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Social Science Research Data Analyst Jobs (NOW HIRING)

Research Data Analyst

Santa Monica, CA · On-site

$51.83 - $64.76/hr

Naughty Dog is looking for a Research Data Analyst to join our User Research team and help us ... Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Psychology ...

... a Research Data Analyst interested in a career at the research-policy nexus supporting the ... science to policy * Curiosity and a generalist attitude with interest in diverse social policy ...

The Center for Population Health Sciences at Stanford University School of Medicine is seeking a ... Key objectives include linking EHR data with social and environmental factors that influence health ...

Research Data Analyst 2

Stanford, CA · On-site

$108K - $128K/yr

The Center for Population Health Sciences at Stanford University School of Medicine is seeking a ... Key objectives include linking EHR data with social and environmental factors that influence health ...

PhD in relevant field Demonstrated expertise applying social science and data analysis to military ... research at the CCMD, Service Component Command, Joint Task Force or similar level Familiarity with ...

Demonstrated expertise applying social science and data analysis to military evaluations and ... and research at the CCMD, Service Component Command, Joint Task Force or similar level

... social science research methods, you will provide data-driven insights that inform operational ... Your research and analytical expertise will directly contribute to developing evidence-based ...

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Social Science Research Data Analyst information

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$74K

$99.5K

How much do social science research data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for social science research data analyst in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a social science research data analyst?

Social Science Research Data Analysts are professionals who collect, process, and analyze data related to human behavior, societies, and social policies. They use statistical methods and software to interpret data, identify trends, and provide insights that inform research studies or policy decisions. These analysts often work with large datasets, collaborate with researchers, and present their findings through reports or visualizations. Their work supports evidence-based decision-making in fields such as sociology, psychology, economics, and public policy.

What are some common challenges faced by social science research data analysts when working with large and complex datasets?

Social Science Research Data Analysts often encounter challenges such as data cleaning, managing missing or incomplete data, and ensuring data integrity across diverse sources. Large datasets can also present difficulties in maintaining consistency and reproducibility of analyses, especially when collaborating with multidisciplinary teams. Additionally, analysts must stay updated on ethical considerations and privacy regulations when handling sensitive participant information. Addressing these challenges requires strong attention to detail, effective communication, and proficiency with statistical software and data management tools.

What are the key skills and qualifications needed to thrive as a social science research data analyst, and why are they important?

To thrive as a Social Science Research Data Analyst, you need strong quantitative and qualitative research skills, statistical analysis expertise, and a relevant degree in social sciences or a related field. Familiarity with data analysis tools such as SPSS, R, Stata, or Python, as well as experience with data visualization and survey software, is typically required. Excellent critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and present findings clearly. These abilities are essential for producing insightful, reliable research that informs evidence-based decisions in social science contexts.
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Infographic showing various Social Science Research Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

Social Science Research and Testbed Support Specialist (Scientist IV)

Norman, OK

FedWriters, Inc.
Document Preparation and Secretarial Services • 51 - 200 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Great forecasts don't help anyone if people don't understand or trust them. As FWI's Social Science Research and Testbed Support Specialist supporting NSSL, you will design and lead qualitative and mixed-methods research — interviews, focus groups, surveys — to evaluate how forecasters, emergency managers, and other decision-makers use experimental severe weather forecasts . Your work with the Hazardous Weather Testbed (HWT), other operational testbeds, and observational fieldwork will directly shape how new forecast and warning technologies are built, tested, and communicated, bridging the physical science of severe weather with the human side of decision-making.

Work Schedule and Location:


Hybrid: This full-time hybrid position will work Monday through Friday, 8 AM CST to 5 PM CST, with 90% at National Severe Storms Laboratory (NSSL), National Weather Center, Norman, Oklahoma, or designated field deployment locations.


  • Design and implement qualitative and mixed-methods research studies to address questions related to hazardous weather forecasting, warning communication, and decision-making
  • Develop interview protocols, focus group guides, survey instruments, and associated research materials based on project objectives and scientific research questions
  • Conduct in-person and virtual interviews with operational forecasters, emergency managers, decision-makers, and other stakeholders before, during, or following significant weather events
  • Facilitate focus groups, workshops, and user engagement activities to evaluate emerging forecast and warning technologies, products, and services
  • Support Hazardous Weather Testbed (HWT) and other operational testbed activities by assisting with experiment design, participant coordination, facilitation, note-taking, and transcription
  • Collaborate with physical scientists, developers, and operational partners to design effective social science evaluation strategies for experimental forecasting tools and workflows
  • Analyze qualitative and mixed-methods datasets using established social science methodologies and software tools
  • Synthesize findings into actionable recommendations that inform forecast product development, operational procedures, and decision-support services
  • Ensure all research activities comply with applicable human subjects protections and institutional review board (IRB) requirements, including protocol development, participant consent procedures, and data management practices
  • Prepare technical documentation, research summaries, and project reports supporting ongoing research and evaluation activities
  • Contribute to quarterly and annual project reporting requirements
  • Lead or contribute to peer-reviewed publications and present research findings at scientific conferences, workshops, and stakeholder meetings

Required: 

  • MA/MS in a social science discipline, geography, meteorology, communication, psychology, sociology, emergency management, human factors, or a related field (PhD preferred)
  • 8+ years of professional or academic experience

Desired: 

  • Experience designing and conducting qualitative or mixed-methods research, including interviews, focus groups, and surveys
  • Knowledge of social science research methodologies and qualitative data analysis techniques
  • Experience developing research protocols, interview guides, focus group procedures, and survey instruments
  • Familiarity with human subjects research requirements, including IRB processes, participant protections, and ethical research practices
  • Experience facilitating stakeholder engagement activities, workshops, focus groups, or operational testbed experiments
  • Demonstrated ability to collect, organize, analyze, and synthesize qualitative and mixed-methods datasets
  • Strong written and oral communication skills, including experience preparing technical reports, presentations, and peer-reviewed publications
  • Ability to work effectively with interdisciplinary teams of social scientists, physical scientists, software developers, and operational practitioners
  • Willingness and ability to conduct in-person research activities, including field interviews, workshops, and testbed experiments

Work Setting and Environment:

  • Primary location: National Severe Storms Laboratory (NSSL), National Weather Center, Norman, Oklahoma, or designated field deployment locations
  • Normal work hours are Monday through Friday, 8 hours per day / 40 hours per week, excluding federal holidays; field data-collection activities may require irregular hours during active severe weather events
  • Remote work arrangements must be reviewed and approved in advance by the Contracting Officer's Representative (COR); on-site presence may be required based on mission, field operations, collaboration, or security needs
  • Local and non-local travel may be required, not anticipated to exceed 5% annually; all unplanned travel must be approved in writing by the COR at least 10 calendar days in advance
  • Must complete an online IT security awareness course within one week of starting work
  • Foreign national candidates are subject to export control review and require CO/COR approval prior to consideration
  • Government-furnished equipment provided, including access to HPC resources, specialized mobile observation platforms, laboratory test equipment, computers, and office workspace, as applicable

FWI is an Equal Opportunity Employer, including disability/vets. 


At FWI, we place the highest importance on creating an exceptional employee experience. You'll have opportunities to achieve your career aspirations through internal promotions, professional development, and other recognition and rewards programs. Join our team and take advantage of the many benefits we offer, including:

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Long-term and Short-term Disability Insurance
  • Life Insurance
  • 401(k) Plan
  • Holiday Pay
  • Paid Time Off

$83,000.00 to $87,000.00