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| Job Location | Kolkata |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Consumer Durables / Electronics |
| Functional Area | Operations Management / Process Analysis |
| EmploymentType | Full-time |
The incumbent should be an alumnus of NITIE / SPJIMR/SJMSOM/ IIMs from 2014 / 2015 / 2016 / 2017 passout batch with experience in Demand Planning , Forecasting and Supply Planning in a FMCG Company.- Manages demand forecasting, starting from getting forecast-tool output- Improves forecasting process efficacy KEY RESPONSIBILITIESStatistical modelling, identifying right algorithms- Review algorithm for each of the rate area-SKUs- Identify and refine parameter values for finalized algorithm- Regular cleansing of historical dataIdentifying weekly exceptions and developing action plan- Manage statistical forecast exceptions on a weekly basis, by collaborating with cross-functional teams- Prepare plan of action to manage the exception- Challenge received forecast, make required adjustments in bottom-up forecast via discussion- Review and challenge information- Driving consensus forecast by collaborative process with Sales, Marketing functions- Driving initiatives to improve forecast accuracy- Working with cross functional teams and managing statistical forecast exceptions on a weekly basis- Driving regional engagement in market intelligence and integrating into strategies for long term and short-term demand plans- Supporting management with risk assessments and mitigation activities, The incumbent should be an alumnus of NITIE / SPJIMR/SJMSOM/ IIMs from 2014 / 2015 / 2016 / 2017 passout batch with experience in Demand Planning , Forecasting and Supply Planning in a FMCG Company.- Manages demand forecasting, starting from getting forecast-tool output- Improves forecasting process efficacy KEY RESPONSIBILITIESStatistical modelling, identifying right algorithms- Review algorithm for each of the rate area-SKUs- Identify and refine parameter values for finalized algorithm- Regular cleansing of historical dataIdentifying weekly exceptions and developing action plan- Manage statistical forecast exceptions on a weekly basis, by collaborating with cross-functional teams- Prepare plan of action to manage the exception- Challenge received forecast, make required adjustments in bottom-up forecast via discussion- Review and challenge information- Driving consensus forecast by collaborative process with Sales, Marketing functions- Driving initiatives to improve forecast accuracy- Working with cross functional teams and managing statistical forecast exceptions on a weekly basis- Driving regional engagement in market intelligence and integrating into strategies for long term and short-term demand plans- Supporting management with risk assessments and mitigation activities,
Keyskills :
planningsalesnepasupply planningdemand planningmarket intelligencedemandintegrationcleansingcontaminated landengagementriskmarketingsupplyforecastingdemand forecastingmanagementintelligence