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Sales Forecasting Jobs (NOW HIRING)

Khloud

Sales Forecaster

$120K/yr

Bachelor's degree in Business, Supply Chain, or Finance. * 3-5 years of forecasting, sales planning, or demand planning in CPG. * Strong Excel and data analysis skills; experience with ERP or ...

Calderys

Sales Enablement Partner

Pittsburgh, PA

It supports sales forecasting, pipeline planning, and pricing strategy while ensuring effective adoption of CRM and sales enablement tools. By delivering actionable business intelligence and ...

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Sales Forecasting information

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$22.5K

$81.6K

$154.5K

How much do sales forecasting jobs pay per year?

As of Jul 9, 2026, the average yearly pay for sales forecasting in the United States is $81,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $96,500.00 per year, depending on experience, location, and employer.

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

To thrive in Sales Forecasting, you need strong analytical abilities, statistical knowledge, and experience in data-driven decision-making, often supported by a degree in business, finance, or a related field. Familiarity with analytics platforms like Microsoft Excel, Salesforce, or SAP, as well as certifications in data analysis or forecasting methods, is highly beneficial. Excellent communication, attention to detail, and problem-solving skills help you translate complex data into actionable business insights. These skills are crucial for providing accurate sales projections that guide business strategy and help teams meet organizational goals.

How much do trend forecasters get paid?

Trend forecasters, including those involved in sales forecasting, typically earn between $50,000 and $100,000 annually, depending on experience, industry, and location. Senior or specialized forecasters with advanced skills in data analysis and forecasting tools can earn higher salaries, often exceeding $120,000 per year.

Is forecasting a good career?

Sales forecasting is a valuable career that involves analyzing data and market trends to predict future sales performance. It requires skills in data analysis, Excel, and sometimes specialized software, and offers opportunities in various industries with potential for advancement. The role is often stable and essential for strategic planning within organizations.

What is a sales forecast job description?

A sales forecast job involves analyzing historical sales data, market trends, and sales pipeline information to predict future sales performance. The role typically requires proficiency with data analysis tools, such as Excel or specialized forecasting software, and strong analytical skills to support business planning and decision-making.

What does a sales forecast do?

A sales forecast is a key responsibility of sales forecasting professionals, involving estimating future sales revenue based on historical data, market trends, and sales pipeline analysis. It helps businesses plan inventory, set targets, and allocate resources effectively. Accurate forecasting requires analytical skills and familiarity with tools like spreadsheets or specialized software.

What is a Sales Forecasting job?

A Sales Forecasting job involves analyzing historical sales data, market trends, and business insights to predict future sales performance. Professionals in this role use statistical models, data analytics tools, and industry knowledge to help businesses make informed decisions about inventory, budgeting, and strategy. Their forecasts guide sales targets, resource allocation, and overall business planning. Strong analytical skills and expertise in data interpretation are essential for success in this role.

What are typical challenges faced in a Sales Forecasting role and how can they be managed?

One of the primary challenges in Sales Forecasting is dealing with incomplete or rapidly changing data, which can make predictions less accurate. Forecasters often need to collaborate closely with sales, marketing, and operations teams to gather reliable information and adjust models to reflect current business realities. Staying updated on market trends and customer behavior is essential to improve forecast accuracy. While the job can be demanding during planning cycles or new product launches, strong teamwork and effective use of forecasting tools help mitigate these challenges and ensure success.

More about Sales Forecasting jobs
What states have the most Sales Forecasting jobs? States with the most job openings for Sales Forecasting jobs include:
What job categories do people searching Sales Forecasting jobs look for? The top searched job categories for Sales Forecasting jobs are:
Sales Forecasting jobs near you
Infographic showing various Sales Forecasting job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,617 per year, or $39.2 per hour.
Senior Data Scientist - Forecasting

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR • On-site

Full-time

Posted 3 days ago

New

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.
You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements
    • 10+ years of experience in applied data science or advanced analytics
    • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
    • Strong domain experience in CPG, FMCG, retail, or similar industries
    • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
    • Strong SQL skills for large-scale data processing
    • Proven experience deploying models in cloud environments (Azure preferred)

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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