Sr. Data Analyst

At Commence were 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 data pipelines and analytics-ready datasets identifying anomalies and supporting root cause analysis.
• Translate analytic findings into clear compelling narratives and data visualizations in Qlik/ AWS Quicksight that support decision-making by technical and non-technical stakeholders.
• Monitor key data health and performance metrics and support anomaly detection and ongoing data quality improvements.
• Support data strategy and architecture decisions through domain-informed analysis metric modeling and collaboration with engineering and product teams.
• Mentor junior analysts or cross-functional team members on best practices in data analysis documentation and data quality.

Qualifications

• Bachelors degree in Health Informatics Public Health Statistics Computer Science Data Science or a related field; Masters degree preferred.
• 7 years of experience working with healthcare data including EHR claims registries or public health datasets.
• Strong proficiency in SQL and at least one analytics-oriented programming language such as Python or R.
• Experience building analytical datasets dashboards or reporting frameworks using tools such as Excel Tableau Power BI or QuickSight.
• Experience with Databricks Snowflake or other modern cloud/notebook-based data platforms.
• Familiarity with healthcare data standards such as FHIR HL7 ICD CPT and LOINC and experience working with healthcare quality or performance measures.
• Demonstrated ability to synthesize complex data and present findings to both technical and non-technical audiences.
• Strong data validation data governance and documentation practices.
• Excellent communication and collaboration skills with the ability to work effectively with both technical and non-technical teams.
• Strong problem-solving skills attention to detail and a commitment to continuous learning and improvement.
• Experience working in a healthcare or regulated environment.
• Experience working in Agile development environments and collaborating within cross-functional product or engineering teams.

Additional Requirements

• Understanding of data governance and security frameworks relevant to healthcare such as NIST or HITRUST.
• Prior experience working with government agencies such as CMS VA or DoD or with payer or provider organizations.
• Knowledge of healthcare delivery systems policy frameworks and value-based care programs.
• Experience designing or supporting dashboards or reports for operational clinical or executive audiences.
• Masters degree or professional certifications in Data Analytics Health Informatics or a related field.

is committed to providing equal employment opportunities to all applicants including individuals with disabilities. If you require a reasonable accommodation to participate in the application process due to a disability please contact Human Resources at or Please note that unless you are requesting an accommodation all applications must be submitted through our online application system.