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How to hire a data typist

Data typist hiring summary. Here are some key points about hiring data typists in the United States:

  • In the United States, the median cost per hire a data typist 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 typist to become settled and show total productivity levels at work.

How to hire a data typist, step by step

To hire a data typist, 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 typist:

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

    First, determine the employments status of the data typist you need to hire. Certain data typist roles might require a full-time employee, whereas others can be done by part-time workers or contractors.

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

    Hiring the perfect data typist also involves considering the ideal background you'd like them to have. Depending on what industry or field they have experience in, they'll bring different skills to the job. It's also important to consider what levels of seniority and education the job requires and what kind of salary such a candidate would likely demand.

    This list presents data typist salaries for various positions.

    Type of Data TypistDescriptionHourly rate
    Data Typist$17-53
    Data Entry TechnicianThe duties of a data entry technician depend on one's line of work or industry of employment. Typically, their responsibilities revolve around entering information into databases, reviewing inputs to ensure accuracy and quality, devising strategies to identify any inconsistencies, and conducting corrective measures as needed... Show more$11-18
    Data Entry InternshipIn a data entry internship, an intern gains industry insights and practical experience while participating in the daily office operations. Although their responsibilities may vary upon the directives given by the supervisor or manager, it usually includes performing tasks such as entering data into spreadsheets and other documents, maintaining and updating databases, reviewing data to correct errors or inconsistencies, preparing and organizing documents, handling calls and correspondence, and running errands as necessary... Show more$11-20
  2. Create an ideal candidate profile

    Common skills:
    • WPM
    • Data Entry
    • Computer System
    • Data Sheets
    Responsibilities:
    • Manage and prepare pharmaceutical records for multiple FDA audits.
    • Verify accuracy of data; compile spreadsheets and PDF documents by combining data from various systems.
    • Transcribe unemployment hearings from Dictaphone; eventually transcribing appeal hearings and decisions.
    • Type testimonials from various parties via Dictaphone for insurance adjusters concerning automobile accidents.
    • Perform coordination of benefits and maintain insurance company reimbursements outcome including Medicare, Medicaid, and HMO/PPO insurance.
    • Type format proofread and edit correspondence and other documents from notes using computers or typewriters.
  3. Make a budget

    Including a salary range in your data typist job description is a great way to entice the best and brightest candidates. A data typist salary can vary based on several factors:
    • Location. For example, data typists' average salary in maine is 56% less than in hawaii.
    • Seniority. Entry-level data typists earn 67% less than senior-level data typists.
    • Certifications. A data typist 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 typist's salary.

    Average data typist salary

    $64,314yearly

    $30.92 hourly rate

    Entry-level data typist salary
    $37,000 yearly salary
    Updated December 20, 2025
  4. Writing a data typist job description

    A good data typist job description should include a few things:

    • Summary of the role
    • List of responsibilities
    • Required skills and experience

    Including a salary range and the first name of the hiring manager is also appreciated by candidates. Here's an example of a data typist job description:

    Data typist job description example

    The ideal candidate will have at least 2 years' experience using specialized software to store and organize data demonstrating their ability with TSQL coding, schema design, reporting and ETL. Prefer candidates who have mapped data from source to target as well as define testing approaches and test plans with a P&C Insurance company.

    Responsibilities Analyze data-related business and technical needs, elicit and document requirements related to data integration from source systems to target data warehouse, data marts, data analytic tools, and information delivery solutions.

    Develop SQL to report out information from data warehouse and other data repositories as required by business operations and analytics team.

    Develop hands-on experience with our systems to understand policy, claims and billing life cycles and information collected to operate our business.

    Develop a thorough understanding of our insurance business and business processes and how these are represented in our data within the systems and the data warehouse.

    Support release planning (blueprinting) efforts by identifying data pertinent scope and requirements driven by Policy, Claims, Billing workstreams on major and monthly releases.

    Gather data needs from business consumers: BI/Analytics, Finance, Operations, etc.; and assesses the business "reasonableness of the requests, as well as getting to the best requirement for the business.
    Perform other duties as assigned.

    Must Have Bachelors' degree and at least two years of relevant experience.
    Equivalent is defined as six years of relevant experience.
    Relevant experience as a business analyst for technical projects.
    Experience and proficiency in creating SQL queries out of complex data models.
    Understanding of business intelligence/data warehousing technologies.
    Preferably strong knowledge of insurance industry data models/modeling relevant to the property & casualty industry and ability to apply models to a newly developed data warehouse and related tools and processes.
    Excellent oral and written communication and presentation skills, capable of presenting complex issues in a clear, concise and persuasive manner to the business and technical professionals, including C-level executives.
    Strategic mindset with an ability to plan and execute strategies.
    Demonstrated initiative, self-starter, with strong analytical and problem-solving skills.
    Strong work ethic and commitment to meeting deadlines.
    To qualify, all applicants must be authorized to work in the United States and must not require, now or in the future, VISA sponsorship for employment purposes.

    Preferred to Have Advanced knowledge of T-SQL, database schema design, reports, SQL performance tuning.
    Strong knowledge of related technologies (Data Analytics, Business Intelligence, Warehousing, Information Governance, etc.).
    Ability to troubleshoot difficult and undocumented issues with creative and well thought-out solutions, after gaining manager's approval.

    About Genesis10
    Genesis10 is a leading U.S. business and technology consulting firm with hundreds of clients needing proven talent and solutions to power their strategic initiatives. If you are a high performing business or IT professional with solid, referenced experience, we want to meet you. Genesis10 recruiters and delivery professionals are highly accomplished career advocates, who get to know you beyond your resume to position you with the opportunities that fit your skills, experience, and aspirations. We have benefit options to fit your needs and a support staff that works with you from placement throughout your engagement project after project. To learn more about Genesis10 and to view all our available career opportunities, please visit us at www.genesis10.com.

    "Genesis10 is an Equal Opportunity Employer, M/F/D/V.”
  5. Post your job

    To find the right data typist for your business, consider trying out a few different recruiting strategies:

    • Consider internal talent. One of the most important sources of talent for any company is its existing workforce.
    • Ask for referrals. Reach out to friends, family members, and current employees and ask if they know or have worked with data typists they would recommend.
    • Recruit at local colleges. Attend job fairs at local colleges to recruit data typists who meet your education requirements.
    • Social media platforms. LinkedIn, Facebook and Twitter now have more than 3.5 billion users, and you can use social media to reach potential job candidates.
    Post your job online:
    • Post your data typist job on Zippia to find and recruit data typist candidates who meet your exact specifications.
    • Use field-specific websites.
    • Post a job on free websites.
  6. Interview candidates

    To successfully recruit data typists, your first interview needs to engage with candidates to learn about their interest in the role and experience in the field. You can go into more detail about the company, the role, and the responsibilities during follow-up interviews.

    It's also good to ask about candidates' unique skills and talents to see if they match your ideal candidate profile. If you think a candidate is good enough for the next step, you can move on to 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 typist

    Once you have selected a candidate for the data typist 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 typist 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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How much does it cost to hire a data typist?

Before you start to hire data typists, it pays to consider both the one-off costs like recruitment, job promotion, and onboarding, as well as the ongoing costs of an employee's salary and benefits. While most companies that hire data typists pay close attention to the initial cost of hiring, ongoing costs are much more significant in the long run.

You can expect to pay around $64,314 per year for a data typist, as this is the median yearly salary nationally. This can vary depending on what state or city you're hiring in. If you're hiring for contract work or on a per-project basis, hourly rates for data typists in the US typically range between $17 and $53 an hour.

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