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Demand Planner

GIG Consultants
Posted on
GIG Consultants logo

Experience
1 - 4 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Demand Planner
Job Type
Not specified

Job Description

JD
Pointers -
  1. Total FMCG experience in demand planning. (This should be at least 3-4 years overall or 2 years most recent experience. )
  2. Total hands on Kinaxis Maestro experience. (This should be at least 3-4 years overall or 1-2 years most recent experience.)
  3. Experience managing demand planning for multiple global geographies. (3-4 years and above)
Role Requirements:
  • 8 10 years of experience in demand planning or a related role within consumer goods, food & beverage, or manufacturing industries.
  • Proven experience as a Demand Planner using an advanced digital planning tool, preferably Kinaxis Maestro.
  • Strong analytical skills with proficiency in supply chain software (Kinaxis Maestro highly desirable) and ERP systems such as SAP ECC, S4 Hana, and JDE.
  • Excellent written and verbal communication skills, with the ability to collaborate effectively with Commercial and Sales teams across regions.
  • Ability to manage multiple priorities in a dynamic, fast-paced environment.
Key Responsibilities:
  • Develop and maintain accurate demand forecasts using historical sales data, market trends, and statistical models within the global planning tool Kinaxis Maestro. This includes cleansing historical events, running statistical models, and integrating forward-looking intelligence.
  • Monitor and analyze demand planning KPIs such as forecast accuracy, forecast value add, and forecast bias.
  • Provide insights on demand trends, seasonality, and risks to improve planning accuracy.
  • Support the S&OP process by presenting updated demand insights and changes to key assumptions in collaboration with the PU S&OP Manager.
  • Participate and contribute to weekly S&OE and monthly S&OP meetings.
  • Collaborate with PU teams and the Global Demand Planning Excellence Lead to ensure adoption of global frameworks and best practices.
  • Continuously improve demand planning processes through data-driven insights.

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