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Decision analyst skills for your resume and career

Updated January 8, 2025

3 min read

Quoted experts

David Feldman Ph.D.,

Lan Jiang Ph.D.

Below we've compiled a list of the most critical decision analyst skills. We ranked the top skills for decision analysts based on the percentage of resumes they appeared on. For example, 25.9% of decision analyst resumes contained data analysis as a skill. Continue reading to find out what skills a decision analyst needs to be successful in the workplace.

15 decision analyst skills for your resume and career

1. Data Analysis

Here's how decision analysts use data analysis:

Introduced regression analysis to the team as an additional tool for data analysis.
Performed comprehensive clinical data analysis for a major pharmaceutical company for diabetes and depression benchmarking studies.

2. SQL

Here's how decision analysts use sql:

Trained analysts on SQL topics such as correlated sub queries and Oracle's DECODE function.
Collaborated with customers to create or modify complex customized Crystal Reports and SQL queries for rapid distribution to individual customer locations.

3. 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 decision analysts use sas:

Develop predictive models using SAS Enterprise Miner.
Interpreted and analyzed statistical data using SAS computer programs providing valuable insight toward the development of banking clients marketing efforts.

4. PowerPoint

Here's how decision analysts use powerpoint:

Generated Executive PowerPoint reports aimed at summarizing the annual findings of periodic benchmark and trend analysis, and identifying discrepancies.
Created interpretations of numerical analysis to be reviewed in Microsoft PowerPoint presentations for optimal pricing and customer retention.

5. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how decision analysts use data collection:

Participated in development of written analysis, executive summary and talking points; developed recommendations for improved data collection and analysis.
Coordinate with various measurement offices concerning electronic measurement data transfer, area balancing, and data collection activities system wide.

6. Credit Card

A type of card issued by banks and other financial institutions, that enable users to manage and borrow their finances is called a credit card. The funds borrowed from a financial institution through a credit card are meant to be paid back along with certain amounts of interest imposed by the bank.

Here's how decision analysts use credit card:

Managed software development projects and functional specifications for credit card related systems.
Processed bank and credit card reconciliation along with all monthly entries.

7. BI

Here's how decision analysts use bi:

Manage one staff (MIS Officer), who handles the basic functions of the BI Unit.
Identified growth opportunities, areas of enhancement & investment, and defined training needs in ECM and BI.

8. Analytical Support

Analytical support consists of categories that include logical reasoning, critical thinking, communication, research, data analysis, and creativity to break down information or something into parts or smaller categories to enhance understanding in order to draw conclusions.

Here's how decision analysts use analytical support:

Developed business with new customer, providing acquisition, modeling and simulation, and analytical support for four separate projects.
Maintained accountability for technical activities and analysis; provided analytical support to project leadership and strategic input for program execution.

9. Data Quality

Here's how decision analysts use data quality:

Rule statements pertaining to data quality and credit score.

10. Credit Risk

Credit risk entails the risk experienced by a lender from the possibility of losing money due to a borrower failing to repay or meet their obligations set out in a loan contract. Credit risk manifests in many forms including loans (the most popular), letters of credit, foreign exchange and lines of credit.

Here's how decision analysts use credit risk:

Performed ad hoc analysis of credit risk, product valuation and asset analysis.
Served as Credit Risk Lead for Small Business Instant Prescreening Project.

11. Business Rules

Here's how decision analysts use business rules:

Formulate complex business policy and processes into Decision Models (business rules) and Business Process Models (BPM).
Prepare reports to assist various business areas understand the business rules of various systems in order to conduct analysis.

12. Regression

Here's how decision analysts use regression:

Created predicative models to forecast market demand using Generalized Linear Regression models.
Selected appropriate binding models using a combination of physical arguments and regression.

13. Analytical Tools

Here's how decision analysts use analytical tools:

Developed analytical tools using AC Nielson scan and shipping tracking (EDI) data.

14. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how decision analysts use r:

Enabled development of pricing models for clients (Home Depot, Lee), using Bayesian hierarchical models with R software.
Worked on data extraction, validation, and Data Visualization of large data sets using, R Studio & Tableau.

15. SME

The term â€˜small and medium-sized enterprises' is meant to describe businesses of varied sizes who fall below certain limits and targets set by various organizations, such as the World Bank and the UN. SMEs, as they are commonly known, are an important part of any economy and generally, in healthy economies, should vastly outnumber other forms of business, such as multi-level corporations, because they collectively employ more people, pay better, and produce more money.

Here's how decision analysts use sme:

Provided support to developers and business as an application SME supporting product development, new investments and customer relationship management.
Secured SME presenters, and developed evaluation process to determine proficiency of audience.

What skills help Decision Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What skills stand out on decision analyst resumes?

David Feldman Ph.D.

Professor of Urban Planning and Public Policy and Political Science, Director, Water UCI, Director, MPP Program, University of California, Irvine

Succinct writing, critical thinking, strong quantitative analytical skills.

What decision analyst skills would you recommend for someone trying to advance their career?

Lan Jiang Ph.D.

Associate Professor, Menlo College

1. Decision making skill, which includes the skills to acquire information, to critically assess the information, and finally to analyze it to gain insights for decisions.
2. Communication skill, both language arts and interpersonal social skills.

What type of skills will young decision analysts need?

Lise Abrams Ph.D.

Professor of Linguistics and Cognitive Science; Coordinator of Cognitive Science, Pomona College

Given the ever-increasing diversity of the workforce, graduates will need to work effectively with heterogeneous groups of people and be able to conceptualize problems from multiple perspectives. Solving today's and future problems requires critical thinking and analysis skills, and graduates will also need to do their part in promoting the accurate dissemination of knowledge. Majors like experimental psychology and cognitive science give their graduates the tools to better understand human behavior through a scientific lens.

What hard/technical skills are most important for decision analysts?

Jason Caudill Ph.D.

Professor of Business, King University

The number one technical skill for today's professionals is the ability to learn new systems. Regardless of expertise in a particular platform, there are going to be updates and changes, and different companies will likely be on different major platforms to perform the same functions. A strong foundation of technical skills in communications software, spreadsheets, and cloud applications will give someone the foundation they need to function in most modern workplaces, but the real skill is being able to translate that understanding of the architecture to multiple platforms so they can manage change.

Do you want to know more?

List of decision analyst skills to add to your resume

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

Data Analysis
SQL
SAS
PowerPoint
Data Collection
Credit Card
BI
Analytical Support

Data Quality
Credit Risk
Business Rules
Regression
Analytical Tools
R
SME
Statistical Analyses

Statistical Models
Business Analysis
ROI
Economic Models
Economic Analysis
Data Integrity

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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