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Spss R Statistics Jobs (NOW HIRING)

Perform statistical analysis using software packages such as SPSS, R, Stata, or Excel * Clean, organize, and prepare datasets for analysis * Conduct descriptive and inferential statistical analyses

Senior Strategy Practitioner II

Chantilly, VA ยท On-site

$125K - $150K/yr

Background in statistical programming language (ideally SPSS, R, Tableau). Do you have what it takes? * Top Secret clearance with poly. * Master's degree with 6-10 years of expereince or Bachelor ...

Senior Data Analyst - Risk Product

Milwaukee, WI ยท On-site

$84K - $106K/yr

Bachelor's degree in Computer Science, Management Information Systems, Mathematics, Statistics ... Experience using analytical tools such as SQL, SAS, Microsoft Excel, SPSS, R, or similar platforms.

Senior Strategy Practitioner II

Chantilly, VA ยท On-site

$125K - $150K/yr

Background in statistical programming language (ideally SPSS, R, Tableau). Do you have what it takes? * Top Secret clearance with poly. * Master's degree with 6-10 years of expereince or Bachelor ...

Master's degree or higher preferred - Proven experience in epidemiological research and data analysis - Strong analytical skills and proficiency with statistical software (e.g., SAS, SPSS, R ...

... statistical/analytical software (e.g., Sawtooth, Q, SPSS, R) Experience working cross-functionally with product marketing, product management, and finance teams

Experience with advanced statistical/analytical software (e.g., Sawtooth, Q, SPSS, R) * Experience working cross-functionally with product marketing, product management, and finance teams #J-18808 ...

Comfortable working with data and applying statistical thinking to draw conclusions. * Familiarity with Excel, Google Sheets, SPSS, R, Python, SQL, or similar analytical tools is a plus. * Excellent ...

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Spss R Statistics information

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$30K

$70.5K

$117.5K

How much do spss r statistics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for spss r statistics 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 are SPSS and R statistics?

SPSS and R are both powerful statistical software tools used for data analysis. SPSS (Statistical Package for the Social Sciences) is a user-friendly, menu-driven application commonly used in social sciences, healthcare, and business for statistical analysis and data management. R is an open-source programming language and environment widely used by statisticians and data analysts for its flexibility, extensive packages, and advanced statistical techniques. Both tools are essential for professionals working with large datasets, statistical modeling, and data visualization.

What are the key skills and qualifications needed to thrive as an SPSS/R statistics analyst?

To thrive as an SPSS/R Statistics Analyst, you need a solid background in statistics, data analysis, and a relevant degree in fields like mathematics, statistics, or data science. Expertise in statistical software such as SPSS and R, along with familiarity with data visualization tools and programming basics, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting data and presenting findings clearly to stakeholders. These skills ensure accurate analysis, actionable insights, and effective data-driven decision-making within organizations.

What are some common challenges faced by professionals working with SPSS and R in statistical analysis roles?

Professionals using SPSS and R often encounter challenges such as ensuring data quality and integrity, handling large or complex datasets, and selecting the most appropriate statistical methods for specific research questions. Navigating differences in functionality and syntax between SPSS and R can also require adaptability, especially when collaborating with team members who may prefer one tool over the other. Staying updated on evolving statistical techniques and software updates is essential for delivering accurate and meaningful analyses.

What is the difference between Spss R Statistics vs Data Analyst?

AspectSpss R StatisticsData Analyst
Required skillsStatistical software proficiency, data analysis, programming (R), data visualizationData manipulation, statistical analysis, reporting, visualization
Work environmentResearch, academia, data science projectsBusiness, finance, marketing, healthcare
Common toolsSpss, R, Python, ExcelExcel, SQL, Tableau, R, Python

Both roles involve data analysis and statistical skills, often requiring knowledge of R and other tools. Spss R Statistics focuses more on statistical software and programming, while Data Analysts typically work across various platforms to interpret data for business insights. The roles overlap in skills but differ in application context and industry focus.

What careers use SPSS?

SPSS is widely used in careers such as data analyst, market researcher, social scientist, and healthcare researcher. These roles involve statistical analysis, data management, and reporting, often requiring proficiency in SPSS software and related statistical skills.

What other helpful pages are available for Spss R Statistics?

Other pages related to Spss R Statistics:

Infographic showing various Spss R Statistics job openings in the United States as of September 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

FBI Behavioral Analysis Units (BAUs) - Research Analyst with Security Clearance

Arlington, VA โ€ข On-site

Navanti Group
International Affairsย โ€ขย 11 - 50 employees

Other

Re-posted 18 days ago


Job description

Department:
Programs
Location: Stafford, VA (on-site at FBI facilities) Employment Type: Full-Time Number of Vacancies: 1โ€“5 positions Clearance Required: Active Secret with Lifestyle Polygraph (U.S. citizenship required) Background Navanti is seeking qualified Research Analysts to support the FBIโ€™s Critical Incident Response Group (CIRG) and Behavioral Analysis Units (BAUs). Analysts will provide advanced research in behavioral and social sciences, supporting investigations of violent crime, threat assessments, and national security matters. This role is ideal for candidates with a strong foundation in psychology, sociology, criminology, or related fields, who want to apply research skills in direct support of law enforcement and national security missions. Core Responsibilities Primary Duties: * Assist with research design, methodology, and data analysis strategies
* Collect and manage research data from case materials, datasets, and systems
* Conduct literature reviews and prepare concise, operationally summaries
* Support data cleaning, statistical testing, and analyses (SPSS, R, Excel)
* Draft and edit reports, research guides, and scholarly articles
* Provide monthly project status updates
Secondary Duties: * Collaborate with FBI staff and partner law enforcement agencies on collection
* Build and refine codebooks to support structured data analysis
* Present research findings to both technical and non-technical audiences
Minimum Requirements: * Masterโ€™s in sociology, psychology, criminology, political science, or related field * Minimum of 5 years of applied research experience (post-graduate)
* Experience in research design, data collection, and statistical analysis
* Proficiency in Microsoft Excel and SPSS (R, NVivo a plus)
* Strong critical thinking, oral, and written communication skills
* Ability to manage multiple projects independently
* Active Secret clearance and U.S. citizenship
Preferred Qualifications: * Background in law enforcement, intelligence, criminal justice, or national security
* Familiarity with classified research environments and FBI systems Equal Opportunity Statement Navanti Group, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.