Client Summary:

• Innovative healthcare data and analytics platform company
• Focuses on providing out-of-the-box solutions for healthcare organizations
• Aims to accelerate data analytics processes
• Enhances reliability and affordability of data analytics in healthcare
• Establishes modern and robust analytics foundations

Position Responsibilities:

Requirements Translation & Analysis

• Partner with product leadership to refine business requirements gathered from client engagements
• Translate high-level product requirements and metrics from PRDs into detailed technical specifications
• Research and interpret requirements from regulatory bodies (CMS, AHRQ, etc.) to inform product builds
• Document technical requirements with precision for engineering teams

Data Assessment & Validation

• Conduct thorough analyses of client data environments to assess data quality, completeness, and usability
• Verify availability and accessibility of required data elements across client systems
• Identify data gaps, inconsistencies, or quality issues that may impact product implementation
• Provide recommendations for data remediation when needed

Technical Review & Quality Assurance

• Review and audit SQL logic developed by engineering teams to ensure alignment with product requirements
• Validate that technical implementations accurately reflect business requirements and expected outcomes
• Serve as the quality checkpoint between product specifications and technical delivery
• Collaborate with engineering to troubleshoot discrepancies and optimize solutions

Documentation & Communication

• Create clear documentation bridging business requirements and technical specifications
• Communicate technical findings and data insights to both technical and non-technical stakeholders
• Maintain requirements traceability throughout the implementation process

Experience & Skills:
Required Experience and Qualifications:

• 3+ years healthcare analytics experience
• Experience working in data warehouses, ETL processes, and database technologies (e.g., SQL, Snowflake, BigQuery)
• Strong SQL proficiency with demonstrated ability to write, read, and audit complex queries
• Proven experience analyzing healthcare data and working with healthcare data standards
• Familiarity with regulatory healthcare bodies and their reporting requirements/performance measures (CMS, AHRQ, etc.)
• Experience with clinical data mapping and healthcare terminology standards (ICD, CPT, SNOMED, LOINC, etc.)
• Ability to independently research and interpret technical and regulatory documentation
• Strong analytical skills with meticulous attention to detail
• Experience working in cross-functional environments with both product and engineering teams
• Excellent communication skills with ability to translate between business and technical languages
• Understanding of software development lifecycle and agile methodologies
• Curiosity about AI and enthusiasm for learning how to leverage AI tools in healthcare analytics (no prior AI experience required—we'll train you!)

Preferred Experience and Qualifications:

• Background in EPIC, Cerner, or Meditech preferred.

Compensation $100k-$150k, Health Insurance, 401k