Senior Product Data Analyst

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 exports and internal sources into reusable data models • Document ROI for completed initiatives using adoption, transaction/revenue volume and customer satisfaction data • Present outcome data in client business reviews or renewal conversations alongside CS/Sales • Build and maintain dashboards and self-service reporting for P&L, feature usage and client adoption • Translate ambiguous business questions into data pulls, visualizations and defensible recommendations • Maintain data quality and metric documentation • Participate in discovery and prioritization conversations grounded in usage and outcome data

🎯 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 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 • Comfort working with EHR, PM System or patient-scheduling data • Familiarity with payer/provider dynamics, including 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 data warehouses • 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 analyses and communicate findings clearly to non-technical stakeholders • Ability to translate and present CRM data • HIPAA training, certification or hands-on experience handling sensitive patient data in a regulated environment (preferred) • Experience with Python, R, Go or Spark for large-scale data cleaning and analysis (preferred) • Exposure to product analytics concepts and empowered product-team operating models (preferred) • Exposure to Kafka, AWS Glue or similar streaming and batch data pipeline tooling and large-scale transactional datasets (preferred) • Familiarity with AI/ML-driven analytics, including evaluating model or rules-engine output, monitoring accuracy and drift, and translating AI performance into business metrics (preferred) • Experience supporting platform migrations while maintaining reporting continuity (preferred)

🏖️ Benefits

• No benefits or compensation extras explicitly stated in the posting