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Data processing analyst skills for your resume and career

Updated January 8, 2025

6 min read

Quoted experts

Dr. Todd Wittman Ph.D.,

Pavel Chernyavskiy Ph.D.

Below we've compiled a list of the most critical data processing analyst skills. We ranked the top skills for data processing analysts based on the percentage of resumes they appeared on. For example, 16.2% of data processing analyst resumes contained data analysis as a skill. Continue reading to find out what skills a data processing analyst needs to be successful in the workplace.

15 data processing analyst skills for your resume and career

1. Data Analysis

Here's how data processing analysts use data analysis:

Conducted data analysis, implementing business logic to text analytic models.
Created more efficient spreadsheet templates for billing and data analysis

2. Process Improvement

Here's how data processing analysts use process improvement:

Implement process controls to sustain process improvements, increase compliance assurance and improve internal/external customer satisfaction.
Updated and created special process requirements on shared data applications and spear-headed process improvement initiatives.

3. Visualization

Here's how data processing analysts use visualization:

Perform descriptive analysis, data visualization and statistical significance analysis for global student surveys * Write and present reports on analyses results
Initiated and designed dashboards locally before publishing to Tableau Server for data visualization, statistical trend analysis and KPI evaluation.

4. Tableau

Here's how data processing analysts use tableau:

Created dashboards of commercial cost of removals with few different metrics (Tableau).

5. Analyze Data

Analyze data or data analysis refers to the practice of studying, organizing, and transforming data to make it more useful. It also includes the cleansing of non-useful information which helps in better decision making regarding any particular matter. Analyze data is a practice that is used widely in the field of business, social sciences, and science.

Here's how data processing analysts use analyze data:

Collect and analyze data to identify financial representatives based on incomplete/inaccurate information
Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

6. 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 data processing analysts use data collection:

Automated data collection process by writing VBA macros and web application increasing efficiency and quality.
Rectified failed data collection and system level problems.

7. Data Quality

Here's how data processing analysts use data quality:

Designed business processes used to validate data quality and increase operational efficiency.
Provided feedback to site personnel and management concerning data quality, processing status, and error conditions.

8. Business Processes

Here's how data processing analysts use business processes:

Carry out general operation functions for business processes including but not limited to: song registration, identification and data procurement.
Improved and consulted business processes to ensure proper data integrity.

9. Data Integrity

Data integrity denotes the consistency or accuracy validation of data in the whole lifecycle of data. It ensures the security of traceability and search-ability of all data in a person's device to the source.

Here's how data processing analysts use data integrity:

Created automated data integrity checks which eliminated 80% of interdepartmental workload.
Tested all reports and analyzed data integrity before pushing these to Production environment and distributing to vendor and donor partners.

10. Access Database

Here's how data processing analysts use access database:

Developed and coded Access database programs for job and data tracking applications.
Created 30+ MS Access databases for use in daily workload tracking for various workgroups throughout the organization.

11. SharePoint

Here's how data processing analysts use sharepoint:

Supervised SharePoint migration while insuring adherence to data governance, disaster recovery and backup policy compliance.
Implemented and maintain Microsoft SharePoint.

12. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how data processing analysts use java:

Developed and maintained applications in RPG, COBOL, Lotus Domino Developer R5, Java, and JSP
Developed Java application to calculate cost per flight hour of a few operators for testing purposes.

13. ERP

Enterprise Resource Planning (ERP) is computer software used by major corporations and organizations for conducting their management and accounting tasks efficiently. ERP systems bind different business processes with each other allowing smoother flow of data between them resulting in swift project assessment and completion.

Here's how data processing analysts use erp:

Managed customer relationship by providing internal support; communicated ERP standards and infrastructure by answering questions; resolving concerns and issues.
Developed and executed the project strategy for ERP implementation and support for small scale industries focused on educational establishments.

14. 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 data processing analysts use pos:

Contract Position) Responsible for cleaning up data in POS Systems.

15. Statistical Analysis

Here's how data processing analysts use statistical analysis:

Perform complex data and statistical analysis in support of standing customer requests as well as requests made extempore.
Provide statistical analysis of failures vise customers with Weibull distribution analysis.

What skills help Data Processing Analysts find jobs?

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

What skills stand out on data processing analyst resumes?

Dr. Todd Wittman Ph.D.

Associate Professor, The Citadel

I would strongly recommend any mathematics major to get a good background in statistics and computer programming, even if that is not going to be their primary field of study. You can still concentrate on the topics that interest you, but it is important to diversify your skill set.

Getting involved in a research project tells a prospective employer that you have done work beyond the classroom. It shows that you can tackle a difficult problem that does not have an answer in the back of the textbook. At most colleges and universities, faculty are eager to work with bright undergraduate students on projects. Students are often intimidated by their faculty, but it does not hurt to ask. It might result in an interesting research experience, internship, or even a lead on a job after graduation.

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

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

Statisticians with subject-matter expertise tend to be more in-demand, all else being equal. For example, quantitative biologists, statistical geneticists, bioinformaticians, industrial statisticians can all be thought of as "statisticians with subject-matter expertise," at least in my opinion. With that in mind, if an applicant can develop their knowledge of a particular area of application during their gap year, it should help them in the job market.

What type of skills will young data processing analysts need?

Zhixin Wu Ph.D.

Associate Professor, DePauw University

Problem solving skills, analytical skills, self-learning ability, and good communication skills.

What technical skills for a data processing analyst stand out to employers?

Dr. Ferebee Tunno Ph.D.

Associate Professor, Arkansas State University

For people looking for a job in statistics (my field), it is essential to have knowledge of powerful software packages like R or SAS.

What soft skills should all data processing analysts possess?

Abraham Wyner

Professor of Statistics, University of Pennsylvania

They should be able to do basic statistical analyses on their own without running for help (summarize data, cross tabulations, basic visualizations and regression of one variable). Of course, they need to use Excel and have some programming skills so they can learn the particular tool on the job easily (if they have never programmed this is hard).

What hard/technical skills are most important for data processing 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 data processing analyst skills to add to your resume

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

Data Analysis
Process Improvement
Visualization
Tableau
Analyze Data
Data Collection
Data Quality
Business Processes
Data Integrity
Access Database
SharePoint
Java
ERP
POS
Statistical Analysis
Computer System

VBA
SAS
PL/SQL
QC
R
Client Data
SQL Server
Windows
Data Issues
PC
Payroll
Unix
Linux
Production Environment
COBOL
PeopleSoft

Ad-Hoc Reports
Medicare
III
Adobe Acrobat
HR
Incorrect Data
LiDAR
LAN
Financial Data
HTML
UAT
JCL
Test Cases
Statistical Data

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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