Manager - Demand forecasting and Demand Assurance
The National Exchange Carrier Association Inc. is a membership association of U.S. local telecommunications companies. We are dedicated to helping our members provide broadband-based solutions to keep their customers connected on advanced communications networks. Applicants must be currently authorized to work in the United States on a full-time basis. NECA will not sponsor applicants for work visas.
Benefits: Our benefits program has been designed with the needs of our employees in mind, providing assistance in balancing work and life today, as well as planning for the future. In addition to training and development, which supports employees’ vertical and horizontal growth opportunities, we offer a variety of benefits, many of which begin immediately upon hire.
Position Title: Manager - Demand forecasting and Demand Assurance
Work Location: Morristown, NJ
Supervisory Position: No
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 and make recommendations and support decision making.
- 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 in-depth 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
- Open to acquiring new skills as needed
SUPERVISORY:
None
EDUCATION:
Master's degree in a quantitative field such as Economics or Statistics required
PhD in quantitative field preferred
LICENSES &/OR CERTIFICATES:
None required
EXPERIENCE:
4-6 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 problem-solving skills
Working knowledge of data visualization software
Excellent communication and collaboration skills
Ability to work independently and manage multiple projects simultaneously
WORKING CONDITIONS: Normal office environment.
HAZARDS: Those found in a professional office.