Product Analytics Lead

WAVE Corporation

. Analyze insurance eligibility and coverage data across scheduling, pre-registration and visit stages .

Posted 11/9/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analyzing healthcare eligibility and coverage data, with strong skills in SQL and data visualization tools like Power BI and Tableau. Capable of translating complex data findings into actionable insights for client-facing presentations and operational improvements.

Highest-signal resume keywords

SQL SkillsData Visualization in Power BIHealthcare Eligibility AnalysisSalesforce Reporting ExperiencePatient Engagement Workflow Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisDashboard BuildingRelational Database ManagementData Quality MaintenanceData MappingRevenue Cycle AnalysisROI DocumentationData Retrieval ConceptsBusiness Metrics TrackingOutcome Reporting

Soft Skills

Business AcumenClear CommunicationClient-Facing Presentation SkillsAnalytical ThinkingProblem-Solving

Tools & Technologies

Power BITableauSalesforceEHR SystemsPM SystemsLookerPythonRGoSpark

Industry Keywords

HealthcareHealth-TechPatient EngagementEligibility WorkflowsRevenue Cycle WorkflowsPayer/Provider DynamicsClaims ManagementDenials ManagementPatient SatisfactionProduct Analytics

Tech Stack

Tools & technologies

AWSKafkaPythonSparkSQLTableauGo

About the role

Key responsibilities & impact

Analyze insurance eligibility and coverage data across scheduling, pre-registration and visit stages
Track active coverage rate, plan identification accuracy and eligibility flag clearance
Monitor AI-driven eligibility-check accuracy and performance and surface trends by payer, location and client
Define and track success metrics with the Eligibility AI product manager and report post-launch outcomes
Support revenue and opportunity modeling, including attach-rate assumptions, unit economics and renewal risk analysis
Pull and validate Salesforce data for opportunity models and identify data-mapping issues
Quantify and track initiative adoption and revenue contribution against product and revenue goals
Build and maintain recurring client-facing and internal outcome reporting across product areas
Consolidate Provider Portal and internal exports into consistent, reusable data models
Document ROI for completed initiatives using adoption, transaction/revenue volume and satisfaction data
Present outcome data in client business reviews or renewal conversations alongside CS/Sales
Build dashboards and self-serve reporting for P&L, feature usage and client adoption
Translate ambiguous business questions into data pulls, visualizations and defensible recommendations
Maintain data quality and documentation for metrics and definitions
Participate in discovery and prioritization using usage and outcome data
Establish regular metrics for Eligibility AI, Revenue Analysis and Client Outcomes
Enable Product Managers to access adoption, usage and revenue-impact data
Build before/after outcome stories covering ROI, time saved and adoption growth

Requirements

What you’ll need

3+ years of experience in healthcare, health-tech or another patient-facing industry, with hands-on exposure to patient engagement, eligibility, scheduling, registration or revenue cycle workflows
Practical understanding of the patient scheduling, eligibility, intake and payment journey and its effects on collections, denials and patient satisfaction
Business acumen connecting data findings to operational or financial impact and explaining them in plain language
Ability to present findings to non-technical, client-facing or executive audiences
Experience with EHR, PM System or patient-scheduling data
Familiarity with payer/provider dynamics such as eligibility, claims and denials
5+ years of experience in a data analyst, business analyst or product analyst role, ideally supporting a product or SaaS organization
Strong SQL skills and experience with relational databases or a data warehouse
Experience building dashboards and reports in Power BI, Tableau, Looker or spreadsheet-based tooling at scale
Working knowledge of data structures, indexing, querying and data retrieval concepts
Ability to turn loosely defined business questions into structured analysis and communicate findings clearly
Ability to translate and present CRM data; Salesforce reporting experience preferred
Preferred: experience with Python, R, Go or Spark
Preferred: exposure to product analytics concepts such as adoption funnels, cohort analysis and activation/retention metrics
Preferred: exposure to Kafka, AWS Glue or similar data pipeline tooling and large-scale transactional datasets
Preferred: familiarity with AI/ML-driven analytics, model or rules-engine output, accuracy and drift monitoring
Preferred: experience supporting platform migrations while maintaining reporting continuity

Benefits

Comp & perks

Client-focused onboarding and ongoing client success support
Opportunity to work with a modern data stack and product platform
Remote work in the United States