Data Analytics (Demand forecasting and analytics)

Hybrid work opportunity offering an excellent work-life balance, with excellent medical and dental benefits beginning immediately upon hire.

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 decision-making.

EXPERIENCE:

Must demonstrate a thorough understanding of theories and techniques in Econometric and Time Series Analysis, with extensive expertise in both hands-on data analytics and collaborative teamwork.

4-6 years of experience with statistical modeling/forecasting or a Ph.D. degree instead of working experience will be considered.

Two years of experience as a SAS/Python user.

1. Analyze large data sets using statistical forecasting techniques and advanced analytics tools.
2. Develop and maintain time series forecasting models, incorporating machine learning algorithms and predictive analytics methodologies.
3. Conduct in-depth data analysis and visualization of historical data, market trends, and external factors influencing demand to identify patterns.
4. Monitor data quality and forecast performance metrics and implement corrective actions as needed to minimize forecast error and bias.
5. Monitor and continuously improve analytical methodologies and processes to enhance forecast accuracy.
6. Collaborate with other teams within the organization to analyze market trends and understand customers' business needs.
7. Open to acquiring new skills as needed.