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Data processing manager skills for your resume and career

Updated January 8, 2025
5 min read
Quoted experts
Ehsan Sheybani Ph.D.,
Ehsan Sheybani Ph.D.
Below we've compiled a list of the most critical data processing manager skills. We ranked the top skills for data processing managers based on the percentage of resumes they appeared on. For example, 10.9% of data processing manager resumes contained payroll as a skill. Continue reading to find out what skills a data processing manager needs to be successful in the workplace.

15 data processing manager skills for your resume and career

1. Payroll

Payroll is the sum of all the compensation that an organization has to pay to employees at a specified time. Payroll is managed by the finance or HR department while small business owners may handle it themselves. Payroll isn't fixed as it varies every month due to sick leaves, overtime, etc.

Here's how data processing managers use payroll:
  • Manage Payroll and Data processing for multiple business entities for a manufacturer, machining and transportation operations.
  • Maintained a high level of operational reliability and availability for COBOL based payroll systems.

2. Computer System

Here's how data processing managers use computer system:
  • Analyzed current software and computer system to recommend/implement changes and enhancements to improve quality and productivity.
  • Maintained responsibility for operations and maintenance of HP3000 computer system.

3. SQL

Here's how data processing managers use sql:
  • Mentored other program managers on using SQL and VBA for Excel to manipulate large amounts of data.
  • Execute selection of campaign lists as requested by internal and external clients using SQL Developer.

4. Financial Statements

A financial statement is a report of an individual or a company that includes all the information about the declared assets, the use of money, income, and also the contribution of shareholders over a certain period.

Here's how data processing managers use financial statements:
  • Prepared Financial Statements for Controller and Stockholders.
  • General ledger through financial statements.

5. Mainframe

A mainframe is a high-performance digital computer used by large organizations for mission-critical applications, high transaction volumes, and reliable performance, designed for intensive high-speed computing for large-scale computing purposes that require greater availability and security which a smaller machine cannot offer.

Here's how data processing managers use mainframe:
  • Planned and implemented operating system upgrade for mainframe to allow integration with network processes and infrastructure.
  • Developed facility maintenance program for all mainframes, personal computers and related peripherals.

6. General Ledger

Here's how data processing managers use general ledger:
  • Audited and reconciled computer generated reports to the general ledger; also reconciled customer accounts and inventory flow reports.
  • Implemented applications for order processing, accounts receivable/ payable, inventory management, and general ledger.

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7. Computer Operations

Here's how data processing managers use computer operations:
  • Support and modification of all application package software, development of additional application software, and management of computer operations.
  • Direct IS computer operations, telecommunications, network security, technical support, and systems analysis.

8. EDI

Here's how data processing managers use edi:
  • Developed an EDI capability for daily manufacturing and shipping schedules and documents.
  • Spearhead testing, development and implementation of technology-based projects, online services, & EDI user interfaces for EDI ordering/invoicing.

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 managers use data integrity:
  • Provide hardware and software support to enhance productivity and maintain data integrity.
  • Resolved data integrity issues and coordinated with other areas of Information Systems.

10. Inventory Control

Here's how data processing managers use inventory control:
  • Developed and integrated the inventory control system and mini computer business application (MCBA)
  • Implemented several systems including Order Entry, Bill of Material, Inventory Control, and MRP

11. Unix

UNIX is a computer operating system that was first created in the 1960s and has been constantly updated since then. The operating system refers to the set of programs that enable a machine to function. It is a multi-user, multi-tasking device that works on computers, laptops, and servers. UNIX systems also have a graphical user interface (GUI), similar to Microsoft Windows, that makes it simple to use.

Here's how data processing managers use unix:
  • Designed, programmed, and supported programs written in COBOL, C and RPG/II for UNIX and DOS environments.
  • Designed, implemented and managed the ground handling information system (our own design) based on UNIX.

12. COBOL

Here's how data processing managers use cobol:
  • Assisted Programming Consultants with Mensa membership/candidate systems utilizing COBOL 3000 language.
  • Managed COBOL programming support of Manufacturing Control System.

