Associate Product Manager – Planning

About the role

What you'll do

• Analytics and Problem Discovery (Core Focus)
• Analyse large datasets (orders, inventory, POs, GRNs, stock transfers, wastage) using SQL and Python to identify leakages across availability, DOH and expiry
• Build a deep understanding of why availability drops or stock expires: forecasting errors, vendor delays, parameter misconfiguration, warehouse bottlenecks, store-level constraints
• Create and maintain dashboards, alerts and reports that give planning and operations teams reliable visibility
• Run root-cause analyses on availability misses, high DOH pockets and expiry spikes, and quantify the impact in ₹ terms
• Product and Process Improvement
• Work with the PM to translate findings into product and system improvements: planning logic, parameters, thresholds, rules and automation
• Write clear problem statements and simple PRDs for changes to planning algorithms and tools
• Support forecasting and replenishment model improvements alongside data science and engineering
• Operational Partnership
• Work closely with warehouse, darkstore, procurement, category and vendor teams to understand ground realities and constraints
• Visit warehouses and stores when needed to see how things actually work

What you'll bring

• Strong SQL: comfortable with complex joins, window functions, CTEs and query optimisation on large datasets
• Strong Python: hands-on with pandas, numpy and visualisation libraries for analysis and automation; exposure to basic statistics or forecasting is a plus
• Analytical mindset: you break down ambiguous problems, form hypotheses, and go to the data to prove or disprove them
• Ownership and bias to action: you are not afraid of grunt work and will dig through messy data or spend a day on the warehouse floor to get to the truth
• Clear communication: able to explain a data insight simply to ops teams and senior stakeholders
• 1–3 years of experience in analytics, business analysis, supply chain, or a similar role (exceptional freshers with relevant internships or projects may be considered)
• Bachelor's degree, preferably in Engineering, Statistics, Mathematics, Economics or a related quantitative field
• Growth Path
• Your first phase will be data-heavy: becoming the go-to person for planning analytics and problem discovery. Over time, you will be groomed to:
• Own problem statements and write PRDs end to end
• Own specific planning modules or verticals (for example, FMCG replenishment or perishables)
• Drive roadmap prioritisation and stakeholder alignment