
Team Lead
Flipkart
This job at a glance
- Who can apply
- 1–6 years of experience
- Must know
- OperationsStatisticsData analysisETLData visualizationProduct management
- Work
- On-site in Bengaluru
- Pay
- ₹4–9 LPA
- Skill demand
- Operations44%Statistics7%ETL7%Data analysis4%of 100 similar fresher jobs posted in India this week
- Listed
- 5 Nov 2026 · still open
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Team Lead - Franchise & Central Operations
Role Overview
As the Team Lead for Franchise & Central Operations, you will serve as the analytical backbone for Flipkart's Dark Store and Last-Mile operations. This role leverages advanced data analytics, statistical modeling, and financial data insights to optimize 3PL/Franchisee performance, drive cost efficiencies across the network P&L, and execute data-backed network expansion strategies.
Key Responsibilities
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Operational Analytics & Partner Performance Management
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3PL/Franchisee Performance Engine: Build data pipelines, telemetry dashboards, and tracking models to evaluate 3PL and Franchisee partners across Dark Store and Last-Mile operations.
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SLAs & Compliance Modeling: Establish quantitative Vendor Management frameworks to monitor real-time SLA adherence, error rates, and tech adoption, using automated reporting to trigger corrective action workflows.
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Data-Driven Partner Engagement: Apply quantitative insights and KAM principles to structure strategic discussions, incentive structures, and efficiency roadmaps with key 3PL and Franchisee partners.
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Data-Led Network Expansion & Infrastructure Setup
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Predictive Site Finalization: Partner with Real Estate analytics to evaluate site suitability using spatial analysis, demographic density modeling, order-volume forecasts, and financial yield metrics.
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Project Tracking & SLA Execution: Utilize data-driven project management tools to track end-to-end infra setup, milestone completion rates, CAPEX variance, and go-live readiness for new Dark Stores.
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Financial Analytics, Budgeting & P&L Optimization
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CAPEX & OPEX Modeling: Formulate data-driven CAPEX models for network expansion and predictive OPEX budgets for Dark Store and Last-Mile logistics.
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P&L Data Ownership: Deep-dive into regional P&L line items, conducting cost-per-order (CPO) variance analysis, unit-economic modeling, and profitability sensitivity analysis to identify cost-leakage and revenue-accretive opportunities.
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Core Metric Ownership & Deep-Dive Analytics
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Operational KPI Ownership: Own primary quantitative metrics including CPH (Calls/Orders per Hour), OOTD (Out-on-Time Delivery), Fulfillment Rate, Order Accuracy, Cost Per Order (CPO), and NPS/Partner CSAT.
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Root-Cause & Capacity Forecasting: Perform cohort analysis, bottleneck diagnostics, and dynamic capacity/demand forecasting using statistical tools to optimize workforce and inventory planning.
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Quantitative Leadership & Team Management
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Metrics-Driven Leadership: Instill a strong data-first culture within internal operations teams and partner staff, setting quantitative KPIs, performance benchmarks, and objective performance evaluations.