• Develop and maintain data replication and ELT pipelines feeding the analytics platform • Design and implement dimensional data models using star and snowflake schemas • Build and maintain data transformations that convert operational data into analytics-ready datasets • Implement data quality checks, testing, and validation to ensure accuracy of KPIs and metrics • Create and maintain documentation for data models, business logic, and data lineage • Establish data governance standards for analytics, including naming conventions, access controls, and metric definitions • Partner with BI tool users (Tableau, Looker, Power BI) to design efficient, performant data structures • Mentor junior engineers and analysts on data modeling, SQL optimization, and analytics best practices

• Partner with leadership to drive strategy • Collaborate with product, operations, and go-to-market leaders to identify the most impactful problems to solve and translate ambiguous business questions into structured analytical frameworks • Present insights and recommendations to executives and influence strategic decisions across your business unit • Develop a deep understanding of your domain's challenges, competitive landscape, and growth opportunities • Own key business metrics and KPIs: defining, instrumenting, and evangelizing them across stakeholders • Build scalable data infrastructure • Design, build, and maintain dimensional data models using dbt that serve as the foundation for analytics across your domain • Create self-service dashboards and reporting tools in Looker/Databricks that empower teams to answer their own questions • Establish data quality standards and monitoring to ensure stakeholders can trust the data • Operationalize analytical workflows that scale beyond one-time analyses—building reusable frameworks, automated monitoring, and sustainable data products • Own high-impact analytical initiatives • Depending on your business unit, you might: App: Design and analyze growth experiments, build fraud detection models, optimize conversion funnels, and measure product feature adoption to drive user growth and reduce losses API: Create partner health scorecards, analyze API usage patterns, monitor integration reliability, and identify expansion opportunities to strengthen partnerships and operational visibility Carrier Operations: Develop carrier variance and cost attribution models, track SLA performance, identify margin leakage, and improve operational efficiency to recover costs and drive accountability.

• Serve as SME for Power BI, Power Query, DAX, and the Microsoft Power Platform. • Build and maintain Power BI datasets, dataflows, ETL processes, dashboards, and optimized data models. • Administer Dataflows, manage refresh schedules, and resolve performance or dependency issues. • Leverage Power Automate and Power Apps for workflow automation and lightweight solutions. • Integrate Power Platform tools with Snowflake, Databricks, and SQL-based systems. • Partner with stakeholders to gather requirements and translate business needs into scalable data solutions. • Analyze data to deliver trends, insights, and actionable recommendations through effective storytelling. • Ensure data quality, governance, and continuous improvement across reporting and analytics processes.

• This role will focus on building scalable ETL/ELT pipelines, ensuring data integrity and compliance, and supporting advanced troubleshooting across complex VA systems. • This position transforms raw data into structured formats suitable for analysis and reporting while loading it into target databases or data warehouses. • Design and implement scalable ETL/ELT pipelines to support enterprise data integration, analytics, and reporting initiatives. • Combine data from multiple heterogeneous sources into unified, reliable data views. • Transform and load data into target databases or data warehouses using best practices for performance and scalability. • Ensure the highest possible standards of data quality, consistency, and accuracy across systems. • Monitor and report on data processes to ensure data consistency, integrity, and compliance with applicable privacy and regulatory requirements (e.g., HIPAA and federal data security standards). • Oversee daily operations, including incident management and production support. • Troubleshoot and debug complex data integration and transformation issues, performing root cause analysis across systems and pipelines. • Manage coordination between systems, teams, and stakeholders to resolve integration issues efficiently. • Support and enhance existing ETL processes and data distribution workflows. • Perform ongoing VistA table configuration and related healthcare data tasks. • Develop new data domains and optimize existing data models. • Solve complex technical challenges with innovative and strategic solutions.