13. LAN

A Local Area Network (LAN) is a collection of devices that are connected in the same building, office, or network to facilitate the transmission of information among devices. The area of LAN depends upon the number of devices connected which vary according to the size of a building or an office. It includes cables, computers, switches, routers, access points, and other networking components.

Here's how data processing managers use lan:
  • Implemented company-wide deployment and training of Windows-based PCs and LAN improving end-user ability to analyze data and manage documents.
  • Managed the development and expansion of two remote LAN's and subsequent WAN (250+ clients) via Frame Relay.

14. Application Development

Here's how data processing managers use application development:
  • Administered all application development/application acquisition decisions.
  • Directed the application development and technical aspects of Information Systems with extensive involvement in the total information technology development environment.

15. Software Development

Software development is the mechanism by which programmers create computer programs. The Software Development Life Cycle (SDLC) is a framework for developing applications that follow technological needs and consumer requirements. It consists of many stages. The SDLC establishes an international standard that software developers can use to enhance and create their programs. It provides a well-defined framework for software developers to pursue in the production, maintenance, and design of premium quality software. The aim of the software development process is to create high-quality software on time and within budget.

Here's how data processing managers use software development:
  • Performed software development and modifications, budget preparation, and user training.
  • Plan for new software development, including development tools and environments, projecting loads and data volume and resource allocation changes.
top-skills

What skills help Data Processing Managers 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 manager resumes?

Ehsan Sheybani Ph.D.

Professor, University of South Florida

Analytical and problem-solving skills, Strong technical skills, The ability to work well under pressure, attention to detail, teamwork skills, organization and time management, interpersonal and communication skills, management and leadership skills.

What soft skills should all data processing managers possess?

Ehsan Sheybani Ph.D.

Professor, University of South Florida

Leadership, motivation, communication, conflict management, trust-building, decision-making, organization, and time management.

What hard/technical skills are most important for data processing managers?

Ehsan Sheybani Ph.D.

Professor, University of South Florida

Negotiation, relevant technical skills, prioritization and goal setting, project planning, delegating, and budget management.

What type of skills will young data processing managers need?

Peter Dordal Ph.D.Peter Dordal Ph.D. LinkedIn profile

Director for Information Technology, Loyola University Chicago

I'm leaving off software developers, and answering about our Information Technology graduates.

IT students entering the business world will need to know how to get the maximum leverage out of business systems. In many cases, this will mean writing their own specialized queries to extract the precise business intelligence needed; general-purpose "canned" queries just won't cut it. They will need a broad understanding of what software can accomplish for the enterprise and how to deploy new software effectively; this applies to software used in the office as well as to software used in manufacturing and shipping. And they will need to understand how to lease storage and computing resources from the cloud to meet not only predictable, long-term demands but also sudden short-term business projects.

Students working in database administration and management will need to be able to manage much larger volumes of data than a few years ago. They will need to be familiar with the great variety of new databases in order to pick the best tool for the job.
Students working in network management will need to be able to ensure that everyone has the bandwidth and server access they need, as those demands expand to include extensive video, low-latency real-time connectivity, and the regular transfer of huge amounts of data.

Students in cybersecurity will need to be fully acquainted with all the recommended best practices. However, they will also have to be able to anticipate and guard against potential new vulnerabilities. "By the book" protection is no longer sufficient.

List of data processing manager skills to add to your resume

Data processing manager skills

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

  • Payroll
  • Computer System
  • SQL
  • Financial Statements
  • Mainframe
  • General Ledger
  • Computer Operations
  • EDI
  • Data Integrity
  • Inventory Control
  • Unix
  • COBOL
  • LAN
  • Application Development
  • Software Development
  • IBM As/400
  • Management System
  • Novell
  • Troubleshoot
  • User Support
  • A/R
  • PCS
  • Computer Equipment
  • ACH
  • MRP
  • MIS
  • Windows NT
  • Mapics
  • Software Packages
  • Order Processing
  • Executive Management
  • CL
  • Data Processing Operations
  • ERP
  • Direct Reports
  • PBX
  • Software Upgrades
  • System Design
  • System Upgrades
  • Wang
  • NCR
  • ATM
  • Foxpro
  • USPS
  • Fixed Assets

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.

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