Data Analyst, Data & Quality Improvement
About The Position
The Data Analyst at the Camden Coalition plays a key role in advancing the organization’s mission to improve healthcare delivery through data-driven insights. This role combines technical and analytic expertise to support a wide range of projects, including regional Medicaid initiatives and internal program evaluation. The Data Analyst will work extensively with the organization’s Redshift-based data warehouse to transform and analyze complex healthcare datasets, including claims and health information exchange (HIE) data. They will partner with both technical and non-technical stakeholders to develop metrics, generate insights, and deliver actionable analysis through reports, dashboards, and data products. Projects in this role involve working with complex, longitudinal healthcare data to answer applied questions that inform program design, policy, and care delivery. This includes constructing cohorts (e.g., delivery-based populations), analyzing patterns of healthcare utilization over time (such as outpatient, ED, and inpatient use), evaluating Medicaid populations to understand coverage continuity and engagement, and supporting program evaluations through outcome definition and comparison group design. The work often requires integrating data from multiple sources, developing logic to link events across time, and creating analytically useful datasets from imperfect data. Success in this role requires comfort with ambiguity and the ability to translate findings into clear, actionable insights for diverse stakeholders. The role also encourages thoughtful and responsible use of AI tools (e.g., for research, code development, and workflow support) to enhance productivity while maintaining strong standards for data privacy, accuracy, and reproducibility. This role is ideal for someone who enjoys working with complex data systems, developing a deep understanding of underlying data models, and translating data into meaningful insights that inform decision-making and improve outcomes.
Requirements
- Strong proficiency in SQL and experience working with relational databases
- Experience using R or Python for data analysis, including data manipulation and basic statistical analysis
- Experience with data visualization tools (Tableau preferred)
- Ability to work with large, complex, and imperfect datasets and translate them into usable analytic outputs
- Strong analytical thinking and problem-solving skills, with attention to detail
- Ability to clearly communicate technical concepts and findings to non-technical audiences
- 1-3 years of Data Analysis experience, preferably in a healthcare environment
- Bachelor’s degree in a quantitative or related field (e.g., data science, statistics, public health, economics, computer science)
Nice To Haves
- Experience or familiarity with healthcare data (e.g., claims, EHR, or HIE data) is a plus
- Prior experience manipulating, processing, and extracting value from large and messy datasets a plus
- advanced degree a plus
Responsibilities
- Partner with clinical, program, and operational teams to define analytic questions, develop metrics, and deliver actionable insights
- Write complex SQL queries to extract, join, and restructure data from large relational datasets in a Redshift environment
- Build a strong understanding of the organization’s data model, including claims, clinical, and program data sources
- Conduct analyses using R and/or Python to support program evaluation, population health analytics, and quality improvement efforts
- Develop dashboards, visualizations, and reporting tools (e.g., Tableau) to communicate findings to diverse audiences
- Ensure data quality and validity through thoughtful QA, validation checks, and documentation
- Contribute to the design and development of scalable analytic datasets and reusable data assets
- Create and maintain clear documentation of data definitions, logic, and analytic processes
- Support a culture of continuous learning, collaboration, and improvement across the data and program teams
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
11-50 employees
