• Design, develop and implement complex ETL processes of healthcare data to meet a wide range of business and system requirements • Support the ETL operational processes including but not limited to: automation, job scheduling, dependencies, monitoring, maintenance, patches, upgrades, security, and administration • Identify process improvements and innovative ways to solve existing or new problems

• Lead the design and delivery of end-to-end analytics solutions, from requirements to deployment and optimization • Ensure analytics products meet Enterprise Operations Insights standards for data modelling, UX design, and storytelling • Drive adoption of AI-ready data practices, ensuring data is structured for scalability and AI consumption • Collaborate closely with Data Engineering to align on architecture, dataflows, and optimized data structures • Actively contribute to building, testing, refining, and improving AI-driven analytics solutions • Drive stakeholder engagement through clear communication, proactive updates, and expectation management

• Implement cost monitoring and alerting solutions across cloud platforms under senior guidance • Develop scripts and automation tools to support cost optimization workflows • Assist in building cost allocation and tagging implementations for accurate cost attribution • Create and maintain cost optimization dashboards and reporting tools • Support integration efforts between cloud billing APIs and internal systems • Contribute to tooling development that supports FinOps processes across product and platform groups • Help implement cost guardrails and automated policies to prevent cost overruns • Assist in developing cost data collection and processing pipelines • Support technical documentation creation for cost-efficient infrastructure patterns • Participate in code reviews and technical design discussions • Monitor and maintain existing cost management tools and systems • Assist in troubleshooting cost-related technical issues • Help implement and test cost optimization recommendations • Support data quality initiatives for cost reporting accuracy • Participate in on-call rotation for cost management systems

• Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup. • Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations. • Manage and enhance data transformations with dbt where necessary. • Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights. • Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness. • Use Git for version control and collaboration. • Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly. • Leverage AI tools to be 10x more productive than the average analyst.