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Forecasting Analyst Data Scientist Jobs (NOW HIRING)

Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field. * 3+ years of experience in a retail business analyst, sales forecasting, or similar analytical role.

Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field. * 3+ years of experience in a retail business analyst, sales forecasting, or similar analytical role.

Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field. * 3+ years of experience in a retail business analyst, sales forecasting, or similar analytical role.

We are currently looking for an Lead / Sr Analyst Data Scientist for our Houston, TX office ... Develop time series forecasting, anomaly detection, and classification models for operational and ...

We are currently looking for an Lead / Sr Analyst Data Scientist for our Houston, TX office ... Develop time series forecasting, anomaly detection, and classification models for operational and ...

We are currently looking for an Lead / Sr Analyst Data Scientist for our Houston, TX office ... Develop time series forecasting, anomaly detection, and classification models for operational and ...

... forecasting. * Analyze large structured and unstructured datasets to identify trends, risks ... Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or ...

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Forecasting Analyst Data Scientist information

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$34K

$82.6K

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How much do forecasting analyst data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for forecasting analyst data scientist in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

AspectForecasting Analyst Data ScientistData Analyst
Required CredentialsBachelor's or master's in statistics, data science, or related fields; often certifications in analytics or data scienceBachelor's degree in statistics, mathematics, or related fields; certifications are optional
Work EnvironmentFinancial, retail, or supply chain industries focusing on predictive modeling and forecastingVarious industries analyzing data trends, creating reports, and supporting decision-making
Employer & Industry UsageUsed in industries requiring forecasting and predictive analyticsWidely used across industries for data reporting and analysis

Forecasting Analyst Data Scientist focuses on predictive modeling and forecasting using advanced analytics, while Data Analysts primarily interpret existing data to generate reports. Both roles require strong analytical skills, but the Data Scientist often employs more complex algorithms and machine learning techniques.

What are popular job titles related to Forecasting Analyst Data Scientist jobs?

For Forecasting Analyst Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Forecasting Analyst Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sales Forecasting Analyst

Lehi, UT

Trove Brands
Retail • 51 - 200 employees

Full-time

Re-posted 25 days ago


Trove Brands rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

The Sales Forecasting Analyst plays a key role in driving business performance across Trove Brands' international accounts through accurate forecasting, data analysis, and actionable insights. This role analyzes sales trends, point-of-sale data, and market dynamics to improve forecast accuracy and support strategic decision-making. Working cross-functionally with Sales, Supply Chain, and Finance, the Sales Forecasting Analyst helps align demand forecasts with broader business and operational plans. This role is ideal for a proactive, analytical problem-solver who thrives in a fast-paced, collaborative environment.

Key Responsibilities
  • Develop and maintain accurate sales forecasts using historical sales, point-of-sale trends, market dynamics, and retailer performance data.
  • Analyze performance across products, retailers, and international accounts, translating findings into actionable business insights and recommendations.
  • Monitor forecast accuracy, identify drivers of forecast variance, and recommend adjustments to improve future performance.
  • Support promotional, seasonal, and new product launch planning by anticipating changes in demand and sales volume.
  • Partner cross-functionally with Sales, Supply Chain, and Finance to align sales forecasts with demand, inventory, and production planning.
  • Leverage data visualization, AI tools, and automation workflows to improve analytical efficiency, reporting, and business insights.
  • Support Sales representatives in building collaborative relationships with external retail merchant teams while monitoring relevant industry and market trends.
Required Qualifications
  • Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field.
  • 3+ years of experience in a retail business analyst, sales forecasting, or similar analytical role.
  • Advanced proficiency in Excel, including lookups, PivotTables, conditional functions, and data analysis.
  • Strong analytical and problem-solving skills with demonstrated ability to translate complex data into clear, actionable insights.
  • Experience with data visualization and reporting tools.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Excellent written and verbal communication skills with a collaborative, customer-focused approach.
Desired Qualifications
  • Experience supporting international retail accounts or working within international sales environments.
  • Knowledge of retail industry best practices and retailer forecasting processes.
  • Experience with Omni or similar retail analytics platforms.
  • Experience with Python and/or SQL.
  • Proficiency in PowerPoint and presenting data-driven insights to stakeholders.
  • Experience leveraging AI tools, LLMs, or automation workflows to improve forecasting, analysis, or reporting.

What Trove Brands employees say

Pay

Hours and flexibility

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