• Own the end-to-end process of extracting and compiling member lists from multiple internal data sources — eligibility systems, pharmacy data, client records, and more — for use across email, SMS, and print communications. • Define and enforce data quality standards across all member lists before they enter the delivery pipeline. • Handle Protected Health Information with the rigor and discipline it demands. • Work hand-in-hand with the Marketing Operations Manager to ensure lists are formatted, mapped, and structured exactly to the schema required by communication platforms. • Maintain clear documentation of data sources, transformation logic, field definitions, and business rules to support auditability and regulatory compliance. • Proactively identify, escalate, and root-cause data quality issues, partnering with the Member Comms Team Lead and internal data owners to drive resolution.

• Evaluate and improve the quality, coverage, and relevance of Lightcast’s enriched data, models, and taxonomies. • Analyze and classify large-scale labor market data. • Resolve data ambiguities and develop decision-making frameworks. • Ensure data quality standards.

• Build and maintain customer-facing dashboards and reports that surface utilization trends, workforce insights, and automation ROI across provider recruiting, credentialing, and directory management • Own the data analyst function across Axuall's customer-facing products, ensuring that reports, dashboards, and visualizations are accurate, insightful, and directly valuable to health system clients • Translate complex provider workforce data into clear, intuitive visualizations that health system stakeholders, from operations to the executive suite, can act on • Partner with the Sales team to produce data-driven proof of concept reports for prospective clients, demonstrating in their own data what Axuall's products can deliver • Develop reusable POC templates and frameworks that scale consistently across the sales cycle • Work closely with and assist Axuall's Data Scientist in building complex analytical models and deep insights on clinicians and providers that are delivered directly to health system customers • Analyze new data sources to understand how they connect to Axuall's provider data model and evaluate how they can be leveraged across our products • Document and communicate data relationships and integration opportunities to product and engineering teams • Assist the data science and engineering teams in maintaining robust data quality standards across the platform, identifying anomalies, gaps, and inconsistencies before they reach customers.

• Design and implement robust data models that transform fragmented marketing spend and application event logs into structured, "gold-standard" datasets. You will ensure our product and acquisition data is clean, organized, and optimized for cross-functional use. • Build and maintain scalable frameworks to monitor the loan application funnel identifying friction points, drop-off behaviors, and opportunities to improve conversion from lead to funded loan. • Elevate our analytics toolkit by writing high-performance BigQuery SQL and designing intuitive Tableau dashboards that empower stakeholders to track KPIs like CAC (Customer Acquisition Cost), Approval Rates, and Origination Volume in real-time. • Partner with Product and Marketing to design, execute, and analyze A/B tests, ensuring we make evidence-based decisions on everything from landing page optimization to credit offer presentation. • Act as the analytical backbone for the business, translating complex user behaviors into repeatable, automated insights that drive measurable growth and product-market fit.