Statistical Analyst (Demand & Forecasting)

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

EXPERIENCE:

4 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

EDUCATION:

Master's degree in a quantitative field such as Economics or Statistics required

PhD in quantitative field preferred