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Demand Forecasting Jobs (NOW HIRING)

Amazon

Data Scientist, Demand Forecasting

Bellevue, WA · On-site

At Amazon, our Demand Forecasting team is tackling one of the most ambitious challenges in applied time series research: building large-scale foundation models that generalize across an enormous and ...

ASC Engineered Solutions

Demand Forecaster

Oak Brook, IL · On-site

$90K - $115K/yr

The ideal candidate will have strong forecasting and data analysis skills, industry knowledge, and the ability to anticipate market trends that impact product demand. How You Will Help * Develop ...

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How much do demand forecasting jobs pay per year?

As of May 30, 2026, the average yearly pay for demand forecasting in the United States is $82,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $96,000.00 per year, depending on experience, location, and employer.

What is a Demand Forecasting job?

A Demand Forecasting job involves analyzing historical sales data, market trends, and external factors to predict future product or service demand. Professionals in this role use statistical models, machine learning algorithms, and business insights to improve inventory management, reduce costs, and optimize supply chain operations. They collaborate with sales, marketing, and operations teams to ensure that businesses can meet customer demand efficiently while minimizing waste.

What are the key skills and qualifications needed to thrive in the Demand Forecasting position, and why are they important?

To thrive in Demand Forecasting, you need strong analytical abilities, proficiency in statistics, and a relevant degree in supply chain management, business analytics, or a related field. Familiarity with forecasting software such as SAP APO, Oracle Demantra, or advanced Excel, as well as certifications like APICS Certified in Planning and Inventory Management (CPIM), is highly valuable. Soft skills including attention to detail, strong communication, and problem-solving help professionals collaborate effectively across departments and explain complex forecasts to non-technical stakeholders. These skills are critical for accurately predicting demand patterns, minimizing inventory costs, and supporting strategic business decisions.

What are the typical day-to-day responsibilities of someone working in Demand Forecasting?

Professionals in Demand Forecasting typically analyze historical sales data, market trends, and seasonal variables to create accurate demand projections for products or services. They collaborate closely with sales, marketing, and supply chain teams to gather input and ensure forecasts align with business objectives and upcoming promotions. Day-to-day tasks often include data validation, reporting, monitoring forecast accuracy, and adjusting models in response to new information or unforeseen changes in the market. This role combines technical data analysis with cross-functional communication, making it both challenging and integral to efficient business operations.
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What cities are hiring for Demand Forecasting jobs? Cities with the most Demand Forecasting job openings:
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Demand Forecasting jobs near you
Infographic showing various Demand Forecasting job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $82,760 per year, or $39.8 per hour.

Mgr - Demand Forecasting and Demand Assurance

National Exchange Carrier Association

Morristown, NJ • On-site

$134.40K - $148.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

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. NECA’s benefits include, but are not limited to, Paid Time Off (PTO – Vacation, holiday and sick leave), Bonus Potential, 401(k) Retirement Savings Plan, Medical Plan with prescription plan, vision care and wellness plan, Dental Plan, Life Insurance (Company paid), other insurance programs (employee paid), Disability (short-term and long-term), Tuition Reimbursement, and access to various employee flexible spending accounts and discount programs.

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.

  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