How to hire a data processing analyst

How to hire a data processing analyst, step by step

Here's a step-by-step data processing analyst 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 analyst job description
• Step 5: Post your job
• Step 6: Interview candidates
• Step 7: Send a job offer and onboard your new data processing analyst
• Step 8: Go through the hiring process checklist

What does a data processing analyst do?

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1. Identify your hiring needs

   The data processing analyst hiring process starts by determining what type of worker you actually need. Certain roles might require a full-time employee, whereas part-time workers or contractors can do others.

   Determine employee vs contractor status

   Is the person you're thinking of hiring a US citizen or green card holder?

   Yes

   No

   A data processing analyst's background is also an important factor in determining whether they'll be a good fit for the position. For example, data processing analysts 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.

   Here's a comparison of data processing analyst salaries for various roles:

   Type of Data Processing Analyst	Description	Hourly rate
   Data Processing Analyst	Computer systems analysts study an organization’s current computer systems and procedures and design information systems solutions to help the organization operate more efficiently and effectively. They bring business and information technology (IT) together by understanding the needs and limitations of both.	$25-51
   Analyst Lead	The duties of an analyst lead depend on one's line of work or industry of employment. Typically, their responsibilities revolve around performing research and analysis, coordinating with different departments to gather leads and data, reviewing findings, and producing reports and presentations for the stakeholders and other higher-ranking officials... Show more	$35-58
   Analyst	Analysts are employees or individual contributors with a vast experience in a particular field that help the organization address challenges. They help the organization improve processes, policies, and other operations protocol by studying the current processes in place and determining the effectiveness of those processes... Show more	$25-47

   Show more

2. Create an ideal candidate profile

   Common skills:

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

   Check all skills

   Responsibilities:

   • Manage and contribute to EDI processes ensuring HIPAA compliance and access to clearing house review on individual case status.
   • Develop and teach seminars on the use of statistical software including SPSS and SAS.
   • Implement and maintain Microsoft SharePoint.
   • Supervise SharePoint migration while insuring adherence to data governance, disaster recovery and backup policy compliance.
   • Contribute with management and business teams to develop and implement documentation and operational guidelines design to support MDM and business strategies.
   • Maintain and update Winshuttle transaction scripts.

   More data processing analyst duties

3. Make a budget

   Including a salary range in your data processing analyst job description is a great way to entice the best and brightest candidates. A data processing analyst salary can vary based on several factors:

   • Location. For example, data processing analysts' average salary in nebraska is 39% less than in washington.
   • Seniority. Entry-level data processing analysts earn 50% less than senior-level data processing analysts.
   • Certifications. A data processing analyst 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 analyst's salary.

   Average data processing analyst salary

   $76,487yearly

   $36.77 hourly rate

   ---

   Entry-level data processing analyst salary

   $54,000 yearly salary

   Updated December 14, 2025

   Average data processing analyst salary by state

   Rank	State	Avg. salary	Hourly rate
   1	California	$100,171	$48
   2	Washington	$96,993	$47
   3	West Virginia	$85,966	$41
   4	District of Columbia	$85,749	$41
   5	New Jersey	$82,401	$40
   6	Georgia	$82,260	$40
   7	New York	$81,893	$39
   8	Louisiana	$80,599	$39
   9	Delaware	$79,197	$38
   10	Maryland	$78,399	$38
   11	Massachusetts	$78,270	$38
   12	Nevada	$78,165	$38
   13	Connecticut	$78,101	$38
   14	Oklahoma	$77,801	$37
   15	New Hampshire	$77,658	$37
   16	Iowa	$76,425	$37
   17	Texas	$76,084	$37
   18	Arizona	$75,504	$36
   19	Pennsylvania	$75,293	$36
   20	Ohio	$74,926	$36

   Average data processing analyst salary by company

   Company

   Rank	Company	Average salary	Hourly rate	Job openings
   1	PayPal	$126,081	$60.62	4
   2	Tesla	$100,191	$48.17
   3	ServiceNow	$97,912	$47.07	8
   4	PSEG	$91,000	$43.75	2
   5	Change Healthcare	$83,667	$40.22
   6	VIVA USA	$83,500	$40.14
   7	Collabera	$82,350	$39.59	188
   8	Bank of America	$80,199	$38.56	40
   9	AVANGRID	$79,475	$38.21
   10	Elevance Health	$79,291	$38.12
   11	iCardiac Technologies	$76,345	$36.70
   12	DirectMail.com	$73,600	$35.38
   13	Peraton	$73,523	$35.35	48
   14	Lubrizol	$73,426	$35.30	3
   15	Papa John's International	$73,231	$35.21
   16	The Johns Hopkins University Applied Physics Laboratory	$73,084	$35.14	8
   17	Experian	$71,647	$34.45	12
   18	Cliffs	$71,056	$34.16	4
   19	NFI	$70,399	$33.85
   20	Japs-Olson	$69,764	$33.54

