Data Analyst II - WFH
About the Company
Commence focuses on data-driven healthcare transformation, combining technology, clinical expertise, and quality data solutions to improve health outcomes and make healthcare processes more efficient. The company develops human-centered, value-based solutions that help healthcare organizations use data to support better care, stronger performance, and informed decision-making.
About the Role
Commence is seeking a Senior Data Analyst to work across Data, Technology, and Operations teams to analyze complex healthcare datasets, develop analytical models, and generate actionable insights. This role supports internal products, client solutions, and strategic decisions by improving how clinical and administrative data are collected, organized, analyzed, and applied across the organization. The successful candidate will collaborate with data engineers, product managers, and subject matter experts to develop scalable analytics, maintain data quality, and translate complex findings into clear reports and visualizations. This is a remote position open to candidates residing in specific U.S. states.
Key Responsibilities
Analyze large-scale healthcare datasets, including claims, electronic health records (EHR), FHIR data, and registries, to identify trends, outliers, and key performance indicators. Lead complex analyses of healthcare performance, utilization patterns, and program outcomes across diverse datasets. Collaborate with data engineers, product managers, and subject matter experts to define data requirements, metrics, and quality controls. Build and maintain curated datasets, data models, dashboards, and reporting solutions using SQL, Python, and business intelligence tools. Design and conduct advanced analyses for clinical, operational, and policy-related 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 analytics. Validate data, test analytical outputs, and support quality assurance for data pipelines and analytics-ready datasets. Identify data anomalies, investigate potential causes, and contribute to root cause analysis. Present analytical findings through clear narratives and visualizations using Qlik and AWS QuickSight. Monitor data health and performance metrics and support ongoing data quality improvements. Contribute to data strategy and architecture decisions through domain-informed analysis and metric modeling. Mentor junior analysts and cross-functional team members on data analysis, documentation, and quality practices.
Required Qualifications
Bachelor's degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science, or a related field. At least seven 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 developing analytical datasets, dashboards, or reporting frameworks using tools such as Excel, Tableau, Power BI, or QuickSight. Experience with Databricks, Snowflake, or other modern cloud-based or notebook-based data platforms. Familiarity with healthcare data standards, including FHIR, HL7, ICD, CPT, and LOINC. Experience working with healthcare quality or performance measures. Ability to interpret complex data and communicate findings effectively to technical and non-technical audiences. Strong data validation, governance, and documentation practices. Excellent communication, collaboration, and problem-solving skills. Strong attention to detail and a commitment to continuous learning and improvement. Experience working in healthcare or another regulated environment. Experience with Agile development and cross-functional product or engineering teams. Additional Qualifications Understanding of healthcare data governance and security frameworks, such as NIST or HITRUST. Experience working with government agencies such as CMS, VA, or DoD, or with healthcare payer or provider organizations. Knowledge of healthcare delivery systems, policy frameworks, and value-based care programs. Experience designing or supporting dashboards and reports for operational, clinical, or executive audiences. A master's degree or professional certifications in Data Analytics, Health Informatics, or a related field is preferred. Salary and Employment Details Salary Range: $130,000–$160,000 per year. Employment Type: Full-time. Work Arrangement: Remote. Remote Work Eligibility Commence is headquartered in Virginia Beach, Virginia, and accepts remote candidates residing in the following states and district: Arizona, Arkansas, Colorado, Delaware, Florida, Georgia, Illinois, Indiana, Kansas, Kentucky, Massachusetts, Maryland, Michigan, Mississippi, Missouri, Montana, North Carolina, Nebraska, Nevada, New York, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Washington, D.C., Wisconsin, and West Virginia. Work Environment and Physical Requirements This is a remote position in a climate-controlled work environment. The role regularly involves sitting, reading, working on a computer, and viewing a computer screen for extended periods. Occasional physical activities may include standing, walking, using hands and fingers, kneeling, or crouching. Reasonable accommodations may be provided to enable qualified individuals with disabilities to perform the essential functions of the role. Equal Employment Opportunity and Reasonable Accommodation Commence is an equal opportunity employer. Employment decisions and personnel processes are merit-based and conducted without discrimination based on race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military or veteran status, or any other characteristic protected by applicable law. Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. Applicants who require reasonable accommodation during the application process may contact Human Resources at (757) 306-4920 or [email protected]. Unless requesting an accommodation, applicants must submit their applications through the online application system.