Note: The job is a remote job and is open to candidates in USA. Clarest Health is a technology-enabled healthcare company focused on improving medication management and delivery through pharmacy services, technology, and clinical solutions. The Senior Analyst, Health Data Analytics & Insights will build analytics capabilities for Value-Based Care and PATH programs by analyzing complex healthcare data, developing metrics and reporting, and translating findings into actionable recommendations for leaders and stakeholders.
Responsibilities
- Develop a deep understanding of Clarest's data structures, schemas, processes, and programs supporting Value-Based Care and PATH
- Learn how data flows from source systems through pipelines and transformations into analytical outputs
- Work with raw or prepared data to understand what is available, identify gaps, and determine how it can be used to answer business questions
- Become a trusted resource for stakeholders who need to understand, interpret, or apply our data
- Partner with Engineering and Data teams to understand data pipelines, resolve data quality issues, and ensure data is reliable and available for analytics
- Write complex SQL to join, transform, aggregate, and analyze healthcare datasets
- Translate complex business requirements and logic into analytical datasets, metrics, reports, and insights
- Analyze claims, enrollment, eligibility, and other healthcare data to support Value-Based Care and business initiatives
- Develop and validate metrics and analytical outputs to ensure accuracy and consistency
- Build internal reporting, dashboards, and analytical products that help leaders understand performance and make informed decisions
- Apply critical thinking to identify trends, questions, gaps, and opportunities that may not be obvious from the initial request
- Partner with engineers as needed to develop and improve analytical solutions
- Build strong relationships across Product, Clinical, Operations, Engineering, and other areas of the business
- Ask thoughtful questions to understand business processes, requirements, and the "why" behind a request
- Translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences
- Present findings, insights, and recommendations to senior leaders and executive stakeholders
- Bring forward options and recommendations rather than simply delivering exactly what was requested
- Help stakeholders understand not only what the data says, but what it means and what we should do about it
- Take ownership of reporting and analytics initiatives from initial discovery through delivery
- Support the execution of the analytics roadmap in partnership with Product, Clinical, and Operations
- Lead the design, development, validation, and continuous improvement of analytical products
- Contribute to data governance, metric definitions, documentation, and analytics standards
- Ensure analytical outputs are accurate, reliable, timely, and scalable
- Take on increasingly complex areas of responsibility as your knowledge of Clarest's data and business grows
Skills
- Bachelor's degree in Data Science, Statistics, Computer Science, Biostatistics, Health Informatics, or a related quantitative field
- 3–5+ years of experience in data analytics, healthcare analytics, or a related field
- Strong hands-on SQL experience, including complex joins, CTEs, multi-step transformations, aggregations, and business logic
- Experience working directly with complex datasets and translating business requirements into analytical outputs
- Experience with healthcare claims data, enrollment/eligibility data, or similar healthcare datasets
- Understanding of healthcare data and how claims, provider, hospital, pharmacy, or other healthcare information is structured and used
- Experience with BI/visualization tools such as Tableau, Power BI, Looker, or similar
- Experience with data pipelines and ETL/ELT processes
- Strong understanding of healthcare data standards such as HL7, NCPDP, claims data, or similar
- Strong written and verbal communication skills with the ability to present complex information clearly to senior stakeholders
- Love to dig deeper: You don't stop at the first answer. You investigate the data, ask why, and look for what may be missing
- Think critically: You don't simply take a request at face value. You evaluate the problem, identify options, challenge assumptions, and make recommendations
- Are genuinely hands-on: You're comfortable writing the SQL yourself and working directly with the underlying data—not just interpreting someone else's analysis
- Learn quickly: You're excited by complex environments and can absorb new data structures, processes, and business concepts quickly
- Take ownership: You don't need someone to tell you every step. You can take an ambiguous problem and move it forward
- Know how to connect data to the business: You understand that a technically correct answer isn't enough—you need to understand what the result means and why it matters
- Communicate with confidence: You're comfortable explaining your analysis and recommendations to everyone from technical partners to senior leaders and C-suite executives
- Build relationships: You know that understanding data often means talking to the people who use and create the processes behind it
- Embrace complexity: You enjoy solving problems where the answer isn't immediately obvious and the data doesn't always come perfectly packaged
- Want to make an impact: You want your analytics to influence decisions—not simply sit in a dashboard
- Value-Based Care, population health, payer, PBM, or healthcare cost/utilization analytics experience strongly preferred
- Experience with modern data stack tools such as Snowflake, dbt, Airflow, or similar, preferred
- Working knowledge of Python preferred; you don't need to be a Python expert, but you should be comfortable reading and understanding code
Benefits
- Comprehensive Medical, Dental, and Vision Insurance
- Paid Time Off
- Free Virtual Care / Telemedicine
- 401(k) with company match
- Referral Bonuses
- Life Insurance
Company Overview