• Analyze business challenges and provide business analytics for decision-making. • Translate complex requirements into scalable data transformations using Snowflake. • Present findings to stakeholders at multiple levels. • Build complex data structures and reporting processes to measure business performance. • Design efficient workflows for data transformation and analysis. • Propose and implement best practices in data integrity and validation.

• Lead implementation initiatives, supporting design, build, testing, and deployment of FHIR‑based data solutions • Map healthcare data domains (Member, Eligibility, Coverage, Claims, Prior Authorization, Clinical) to FHIR resources • Apply IGs (US Core, Da Vinci, CARIN), and collaborate on FHIR API design and validation • Build mappings, resource definitions, extensions, and value sets • Work with architects on payloads, search parameters, and versioning • Use validators, test servers, and reference implementations • Support normalization, transformation, and reconciliation across systems • Participate in unit/integration/UAT, produce mappings, specs, and test scenarios

• Gather and document requirements from internal stakeholders • Define, track, and report on key performance indicators (KPIs) • Translate business questions into data models, queries, and dashboards • Prepare clear reports and present findings to technical and non-technical audiences • Help build and maintain ELT pipelines from Segment into Snowflake • Monitor and validate event data flowing through Segment — checking completeness, consistency, and correct destination mapping • Assist with data quality audits across the Segment → Snowflake → Looker stack • Investigate and document data anomalies and pipeline failures • Support data model development and maintenance in Snowflake • Build dashboards and reports in Looker • Write and optimize SQL queries against Snowflake • Assist with basic LookML development: views, explores, and measures • Apply data visualization best practices for clarity and audience fit • Use AI assistants (Claude, Copilot, ChatGPT) to speed up SQL writing, documentation, and analysis • Apply text-to-SQL and LLM-based tools for faster data exploration • Prototype basic AI features: anomaly detection and automated report summarization • Contribute ideas for AI and automation adoption within the team • Track tasks and participate in Agile sprints using Jira • Use Git/GitHub for version control of SQL, LookML, and Python scripts • Participate in code and dashboard reviews • Document data models, event schemas, metric definitions, and pipeline logic

• Design and implement solutions to meet specific needs of the program stakeholders, including workflows, databases, and data visualizations using Power BI and other Microsoft Power Platform tools. • Evaluate and normalize datasets to be used as the sources of dashboards. • Recommend updates that need to be made to clean up datasets as needed. • Perform hands-on Power BI development tasks and implementations. • Make updates to existing Power BI dashboards and Power Platform apps based on stakeholder requests. • Support system integrations between various applications, such as Power BI, SharePoint, and Salesforce. • Provide development support, from design through testing and deployment.