4. Writing a data processing analyst job description

   A data processing analyst 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. To help get you started, here's an example of a data processing analyst job description:

   Data processing analyst job description example

   The Lubrizol Corporation, a Berkshire Hathaway company, is a market-driven global company serving customers in more than 100 countries. We own and operate manufacturing facilities in 17 countries, as well as sales and technical offices around the world. Through our global sales and manufacturing networks, we are able to deliver the products and services our customers need, where and when they need them.
   Direct Report(s): None Create a reporting scheme and structure for finance, operations, and supply chain from QAD Provide analysis for product costing, financials, operations, et al as necessary Maintain and support master data across departments
   Duties and Responsibilities:
   Provide QAD transaction analysis and monitoring Build and maintain financial reports Build and maintain Operational dashboards and reports Build and maintain supply chain dashboards and reports/establish OTIF metric Analyze high variance products with room for improvement Support the implementation and utilization of barcodes and scanners Support improvement and utilization of MRP Build and expand necessary architecture of QAD system as needed to map the system or our processes to one another. Maintain and support master data as necessary in QAD Integrate and utilize MSW/PSW within our production process Other responsibilities within improvement of QAD as necessary
   Hiring Guidelines:
   Experience with QAD transactions Ability to train others to ERP system Excellent organization skills Excellent ERP troubleshooting skills Excellent communication skills Basic financial reporting skills
   Competency Guidelines:
   Excellent prioritization skills Excellent communication skills Excellent organizational skills Excellent Power BI skills preferred Efficient programming skills
   General Expectations:
   Role works split between the office, work from home, and the warehouse with times requiring the need to go on the production floor.
   Qualifications:
   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum 3-5 years of experience working in a financial reporting role Minimum 3-5 years of experience working in an ERP system (preferably QAD) MS PowerBI and other excel add-in platform expertise preferred Excellent MS Office Suite skills or certifications Proficient programming skills Computer Science Engineering Bachelor's or equivalent relevant experience
   Tools/Equipment/Computer Software:
   The employee will frequently use QAD/F activity (or similar ERP or labor/material reporting software), PC with Microsoft Office Products, Pixrus set up (or similar software) and calipers, micrometers, rulers, veneer, and snap gages with frequent use of screw speed digital and laser adjustments. The above statements reflect the general details necessary to describe the principle functions of the occupation described and shall not be construed as a detailed description of all the work requirements that may be inherent in the occupation.
   
   #LI-JL1
   
   While headquartered in the United States, Lubrizol is truly a global specialty chemical company. We have a major presence in five global regions and do business in more than 100 countries. Our corporate culture ensures that Lubrizol is one company throughout the world, but you will find each region is a unique place to work, live and play.
   
   Lubrizol is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, race, color, national origin, citizenship, age, religion, marital status, military service, sexual orientation, genetic information, gender identity, or any other characteristic or trait protected by federal, state, or local law.

   Copy this example

   

5. Post your job

   There are a few common ways to find data processing analysts for your business:

   • Promoting internally or recruiting from your existing workforce.
   • Ask for referrals from friends, family members, and current employees.
   • Attend job fairs at local colleges to meet candidates with the right educational background.
   • Use social media platforms like LinkedIn, Facebook, and Twitter to recruit passive job-seekers.

   Post your job online:

   • Post your data processing analyst job on Zippia to find and attract quality data processing analyst candidates.
   • Use niche websites such as dice, engineering.com, stack overflow, it job pro.
   • Post a job on free websites.

6. Interview candidates

   During your first interview to recruit data processing analysts, engage with candidates to learn about their interest in the role and experience in the field. During the following interview, you'll be able to go into more detail about the company, the position, and the responsibilities.

   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.

   Sometimes, it's not enough to interview data processing analyst candidates, so you can ask them to do a test project. If you are not a technical person and don't know what a test project should be, you can use these websites:

   • TestDome
   • CodeSignal
   • Testlify
   • BarRaiser
   • Coderbyte

   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 analyst

   Once you have selected a candidate for the data processing analyst position, it is time to create an offer letter. In addition to salary, the offer letter should include details about benefits and perks that are available to the employee. Ensuring your offer is competitive is vital, as qualified candidates may be considering other job opportunities. The candidate may wish to negotiate the terms of the offer, and it is important to be open to discussion and reach a mutually beneficial agreement. After the offer has been accepted, it is a good idea to formalize the agreement with a contract.

   It's also important to follow up with applicants who do not get the job with an email letting them know that the position is filled.

   To prepare for the new data processing analyst first day, you should share an onboarding schedule with them that covers their first period on the job. You should also quickly complete any necessary paperwork, such as employee action forms and onboarding documents like I-9, benefits enrollment, and federal and state tax forms. Finally, Human Resources must ensure a new employee file is created for internal record keeping.

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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