Mgr - Dem For and Earn Assess at National Exchange Carrier Association

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.  

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 analytics

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.

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 

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.

Salary Range: 

    25%ile                   50%ile                  75%ile

 $120,800            $134,400           $148,300