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How to hire a master data analyst

Master data analyst hiring summary. Here are some key points about hiring master data analysts in the United States:

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

How to hire a master data analyst, step by step

To hire a master data analyst, you should clearly understand the skills and experience you are looking for in a candidate, and allocate a budget for the position. You will also need to post and promote the job opening to reach potential candidates. Here's a step-by-step guide on how to hire a master data analyst:

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

What does a master data analyst do?

A master data analyst is responsible for maintaining the safety and security of the organization's network database, ensuring the correct data integration and processing, and monitoring the feasibility of data requirements. Master data analysts work closely with the technology department to perform data quality control procedures, resolve data management issues, and upgrade system features to prevent unauthorized access and malicious activities. A master data analyst must have excellent knowledge of the technology industry, as well as a strong command on the programming languages and system codes to manage data management complexities and improve business operational functions.

Learn more about the specifics of what a master data analyst does
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  1. Identify your hiring needs

    Before you post your master data analyst job, you should take the time to determine what type of worker your business needs. While certain jobs definitely require a full-time employee, it's sometimes better to find a master data analyst for hire on a part-time basis or as a contractor.

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

    Hiring the perfect master data analyst 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.

    The following list breaks down different types of master data analysts and their corresponding salaries.

    Type of Master Data AnalystDescriptionHourly rate
    Master Data AnalystComputer 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.$27-57
    Analyst LeadThe 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
    Document AnalystA document analyst is responsible for sorting and storing company documents safely and securely. Document analysts work closely with the marketing and public relations team to manage promotional materials and advertisements for editing and proofreading before publishing on various market platforms... Show more$12-29
  2. Create an ideal candidate profile

    Common skills:
    • Data Quality
    • Customer Service
    • Data Governance
    • Data Analysis
    • Data Integrity
    • ERP
    • MDM
    • SQL
    • Data Standards
    • Data Entry
    • Business Process
    • Troubleshoot
    • Process Improvement
    • Business Rules
    Check all skills
    Responsibilities:
    • Manage SharePoint document repository for project implementation.
    • Manage customer relationship by providing internal support; communicate ERP standards and infrastructure by answering questions; resolving concerns and issues.
    • Document all issues within the Microsoft CRM and Salesforce management systems.
    • Ensure data accuracy and standardization when researching and loading product and order information into Lawson ERP materials management system.
    • Train in SAS reporting using the GUI and CMD interfaces.
    • Involve in migrating the back-end services written in Java to SOA services.
    More master data analyst duties
  3. Make a budget

    Including a salary range in the master data analyst job description is a good way to get more applicants. A master data analyst salary can be affected by several factors, such as the location of the job, the level of experience, education, certifications, and the employer's prestige.

    For example, the average salary for a master data analyst in South Dakota may be lower than in Oregon, and an entry-level engineer typically earns less than a senior-level master data analyst. Additionally, a master data analyst with lots of experience in the field may command a higher salary as a result.

    Average master data analyst salary

    $83,970yearly

    $40.37 hourly rate

    Entry-level master data analyst salary
    $58,000 yearly salary
    Updated December 5, 2025

    Average master data analyst salary by state

    RankStateAvg. salaryHourly rate
    1California$98,556$47
    2Oregon$95,156$46
    3New Jersey$90,478$44
    4Delaware$86,689$42
    5Illinois$84,262$41
    6Florida$83,693$40
    7Maryland$81,437$39
    8Georgia$81,002$39
    9Pennsylvania$80,747$39
    10Kansas$80,468$39
    11Massachusetts$79,214$38
    12Mississippi$77,167$37
    13West Virginia$76,474$37
    14North Carolina$75,510$36
    15New York$74,459$36
    16Missouri$73,651$35
    17Ohio$72,989$35
    18Indiana$72,252$35
    19Texas$71,750$35
    20Wisconsin$70,721$34

    Average master data analyst salary by company

    RankCompanyAverage salaryHourly rateJob openings
    1Apple$130,343$62.6667
    2Nike$115,948$55.7411
    3AstraZeneca$109,967$52.872
    4AbbVie$109,723$52.7535
    5SAIC$108,884$52.3583
    6FUJIFILM Diosynth Biotechnologies$108,847$52.331
    7Tory Burch$106,526$51.21
    8Gillette$106,302$51.11
    9Applied Materials$104,750$50.364
    10Bayer$104,275$50.1324
    11Stryker$99,756$47.9617
    12Carestream$99,523$47.85
    13Stepan$98,630$47.42
    14Los Alamos National Laboratory$98,122$47.179
    15BASF$97,979$47.11
    16Florida Crystals$96,287$46.29
    17Xylem$96,286$46.297
    18Semtech$95,945$46.13
    19BD$94,452$45.41
    20Bio-Rad Laboratories$94,263$45.32
  4. Writing a master data analyst job description

