• Supports data management, reporting, and performance monitoring activities for statewide rural health transformation initiatives. • Assists in development and maintenance of dashboards, reports, and structured data products used to track program implementation and provider performance. • Performs data extraction, cleaning, validation, and analysis to support recurring reporting requirements and ad hoc requests. • Maintains structured datasets and tracking systems aligned with program reporting and compliance needs. • Develops standard reports and visualizations to support performance monitoring across provider initiatives. • Assists in identifying trends, inconsistencies, and data quality issues. • Coordinates with data, technical assistance, and program teams to support data-driven decision-making. • Contributes to preparation of reports, presentations, and documentation for state and federal stakeholders. • Maintains organized, audit-ready documentation of data sources, methodologies, and reporting outputs. • Supports continuous improvement of data processes and workflows. • Up to 25% travel may be required.

• Work in the discovery phase of requests with requesters and business stakeholders. • Understand the objective of the request and which analytical products will be built later, such as dashboards, automations, reports, indicators/metrics, or analytical models. • Map indicators, metrics, business rules, and data requirements. • Create and document functional requirements related to data ingestion. • Support the refinement of requests with the teams involved. • Work in partnership with functional ingestion analysts, analytics engineering, and other stakeholders. • Ensure that requirements are clear, complete, and aligned with business needs. • Contribute to reducing rework and additional ingestion requests during or after analytical development. • Support the organization and prioritization of the information required to enable more accurate data deliveries.

• Shape the AI & Data Vision • Own the Predictive Roadmap: Drive the vision and strategy for our external AI/ML models, advanced analytics features, and data products. • Co-Innovate with Clients: Embed deeply with strategic customers and design partners to validate ideas, uncover raw user needs, and co-develop next-gen features. • Tell the Story of Data: Partner with UX and Data Science to turn complex backend algorithms into beautiful, intuitive data visualizations and high-impact product demos. • Execute & Ship with Impact • Translate Complexity: Act as the ultimate bridge. Translate messy customer business problems into precise technical specs, transformation logic, and data requirements for our engineers and data scientists. • Own the GTM: Collaborate with Product Marketing and Sales to launch features that aren't just technically impressive, but actually move the needle on SaaS metrics (Adoption, Retention, ARR expansion). • Hypothesize & Validate: Use your analytical skills to dive into data assets, validate assumptions, and prove (or disprove) product hypotheses before writing code.

• Collect, clean, and interpret complex datasets to extract actionable business insights. • Bridge the gap between raw numbers and strategic decision-making by identifying trends, building visual dashboards, and communicating findings to non-technical stakeholders • Develop complex value-based analytics solutions for quality, business process functionality, or other strategic/data/analytic initiatives that are complex in nature. • Collaborate with cross-functional teams to identify and establish analytics requirements. • Create detailed documentation and business plans that address stakeholder needs. • Liaise between IT and Product Management for data solutions. • Use advanced understanding of data elements, structures, standards typically involved in financial services transactions, reporting, and cloud-based data storage/sharing to adopt and apply standards in a way that satisfies and balances regulatory and compliance requirements with business needs. • Develop and implement complex enterprise-wide data integration strategies that utilize various data-marts and data warehouse applications to enhance reporting. • Continuously work to improve data platforms, dashboards, and reports to meet emerging and changing business demands and guidelines. • Consult with minimal guidance from Principal on UAT, technical specifications, strategic planning, contract design, technical support, testing updates, and trainings. • Manage data from multiple sources and use project management skills to complete complex projects with minimal coaching and guidance. • Transmit data and proactively work to ensure data quality. • Troubleshoot data issues and devise creative and effective ways to avoid or mitigate issues.