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What is a data processing operator and how to become one

Updated January 8, 2025
2 min read
ScoreData Processing OperatorUS Average
Salary
3.5

Avg. Salary $44,400

Avg. Salary $59,228

Diversity
5.0
Race

American Indian and Alaska Native 0.57%

Asian 12.32%

Black or African American 8.59%

Hispanic or Latino 9.87%

Unknown 4.90%

White 63.75%

Gender

female 63.97%

male 36.03%

Age - 43
Race

American Indian and Alaska Native 3.00%

Asian 7.00%

Black or African American 14.00%

Hispanic or Latino 19.00%

White 57.00%

Gender

female 47.00%

male 53.00%

Age - 43
Stress level
5.0

Stress level is manageable

7.1 - high

Complexity level
6.2

Complexity level is intermediate

7 - challenging

Work life balance
6.2

Work life balance is fair

6.4 - fair

Data processing operator career paths

Key steps to become a data processing operator

  1. Explore data processing operator education requirements

    Most common data processing operator degrees

    Bachelor's

    42.7 %

    Associate

    26.6 %

    High School Diploma

    16.6 %
  2. Start to develop specific data processing operator skills

    SkillsPercentages
    Data Processing32.86%
    Computer System18.12%
    Payroll8.06%
    Customer Transactions5.55%
    Windows5.55%
  3. Complete relevant data processing operator training and internships

    Accountants spend an average of 1-3 months on post-employment, on-the-job training. New data processing operators learn the skills and techniques required for their job and employer during this time. The chart below shows how long it takes to gain competency as a data processing operator based on U.S. Bureau of Labor Statistics data and data from real data processing operator resumes.
  4. Research data processing operator duties and responsibilities

    • Manage daily operations of ACH payments and research errors in different internal and external databases that prevent payments from transferring.
    • Process payroll and loan checks.
    • Upload navigation and field GPS data.
    • Perform quality control on GPS and SAR data.
  5. Prepare your data processing operator resume

    When your background is strong enough, you can start writing your data processing operator resume.

    You can use Zippia's AI resume builder to make the resume writing process easier while also making sure that you include key information that hiring managers expect to see on a data processing operator resume. You'll find resume tips and examples of skills, responsibilities, and summaries, all provided by Zippi, your career sidekick.

    Choose from 10+ customizable data processing operator resume templates

    Build a professional data processing operator resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 10+ resume templates to create your data processing operator resume.
    Data Processing Operator Resume
    Data Processing Operator Resume
    Data Processing Operator Resume
    Data Processing Operator Resume
    Data Processing Operator Resume
    Data Processing Operator Resume
    Data Processing Operator Resume
    Data Processing Operator Resume
    Data Processing Operator Resume
  6. Apply for data processing operator jobs

    Now it's time to start searching for a data processing operator job. Consider the tips below for a successful job search:

    1. Browse job boards for relevant postings
    2. Consult your professional network
    3. Reach out to companies you're interested in working for directly
    4. Watch out for job scams

How did you land your first data processing operator job

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Average data processing operator salary

The average data processing operator salary in the United States is $44,400 per year or $21 per hour. Data processing operator salaries range between $22,000 and $87,000 per year.

Average data processing operator salary
$44,400 Yearly
$21.35 hourly

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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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