Demand Forecasting

Role & Responsibilities

Forecast Generation: Build and maintain rolling 3–6 months SKU-level demand models factoring in seasonality, historical trends, and new product launches (NPD).

S&OP / IBP Facilitation: Lead monthly consensus meetings with Sales, Marketing, and Finance to reconcile commercial targets with operational constraints.

Promotional & Market Alignment: Integrate inputs from trade marketing plans, consumer promotions, and competitor activities into baseline volume adjustments.

KPI Tracking: Monitor and report key metrics including Forecast Accuracy (FA/MAPE) and Forecast Bias (FB) at various aggregations (channels, regions, SKUs). Track, analyze, and publish monthly Forecast Accuracy and Forecast Bias reports, pinpointing root causes of error.

NPD Planning: Partner with Marketing to estimate volumes for New Product Developments (NPDs).

Exception Management: Identify and investigate demand spikes or drops to adjust future statistical baselines.

• Dashboard Ownership: Design and maintain automated data models, trackers, and Power BI/Tableau dashboards to report demand metrics.
• Executive Reporting: Prepare comprehensive Management Information System (MIS) packs highlighting inventory risks, stock-outs, and demand vs. financial plan gaps.
• Scenario Planning: Build "what-if" demand scenarios to support risk assessment and strategic decision-making during leadership reviews.
• Action Tracking: Monitor cross-functional action items from S&OP cycles to ensure deadlines are met before the final supply lock.Design and automate dashboards for sales, inventory, and forecast KPIs.
• Prepare MIS reports for leadership (sales vs forecast, stock cover, OTIF).
• Ensure data integrity across ERP/BI tools (SAP, Power BI, Tableau).
• Provide actionable insights from MIS reports to improve operational efficiency.

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• Skills & QualificationsEducation: Bachelor’s degree in Supply Chain, Statistics, Economics, Engineering
• Experience: 2 to 3 years of relevant experience within an FMCG handling demand forecasting of large SKU portfolios.
• Technical Stack: Advanced Excel (modeling, macros, power query), ERP/Planning systems (SAP APO/IBP, Oracle Demantra, Anaplan, or Kinaxis), and BI reporting tools (Power BI/Tableau).

Soft Skills: Exceptional stakeholder influencing, cross-functional communication, and conflict resolution capabilities. and bridge the gap between commercial and operations teams.

Must-Have

• Excel (PivotTables, VLOOKUP, XLOOKUP, forecasting models)
• Power BI or Tableau (dashboard creation, data visualization)
• ERP systems (SAP, Oracle, NetSuite, or similar)
• Demand planning methodologies (statistical forecasting, driver-based modeling)

Preferred

• Experience with retail or D2C beauty/personal care categories
• Working knowledge of SQL or Python for data extraction and automation

Pay: Up to ₹1,000,000.00 per year

Benefits:

• Food provided
• Paid sick time
• Provident Fund

Work Location: In person