Measure, analyse and create short, medium and long term forecasts, maximizing item level forecast accuracy to drive supply chain optimization
Review historical sales trends, research demand drivers, prepare forecast data, develop statistical forecast models and evaluate forecast results
Experience/ ability to understand and work with multiple planning systems
Coordinate across functional teams to reconcile significant variances and refine the forecast model to reflect updated sales and other assumptions
Provide input to the Planning organization in developing inventory strategies on existing items, new products, and product phase-outs through appropriate analytical techniques
Develop analyses and schedules that become part of the Monthly reviews to the Senior Team
Communicate information with the multiple stakeholders, attend regular meetings to determine information and reporting to help prepare/refine forecasts, understand results, and aid business in decision making
Job functions – General:
Understand requirements from the Stakeholders, analyse the data and provide or suggest suitable solutions by quickly grasping business processes
Work on projects independently and has an ability to understand and solve problems
Be able to consistently collect, interpret, analyse and present the data to Senior Management
Act as liaison between IT and Business stake holders, identify automation requirements in the existing reporting/analytical projects and constantly work on optimizing the process
Convert Business problems into Analytical problems and work across multiple analytical platforms (Excel, Tableau, Qlik, SQL, SAS, Teradata, Greenplum, Minitab, Python, etc...)
Qualification/Requirments:
Bachelor's or Masters in the field of Computer Science, Statistics or Business Administration
3 to 6 years of experience in advanced forecasting/Analytical techniques, understanding of demand and supply concepts
Strong knowledge on Quantitative and qualitative methods, Time series methods (Moving average, weighted moving average, exponential smoothing, ARIMA etc...), regression models (GLM, Multiple variable, linear or nonlinear, ARMAX)
Expert level in MS Office Applications (Excel, Access, PowerPoint)
1 or 2 years' experience with any one of the Analytical/visualization tools such as Tableau, Qlik, Shiny etc...
3 or 4 years of experience in building Analytical/statistical models using any of the following R, Python, SAS, RapidMiner
Understanding of basic database concepts, ability to handle large complex data sets, hands on experience in SQL, MS Access etc...
Excellent written and oral communication skills, should be able to articulate analytical solutions or suggestions to senior management
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