Role Description You will be part of the analytical engine behind Counterpart Health’s value-based care performance insights. This role sits at the intersection of risk adjustment, quality measurement, utilization management, and cost analytics, and you will be expected to own the metrics that matter most to our payer and provider partners. Beyond the numbers, you are a storyteller: you turn dense claims and clinical data into clear, compelling narratives that help customers understand performance, identify opportunities, and take action. You will work closely with Customer Success, Clinical, and Product teams to ensure our analytics are accurate, trusted, and decision-ready. - Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates. - Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format. - Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level. - Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps. - Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement. - Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer. - Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations. - Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster. Qualifications - 4+ years of hands-on healthcare data analytics experience, with direct exposure to payer or provider customers in a value-based care context. - Deep familiarity with VBC metrics: risk adjustment (HCC coding, RAF scores), utilization (IP admissions, ED visits, readmissions), and cost (PMPM, total cost of care, benchmark vs. actual). - Strong SQL skills, able to write complex queries across claims, eligibility, and clinical datasets in cloud-based warehouses (BigQuery, Snowflake, or similar). - Exceptional data storytelling ability: you can translate analytical findings into clear narratives and visuals that resonate with both clinical and non-technical audiences. - Experience building customer-facing reports and dashboards; comfortable presenting findings to external stakeholders (health plans, provider groups, ACOs). Requirements - Medicare Advantage experience, including familiarity with CMS risk adjustment models (CMS-HCC v24/v28), Star Ratings methodology, and MA quality bonus payment structures. - Familiarity with clinical terminologies: ICD-10, CPT/HCPCS, NDC, SNOMED, LOINC. - Experience using Python or R for data manipulation, cohort analysis, or statistical modeling. - Background working with EHR or clinical data alongside claims (e.g., for care gap closure, chronic condition identification, or attribution logic). - Prior experience in a health plan, risk-bearing provider group, ACO, or health tech company supporting VBC programs. Benefits - Financial Well-Being: Competitive base salary and equity opportunities, performance-based bonus program, 401k matching, and regular compensation reviews. - Physical Well-Being: Comprehensive medical, dental, and vision coverage. - Mental Well-Being: Initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. - Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews. - Additional Perks: Employee Stock Purchase Plan (ESPP), reimbursement for office setup expenses, monthly cell phone & internet stipend, remote-first culture, paid parental leave for all new parents, and much more!

Role Description You will serve as the Subject Matter Expert (SME) for clinical data completeness and effectiveness at Counterpart Health. Sitting within the Data Products pillar, this role owns the end-to-end understanding of our clinical data lifecycle: - Where data comes from - Where it breaks down - How each vendor or integration pathway performs across our customer markets Your analysis will directly shape vendor strategy, facility targeting, and data pipeline investments, ensuring that the clinical evidence our care teams depend on is consistently available and trustworthy. As a Data Analyst, you will: - Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps. - Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency, or incongruence in clinical records. - Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system). - Recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX) based on rigorous analysis of data flow and quality. - Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit. - Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters. - Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility. - Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange. - Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility. - Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets. Qualifications - 2+ years of hands-on data analytics experience, with direct exposure to healthcare data interoperability. - Strong hands-on experience with healthcare data standards: HL7, CCDA, and ADT messages. - Proficiency in SQL and comfort working with large, complex datasets (claims, clinical logs, interoperability data). - Background in analyzing interoperability networks (e.g., Carequality, CommonWell, eHealthExchange) or HIE integrations. - Skilled at data visualization and able to present complex findings to both technical and non-technical stakeholders. - Strong investigative mindset, i.e., you enjoy digging into the “why” behind missing data and diverging metrics. - Self-directed and able to manage multiple analytical projects (vendor comparisons, visit-level reconciliation) without constant supervision. Requirements - Experience with TEFCA/QHIN frameworks and evolving national interoperability standards. - Familiarity with vendor-specific data exchange platforms (e.g., Bamboo Health, HSX, Particle Health, Kno2). - Background in value-based care, population health, or clinical data operations. - Experience with claims-clinical data reconciliation (e.g., matching EOBs to clinical encounter records). - Comfort working with Python or similar tools for data manipulation and automation. Benefits - Financial Well-Being: Competitive base salary and equity opportunities, performance-based bonus program, 401k matching, and regular compensation reviews. - Physical Well-Being: Comprehensive medical, dental, and vision coverage. - Mental Well-Being: Initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. - Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews. - Additional Perks: Employee Stock Purchase Plan (ESPP), reimbursement for office setup expenses, monthly cell phone & internet stipend, remote-first culture, paid parental leave for all new parents.

• Recogida de requerimientos con negocio y traducción a soluciones analíticas. • Diseño y definición del modelo físico de datos. • Desarrollo y mantenimiento de la capa semántica en MicroStrategy. • Creación de informes, dashboards y Dossiers interactivos. • Desarrollo y soporte en soluciones de autoservicio guiado (self-service BI). • Administración operativa de la plataforma MicroStrategy (últimas versiones). • Formación y acompañamiento a usuarios finales para impulsar la adopción de la herramienta.

Role Description Protera Health is seeking an experienced Data Analyst to lead and support data operations, reporting, analytics, and customer data management across the organization. This highly visible, cross-functional role will closely collaborate with leadership, operations, product, engineering, and customers. The ideal candidate is passionate about solving complex problems, working with healthcare data, developing reporting infrastructure, and empowering organizations to make better decisions through data. This is a unique opportunity for someone who wants broad ownership in building the data foundation of a rapidly growing healthcare company. Key Responsibilities - Manage customer data implementations and ongoing data operations - Process, validate, and reconcile eligibility, claims, enrollment, and member roster files - Develop and maintain dashboards, reports, and operational metrics - Create engaging, customer-facing reporting and analytics - Analyze healthcare claims, utilization, engagement, and outcomes data - Support data movement across Salesforce, Healthie, reporting systems, and customer platforms - Identify opportunities for automation and process improvement - Participate in customer meetings related to data, reporting, and implementations - Partner with operations, product, and engineering teams to solve business problems using data - Document workflows, reporting logic, and data processes Qualifications - 3+ years of experience in data analytics, healthcare analytics, business intelligence, or related fields - Experience with healthcare claims data - Strong SQL skills - Proficiency with dashboarding and reporting tools - Analytical problem-solving abilities and keen attention to detail - Excellent communication and organizational skills - Ability to work independently in a fast-paced environment - Skill in explaining technical concepts to non-technical audiences Preferred Qualifications - Experience with Salesforce data and reporting - Experience with healthcare eligibility and enrollment data - Background in healthcare, digital health, health plans, or value-based care - Experience with data warehousing and ETL processes - Startup experience - Familiarity with predictive analytics or statistical modeling Benefits - Fully remote (United States) - Competitive compensation based on experience - Bonus opportunity - Equity opportunity - Healthcare benefits - PTO - 401(k)