    A job description for a master data analyst role includes a summary of the job's main responsibilities, required skills, and preferred background experience. Including a salary range can also go a long way in attracting more candidates to apply, and showing the first name of the hiring manager can also make applicants more comfortable. As an example, here's a master data analyst job description:

    Master data analyst job description example

    For a 4th year in a row, Aspirus has been recognized as one of the top 15 Top Health Systems in the United States by IBM Watson in their annual study identifying the top-performing health systems in the country based on overall organizational performance.
    We are seeking a MASTER DATA ANALYST in Wausau, Wisconsin at Aspirus, Inc. The Master Data Analyst is responsible for the integrity of the data that resides within the Lawson system. They act as the gatekeeper for item data to ensure accuracy within Lawson. Verifies data for newly requested items as well as maintains existing item data within the Lawson system. Partners with other areas of Supply Chain to resolve item issues or discrepancies. Collaborates with internal teams to develop or improve processes. Analyzes vendor item data in relation to data housed in Lawson and performs revisions as necessary. Utilizes best business practices and individual judgment for completeness of the Lawson item master.

    PROFESSIONAL EXPERIENCE/QUALIFICATIONS

    Knowledge of purchasing practices, contracts, and agreements normally acquired through completion of an Associate Degree in Business, IT, Finance/Accounting or equivalent. Bachelor's Degree in IT, Finance/Accounting or Business beneficial. Three to five years' experience in a purchasing environment or business office, with knowledge of medical equipment and supplies and accounting principles beneficial. Demonstrates strong clerical and computer skills. Must be proficient in Excel with intermediate to advanced knowledge of spreadsheets for detailed analysis, with the ability to perform v-lookups, pivot tables, and more complicated formulas beneficial. Demonstrates a process driven mindset and has strong communication and customer service skills. Possesses excellent time management skills and ability to prioritize own workload. Possesses strong analytical skills, with a high attention to detail and accuracy.

    Hours: Full time Benefit package available , 40 Hours per week, Day Shift.

    Aspirus Wausau Hospital is the flagship of the Aspirus system that serves patients in 14 counties across northern and central Wisconsin, as well as the Upper Peninsula of Michigan. It is a licensed private/not-for-profit facility with 325 beds and staffed by 350 physicians in 35 specialties. Aspirus Wausau Hospital is a Level II trauma center that provides primary, secondary and tertiary care services as a regional referral center. Specialty referral service emphasis exists in cardiology and cardiothoracic surgery, orthopedics and cancer. The hospital has an average daily inpatient census of 160 with approximately 15,000 admissions per year. Outpatient visits exceed 50,000 and there are also more than 24,000 annual emergency department visits.

    Best known for its world-class cardiovascular program, Aspirus Wausau Hospital also provides leading edge cancer, trauma, women's health, and spine and neurological care.

    As an Aspirus team, we demonstrate caring, we plan to impact the future, work with happiness and enthusiasm, recognize our power to make a difference and improve the health of our communities.

    Learn more about Wausau click here: Wausau, Wisconsin
  5. Post your job

    To find master data analysts 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 master data analysts they would recommend.
    • Recruit at local colleges. Attend job fairs at local colleges to recruit entry-level master data analysts 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 master data analyst job on Zippia to find and recruit master data analyst candidates who meet your exact specifications.
    • Use field-specific websites such as dice, engineering.com, stack overflow, it job pro.
    • Post a job on free websites.
  6. Interview candidates

    To successfully recruit master data analysts, 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.

    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.

    If your interviews with master data analyst applicants aren't enough to make a decision, you should also consider including a test project. These are often the best, most straightforward, and least bias-prone ways of determining who will likely succeed in the role. If you don't know how to design an appropriate test, you can ask someone else on the team to create it or take a look at these websites to get a few ideas:

    • 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 master data analyst

    Once you have selected a candidate for the master data 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 equally important to follow up with applicants who don't get the job with an email letting them know that the position has been filled.

    Once that's done, you can draft an onboarding schedule for the new master data analyst. 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 master data analyst?

Recruiting master data analysts 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.

You can expect to pay around $83,970 per year for a master data analyst, 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 master data analysts in the US typically range between $27 and $57 an hour.

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