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Weekend Qualitative Data Analysis Jobs in Washington

... analyses, and actionable recommendations for IRS stakeholders * Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models ...

... analyses, and actionable recommendations for IRS stakeholders * Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models ...

... analyses, and actionable recommendations for IRS stakeholders * Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models ...

... analyses, and actionable recommendations for IRS stakeholders * Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models ...

... analyses, and actionable recommendations for IRS stakeholders * Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models ...

... analyses, and actionable recommendations for IRS stakeholders * Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models ...

... analyses, and actionable recommendations for IRS stakeholders * Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models ...

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

... and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic * Demonstrated experience using statistical and analytical software ...

Showing results 41-60

Weekend Qualitative Data Analysis information

What is the difference between Weekend Qualitative Data Analysis vs Weekend Quantitative Data Analysis?

AspectWeekend Qualitative Data AnalysisWeekend Quantitative Data Analysis
CredentialsTypically requires a background in social sciences, research methods, or related fieldsOften requires a background in statistics, mathematics, or data science
Work EnvironmentResearch settings, focus groups, interviews, and content analysisData sets, statistical software, and numerical data interpretation
Industry UsageMarket research, social research, user experience studies

Weekend Qualitative Data Analysis involves interpreting non-numerical data like interviews and focus groups, often requiring research skills and social science knowledge. In contrast, Weekend Quantitative Data Analysis focuses on numerical data, statistical methods, and software tools. Both roles are essential in research projects but differ in data types, skills, and work environments.

What are the most commonly searched types of Qualitative Data Analysis jobs in Washington?

The most popular types of Qualitative Data Analysis jobs in Washington are:

$63K - $75K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Specialist, Data Analytics

Location: Bethesda, Maryland (Hybrid)

Reports To: Director, Data Analytics

FLSA Status: Exempt

________________________________________

About NACHC:

Founded in 1971, the National Association of Community Health Centers (NACHC) serves as the leading voice for America’s Health Centers and the people and communities they serve. NACHC works to promote the provision of high-quality, affordable, community-based health care to everyone, particularly to underserved populations.

________________________________________

Position Summary:

The Data Specialist independently conducts quantitative, qualitative, mixed-method, and survey-based research supporting NACHC's national research agenda. The position analyzes complex health-related data, develops evidence-based publications, and contributes to sponsored research, policy analyses, and strategic initiatives that inform Community Health Centers, policymakers, and national partners.

Working closely with the Data Analytics Manager, the Data Specialist provides technical support throughout the research lifecycle, including study design, survey development, data collection, statistical analysis, literature reviews, interpretation of findings, and dissemination of research products.

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Key Responsibilities:
    1. Research Design and Data Analysis
  • Conduct quantitative, qualitative, mixedmethod, survey, and secondarydata analyses using UDS and other national health datasets.
  • Design and program surveys, develop data collection tools, and monitor data quality throughout project implementation.
  • Clean, validate, merge, manage, and analyze complex datasets while ensuring data integrity and methodological accuracy.
  • Develop statistical tables, dashboards, charts, maps, and other data visualizations to communicate research findings.
    1. 2. Research Implementation and Scientific Support
  • Conduct literature reviews, environmental scans, and background research to support study design and proposal development.
  • Assist in developing research protocols, analytic plans, survey instruments, and evaluation methodologies.
  • Perform qualitative coding, thematic analysis, and synthesis of research findings.
  • Ensure research documentation and analytic files are complete, accurate, and reproducible.
    1. 3. Publications and Dissemination
  • Draft reports, issue briefs, fact sheets, manuscripts, conference abstracts, presentations, and other research products.
  • Translate complex research findings into accessible materials for health centers, policymakers, and other audiences.
  • Develop presentation materials, infographics, dashboards, and visual summaries of research findings.
  • Support conference presentations, webinars, technical assistance activities, and dissemination of research results.
    1. 4. Project Coordination and Collaboration
  • Coordinate assigned research activities and monitor project timelines, deliverables, and reporting requirements.
  • Collaborate with internal staff, consultants, health centers, and external research partners.
  • Maintain project documentation, shared workspaces, research databases, and tracking systems.
  • Support proposal development, grant reporting, and other sponsored research activities.
  • ________________________________________

    Required Qualifications:
  • Master's degree in public health, epidemiology, health services research, biostatistics, public policy, social science, or a related field.
  • 2+ years of applied research experience, including quantitative or qualitative analysis.
  • Experience conducting survey research, statistical analysis, or program evaluation preferred.
  • Knowledge of quantitative, qualitative, and mixedmethod research methodologies.
  • Experience analyzing healthrelated data and interpreting research findings.
  • Strong analytical, organizational, and criticalthinking skills.
  • Excellent scientific writing and verbal communication skills.
  • Ability to manage multiple assignments while meeting deadlines.
  • Ability to work independently while contributing effectively to multidisciplinary project teams.
  • 10% travel to NACHC conferences and events.
  • Key Skills and Competencies:
  • Strong proficiency in Microsoft Excel and Microsoft Office.
  • Experience with statistical software such as SPSS, SAS, Stata, R or other advanced analytic software preferred
  • Experience with survey platforms such as Qualtrics or SurveyMonkey.
  • Experience with Power BI, Tableau, ArcGIS, or other data visualization tools preferred.
  • Proficiency in using Asana or other project management software
  • Tableau, ArcGIS or mapping software
  • Data visualization
  • Team collaboration
  • Professional communication
  • ________________________________________

    Why Join NACHC?

    At NACHC, you’ll be part of a dedicated and collaborative team working to improve the health and well-being of communities nationwide. We offer competitive compensation, comprehensive benefits, and opportunities for growth in a purpose-driven organization.

    Salary: $63,000 - $75,000