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Overnight Economic Forecasting Analyst 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.

Data Analytics and Predictive Modeling Develops and maintains economic forecasting models, scenario analyses, and predictive tools to support strategic planning and policy decisions. Uses statistical ...

Load Forecasting Analyst

Akron, OH · On-site

$62K - $121K/yr

Bachelor's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Information ... data analysis, reporting and forecasting processes, rate and regulatory filings, or financial ...

Bachelor's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Information ... data analysis, reporting and forecasting processes, rate and regulatory filings, or financial ...

MAIN JOB OBJECTIVE The Analyst, Global Forecasting, plays a crucial role in providing accurate and ... Bachelor's degree in Business, Finance, Economics, Statistics, Supply Chain Management, or a ...

MAIN JOB OBJECTIVE The Analyst, Global Forecasting, plays a crucial role in providing accurate and ... Bachelor's degree in Business, Finance, Economics, Statistics, Supply Chain Management, or a ...

The Research Analyst will also work closely with the Institute's Research Initiatives team on Institute-led data and research projects, including the North Carolina economic Forecasting Initiative ...

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Overnight Economic Forecasting Analyst information

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$31K

$73.3K

$130K

How much do overnight economic forecasting analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for overnight economic forecasting analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Economic Forecasting Analyst vs Economic Data Analyst?

AspectOvernight Economic Forecasting AnalystEconomic Data Analyst
Primary FocusForecasting economic trends overnight using models and dataAnalyzing economic data to identify patterns and insights
Work EnvironmentFinancial institutions, market analysis firms, often during night shiftsResearch firms, government agencies, during regular business hours
Required CredentialsDegree in economics, finance, or related; strong analytical skillsDegree in economics, statistics, or related; data analysis proficiency

While both roles involve economic data, the Overnight Economic Forecasting Analyst specializes in predicting market trends overnight, often working during non-standard hours. In contrast, the Economic Data Analyst focuses on analyzing economic data during regular hours to inform decision-making. Both roles require similar educational backgrounds and analytical skills but differ mainly in their focus and work hours.

What cities are hiring for Overnight Economic Forecasting Analyst jobs?

Cities with the most Overnight Economic Forecasting Analyst job openings:

What are the most commonly searched types of Economic Forecasting Analyst jobs?

The most popular types of Economic Forecasting Analyst jobs are:

What states have the most Overnight Economic Forecasting Analyst jobs?

States with the most job openings for Overnight Economic Forecasting Analyst jobs include:

Sales Forecasting Analyst

Lehi, UT • On-site


Trove Brands
Retail • 51 - 200 employees

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Great coworkers

Good employer

Uninterrupted breaks


Full-time

Re-posted 8 days ago


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.


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