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How to hire a data processing supervisor

Data processing supervisor hiring summary. Here are some key points about hiring data processing supervisors in the United States:

  • In the United States, the median cost per hire a data processing supervisor is $1,633.
  • It takes between 36 and 42 days to fill the average role in the US.
  • Human Resources use 15% of their expenses on recruitment on average.
  • On average, it takes around 12 weeks for a new data processing supervisor to become settled and show total productivity levels at work.

How to hire a data processing supervisor, step by step

To hire a data processing supervisor, consider the skills and experience you are looking for in a candidate, allocate a budget for the position, and post and promote the job opening to reach potential candidates. Follow these steps to hire a data processing supervisor:

Here's a step-by-step data processing supervisor hiring guide:

  • Step 1: Identify your hiring needs
  • Step 2: Create an ideal candidate profile
  • Step 3: Make a budget
  • Step 4: Write a data processing supervisor job description
  • Step 5: Post your job
  • Step 6: Interview candidates
  • Step 7: Send a job offer and onboard your new data processing supervisor
  • Step 8: Go through the hiring process checklist
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  1. Identify your hiring needs

    Before you start hiring a data processing supervisor, identify what type of worker you actually need. Certain positions might call for a full-time employee, while others can be done by a part-time worker or contractor.

    Determine employee vs contractor status
    Is the person you're thinking of hiring a US citizen or green card holder?

    A data processing supervisor's background is also an important factor in determining whether they'll be a good fit for the position. For example, data processing supervisors from different industries or fields will have radically different experiences and will bring different viewpoints to the role. You also need to consider the candidate's previous level of experience to make sure they'll be comfortable with the job's level of seniority.

    The following list breaks down different types of data processing supervisors and their corresponding salaries.

    Type of Data Processing SupervisorDescriptionHourly rate
    Data Processing Supervisor$31-69
    Supervisor, Patient AccessA patient access supervisor is a professional who is responsible for supervising a health facility's patient registration, inpatient and outpatient, the financial counseling division, central scheduling, and the PBX department. Patient access supervisors must ensure that high-quality service for patients is achieved as well as the accuracy of information... Show more$14-32
    Regional SupervisorThe regional supervisor determines the operational practices of all stores in the area, making sure each runs smoothly, cleanly, complies with marketing and sales campaigns, and meets budget and sales goals. They run operations in a certain area and make sure that all activities and workers are working to achieve targets... Show more$19-44
  2. Create an ideal candidate profile

    Common skills:
    • Payroll
    • Computer System
    • Data Entry Operators
    • Financial Reports
    • Computer Operations
    • Windows
    • Mainframe Hardware
    • Troubleshoot
    • LAN
    • Word Processing
    • Data Processing Operations
    • Computer Equipment
    • HR
    • Inventory Control
    Check all skills
    Responsibilities:
    • Manage the entire project including researching/procuring the hardware, installing require infrastructure, and establishing backup policy/rotation for the entire company.
    • Provide customer support and troubleshoot customer issues or concerns.
    • Update PowerPoint reports with current data.
    • Orchestrate seamless system migration from HP/Mpex to HP1000 UNIX.
    • Supervise weekly payroll processing i.e.
    • Analyze and coordinate payroll record keeping for accounting reports.
  3. Make a budget

    Including a salary range in your data processing supervisor job description is a great way to entice the best and brightest candidates. A data processing supervisor salary can vary based on several factors:
    • Location. For example, data processing supervisors' average salary in mississippi is 41% less than in alaska.
    • Seniority. Entry-level data processing supervisors earn 54% less than senior-level data processing supervisors.
    • Certifications. A data processing supervisor with a few certifications under their belt will likely demand a higher salary.
    • Company. Working for a prestigious company or an exciting start-up can make a huge difference in a data processing supervisor's salary.

    Average data processing supervisor salary

    $98,034yearly

    $47.13 hourly rate

    Entry-level data processing supervisor salary
    $66,000 yearly salary
    Updated January 14, 2026
  4. Writing a data processing supervisor job description

    A data processing supervisor job description should include a summary of the role, required skills, and a list of responsibilities. It's also good to include a salary range and the first name of the hiring manager. Below, you can find an example of a data processing supervisor job description:

    Data processing supervisor job description example

    **Job Title:** PT Origin Data Capture Supervisor

    **Days:** M - F

    **Hours:** Approx. 19:00 - 00:30

    UPS is currently seeking highly motivated, energetic self-starters to work as a **Part-Time** Origin Data Capture **Supervisor.** This management position involves directly supervising part-time Package Handlers & Clerks. Part-Time Supervisors train, develop, and hold their workgroups responsible for safety, production and attendance. The Part-Time Operations Supervisor impacts the organization by contributing to the continued growth and profitability of UPS by maintaining the highest standards for account productivity, accuracy, customer service, organization, communication, cooperation, and safety. The Part-Time Operations Supervisor provides innovative and effective leadership and cultivates a functional working relationship with all levels of personnel throughout the organization.

    Employees will work a Monday through Friday workweek. Part-time management employees are generally expected to work 5 1/2 hours per day and are paid weekly. Extra work hours may be necessary. Medical, dental, and vision benefits are offered to employees and their eligible dependents. Additional benefits include educational assistance, 401K, discounted stock, and paid vacations/holidays.

