Analyst I - REMOTE

HSAG is nationally recognized as an industry leader in healthcare data analytics, healthcare quality measurement, measure development, and survey research. We are seeking talented, intellectually curious individuals who are interested in beginning or advancing a career in healthcare analytics as an Analyst I within HSAG’s Data Science & Advanced Analytics division.

The Analyst I works with experienced analysts, data scientists, project managers, and healthcare professionals to transform complex healthcare data into meaningful and actionable information. This position provides an opportunity to develop technical skills while contributing to projects designed to improve healthcare quality, outcomes, equity, and efficiency.

At HSAG, our work supports positive change across the healthcare system. The Analyst I will contribute to that mission by applying quantitative methods, developing reliable analytical products, and communicating findings that help healthcare decisionmakers better understand performance and identify opportunities for improvement.

The Analyst I position is a key contributor to cutting-edge analytic work that spans the broad spectrum of healthcare data projects at HSAG. Driven by intellectual curiosity and a passion for healthcare quality, the Analyst I position supports innovative analytic plans that are intended to provide healthcare decision and policy makers with the necessary information to transform healthcare. HSAG analysts within the Data Science & Advanced Analytics division assist in designing a wide array of analytic studies and participate in all phases of the research design process.

Analysts may work with a wide array of data to facilitate data exploration, including (but not limited to) the following data types:

• survey
• case review
• medical and prescription drug claims and encounters
• eligibility
• demographic
• clinical
• electronic health record
• registry
• vital statistics
• operational

Details regarding potential project assignments and key sources of data will be discussed with candidates during the interview process.

The Analyst I is expected to perform the following responsibilities with appropriate guidance and oversight:

Analytical and Technical Responsibilities

• Serve as an engaged and collaborative member of HSAG’s Data Science & Advanced Analytics division.
• Develop an understanding of common healthcare data sources, structures, terminology, uses, and limitations.
• Apply established statistical, epidemiological, and analytical methods to address defined project questions under the guidance of senior staff.
• Write, test, and maintain accurate and efficient statistical programming code.
• Use SAS, Python, and other approved analytical tools to access, combine, transform, analyze, and summarize data under the direction of senior staff.
• Work with relational databases and use structured query methods to retrieve and evaluate data.
• Prepare analysis-ready datasets by cleaning, recoding, joining, aggregating, and restructuring source data.
• Conduct descriptive analyses and support the development of appropriate statistical models.
• Implement approved analysis plans, programming specifications, and data validation procedures.
• Perform quality-control reviews, including record counts, frequency reviews, reasonableness checks, reconciliation activities, and independent verification of analytical results.
• Investigate proactively unexpected findings, data anomalies, and discrepancies, and communicate concerns to senior project staff.
• Cross-reference results against source documentation, technical specifications, prior reporting periods, or independently generated outputs.
• Produce accurate tables, charts, figures, data files, summaries, and other analytical deliverables.
• Maintain clear and reproducible documentation of data sources, programming logic, assumptions, analytical methods, and quality-control activities.
• Follow applicable organizational requirements for data privacy, security, confidentiality, and appropriate use of healthcare information.

• Complete assigned analytical tasks accurately and within established project timelines.
• Manage multiple assignments by organizing work, monitoring deadlines, and communicating status to project leadership.
• Participate actively in project meetings, technical discussions, peer reviews, training sessions, and division activities.
• Collaborate effectively with other analysts, data scientists, project managers, clinicians, researchers, and other internal and external partners.
• Seek clarification when project requirements, source data, specifications, or expected outputs are unclear.
• Incorporate feedback from senior staff and demonstrate continuous improvement in technical and professional performance.
• Identify potential risks to analytical quality, schedules, or deliverables and communicate them promptly to the appropriate team member.
• Contribute to the development and refinement of standardized processes, reusable programming, documentation, and analytical tools.

• Translate analytical results into clear, accurate, and audience-appropriate findings.
• Assist in preparing technical reports, presentations, written summaries, and customer deliverables.
• Present analytical methods and findings to internal teams and, when appropriate, customers or other stakeholders.
• Explain technical information clearly to individuals with varying levels of analytical expertise.
• Demonstrate professionalism, responsiveness, dependability, and sound judgment in interactions with colleagues and customers.
• Protect confidential, proprietary, and sensitive information.
• Represent HSAG professionally and consistently in all work-related interactions.

• Bachelor’s degree in a quantitative, analytical, public health, health services research, or related discipline. Relevant disciplines may include statistics, mathematics, economics, epidemiology, biostatistics, data science, computer science, health informatics, public policy, or a closely related field.
• Completion of college-level coursework in statistics and other quantitative or analytical methods.
• Academic, internship, research, or professional experience using data to answer defined questions, evaluate patterns, or produce analytical findings.

Preferred

• Master’s degree in a quantitative, analytical, public health, or healthcare-related discipline.
• Experience working with healthcare, public health, administrative, clinical, survey, or research data.
• Experience contributing to analytical projects in an academic, government, healthcare, consulting, or research environment.
• Experience preparing analytical results for technical and nontechnical audiences.
• Equivalent combinations of education and relevant experience may be considered, consistent with organizational requirements.

• Foundational knowledge of statistical concepts and quantitative research methods.
• Knowledge of statistical programming in at least one language or analytical environment, such as SAS, SQL, R, or Python.
• Ability and willingness to develop proficiency in SAS programming.
• Experience working with relational databases or structured datasets.
• Ability to review, clean, manipulate, analyze, and validate data.
• Proficiency in Microsoft Excel and Word.
• Familiarity with Microsoft PowerPoint and data visualization concepts.
• Ability to understand and follow technical specifications, programming requirements, and analytical protocols.
• Commitment to producing accurate, validated, well-documented, and reproducible analytical work.

• Strong analytical reasoning and problem-solving skills.
• Careful attention to detail, data accuracy, and analytical quality.
• Excellent written and verbal communication skills.
• Ability to communicate technical concepts clearly and concisely.
• Ability to learn new data sources, analytical methods, programming techniques, and healthcare subject matter.
• Ability to manage multiple assignments, organize competing priorities, and meet established deadlines.
• Ability to work independently while knowing when to seek direction or escalate concerns.
• Ability to work collaboratively across multidisciplinary and geographically distributed teams.
• Openness to constructive feedback and a demonstrated commitment to professional growth.
• Sound judgment when handling confidential, proprietary, or sensitive information.
• Demonstrated professionalism, dependability, initiative, and accountability.