[Hiring] Senior Data Analyst @Atlas Oncology Partners

Role Description

Atlas has invested in a robust operations data infrastructure, and we're looking for someone who can build on that foundation to accelerate automation and speed-to-insight across our analytics workflows. The Senior Data Analyst, Clinical Operations will be a strategic analytics partner to clinical operations leadership, bringing together data from multiple platforms — including call center data, outcomes reporting, and our integrated Snowflake data warehouse that houses EMR data— to understand productivity and performance drivers across care teams. This role owns the full lifecycle of operational reporting:

• Pulling and reconciling data across sources
• Reviewing it for accuracy and consistency
• Building and maintaining dashboards
• Generating insights that practice administrators and leadership can act on

Qualifications

• 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

Requirements

• 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
• Leverage modern tools and techniques (e.g., Excel Power Query, SQL, Claude) to address responsibilities efficiently
• Identify opportunities to streamline and automate recurring analyses and scale reporting capacity across the organization

Benefits

• Health, Dental, Vision insurance
• Competitive pay
• Paid vacation, holidays, and sick leave