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Forecaster skills for your resume and career

Updated January 8, 2025
2 min read
Below we've compiled a list of the most critical forecaster skills. We ranked the top skills for forecasters based on the percentage of resumes they appeared on. For example, 17.5% of forecaster resumes contained sql as a skill. Continue reading to find out what skills a forecaster needs to be successful in the workplace.

15 forecaster skills for your resume and career

1. SQL

Here's how forecasters use sql:
  • Crawled stock data of recent one year from Yahoo Finance and stored the dataset in SQL database.
  • Conducted extensive data analysis using SQL for positioning and acquisition/retention strategies.

2. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how forecasters use sas:
  • Developed models using SAS to forecast future delinquencies and losses on auto loans and lines of credit.
  • Conducted statistical analysis in SAS to investigate price elasticity of demand for food items.

3. PowerPoint

Here's how forecasters use powerpoint:
  • Conducted training for personnel on safety procedures and forecasting procedures using Excel and PowerPoint.
  • Created PowerPoint presentations and sales collateral for sales force and management !

4. Visualization

Here's how forecasters use visualization:
  • Trained five incoming members on processes, procedures and use of the visualization software.
  • Produced concise data visualization using Tableau and Google spreadsheets which were viewed by the rest of the business.

5. Data Analysis

Here's how forecasters use data analysis:
  • Performed key data analysis and reporting role helping sales organization consistently surpass goals.
  • Constructed data analysis methods to support multiple metrics and business models.

6. Regression

Here's how forecasters use regression:
  • Developed economic regression models based on capital M&E as well as cooperative work with Armonk on corporate economic model.
  • Created statistical models for electricity usage forecasts using piece-wise linear regression models and weather variables.

7. Demand Planning

Demand planning is the process of forecasting demand for a product or service and implementing an operational strategy throughout the supply chain to meet it. The goal is to find a balance between having enough inventory to meet customer needs without overstocking. Demand planners work in different departments of an organization to make sales forecasts, adjusting inventory levels to seasonal demand, materials planning, and procurement forecasts.

Here's how forecasters use demand planning:
  • Created item level sales forecast and collaborated with demand planning and inventory planning teams to increase SKU efficiency and inventory turns.
  • Maintain demand planning system and Forecast Tool.
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8. Business Decisions

Here's how forecasters use business decisions:
  • Delivered monthly forecasts to improve the quality of business decisions, improve productivity, and strong stewardship.
  • Performed financial and market data analysis enabling marketing management to make sound business decisions.

9. Macro

Here's how forecasters use macro:
  • Predicted the next micro and macro trends in fashion and lifestyle before they emerged.

10. Customer Demand

Here's how forecasters use customer demand:
  • Engaged with Customer Demand Planners in order to find and correct root causes of forecast variances.
  • Processed purchase orders and releases of finish goods against planned customer forecast with timely deliveries through distribution channels as customer demands.

11. Market Trends

Here's how forecasters use market trends:
  • Analyzed consumer research, demographic patterns, market trends, and field input to produce accurate forecasts.
  • Guided forecasting efforts and performed analysis of sales, market trends and risk, and inventory.

12. Statistical Models

Here's how forecasters use statistical models:
  • Review and execute statistical model and plan.
  • Developed sku and aggregate level forecasts in Manugistics by creating statistical models based on historical demand patterns.

13. Sales Data

Sales data is usually statistics/ information about the performance of your sales team and key trends around your pipeline/ current customers. This data helps with forecasting and also understanding areas for improvement.

Here's how forecasters use sales data:
  • Analyzed sales data and monitored sales trends to assist the Vehicle Marketing Team with its decision-making.
  • Analyzed sales data from pilot tests of new products and promotions.

14. Identify Trends

Identify Trends refers to the act of analyzing recent history and determining how the history connects. This is commonly seen in social media, where trends may be different challenges completed to raise awareness for an organization or disease, or it may be a purchasing trend to determine what product will most likely sell next.

Here's how forecasters use identify trends:
  • Analyze and report on store segmentation to identify trends and adjust store level forecast.
  • Analyzed demand histories and identify trends to development of an accurate forecast.

15. Historical Data

In a large context, historical data is the total collected data about all/some past events and circumstances about a particular field. Historical data comprises data that is generated either automatically or manually within a given enterprise. This data is used to study and understand correlations, trends, patterns, and other statistical relationships that drive insight into the performance of a business. Historical data has two sub-categories called descriptive and diagnostic data. Descriptive data aims at explaining WHAT is happening while diagnostic data focuses on explaining the WHY behind it.

Here's how forecasters use historical data:
  • Utilize statistical methods to predict customer call center behavior; analyze historical data to predict call volume at specific times.
  • Analyzed historical data and utilized market intelligence in order to measure accuracy of the sales forecasts and made appropriate adjustments.
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List of forecaster skills to add to your resume

Forecaster Skills

The most important skills for a forecaster resume and required skills for a forecaster to have include:

  • SQL
  • SAS
  • PowerPoint
  • Visualization
  • Data Analysis
  • Regression
  • Demand Planning
  • Business Decisions
  • Macro
  • Customer Demand
  • Market Trends
  • Statistical Models
  • Sales Data
  • Identify Trends
  • Historical Data
  • Access Database
  • Collaborative Planning
  • Weather Forecasts
  • Severe Weather Events

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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