Product Analytics Lead

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

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WAVE Corporation

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1987

☁️ SaaS

🏢 Enterprise

📣 Marketing

SaaS • Enterprise • Marketing

WAVE Corporation is a software company offering MediaBank, a digital asset management (DAM) platform that centralizes and secures images, videos, documents and text for creative production. MediaBank supports distribution across web, print, multimedia, email and packaging, includes plugins, workflow and publication features, and is built to serve large, geographically distributed enterprises. WAVE emphasizes configurable solutions, developer-led support, and improving creative team productivity and process management.

📋 Description

• 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

• 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

• 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

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