Product Analytics Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate insurance eligibility and coverage information throughout the scheduling, pre-registration, and visit phases.

• Monitor active coverage rates, accuracy of plan identification, and clearance of eligibility flags.

• Assess the accuracy and performance of AI-driven eligibility checks, highlighting trends by payer, location, and client.

• Collaborate with the Eligibility AI product manager to define and track success metrics, reporting on post-launch results.

• Assist in modeling revenue and opportunities, including assumptions related to attach rates, unit economics, and renewal risks.

• Extract and validate Salesforce data for opportunity models, identifying any data mapping discrepancies.

• Measure and track the adoption of initiatives and their revenue contributions in relation to product and revenue objectives.

• Develop and sustain regular client-facing and internal outcome reports across product domains.

• Integrate Provider Portal and internal exports into standardized, reusable data models.

• Document the ROI of completed initiatives using metrics on adoption, transaction/revenue volume, and satisfaction levels.

• Present outcome data during client business reviews or renewal discussions alongside Customer Success/Sales teams.

• Create dashboards and self-service reports for P&L, feature utilization, and client engagement.

• Convert vague business inquiries into data extracts, visualizations, and defensible recommendations.

• Ensure the quality and documentation of metrics and definitions are maintained.

• Engage in discovery and prioritization processes using usage and outcome data.

• Set up regular metrics for Eligibility AI, Revenue Analysis, and Client Outcomes.

• Facilitate access for Product Managers to adoption, usage, and revenue-impact data.

• Develop before-and-after outcome narratives addressing ROI, time savings, and growth in adoption.

⛳️ Requirements

• A minimum of 3 years of experience in healthcare, health-tech, or another patient-facing industry, with practical experience in patient engagement, eligibility, scheduling, registration, or revenue cycle workflows.

• Solid understanding of the patient journey regarding scheduling, eligibility, intake, and payment, and how these factors influence collections, denials, and patient satisfaction.

• Strong business acumen that connects data insights to operational or financial impacts, with the ability to articulate them clearly.

• Proven ability to present insights to non-technical, client-facing, or executive audiences.

• Familiarity with EHR, PM systems, or patient-scheduling data.

• Understanding of payer/provider dynamics including eligibility, claims, and denials.

• Over 5 years of experience in roles such as data analyst, business analyst, or product analyst, preferably within a product or SaaS organization.

• Proficient SQL skills and experience with relational databases or data warehouses.

• Experience in building dashboards and reports using Power BI, Tableau, Looker, or spreadsheet tools on a large scale.

• Working knowledge of data structures, indexing, querying, and data retrieval concepts.

• Ability to convert loosely defined business questions into structured analysis and communicate findings effectively.

• Skill in translating and presenting CRM data, with a preference for Salesforce reporting experience.

• 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: familiarity with Kafka, AWS Glue, or similar data pipeline tools and large-scale transactional datasets.

• Preferred: understanding of AI/ML-driven analytics, model or rules-engine output, accuracy, and drift monitoring.

• Preferred: experience in supporting platform migrations while ensuring reporting continuity.

🏝️ Benefits

• Client-centered onboarding and continuous client success support.

• Opportunity to engage with a modern data stack and product platform.

• Remote work opportunity within the United States.