Sr. Data Analyst

Commence; Virginia Beach (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

Commence is seeking a Senior Data Analyst to join our team in Virginia Beach. The role collaborates with Data, Technology and Operations to analyze healthcare datasets, build analytical models and deliver insights for internal products and client solutions.

The ideal candidate has extensive experience with healthcare data (EHR, claims, registries), strong SQL and Python/R, and a proven ability to translate complex analyses into clear narratives and dashboards using BI tools.

Qualifications

• Bachelor's degree in Health Informatics, Public Health, Statistics, CS, Data Science or related field; Master's preferred.
• 7+ years of experience with healthcare data (EHR, claims, registries).
• Strong SQL and at least one programming language (Python/R).
• Experience building dashboards/reports with Tableau, Power BI or QuickSight.

Responsibilities

• Analyze large-scale healthcare datasets (claims, EHR, registries) to identify trends and KPIs.
• Lead complex analyses to evaluate performance and outcomes across datasets.
• Define data requirements, metrics, and quality controls with cross-functional teams.
• Build and maintain curated datasets, data models, and dashboards for stakeholders.

Skills

SQL

Python/R

BI dashboards

Healthcare analytics

Data storytelling

Education

Bachelor's in Health Informatics/Related field

Master's preferred

Tools

Databricks

Snowflake

Tableau

Power BI

Qlik/QuickSight

Job description

Full-time

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.?

Requirements

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

• Bachelor's degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science, or a related field; Master's 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-t