Note: The job is a remote job and is open to candidates in USA. Atlas Oncology Partners provides oncology practices with staff, contracts, and tools to deliver whole-person, value-based care. The Senior Data Analyst, Clinical Operations will partner with clinical operations leadership to integrate and quality-check data from multiple platforms, build and maintain operational dashboards, automate reporting workflows, and generate actionable insights into care-team productivity and performance.
Responsibilities
- Pull, combine, and reconcile data from multiple platforms into unified analyses
- Scope includes data supporting engagement, clinical programs, clinical documentation, and care team access/productivity
- QC data across sources to identify inconsistencies, gaps, or errors, and resolve or escalate data integrity issues as needed
- Maintain documentation of data sources, definitions, and report logic to ensure consistency across analyses
- Build and maintain datasets to analyze care team productivity, call volumes/handling, and EHR-based workflow data across practice-partner sites
- Design, build, and maintain recurring dashboards and reports that track key operational metrics over time
- Identify drivers of performance variation across teams, sites, and roles
- Generate clear, actionable insights from complex, multi-source datasets and present them to both technical and non-technical audiences, including clinic-level operators and senior leadership
- Gather requirements from clinical operations leadership and translate them into specific, actionable analyses
- To address all of the above responsibilities efficiently, individual should leverage modern tools and techniques (e.g., Excel Power Query, SQL, Claude)
- Identify opportunities to streamline and automate recurring analyses and scale reporting capacity across the organization
Skills
- · Bachelor's degree in a quantitative field (Statistics, Health Informatics, Business Analytics, Economics, or related) or equivalent practical experience
- · 5+ years of experience in healthcare data analysis, with strong SQL proficiency and advanced Excel skills (complex formulas, pivot tables, data modeling)
- · Experience working with EHR-sourced operational data and call center/IVR data in a healthcare or practice-operations setting
- · Demonstrated ability to combine and QC data from multiple systems and build reliable, maintainable dashboards
- · Ability to understand organizational goals and priorities and translate them into meaningful, trackable metrics
- · Experience automating data and reporting processes using tools such as Power Query, SQL, and generative AI
- · Familiarity with AI tools such as Claude or Copilot to support day-to-day analytical work
- · Strong communication skills and comfort translating complex data into clear recommendations for non-technical stakeholders
- · Familiarity with oncology or specialty care practice operations
- · Experience with data visualization tools (Tableau, Power BI)
- · Experience in a high growth startup
- · Experience in outpatient value-based care primary care
Benefits
- 10-15% bonus
- Health, Dental, Vision insurance
- Paid vacation, holidays, and sick leave
Company Overview