Senior Research & Evaluation Data Analyst - Quantitative Remote

About the Role

We are seeking a Senior Research & Evaluation Data Analyst - Quantitative Remote to lead complex, data-driven research projects in healthcare and public policy. This fully remote role offers the opportunity to work with diverse datasets, applying advanced statistical and analytical techniques to generate actionable insights that inform decision-making and program evaluation.

What You'll Do

• 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.

Requirements

• 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.

Nice to Have

• Experience with data privacy regulations, including GDPR.
• Knowledge of artificial intelligence applications in data analysis.

What We Offer

• 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.