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How to hire an analytical statistician

Analytical statistician hiring summary. Here are some key points about hiring analytical statisticians in the United States:

  • In the United States, the median cost per hire an analytical statistician 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 analytical statistician to become settled and show total productivity levels at work.

How to hire an analytical statistician, step by step

To hire an analytical statistician, you should create an ideal candidate profile, determine a budget, and post and promote your job. Here's a step-by-step guide on how to hire a analytical statistician:

Here's a step-by-step analytical statistician hiring guide:

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

    Before you post your analytical statistician 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 an analytical statistician 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?

    An analytical statistician's background is also an important factor in determining whether they'll be a good fit for the position. For example, analytical statisticians 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.

    This list shows salaries for various types of analytical statisticians.

    Type of Analytical StatisticianDescriptionHourly rate
    Analytical StatisticianStatisticians use statistical methods to collect and analyze data and to help solve real-world problems in business, engineering, healthcare, or other fields.$12-62
    Research BiostatisticianMost of the research biostatisticians oversee clinical trials and gather data for the development of new treatment interventions. They ensure that legal, scientific protocols are followed but are concerned with the accurate gathering and evaluation of data and recording... Show more$29-60
    Survey StatisticianA survey statistician is responsible for collecting and reviewing data and creating reports based on survey findings. Your duties include developing statistical models that will interpret the data accurately and clearly, promoting the organizational goal to increase the participation of respondents in surveys, and guiding junior statisticians in doing statistical reviews... Show more$12-63
  2. Create an ideal candidate profile

    Common skills:
    • SAS
    • Regression
    • R
    • Model Development
    Responsibilities:
    • Develop and execute accurate roll rate calculation SAS code.
    • Utilize SAS programming to analyze research data; document the results.
    • Identify opportunities to optimize the media budget by building time series regression models.
    • Conduct statistical analyses using SPSS software to provide attorneys with request information and to assist attorneys on various projects.
    • Set up and maintain UNIX and LINUX machines.
  3. Make a budget

    Including a salary range in your analytical statistician job description is one of the best ways to attract top talent. An analytical statistician can vary based on:

    • Location. For example, analytical statisticians' average salary in wyoming is 64% less than in california.
    • Seniority. Entry-level analytical statisticians 81% less than senior-level analytical statisticians.
    • Certifications. An analytical statistician with certifications usually earns a higher salary.
    • Company. Working for an established firm or a new start-up company can make a big difference in an analytical statistician's salary.

    Average analytical statistician salary

    $57,847yearly

    $27.81 hourly rate

    Entry-level analytical statistician salary
    $25,000 yearly salary
    Updated January 21, 2026

    Average analytical statistician salary by state

    RankStateAvg. salaryHourly rate
    1California$86,092$41
    2Maryland$74,631$36
    3New Jersey$74,236$36
    4Rhode Island$73,805$35
    5New York$72,749$35
    6Pennsylvania$61,276$29
    7North Carolina$57,507$28
    8Illinois$54,882$26
    9Florida$45,173$22

    Average analytical statistician salary by company

    RankCompanyAverage salaryHourly rateJob openings
    1Genentech$136,831$65.783
    2CVS Health$104,263$50.1314
    3Neustar$98,371$47.29
    4Merkle$96,616$46.45
    5IBM$94,167$45.27
    6Dun & Bradstreet$93,562$44.98
    7Pharmaceutical Product Development$66,475$31.96
    8Chime$60,380$29.03
    9Management Science Assoc$58,518$28.13
    10RCI$56,448$27.14
    11Zillow Group$53,388$25.671
  4. Writing an analytical statistician job description

    An analytical statistician 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 an analytical statistician job description:

    Analytical statistician job description example

    TransUnion's Job Applicant Privacy Notice

    What We'll Bring:
    Neustar, a TransUnion company, was recently acquired and all recruiting is taking place in coordination with TransUnion systems and processes.

    What is a Statistician, Advanced Analytics and Data Science?
    Neustar is looking for talented analysts with excellent quantitative and analytical skills. Our ideal candidates are determined to combine the art and science of data analytics and marketing to help clients address the complex challenges of marketing effectiveness, ROI, brand equity impact, channel effectiveness, and pricing. In the Statistician role, you'll work with senior data scientists on multi-million dollar customer engagements. You'll build your network with the top marketing leadership in major companies across virtually all industries. You'll work hands on with quantitative marketing data to analyze and reveal the business drivers of the Fortune 500. You will develop expertise at the intersection of big data, marketing, and consulting. Our work is not just about delivering a project and moving on to the next challenge. Instead, it's about delivering an evolving stream of value and enabling fact-based decision making.

    What You'll Bring:

    • Familiarity or interest in data analytics and/or statistical concepts such as marketing mix modeling, multi-touch attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting, and ROI analysis
    • Working knowledge of Excel, SQL, R, and Python or similar
    • Bachelor's degree (required) with mathematical or engineering background: Statistics, Data Mining, Operations Research, Econometrics, Finance, Engineering or similar
    • An effective client-facing communicator in both written and verbal skills
    • Ability to manage multiple projects with a large cross-functional team
    • Ability and willingness to learn in a fast paced environment and adapt to the situation
    • 1 to 3 years of quantitative analytics experience with marketing metrics and tracking is helpful but not required


    Impact You'll Make:
    • You'll help clients know everything they can about their customers and prospects, deliver exceptional customer experiences, and know if their marketing worked and how to make it better.
    • You'll help diagnose business needs, translate into questions that Neustar will answer, and architect ways to wrangle data from multiple sources.
    • You'll work closely with Neustar's data scientists, consultants, and external clients to identify new insights, translate findings into the stakeholder's native language and tell stories to make complex things simple to understand and translate into measurable actions.
    • You'll implement our unified analytics solutions to address marketing effectiveness, return on investment (ROI), brand equity impact, segmentation, pricing, and environmental factors.
    • Work with senior data scientists and offshore associates to ensure model quality in terms of modeling methodologies, data / model validation metrics, actionable insights, and analytical/technical best practices.
    • In our Neustar proprietary analytics platform implement multi-touch attribution models (MTA) and marketing mix models (MMM) that are based on statistics, econometrics, and/or machine learning techniques such as logistic regression, choice model, time-series model, panel data model, Bayesian statistics, ridge regression, structural equations, probability theory, clustering algorithms, etc.
    • Analyze big data sets to generate deep insights on paid media, organic media, market conditions, web navigations, and individuals' propensities on multi-step conversion activities in the consumer journeys.
    • Validate model results and package them into insightful client-friendly reports on ROI analysis, forecasting, simulation and optimization.
    • Ensure rigorous quality control and detect anomalies in the model with ongoing new data stream.
    • Interdisciplinary work: you'll interact with multiple teams across the firm to implement our end-to-end solutions and improve processes: Data Operations, Solution Architects, Consulting Services, Product and Engineering.

    We're excited to announce Neustar has joined the TransUnion team as part of an acquisition that took place in late 2021. As part of the transition, there may be changes specific to the organizational alignment and title of this position. All other details of this position, such as job responsibilities, will not be impacted due to the transition. Neustar's addition to TransUnion is leading to accelerated growth to our marketing, risk and communications businesses and furthers our data-oriented strategy. We hope you'll join us in the next phase of this journey.

    We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

    TransUnion's Internal Job Title:
    Acquisition Exempt, Acquired Associate
  5. Post your job

    To find the right analytical statistician 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 analytical statisticians they would recommend.
    • Recruit at local colleges. Attend job fairs at local colleges to recruit analytical statisticians 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 analytical statistician job on Zippia to find and recruit analytical statistician candidates who meet your exact specifications.
    • Use field-specific websites.
    • Post a job on free websites.
  6. Interview candidates

    Your first interview with analytical statistician 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.

    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.

    Sometimes, it's not enough to interview analytical statistician 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 analytical statistician

    Once you have selected a candidate for the analytical statistician 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.

    You should also follow up with applicants who don't get the job with an email letting them know that you've filled the position.

    Once that's done, you can draft an onboarding schedule for the new analytical statistician. 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 an analytical statistician?

Before you start to hire analytical statisticians, 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 analytical statisticians pay close attention to the initial cost of hiring, ongoing costs are much more significant in the long run.

The median annual salary for analytical statisticians is $57,847 in the US. However, the cost of analytical statistician hiring can vary a lot depending on location. Additionally, hiring an analytical statistician for contract work or on a per-project basis typically costs between $12 and $62 an hour.

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