Product Analyst
Direct Recruiters Inc., Madison, WI, United States
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
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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
#J-18808-Ljbffr