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Demand Planning Specialist

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Demand Planning Specialist

Javen Technologies

Demand Planning Specialist

Skills

Data AnalysisMachine LearningSAP ERPChange Management

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹3,500,000 / year

Location:

India

Work mode:

Remote

Published on:

9 September 2026

What they need


Demand Planning Master Data Management

Create, maintain, and cleanse CVCs (Characteristic Value Combinations).

Maintain Demand Planning IDs and related planning master data.

Support EDI mapping activities.

Validate demand planning drivers and planning assumptions.

Product Lifecycle & Change Management

Support PIPO (Phase-In/Phase-Out) activities and NPI (New Product Introduction)

Execute commercial and forecast realignments.

Demand Analytics & Performance Monitoring

Perform outlier analysis and investigate forecast exceptions.

Review ASP (Average Selling Price) changes and demand impacts.

Operational Planning Support

Execute post-dated order reviews and exception checks.

Support weekly and monthly demand review processes.

Support additional forecasting and demand review activities required by local business teams.

Respond to ad hoc business requests and planning analyses.

REQUIRED QUALIFICATIONS

Experience

Minimum 35 years of experience in Demand Planning.

Strong understanding of the operational demand planning cycle.

Experience working within manufacturing, industrial, healthcare, technology, consumer goods, or related industries.

Experience supporting complex product portfolios.

System Knowledge

Hands-on experience with SAP APO-DP (mandatory).

Experience with demand forecasting tools and planning systems (preferably Kinaxis).

Advanced Microsoft Excel skills.

Forecast Planning & Maintenance

Manage product portfolios primarily driven by statistical forecasting.

Upload and maintain demand forecasts.

Execute forecast adjustments and realignments.

Support forecasting activities related to already open sales orders (FDO process).

Maintain forecast change percentages and statistical forecast parameters.

Compare statistical forecasts with machine learning forecasts and aggregated demand signals when required.

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