• 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.

• Analyze and understand data sources and design data models for capturing structured and unstructured data. • Perform statistical modeling, quantitative analysis, and data mining to extract valuable insights. • Develop and deliver Key Performance Indicators (KPIs) for various organizational needs in consultation with stakeholders. • Utilize data visualization tools to create reports and dashboards that communicate insights effectively. • Participate in Data Governance initiatives to establish data quality standards and measures. • Ensure the highest standards of data collection, recording, analysis, maintenance, storage, adaptation, retrieval, and transmission from various data sources. • Support the training and development of Data Stewards within various departments to enhance data analysis and visualization capabilities. • Stay updated with various Data Architectures to support diverse data needs of the organization. • Monitor and assess system performance for continuous improvements. • Collaborate with the Information Technology team to ensure the seamless integration of data tools and resources. • Provide technical assistance and direction to other Analysts for the purposes of resolving complex issues. • Provide direction in adoption of modern Data technologies as per the needs and demands of the organization.