Data Analyst

Description:

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 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

• Bachelor’s 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' headquarters are in Virginia Beach, VA, however we are open to remote candidates in the following states: AZ, AR, DE, FL, GA, IL, IN, KS, KY, MA, MD, MI, MS, MO, MT, NC, NE, NV, NY, OH, OK, PA, SC, TN, TX, VA, DC, WI, and WV*

Work Environment/Physical Demands

The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is an office/remote position. While performing the duties of this job, the employee regularly works in a climate-controlled environment. Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. Occasionally required to stand, walk, use hands and fingers, kneel or crouch.

Commence is an equal employment opportunity for 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.

Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or [email protected].

Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.