Senior Research & Evaluation Data Analyst - Quantitative at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Research & Evaluation Data Analyst - Quantitative in the United States.

This role provides the opportunity to lead complex, data-driven research projects in healthcare and public policy, with a focus on behavioral health and opioid response programs. You will work with diverse datasets, applying advanced statistical and analytical techniques to generate actionable insights that inform decision-making and program evaluation. The position involves collaboration with internal teams, mentoring junior analysts, and engaging directly with federal clients to present findings and support project outcomes. This is a high-impact, fully remote role where your expertise will shape research initiatives, drive methodological rigor, and influence policy and programmatic decisions in a meaningful way.

• Extract, clean, and analyze quantitative and qualitative data from multiple sources to evaluate health programs, including opioid response initiatives.
• Apply advanced statistical techniques such as sample weighting, complex survey analysis, and multivariate modeling to ensure rigorous and representative results.
• Identify patterns, trends, correlations, and causal relationships within behavioral health and other program datasets.
• Summarize analytical findings into detailed reports, briefs, and visualizations for internal teams and external stakeholders.
• Oversee and mentor junior analysts, providing guidance on methodology, quality review, and professional development.
• Present findings to federal government clients and respond to inquiries, ensuring deliverables align with project goals and client expectations.
• Support ongoing project communications, including analysis of survey and open-ended data, and contribute to project documentation and reporting.

• Master’s degree with 5+ years of experience, or PhD with 2+ years of experience in public health, social sciences, public policy, statistics, or a related field.
• Proficiency in statistical software (Python, R, SAS), qualitative analysis tools (NVivo, ATLAS.ti, MAXQDA, Dedoose), and data visualization tools (Power BI, Tableau).
• Strong experience with mixed-methods research, behavioral health datasets, and opioid-related datasets (e.g., HRSA, CDC WONDER, claims data).
• Demonstrated ability in advanced quantitative methods, including complex survey analysis, sample weighting, and multivariate modeling.
• Experience managing or mentoring junior analysts and reviewing analytical outputs for accuracy and quality.
• Strong written and verbal communication skills for presenting complex findings to diverse audiences.
• Experience interacting with federal clients or stakeholders, including presenting results and managing communications, is a plus.
• Familiarity with survey programming (Alchemer, SurveyMonkey) and proposal/grant writing is desirable.
• Excellent problem-solving skills, attention to detail, and ability to work independently in a fully remote environment.

• Competitive salary with compensation commensurate with experience.
• Fully remote work environment providing flexibility and work-life balance.
• Comprehensive health benefits including medical, dental, and vision coverage.
• Paid time off, holidays, and sick leave.
• Opportunities for professional development and mentorship.
• Collaborative and supportive team culture focused on growth and impact.