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Statistical Analyst Jobs (NOW HIRING)

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Live Statistics Inputter - OPS

Jacksonville, FL

$25/hr

Adhere to NCAA, conference, and institutional statistical guidelines. * Maintain focus and composure in high-pressure, live-event settings. * Assist with post-game stat corrections or uploads as ...

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How much do statistical analyst jobs pay per year?

As of Jul 15, 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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but statistical analysts play a crucial role in interpreting complex data, developing models, and making strategic decisions. The role of a statistical analyst involves skills in statistical methods, programming, and critical thinking that are not easily replaced by AI alone.

What does a Statistical Analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

Can I be a data analyst with no experience?

Statistical Analysts often require some background in statistics, data analysis, or related fields, but entry-level positions may be available for those with strong analytical skills and proficiency in tools like Excel or SQL. Gaining relevant certifications or completing online courses can improve chances of starting a career without prior experience.

Is 40 too late for data science?

A statistical analyst or data scientist can start a career at age 40, as many professionals transition into data roles later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with experience and continuous learning.

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.

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.

What do statistical analysts do?

Statistical analysts collect, analyze, and interpret data to help organizations make informed decisions. They use statistical software and techniques to identify trends, create reports, and support strategic planning. Strong analytical skills and knowledge of tools like Excel, R, or SAS are essential for this role.
More about Statistical Analyst jobs
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What are the most commonly searched types of Statistical Analyst jobs? The most popular types of Statistical Analyst jobs are:
Who are the top companies hiring for Statistical Analyst jobs? The top employers for Statistical Analyst jobs are:
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Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.
Sr. Analyst, Stats Programming

Sr. Analyst, Stats Programming

Neurocrine Biosciences, Inc.

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Who We Are:
Neurocrine Biosciences is a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering, developing and commercializing life-changing treatments for patients with under-addressed neurological, psychiatric, endocrine and immunological disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, hyperphagia in patients with Prader-Willi syndrome, endometriosis* and uterine fibroids*, as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For more than three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders, because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X, Facebook and YouTube. (*in collaboration with AbbVie)
About the Role:
Designs, develops, tests, maintains, validates, and documents SAS programs to evaluate clinical data and meet the project requirements for SAS statistical programming efforts for clinical and non-clinical projects and studies. Provides technical expertise to the development of programming standards and procedures.
Your Contributions (include, but are not limited to):
  • Serves as the primary project team representative, delegating work as appropriate
  • Generates SDTM domains, ADaM data sets, and Define.xml files with proficiency in creating specification files for these domains
  • Generates analysis data sets, tables, figures, and listings to support the analysis of clinical trials data
  • Reviews output across programs to ensure consistency
  • Reviews maintains and approves study documents per standard procedures
  • Provides programming support to supplemental or exploratory analyses for regulatory agencies or any other internal and external ad-hoc requests
  • Programs, tests, and documents global utility programs and tools in accordance with standards and validation procedures
  • Provides technical expertise to the development of programming standards and procedures, technical expertise in the areas of analysis and reporting
  • Participates in the development and/or maintenance of departmental procedures and standards
  • Performs programming using techniques such as macro language, advanced data manipulation, and statistical procedures
  • Implements data management plans designed to meet project and protocol deadlines
  • Acts as a liaison between clinical management, subcommittees and project teams as needed
  • May train and mentor new programmers
  • Performs other duties as assigned

Requirements:
  • BS/BA degree in computer science, mathematics, statistics, or related discipline AND 4+ years experience in the Biopharmaceutical (or CRO) industry as a statistical programmer with advanced knowledge of SAS, (Base, Stat, Macro, graph). In addition, must have at least three years of experience serving in a supervisory or lead capacity. Experience managing projects OR
  • Master's degree in computer science, mathematics, statistics, or related discipline AND 2+ years of similar experience noted above OR
  • PhD in computer science, mathematics, statistics, or related discipline AND similar experience as noted above
  • Understands key business drivers and uses this understanding to accomplish work
  • Has strong understanding of processes, procedures and systems used to accomplish the work and recognizes downstream impact on other functional areas
  • Proficient with tools and processes that support work conducted by functional area
  • Ability to work as part of a team; may train lower levels
  • Excellent computer skills
  • Strong communications, problem-solving, analytical thinking skills
  • Detail oriented yet can see broader picture for department
  • Ability to meet multiple deadlines, with a high degree of accuracy and efficiency
  • Strong project management skills
  • Strong interpersonal skills to effectively work in a team environment
  • Excellent organizational skills, time management, and ability to coordinate workload and meet established deadlines
  • Proficiency with Word, Excel, and PowerPoint is required as is the ability to communicate effectively both verbally and in writing
  • Demonstrates strong knowledge with industry standards, such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
  • Strong programming skills in SAS, (Base, Stat, Macro, graph), R, STAT or similar
  • Strong knowledge of SDTM domains, ADaM data sets, and Define.xml files with proficiency in creating specification files for these domains
  • Strong knowledge of writing, validating, and documenting statistical programs, and of creating integrated programming libraries and systems
  • Strong understanding of relational databases and experience working with complex data systems

We will make multiple hires at this level.
#LI-SA1
Neurocrine Biosciences is an EEO/Disability/Vets employer.
We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.
The annual base salary we reasonably expect to pay is $110,800.00-$151,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 20% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.

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