Demand Forecaster and Analyst

Duties And Responsibilities:

Responsible for developing demand forecasts monitoring forecast performance maintaining databases related to demand and performing statistical and other quantitative analyses to ensure accurate and effective demand forecasting. You will analyze large datasets and perform quantitative analysis to identify industry trends and patterns in customer behavior use this information to develop and implement effective forecasting strategies make recommendations and support decisionmaking.

Analyze large data sets using statistical forecasting techniques and advanced analytics tools
Develop and maintain time series forecasting models incorporating machine learning algorithms and predictive analytics methodologies
Conduct indepth data analysis and visualization of historical data market trends and external factors influencing demand to identify patterns
Monitor data quality and forecast performance metrics and implement corrective actions as needed to minimize forecast error and bias
Monitor and continuously improve analytical methodologies and processes to enhance forecast accuracy
Collaborate with other teams within the organization to analyze market trends and understand customers business needs

EDUCATION:

Masters degree in a quantitative field such as Economics or Statistics required. Ph.D. in a quantitative field is preferred

EXPERIENCE:

46 years of experience with statistical modeling/forecasting or a PhD degree in lieu of working experience.

2 years of experience as a SAS/Python user.

KNOWLEDGE SKILLS & ABILITIES REQUIRED:
Proficiency in statistical analysis software such as SAS Python or R
Working knowledge of econometrics with a focus on time series analysis
Strong analytical and problemsolving skills
Working knowledge of data visualization software
Excellent communication and collaboration skills
Ability to work independently and manage multiple projects simultaneously