Healthcare Data Analyst

Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication. Our core capabilities are our top-tier program and project management, data analytics, and audit services, the backbone of which is our integrated approach to operational excellence.

You worked hard to get to where you are. You strive to make every day better than the day before. So do we. Team CATHEXIS operates with an all-in mindset. We are working together to create a company that supports our shared values and individual goals. Our values are centered around Respect, Integrity, Teamwork, and Excellence in everything we do for our employees, clients, partners, and communities. We believe success is best when we listen and lead with empathy; model high standards of ethics to provide a rewarding candidate experience; work hard, have fun, and appreciate the strengths we all bring to the team; and empower our employees to create innovative and trusted results.

We are looking for a dynamic Healthcare Data Analyst to join our team! This exciting opportunity focuses on using data to shape healthcare delivery and policy. The analyst will collaborate with stakeholders across disciplines, leveraging large datasets and advanced statistical tools to drive strategic insights and support mission-critical decisions.

Responsibilities:

• Data Collection and Management: Routinely gather healthcare data from various sources, ensuring its accuracy, completeness, and timeliness. This may involve working with electronic health records (EHRs), insurance claims data, patient surveys, and public health databases
• Data Analysis: Apply statistical analysis and data mining techniques to healthcare data to identify patterns, trends, and correlations. This could involve using software such as SAS, SPSS, R, or Python for complex data analysis
• Report Generation: Prepare detailed reports and presentations summarizing data analysis findings. These reports are tailored to different audiences, including healthcare providers, policymakers, and administrative staff, to support evidence-based decision-making
• Collaboration and Communication: Work closely with healthcare professionals, IT specialists, and policy analysts to ensure data accuracy and relevance. This includes attending meetings, giving presentations, and contributing to interdisciplinary teams focused on healthcare improvement projects
• Data Visualization: Create charts, graphs, and other visual aids to help stakeholders understand the data and its implications for healthcare delivery, policy, or efficiency
• Quality Assurance: Conduct regular audits and quality checks on healthcare data to maintain the integrity and reliability of analyses. This may also involve updating data collection and analysis methodologies in response to new healthcare standards or technologies
• Research and Development: Stay informed about the latest trends in healthcare data analysis, including new tools, techniques, and methodologies. This could involve participating in workshops, webinars, and professional development opportunities
• Policy and Strategy Support: Use data-driven insights to support developing and evaluating healthcare policies and strategies. This may include performing cost-benefit analyses, forecasting healthcare needs, and assessing the impact of policy changes on healthcare outcomes
• Data Security and Privacy Compliance: Ensure that all data handling and analysis activities comply with relevant laws and regulations regarding data security and patient privacy, such as HIPAA (Health Insurance Portability and Accountability Act) in the United States
• Perform other duties as required

Requirements:

• Must have an active Public Trust or the ability to obtain and maintain a Public trust, which requires U.S. citizenship, a favorable background check (including criminal, credit, and employment history)
• Bachelor’s degree in a relevant field such as Health Informatics, Public Health, Biostatistics, Computer Science, or a related discipline
• At least one (1) to two (2) years of experience working with healthcare data, including claims, EHRs, or public health datasets
• Proficiency in statistical analysis and the use of software tools such as SAS, R, SPSS, Python, or SQL, with a solid understanding of applying statistical methods to analyze healthcare data
• Data Management: Experience with data collection, cleaning, and management practices, ensuring data integrity and usability
• Healthcare Knowledge: Basic understanding of healthcare systems, terminology, and data sources such as electronic health records (EHRs) and insurance claims
• Technical Proficiency: Competence in using database management