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Statistical Analysis Jobs in Virginia (NOW HIRING)

Freddie Mac

Single Family Data Analyst

Mclean, VA · On-site

This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity ...

Freddie Mac

Single Family Data Analyst

Mclean, VA · On-site

This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity ...

Freddie Mac

This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity ...

New

Jobtailor

Senior Data Scientist

Alexandria, VA · On-site

$180 - $260/hr

Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics * Work with diverse data types (structured ...

Freddie Mac

Single Family Data Analyst

Mclean, VA · On-site

This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity ...

Freddie Mac

Single Family Data Analyst

Mclean, VA · On-site

This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity ...

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Showing results 41-60

All JobsStatistical Analysis JobsStatistical Analysis Jobs in Virginia

Statistical Analysis information

See Virginia salary details

$29.7K

$69.8K

$116.5K

How much do statistical analysis jobs pay per year?

As of Aug 17, 2026, the average yearly pay for statistical analysis in Virginia is $69,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $80,300.00 per year, depending on experience, location, and employer.

What is statistical analysis?

Statistical analysis is the process of collecting, exploring, and interpreting large amounts of data to discover underlying patterns and trends. It involves applying mathematical techniques to summarize data, test hypotheses, and make informed decisions. Professionals use statistical analysis in fields like business, healthcare, social sciences, and engineering to support evidence-based conclusions and predict future outcomes. Common methods include descriptive statistics, inferential statistics, regression analysis, and hypothesis testing.

How does a statistical analyst typically collaborate with other departments within an organization?

Statistical Analysts regularly work with teams such as marketing, finance, product development, and operations to interpret data and provide actionable insights. They often participate in cross-functional meetings to understand departmental goals and ensure that their analyses align with business objectives. Effective communication of complex statistical findings to non-technical colleagues is a key part of the role, as is adapting analysis techniques to suit different project needs. This collaborative environment fosters both professional growth and a deeper understanding of the broader organization.

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 solid background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or data science. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present complex data clearly. These skills ensure that analyses are accurate, actionable, and effectively support decision-making in various industries.

What is the difference between Statistical Analysis vs Data Analyst?

AspectStatistical AnalysisData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; certifications like SAS or SPSSDegree in Data Science, Statistics, or related; similar certifications often preferred
Work EnvironmentResearch labs, academic institutions, or industries focusing on data modelingBusiness settings, tech companies, or marketing firms analyzing data for insights
Employer & Industry UsageUsed across academia, healthcare, finance for in-depth data modelingCommon in corporate, retail, and tech sectors for reporting and visualization

While both roles involve working with data, Statistical Analysis focuses on developing and applying statistical models to interpret data, often requiring advanced statistical knowledge. Data Analysts primarily interpret data to generate reports and insights for business decisions. Both roles share similar credentials but differ in scope and application.

What cities in Virginia are hiring for Statistical Analysis jobs?

Cities in Virginia with the most Statistical Analysis job openings:

Statistical Analysis jobs near you
Infographic showing various Statistical Analysis job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $69,846 per year, or $33.6 per hour.

Data Scientist

Closure Technologies

Chantilly, VA

Full-time

Re-posted 6 days ago

Job description

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most challenging data problems.

Required Skills
  • 3+ years of experience in data science or analytics
  • Experience with the analysis of data and creation of data-driven visualizations
  • Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms
  • Ability to develop persistent monitoring applications for statistical or machine learning processes using Python and SQL
  • Ability to create reports and present findings based on statistical analysis
  • TS/SCI clearance with a polygraph Bachelor's degree in Computer Science
Desired Skills
  • Experience programming in an AWS cloud environment Experience working with LLMs, such as Claude or GPT
  • Experience with Tableau
  • Possession of strong communication skills
  • Business Analytics, Data Mining, or Statistical Analysis