Data Analyst II

1. About Our Client:

The organization operates in the behavioral and social science research sector, focusing on addressing urgent challenges in the United States and globally. It specializes in generating evidence and applying data-driven solutions to expand opportunities and improve lives. Within healthcare, the program collaborates with Medicare, Medicaid, federal and state agencies, foundations, and private organizations to advance evidence-based policy, financing, quality measurement, and value-based care, aiming to improve health outcomes, patient experiences, and affordability.

2. About the Opportunity:

The Data Analyst II supports healthcare-related projects by managing and analyzing complex healthcare data to produce high-quality, data-driven insights. This role applies quantitative methods and statistical modeling to large datasets, contributing to research that informs healthcare policy and program improvements. It plays a key part in ensuring accurate data analysis and effective communication of findings tailored to client needs.

3. Responsibilities:

• • Analyze healthcare data including claims and national surveys.
• • Construct, clean, and statistically model data using SAS and Python or R.
• • Apply statistical methods to analyze data.
• • Maintain accurate documentation and adhere to programming guidelines and quality assurance.
• • Summarize and report data findings in memos, briefs, or reports.
• • Collaborate professionally with peers, managers, and clients.
• • Meet project timelines and deadlines.
• • Manage and interpret research data using quantitative techniques.
• • Contribute to research study design and methodology.
• • Prepare technical documentation and reports.
• • Review work products for accuracy and consistency.

4. Requirements:

• • Bachelor’s degree in a quantitative field; master’s preferred.
• • 3-5 years of quantitative research experience in health policy or related field.
• • Minimum 3 years experience as a Programmer or Data Analyst with coding skills including merges, joins, and macros.
• • Proficiency in SAS required; Python and R strongly preferred.
• • Experience with large Medicare, Medicaid, MEPS, or similar claims or survey data.
• • Knowledge of data management and analysis techniques.
• • Strong problem-solving and advanced analytic skills.
• • Ability to manage multiple priorities and deliver high-quality work under deadlines.
• • Excellent verbal and written communication skills.
• • Ability to work independently and collaboratively in a fast-paced environment.
• • Must be authorized to work in the U.S. without visa sponsorship.

5. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.