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$30K

$70.5K

$117.5K

How much do statistical analyst jobs pay per year?

As of Jun 24, 2026, the average yearly pay for statistical analyst in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

What does a statistical analyst do?

A statistical analyst collects, analyzes, and interprets data to help organizations make informed decisions. They use statistical software and techniques to identify trends, create reports, and support business strategies, often working with large datasets and requiring strong analytical skills.

Is 40 too late for data science?

A career as a statistical analyst or data scientist can be pursued at any age, including 40. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Age is less a barrier than having the necessary technical knowledge and experience in data analysis tools like Python, R, or SQL.

What are some common challenges Statistical Analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a Statistical Analyst, and why are they important?

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

Is AI replacing data analysts?

AI is automating certain tasks within the role of a statistical analyst, such as data processing and basic analysis, but it does not fully replace the need for human expertise in interpreting complex data, making strategic decisions, and understanding context. Data analysts who develop skills in machine learning tools and programming languages like Python or R remain valuable in leveraging AI effectively. The role continues to evolve alongside technological advancements, emphasizing the importance of analytical thinking and domain knowledge.

What jobs in the US pay 300,000 a year?

For a Statistical Analyst, earning $300,000 annually typically requires senior-level experience, advanced skills in data modeling and programming, and often a role in finance, consulting, or technology sectors. Such compensation may include bonuses, stock options, or other incentives, and usually involves leadership responsibilities or specialized expertise. High-paying roles are often found in large organizations or firms with complex data needs.

What Is a Statistical Analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

More about Statistical Analyst jobs
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Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 86% Full Time, 10% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.
Manager, Statistical Analysis - W&H

Manager, Statistical Analysis - W&H

Ogletree Deakins

Riverside, CA • On-site, Remote

$155K - $170K/yr

Full-time

Posted 6 days ago

Job description

Focused on employment and labor law since 1958, Jackson Lewis P.C.'s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ways workplace law intersects business. We help employers develop proactive strategies, strong policies and business-oriented solutions to cultivate high-functioning workforces that are engaged and stable, and share our clients' goals to emphasize belonging and respect for the contributions of every employee.

The Firm is ranked in the First Tier nationally in the category of Labor and Employment Litigation, as well as in both Employment Law and Labor Law on behalf of Management, in the U.S. News - Best Lawyers "Best Law Firms".

This position will be fully remote, and will work closely with attorneys in the Jackson Lewis Wage and Hour Practice Group. This position will report to the Director of Data Analytics. The successful incumbent possesses deep analytical skills, is knowledgeable about the practice area, and works collaboratively across a national platform to streamline processes and deliver timely and accurate analysis that meet the needs of our clients.

Job Summary (basic description)

The Manager, Statistical Analysis is responsible for:

  • The quality and efficiency of the statistical work the assigned statistician team conducts in partnership with our attorneys and on behalf of our clients
  • Performing a variety of quantitative and qualitative statistical analyses leveraging various mediums on behalf of firm clients and in collaboration with Practice Group attorneys who support Wage & Hour litigation and day-to-day advice and counsel
  • Partnering with the Senior Director of Practice Enablement, Director of Data Analytics, and Practice Group attorneys to successfully manage and develop Practice Group Statisticians & Data Analysts
  • Training and development of Practice Group Statisticians, Data Analysts, and other data analytics professionals
  • Proactively managing the workflow of Practice Group projects and ensuring timely and accurate delivery of work product
  • Developing scalable processes to streamline work and more effectively meet needs of our clients and attorneys

Essential Functions

  • Design and implement all aspects of statistical analysis projects for firm clients.
  • Provide analysis to support defense strategies for federal, state agency and private litigation matters.
  • Communicate orally and in writing with clients regarding projects and data.
  • Manage deadlines and ensure projects are completed in a timely fashion.
  • Review and analyze large data sets for completeness and accuracy.
  • Design and create data summaries and databases from data obtained from various sources, including raw data and multiple forms of evidence.
  • Organize and maintain electronic and hard copy data files.
  • Work closely with Practice Group Principals to support continuity and consistency of statistical analysis among all JL offices and to support practice group initiatives.
  • Coordinate, prioritize, and manage the workload and project assignments of the Statisticians, Data Analysts, and other data analytics professionals.
  • Monitor project budgets to maximize profits and ensure efficiencies.

Qualifications/Skills Required

Required

  • 2+ years experience as manager of people, processes, quality and efficiency within a professional services setting.
  • 10 years of professional statistical and project management experience.
  • High level of proficiency in data analysis tools to include relational database concepts, language such as R, Python, VBA and applications such as Excel
  • Familiarity with entire MS Office 365 Suite.
  • Understanding of statistical concepts and tools sufficient to conduct and supervise accurate large-scale wage and hour statistical analysis
  • Critical thinking and problem-solving skills.
  • Ability to multi-task and manage multiple projects, from start to finish, with shifting priority levels.
  • Ability to work in a fast-paced environment.
  • Ability to interpret and report on client data.
  • Strong attention to detail, organizational, and communication skills.

Preferred

  • 10 years of experience in law firm focusing on EEO/Wage & Hour.
  • Ability to write programs/macros to automate repetitive statistical and data tasks.
  • Experience leveraging AI and LLMs to automate processes and ensure quality control of work.

Educational Requirements

  • Masters'-level degree in applied statistics, mathematics, economics, or a similar field or commensurate experience, required.

For California, the expected salary range for this position is between $155,000 and $170,000. The actualcompensation will be determined based on experience and other factors permitted by law.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.

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