    **Please note that these opportunities are part-time only** .

    **The Part-Time** Origin Data Capture **Supervisor responsibilities may include but are not limited to the following:**

    + Management of department resources to ensure maximum output, accuracy, and efficiency at all times.

    + Meet or exceed all established standards for accuracy and productivity.

    + Ensure that all department and/or corporate policies and procedures are communicated, understood, and adhered to.

    + Establish and promote a positive, team-oriented work environment emphasizing employee involvement, pro-active communication, inter-departmental cooperation, and continual improvement on all levels.

    + Implement employee personal development plans as required to ensure the continuing professional growth of department personnel.

    + Ensure that all department employees receive specific and detailed orientation, skills and safety training, appropriate materials and information, regular evaluations, and pro-active coaching to support their continued development.

    + Establish and maintain an aggressive cross-training program within the department to promote development, enhance flexibility, and ensure backup coverage of vital functions and processes.

    + Function as an effective liaison and advocate on all levels to ensure that employee, department, and corporate needs are addressed in a timely and productive manner.

    + Responsible to ensure that all employees adhere to safety policies and procedures at all times, operating in full compliance with department, station, corporate, OSHA, and WISHA requirements. **Experience and Education:**

    + Candidate must have a degree or working towards a degree.

    + Candidate must have an excellent attendance record.

    + Management/supervisory experience in a production/processing environment is preferred.

    + Prior experience in both operations and customer service is preferred. **BASIC QUALIFICATIONS:**

    + Candidates must have a legal right to work in the US

    + Management/supervisory experience in a production/processing environment is preferred

    UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law

    **Company:** UNITED PARCEL SERVICE

    **Category:** Operations


    **Location:** San Marcos,California
  5. Post your job

    To find data processing supervisors for your business, try out a few different recruiting strategies:

    • Consider internal talent. One of the most important talent pools for any company is its current employees.
    • Ask for referrals. Reach out to friends, family members, and your current work to ask if they know any data processing supervisors they would recommend.
    • Recruit at local colleges. Attend job fairs at local colleges to recruit entry-level data processing supervisors with the right educational background.
    • Social media platforms. LinkedIn, Facebook, and Twitter have more than 3.5 billion users, and they're a great place for company branding and reaching potential job candidates.
    Post your job online:
    • Post your data processing supervisor job on Zippia to find and recruit data processing supervisor candidates who meet your exact specifications.
    • Use field-specific websites.
    • Post a job on free websites.
  6. Interview candidates

    Your first interview with data processing supervisor candidates should focus on their interest in the role and background experience. As the hiring process goes on, you can learn more about how they'd fit into the company culture in later rounds of interviews.

    You should also ask about candidates' unique skills and talents to see if they match the ideal candidate profile you developed earlier. Candidates good enough for the next step can complete the technical interview.

    The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.

  7. Send a job offer and onboard your new data processing supervisor

    Once you've selected the best data processing supervisor candidate for the job, it's time to write an offer letter. In addition to salary, this letter should include details about the benefits and perks you offer the candidate. Ensuring that your offer is competitive is essential, as qualified candidates may be considering other job opportunities. The candidate may wish to negotiate the terms of the offer, and you should be open to discussion. After you reach an agreement, the final step is formalizing the agreement with a contract.

    It's also good etiquette to follow up with applicants who don't get the job by sending them an email letting them know that the position has been filled.

    Once that's done, you can draft an onboarding schedule for the new data processing supervisor. Human Resources should complete Employee Action Forms and ensure that onboarding paperwork is completed, including I-9s, benefits enrollment, federal and state tax forms, etc. They should also ensure that new employee files are created for internal recordkeeping.

  8. Go through the hiring process checklist

    • Determine employee type (full-time, part-time, contractor, etc.)
    • Submit a job requisition form to the HR department
    • Define job responsibilities and requirements
    • Establish budget and timeline
    • Determine hiring decision makers for the role
    • Write job description
    • Post job on job boards, company website, etc.
    • Promote the job internally
    • Process applications through applicant tracking system
    • Review resumes and cover letters
    • Shortlist candidates for screening
    • Hold phone/virtual interview screening with first round of candidates
    • Conduct in-person interviews with top candidates from first round
    • Score candidates based on weighted criteria (e.g., experience, education, background, cultural fit, skill set, etc.)
    • Conduct background checks on top candidates
    • Check references of top candidates
    • Consult with HR and hiring decision makers on job offer specifics
    • Extend offer to top candidate(s)
    • Receive formal job offer acceptance and signed employment contract
    • Inform other candidates that the position has been filled
    • Set and communicate onboarding schedule to new hire(s)
    • Complete new hire paperwork (i9, benefits enrollment, tax forms, etc.)
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How much does it cost to hire a data processing supervisor?

Recruiting data processing supervisors involves both the one-time costs of hiring and the ongoing costs of adding a new employee to your team. Your spending during the hiring process will mostly be on things like promoting the job on job boards, reviewing and interviewing candidates, and onboarding the new hire. Ongoing costs will obviously involve the employee's salary, but also may include things like benefits.

The median annual salary for data processing supervisors is $98,034 in the US. However, the cost of data processing supervisor hiring can vary a lot depending on location. Additionally, hiring a data processing supervisor for contract work or on a per-project basis typically costs between $31 and $69 an hour.

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