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Spss Stata Jobs (NOW HIRING)

GLOTECH, Inc

Biostatisticians

Rockville, MD · On-site

Develops code in SAS, R, MPlus, SPSS & Stata * Provides analytic programming support for all phases of DB development. * Implements statistical methods established, evaluates results, investigates ...

GLOTECH, Inc

Biostatisticians

Rockville, MD · On-site

Develops code in SAS, R, MPlus, SPSS & Stata * Provides analytic programming support for all phases of DB development. * Implements statistical methods established, evaluates results, investigates ...

HCA HealthOne

Research Project Coordinator

Denver, CO · On-site

$53K - $77K/yr

Familiarity with Statistical Software (SPSS, STATA, R, or Python) * Advanced skills in Microsoft Office Suite (Word, PowerPoint, Excel, Outlook, WebEx) required * Ensure compliance to HCA data access ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$110K - $133K/yr

R, Python, SAS, SPSS, STATA, Tableau, and/or PowerBI for small to large data sets. * Proficient in the design, implementation, and operation of data management systems to support management of ...

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How much do spss stata jobs pay per year?

As of Sep 5, 2026, the average yearly pay for spss stata 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 Stata, and what do professionals using these tools do?

SPSS and Stata are powerful statistical software packages widely used by researchers, analysts, and data scientists to manage, analyze, and visualize data. Professionals working with SPSS or Stata typically conduct statistical analyses, create data visualizations, and generate reports to help organizations make data-driven decisions. They are often involved in fields like social sciences, healthcare, economics, and market research, where they clean datasets, run complex statistical tests, and interpret results to provide actionable insights.

What types of projects do professionals using SPSS and Stata typically work on, and how do they collaborate with other team members?

Professionals skilled in SPSS and Stata often work on projects involving statistical analysis of large datasets, such as academic research, healthcare studies, market research, or policy evaluation. They collaborate closely with subject matter experts, data managers, and sometimes IT staff to collect, clean, and analyze data, ensuring results are both accurate and meaningful. Regular communication with project leads and stakeholders is essential, as findings must be clearly presented and interpreted for non-technical audiences. This role frequently involves balancing independent analysis with teamwork to integrate statistical insights into broader organizational goals.

What are the key skills and qualifications needed to thrive as a data analyst specializing in SPSS and Stata, and why are they important?

To thrive as a Data Analyst specializing in SPSS and Stata, you need a solid background in statistics, data management, and analytical methods, usually supported by a degree in statistics, economics, or a related field. Proficiency in SPSS and Stata software, along with experience in data visualization tools and possibly certifications like IBM SPSS Statistics Certification, is essential. Strong attention to detail, problem-solving abilities, and effective communication skills help convey complex analytical insights to non-technical stakeholders. These skills ensure accurate data analysis, reliable research outcomes, and meaningful contributions to informed decision-making.

What is the difference between Spss Stata vs Data Analyst?

AspectSpss Stata

Spss and Stata are software tools used by Data Analysts for data management, statistical analysis, and reporting. Data Analysts often use both tools depending on project needs, industry standards, and personal expertise. While Spss is user-friendly for social sciences and survey data, Stata offers advanced statistical capabilities and scripting for complex analyses. Both are common in research, healthcare, and social sciences industries, making them frequently compared by professionals seeking the best tool for their data analysis tasks.

Is SPSS or Stata easier?

For SPSS and Stata users, SPSS is generally considered more user-friendly for beginners due to its graphical interface and menu-driven commands, while Stata offers more flexibility with command syntax suitable for advanced analysis. The ease of use depends on the user's familiarity with statistical software and the complexity of the tasks involved. Both tools are widely used in research and data analysis jobs, with Stata often preferred for programming and automation, and SPSS for straightforward statistical procedures.
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Spss Stata jobs near you
Infographic showing various Spss Stata job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

Biostatisticians

GLOTECH, Inc

Rockville, MD • On-site

Full-time

Re-posted 16 days ago

Job description

We seek Biostatisticians to join our team in support of our civilian federal government client who conducts and supports laboratory research, clinical trials, and epidemiological studies that explore health processes; examines the impact of disability and disease; and sponsors training programs for scientists, health care providers, and researchers .
The position is located in Bethesda, MD.
The position performs the following work responsibilities on a regular basis:
  • Formulates and investigates theoretical statistical techniques & models for Senior Scientists
  • Conducts statistical analyses
  • Develops code in SAS, R, MPlus, SPSS & Stata
  • Provides analytic programming support for all phases of DB development.
  • Implements statistical methods established, evaluates results, investigates anomalous findings, & implements resolutions to correct aberrant data.
  • Presents analyses findings.
  • Co-authors papers.

Qualification Requirements: Master's Degree in Statistics or related field and 2+ years of directly related experience. Experience to include using R, SAS, Excel, Latex, statistical method development, statistical modeling, longitudinal data analysis, & latent variable modeling.
Skills & Requirements Qualifications

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