- Develops moderately complex value-based analytics solutions for quality, business process functionality, or other strategic/data/analytic initiatives of moderate complexity - Collaborates with cross-functional teams to identify and establish analytics requirements - Creates detailed documentation and business plans that address stakeholder needs - Liaises between IT and Product Management for data solutions - Develops and implements moderately complex enterprise-wide data integration strategies that utilize various data marts and data warehouse applications to enhance reporting - Continuously works to improve data platforms, dashboards, and reports to meet emerging and changing business demands and guidelines - Consults with limited guidance from Principal on UAT, technical specifications, strategic planning, contract design, technical support, testing updates, and trainings - Uses intermediate 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 - Manages data from multiple sources and uses project management skills to complete moderately complex projects with minimal coaching and guidance - Transmits data and proactively works to ensure data quality - Troubleshoots data issues and devises creative and effective ways to avoid or mitigate issues

• Clean, validate, and structure healthcare datasets from electronic health records (EHR), claims, and operational systems. • Perform descriptive data analysis to identify trends, patterns, and anomalies under the guidance of senior analysts. • Assist in the development and maintenance of reports, dashboards, and data visualizations using tools like Power BI or Tableau. • Write and execute basic SQL queries to extract and manipulate data. • Contribute to documentation of data sources, reporting processes, and analytical methodologies. • Collaborate with team members and stakeholders to understand data needs and support project goals. • Adhere strictly to data security, privacy, and compliance standards, including HIPAA regulations.

• Analyze large, complex datasets to answer key business questions and identify actionable trends & insights • Build robust SQL queries, data pipelines, and ad hoc analyses to support cross-functional initiatives • Develop predictive models and statistical analyses to forecast key outcomes, supporting decision-making • Build and maintain dashboards and data tools to democratize access to insights

• Design, build, and maintain dashboards and reports for revenue and financial analysis • Create compelling data visualizations using Tableau or other BI tools (e.g., Power BI, Alteryx) • Develop ETL workflows using tools like Tableau Prep, Informatica, or similar • Write and optimize complex SQL queries for data extraction and transformation • Work with large datasets, including queries on Hive, Impala, and Snowflake • Understand and apply data warehouse design principles and best practices • Validate and reconcile outputs between legacy and new systems (e.g., Snowflake, Netsuite) • Collaborate with IT, Finance, and D&A teams to gather requirements and ensure report accuracy • Track and resolve data/reporting issues, document fixes, and maintain report specifications