Data analyst

Requirements

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The Data Analyst will work closely with the Data/ Technology and Operational teams to analyze complex healthcare datasets, develop data models, and generate actionable insights that inform internal products, client solutions, and strategic decisions. The analyst will be instrumental in shaping how we ingest, curate, and leverage clinical and administrative data, and will collaborate with engineering, product, and subject matter experts across the organization. The ideal candidate combines strong analytical 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
• Collaborate with data engineers, product managers, and domain SMEs to define data requirements, metrics, and quality controls
• Build and maintain curated datasets and dashboards for internal and external stakeholders using SQL, Python, or BI tools
• Support design and execution of analyses for clinical, operational, or policy use cases, including cohort definitions, utilization patterns, and risk stratification
• Develop and document business rules for data standardization, mapping, and transformation
• Assist in data validation and QA efforts for data pipelines and analytics-ready datasets
• Ensure data privacy and compliance with HIPAA, 42 CFR Part 2, and organizational security protocols
• Translate analytic findings into clear, compelling narratives and data visualizations for decision-makers
• Monitor key data health metrics and assist with anomaly detection and root cause analysis
• Support data strategy and architecture decisions through domain-aligned analysis and metric modeling

Qualifications

• Bachelors degree in health informatics, Public Health, Statistics, Computer Science, or a related field
• 3+ years of experience working with healthcare data, including EHR, claims, or public health data
• Strong proficiency in SQL and at least one analytics-oriented language (e.g., Python, R)
• Experience with data analysis and visualization tools such as Excel, Tableau, Power BI, or Quicksight
• Familiarity with healthcare data standards (e.g., FHIR, HL7, ICD, CPT, LOINC) and common quality or performance measures
• Ability to synthesize complex data and present findings to technical and non-technical audiences
• Detail-oriented with strong data hygiene, validation, and documentation habits
• 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 passion for continuous learning.
• Experience working in a healthcare or regulated environment
• Experience with Agile development methodologies.

Preferred Qualifications

• Familiarity with Databricks, Snowflake, or other modern data platforms
• Understanding of data governance and security frameworks relevant to healthcare (e.g., NIST, HITRUST)
• Prior experience working with government agencies (e.g., CMS, VA, DoD) or payer/provider organizations
• Knowledge of healthcare delivery systems and policy frameworks
• Experience designing or supporting dashboards or reports for operational, clinical, or executive audiences
• Master's degree or certifications in Data Analytics or related field.

Commence is an equal employment opportunity employer. All personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law. If you need assistance or an accommodation due to a disability, you may contact us at 757-306-4920or [email protected]

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Salary Description

$95,000-$140,000