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Retail Forecasting Jobs (NOW HIRING)

Mattel

Manager, Walmart Forecasting

Rogers, AR

At Mattel, our partnerships with our retail customers are critical to delivering the brands kids and families love. As Manager, Walmart Forecasting , you'll play a pivotal role in one of our most ...

Mattel

Manager, Walmart Forecasting

Rogers, AR · On-site

At Mattel, our partnerships with our retail customers are critical to delivering the brands kids and families love. As Manager, Walmart Forecasting , you'll play a pivotal role in one of our most ...

Mattel

Manager, Walmart Forecasting

Rogers, AR

At Mattel, our partnerships with our retail customers are critical to delivering the brands kids and families love. As Manager, Walmart Forecasting , you'll play a pivotal role in one of our most ...

THG

US Brand President | THG Beauty

New York, NY · On-site

Ensure operational readiness for retail: forecasting, replenishment, EDI, compliance and on-shelf execution * Identify emerging retail channels - prestige independents, specialty, digital ...

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Retail Forecasting information

See salary details

$11K

$69.4K

$94.5K

How much do retail forecasting jobs pay per year?

As of Jul 14, 2026, the average yearly pay for retail forecasting in the United States is $69,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $78,500.00 per year, depending on experience, location, and employer.

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

To excel in Retail Forecasting, you need strong analytical skills, proficiency in data analysis, and a background in business, mathematics, or a related field. Familiarity with forecasting software, statistical tools like Excel, SQL, and platforms such as SAP or Oracle is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating across departments. These competencies ensure accurate demand predictions, optimized inventory management, and better decision-making for retail success.

Will demand planners be replaced by AI?

Demand planners in retail forecasting use data analysis and predictive models to anticipate customer demand. AI tools can automate routine tasks and improve accuracy, but demand planning also requires industry knowledge and strategic judgment that are difficult to fully automate. Therefore, AI is likely to augment rather than replace demand planners in the foreseeable future.

What is forecasting in retail?

Retail forecasting is the process used by retail professionals to predict future sales, demand, and inventory needs based on historical data, market trends, and seasonal patterns. Accurate forecasting helps optimize stock levels, improve sales planning, and reduce costs. It often involves using statistical tools and software to analyze data and support decision-making.

What is the difference between Retail Forecasting vs Retail Data Analyst?

AspectRetail ForecastingRetail Data Analyst
Required CredentialsBachelor's in Business, Economics, or related field; experience in sales forecastingBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentCorporate retail teams, planning departmentsData teams, analytics departments within retail companies
Employer & Industry UsageRetail chains, e-commerce companiesRetail companies, consulting firms
Common Search & ComparisonYesYes

Retail Forecasting focuses on predicting future sales and demand to inform inventory and staffing decisions, often using statistical models. Retail Data Analysts interpret large datasets to uncover trends and insights, supporting strategic decisions. While both roles require analytical skills and industry knowledge, Forecasting emphasizes predictive modeling, whereas Data Analysts focus on data interpretation and reporting.

How much do trend forecasters get paid?

Trend forecasters in retail forecasting typically earn between $50,000 and $100,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals or those in senior roles can earn higher salaries, often supplemented with skills in data analysis and market research.

Is forecasting a good career?

Retail forecasting is a valuable career that involves analyzing sales data and market trends to predict future demand. It requires skills in data analysis, statistical tools, and industry knowledge, and offers opportunities for advancement in supply chain and inventory management roles.

How does a Retail Forecasting professional typically collaborate with sales and inventory teams to ensure accurate predictions?

Retail Forecasting professionals work closely with sales and inventory teams by regularly sharing data insights, market trends, and sales projections. They coordinate weekly or monthly meetings to review recent sales performance, discuss inventory levels, and adjust forecasts based on real-time feedback. This collaborative approach helps align supply with demand, minimizes stockouts or overstock situations, and ensures that forecasting models are continuously refined to reflect current business realities.

What is retail forecasting?

Retail forecasting is the process of predicting future sales, demand, and inventory needs within the retail industry. It uses historical data, market trends, and analytical models to estimate how much of each product will be sold over a specific period. Accurate retail forecasting helps businesses optimize inventory, reduce costs, and improve customer satisfaction by ensuring the right products are available at the right time. This process often involves advanced software tools and collaboration between various departments, such as marketing, sales, and supply chain management.
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What cities are hiring for Retail Forecasting jobs? Cities with the most Retail Forecasting job openings:
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Retail Forecasting jobs near you
Infographic showing various Retail Forecasting job openings in the United States as of July 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,363 per year, or $33.3 per hour.
Senior Data Scientist - Forecasting

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Remote

Full-time

Re-posted 8 days ago

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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