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Statistical Analysis Jobs in Virginia (NOW HIRING)

This role combines field data collection activities with sophisticated statistical analysis to support evidence-based recommendations for technology deployment and system optimization. The position ...

This role combines field data collection activities with sophisticated statistical analysis to support evidence‑based recommendations for technology deployment and system optimization. The position ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Experience in statistical analysis (basic to intermediate) and data mining techniques. * Handson experience with data cleansing, wrangling, profiling tools, and data quality management. * Familiarity ...

Data Analyst

Chesapeake, VA · On-site

$90K/yr

Conduct statistical analysis and develop predictive models using R or Python. * Communicate insights, findings, and recommendations clearly to technical and nontechnical stakeholders. * Collaborate ...

Showing results 21-40

Statistical Analysis information

See Virginia salary details

$29.7K

$69.8K

$116.5K

How much do statistical analysis jobs pay per year?

As of Sep 9, 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.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average for all occupations. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher compensation.

What cities in Virginia are hiring for Statistical Analysis jobs?

Cities in Virginia with the most Statistical Analysis job openings:

Infographic showing various Statistical Analysis job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Temporary. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $69,846 per year, or $33.6 per hour.

Data Collector/Analyst (DHS)

Suffolk, VA • On-site

SimIS Inc.
51 - 200 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

ON SITE
Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is "excellence," with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team).
SimIS is currently recruiting for the listed position.
Job Description:
The DHS CBP Program Management Office Directorate (PMOD) serves as the Independent Test Authority (ITA) for CBP acquisition programs and requires comprehensive systems engineering and test and evaluation (T&E) support. SimIS seeks a Data Collector/Analyst responsible for collecting, validating, and analyzing test data from border security systems across diverse operational environments. This role combines field data collection activities with sophisticated statistical analysis to support evidence-based recommendations for technology deployment and system optimization. The position requires expertise in data collection methodologies, statistical analysis, and the ability to work in challenging field conditions while maintaining data integrity and quality.
Required Knowledge, Skills, and Abilities
  • Bachelor's degree in Statistics, Mathematics, Engineering, or related analytical field
  • Minimum 3 years of data collection and analysis experience, preferably in field testing environments
  • Ability to obtain and maintain DHS suitability background check
  • Ability to work in challenging field conditions across diverse terrains
  • Ability to travel to remote border locations for extended periods
  • 25% travel required
Technical Skills:
  • Statistical analysis software proficiency (R, SPSS, SAS, or equivalent)
  • Data visualization and reporting tools expertise
  • Understanding of surveillance system data types and formats
  • Knowledge of data collection methodologies and quality assurance
  • Experience with database management and data repository systems

Key Responsibilities
  • Collect and validate test data in operational settings across diverse border environments
  • Develop innovative data collection methods for surveillance and detection systems
  • Perform rigorous statistical analysis of test results and systems performance data
  • Create data collection plans and procedures for field test events
  • Maintain comprehensive technical data repository with monthly updates
  • Generate data analysis reports and visualizations for stakeholder consumption
  • Support trade study analysis with quantitative data and statistical insights
  • Ensure data quality and integrity throughout collection and analysis processes
  • Document data collection procedures and maintain quality control standards
  • Provide analytical support for performance metrics and system evaluation
  • Support continuous process improvement through data-driven recommendations
  • Coordinate with test teams to ensure proper data collection during field operations
Benefits:
  • Medical, Dental, and Vision
  • Short-Term Disability (at no cost to you) & Long-Term Disability
  • Life Insurance
  • Flex Spending Accounts
  • 401(k) Savings Plan
  • Tuition Assistance Program
  • Professional Development
  • Paid Time Off (PTO)
  • 11 Federal Holidays each year

SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer