Senior Research & Evaluation Data Analyst - Quantitative

Customer Value Partners

4h • Remote

About The Position

CVP is an award-winning healthcare and next-gen technology consulting firm recognized for excellence and innovation in the solutions we provide our clients across healthcare, national security, and the public sector. CVP seeks an experienced Quantitative Data Analyst to join our growing Health Research and Technology team.

Requirements

• Master’s degree with at least 5 years of experience, or PhD with at least 2 years of experience, in a relevant field, such as public health, social sciences, public policy, or statistics.
• Proficiency in statistical software packages (e.g., Python, R, SAS), qualitative analysis software packages (e.g., NVivo, ATLAS.ti, MAXQDA, Dedoose) and data visualization tools (e.g., Power BI, Tableau).
• Experience in conducting research and data analysis using mixed methods to identify distributions, patterns, trends, correlation/causality and a holistic understanding of the data.
• Experience with advanced analytical techniques such as sample weighting, complex survey analysis, and multivariate modeling.
• Experience managing or mentoring junior analysts, including delegating tasks, reviewing work products, and providing constructive feedback.
• Experience with analyzing behavioral health and/or opioid-related datasets (e.g., HRSA datasets, CDC WONDER, hospital claims) as well as open-ended data from surveys, interviews and focus groups.
• Experience summarizing analytical findings into detailed reports, data briefs, and factsheets.
• Strong problem-solving skills.
• Strong written and verbal communication skills for presenting analytical findings to audiences of varying technical backgrounds.

Nice To Haves

• Experience interacting with federal government clients or stakeholders, including presenting findings and managing client communications, is a plus.
• Experience with survey programming (e.g., Alchemer, SurveyMonkey) is a plus.
• Experience with proposal/grant writing is a plus.

Responsibilities

• Apply quantitative and qualitative methods to identify distributions, patterns, trends, and correlations/causality using behavioral health data (e.g., substance and opioid misuse outcomes, service capacity, performance indicators) and present results with team members
• Extract, clean, and analyze data from multiple sources to evaluate the Health Resources and Services Administration's Rural Communities Opioid Response Program (RCORP)
• Oversee and mentor junior analysts, providing guidance on analytical approaches, quality review of work products, and supporting their professional development
• Conduct sophisticated analyses including sample weighting, complex survey analysis, and other advanced statistical techniques to ensure methodologically rigorous and representative findings
• Interact and engage directly with federal government clients, including:
• Presenting analytical findings
• Responding to client inquiries
• Supporting ongoing project communications to ensure deliverables align with client needs and expectations

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees