At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care.
With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.
The Senior Data Analyst will work closely with Data, Technology, and Operational teams to analyze complex healthcare datasets, develop analytical models, and generate actionable insights that inform internal products, client solutions, and strategic decisions. This role plays a key part in shaping how clinical and administrative data are ingested, curated, and leveraged across the organization. The Senior Data Analyst collaborates with engineering, product, and subject matter experts to develop scalable analytics, ensure data quality, and support data-driven decision-making. The ideal candidate combines strong analytical and statistical skills with a deep understanding of healthcare data, regulatory context, and business impact.
- Analyze and interpret large-scale healthcare datasets (e.g., claims, EHR, FHIR, registries) to identify trends, outliers, and key performance indicators that inform clinical, operational, and strategic initiatives.
- Lead complex analytical efforts to evaluate healthcare performance, utilization patterns, and program outcomes across diverse datasets.
- Collaborate with data engineers, product managers, and domain subject matter experts to define data requirements, metrics, and quality controls that support reliable analytics and reporting.
- Build and maintain curated datasets, data models, and dashboards for internal and external stakeholders using SQL, Python, or business intelligence tools.
- Design and execute advanced analyses for clinical, operational, and policy use cases, including cohort definitions, utilization patterns, quality measurement, and risk stratification.
- Develop and document business rules for data standardization, mapping, and transformation to support consistent and scalable analytics.
- Support data validation, testing, and quality assurance for