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Forecasting analyst skills for your resume and career

Updated January 8, 2025

5 min read

Quoted expert

Dr. Mark Evans

Below we've compiled a list of the most critical forecasting analyst skills. We ranked the top skills for forecasting analysts based on the percentage of resumes they appeared on. For example, 8.9% of forecasting analyst resumes contained supply chain as a skill. Continue reading to find out what skills a forecasting analyst needs to be successful in the workplace.

15 forecasting analyst skills for your resume and career

1. Supply Chain

A supply chain is a network or a sequence by which finished products of a company are distributed to retailers and then supplied to the end-users. The distribution of products and services from the production line to the final buyers is carried out in a series of steps including; manufacturing, transportation, and their distribution. The whole supply chain consists of different entities including; manufacturers, transportation, warehouses, suppliers, and retailers. The entities ensure that the products retain their originality while also minimizing the cost of delivery.

Here's how forecasting analysts use supply chain:

Recommended forecast updates to sourcing and supply chain managers to reflect new data for manually controlled inventory areas.
Trained newly hired analyst and regional supply chain managers on company forecasting process, procedures and reporting.

2. SQL

Here's how forecasting analysts use sql:

Program & routinely perform maintenance on the automation process which includes SQL database/tables, Visual Basic scripts and system stored procedures.
Developed Access VB tool that provided a SQL database driven schedule and connection based quality of service analysis.

3. Data Analysis

Here's how forecasting analysts use data analysis:

Constructed data analysis methods to support multiple metrics and business models.
Implemented data analysis software and trained management at production locations.

4. Strong Analytical

Here's how forecasting analysts use strong analytical:

Position required strong analytical skills and problem solving ability.
Demonstrated strong analytical and organizational skills.

5. 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 forecasting analysts use sas:

Conducted statistical analysis in SAS to investigate price elasticity of demand for food items.
Created, developed and maintained SAS programs and databases for both system load forecasting and commercial & industrial customer revenue forecasting.

6. 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 forecasting analysts use demand planning:

Created automated SQL-based programs to report actual and forecast data; developed demand planning process for projecting domestic product shipments
Developed item/door level and aggregate level demand planning for holiday/seasonal cards.

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7. POS

POS is an abbreviation of "Point of Sale" which is the time and place where a customer completes a transaction. It can either be a physical shop that consists of POS terminals or a virtual shop. A POS system helps simplify the retail functions and track important sales data.

Here's how forecasting analysts use pos:

Created promotional, POS, & inventory reports for both domestic and international accounts and submitted to company each week.
Developed customer sales forecasts using Vendor Portal, Partners Online, POS, seasonal, and historical data.

8. Visualization

Here's how forecasting analysts use visualization:

Designed and developed dynamic and interactive data visualization dashboards using various data sources via Tableau.
Led a Tableau proof-of-concept initiative which resulted in Foundation-wide data visualization adoption.

9. Financial Analysis

Here's how forecasting analysts use financial analysis:

Conduct research projects to complete financial analysis and forecast comparisons.
Perform financial analysis as assigned.

10. Regression

Here's how forecasting analysts use regression:

Created statistical models for electricity usage forecasts using piece-wise linear regression models and weather variables.
Incorporated regression analyses to predict daily cash positions.

11. VBA

Visual Basic for Applications or, as it is commonly shortened to, VBA is a certain method of using Microsoft's event-driven programming language known as Visual Basic.

Here's how forecasting analysts use vba:

Developed the VBA program Seating Chart used to plan seating capacity for all Stream sites for the past 10 years.
Constructed over a dozen VBA procedures for automating data manipulation, multiple account load forecasting, and record-keeping tasks.

12. Process Improvement

Here's how forecasting analysts use process improvement:

Lead other analysts in process improvement, driving innovation, operation support implementation and being the workforce management subject matter expert.
Collaborated with department leadership on strategic planning, new business implementations, and forecasting to prioritize process improvements.

13. Capacity Planning

Capacity planning is the process or method that balances the available hours of team members against the project or program that they need to accomplish. It comprises the resources to do the work or project and the necessities to complete a particular task. Capacity planning assesses the resources and the skill of the team to decide whether to hire or purchase additional resources, defer or delay the project, push through with it or cancel the project.

Here's how forecasting analysts use capacity planning:

Created models used for capacity planning, forecasting contact center volumes, and analyzing forecast performance.
Applied demand forecasts to monitor Material Requirements Planning, Capacity Planning, and Production Activity Control.

14. Logistics

Logistics is a complete organization and implementation of a problem. Logistics are often considered in a complex business operation, as some works need detailed plannings. Logistics are also used in military action.

Here's how forecasting analysts use logistics:

Managed country based forecasting process working closely with Marketing, Purchasing, and International logistics groups.
Develop new heuristics/statistics based reverse logistics forecasting models for tablets and Point of Sale business.

15. Demand Forecasts

Demand forecasting uses past sales as data to map out an anticipated forecast of consumer demand. Demand forecasting provides an estimation of the number of services and goods customers might purchase in the anticipated future.

Here's how forecasting analysts use demand forecasts:

Analyzed historical catalog demand patterns and trends to develop monthly demand forecasts.
Developed, communicated, and validated order and demand forecasts.

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Dr. Mark Evans

Area Chair and Dale K. Cline Associate Dean for Accountancy, Wake Forest University

Don't stop learning. Treat your first job like more graduate school. Learn everything you can.

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List of forecasting analyst skills to add to your resume

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

Supply Chain
SQL
Data Analysis
Strong Analytical
SAS
Demand Planning
POS
Visualization
Financial Analysis
Regression
VBA
Process Improvement
Capacity Planning
Logistics
Demand Forecasts

Identify Trends
Statistical Analysis
Trend Analysis
Historical Data
Variance Analysis
Market Trends
Customer Demand
Statistical Models
AHT
Cost Savings
Develop Forecasts
ERP
Inventory Management
Historical Trends
R

Sales Data
Sales Performance
MRP
Sales History
B Testing
Product Line
Revenue Forecasting
Supply Chain Planning
Customer Orders
KPI
Sales Forecasts
IEX
WFM
Logility
Future Sales

Updated January 8, 2025

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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