders per Day (OPD), business governance, projections, and the metrics that explain growth and operational performance.

You will partner with business, category, growth, supply chain, operations, and finance teams to translate data into clear priorities, actionable recommendations, and measurable outcomes.

Key responsibilities

• OPD and growth analytics: Track OPD performance across cities, stores, categories, and customer cohorts. Explain deviations from plan, identify growth opportunities, and quantify the impact of business interventions.
• Business governance: Own daily, weekly, and monthly performance scorecards and review mechanisms. Establish consistent metric definitions, validate data quality, and drive follow-through on actions with clear owners and timelines.
• Projections and planning: Build demand and OPD forecasts for near-term execution and longer-term planning. Incorporate seasonality, events, promotions, expansion, and customer trends; develop scenarios and improve forecast accuracy.
• Supply-side analytics: Evaluate availability, assortment depth, stock outs, inventory health, replenishment, fill rates, and supply readiness. Identify constraints affecting demand fulfilment and recommend corrective actions.
• Demand-side analytics: Analyse customer acquisition, activation, retention, order frequency, conversion, average order value, and category mix. Identify the drivers of demand and assess the effectiveness of growth initiatives.
• Integrated business insights: Connect demand signals with supply capacity to identify gaps, estimate their impact on orders and revenue, and recommend trade-offs across growth, availability, and efficiency.
• Analytics leadership: Lead and mentor analysts, prioritise the analytics road map, and build scalable dashboards and analytical frameworks. Communicate insights and recommendations clearly to senior stakeholders.

What we are looking for

• 4-8 years of experience in business analytics, including experience leading projects or teams.
• Strong SQL skills and hands-on experience with Excel/Google Sheets and BI tools such as Tableau, Power BI, or Looker. Python or R proficiency is preferred.
• Experience in forecasting, root-cause analysis, cohort analysis, and evaluating business initiatives.
• Strong understanding of demand and supply metrics, preferably in quick commerce, e-commerce, retail, or consumer technology.
• Ability to structure ambiguous problems, distinguish symptoms from underlying drivers, and turn analysis into business decisions.
• Strong stakeholder management, communication, and execution skills.
• A degree in engineering, statistics, mathematics, economics, or a related quantitative discipline.