Product Analytics Lead

Clearwave Corporation•Atlanta, GA

About The Position

The Product Analytics Lead is the analytical backbone for product initiatives involving Eligibility AI, Revenue Analysis and Client Outcomes, and supports the broader Product team's transition toward outcome-based measurement across Scheduling, Registration, Intake and Payments. The role combines strong SQL and business intelligence skills with a working understanding of patient workflows and their effects on revenue, staff time and patient satisfaction. The role supports Clearwave's Product Operating Model by turning exports, portal reports and Salesforce data into metrics, dashboards and analysis used to demonstrate value and inform evidence-based prioritization. It partners with product managers and teams across Product, Customer Success, Sales and leadership to define success measures, report outcomes, maintain reliable data and communicate findings to technical and non-technical audiences. The position works hands-on across Clearwave's data stack and product platform, including Snowflake, AWS Glue, Kafka, legacy SQL Server EDW, Tableau and Power BI.

Requirements

At least 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 to connect data findings to operational or financial impact and explain that connection in plain language to product, revenue cycle and clinical stakeholders.
Demonstrated ability to present findings to non-technical, client-facing or executive audiences.
Comfort working with EHR, PM System or patient-scheduling data, and familiarity with payer/provider dynamics such as eligibility, claims and denials.
At least 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 comfort working directly with relational databases or a data warehouse.
Experience building dashboards and reports in a BI or visualization tool, such as Power BI, Tableau or Looker, or using 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 clearly communicate findings to non-technical stakeholders.
Ability to translate and present CRM data.

Nice To Haves

Salesforce reporting experience.
Experience with big data tools and languages such as Python, R, Go or Spark for data cleaning and analysis at scale.
Exposure to product analytics concepts such as adoption funnels, cohort analysis and activation or retention metrics, and to empowered product-team operating models.
Exposure to streaming and batch data pipeline tooling such as Kafka or AWS Glue, or similar tools, and to large-scale transactional datasets.
Familiarity with AI/ML-driven analytics, including evaluating model or rules-engine output, monitoring accuracy and drift, and translating AI performance into business metrics.
Experience supporting a platform migration, such as SQL Server to Snowflake or Power BI to Tableau, while maintaining reporting continuity.

Responsibilities

Analyze insurance eligibility and coverage data across scheduling, pre-registration and visit stages, tracking active coverage rate, plan identification accuracy and eligibility flag clearance.
Monitor the accuracy and performance of AI-driven eligibility checks, including Code 42 non-response and flag resolution, and identify trends by payer, location and client.
Partner with the Eligibility AI product manager to define success metrics before development and report post-launch outcomes such as clean-claim impact, staff time saved and denial reduction.
Support revenue and opportunity modeling, including attach-rate assumptions, unit economics and renewal risk analysis.
Pull and validate Salesforce data for strategic renewals and new-logo run-rate, identifying data-mapping issues before leadership reporting.
Quantify and track initiative adoption and revenue contribution against goals set by product and revenue teams.
Build and maintain recurring client-facing and internal reporting on usage, adoption, satisfaction and business impact across product areas.
Consolidate Clearwave Provider Portal exports and other internal data into consistent, reusable models for recurring reporting.
Help Product Managers document ROI for completed initiatives using adoption, transaction and revenue volume, and customer satisfaction data.
Present outcome data occasionally in client business reviews or renewal conversations alongside Customer Success and Sales.
Build and maintain dashboards and self-service reporting for product P&L, feature usage and client adoption.
Translate business questions from Product, Customer Success and leadership into data pulls, visualizations and evidence-based recommendations grounded in patient, workflow or revenue impact.
Maintain data quality and documentation for team metrics and definitions.
Participate in discovery and prioritization conversations to ground decisions in usage and outcome data.