• Analyze data from a variety of sources and conduct methodologically sound analyses to generate meaningful insights • Interpret and present data findings to internal and external stakeholders in a clear and actionable way • Collaborate with project teams to ensure analytic deliverables meet business and client needs • Partner with analytics and project teams to ensure data governance and data integrity standards are followed • Support the development of reports, dashboards, and data visualizations to communicate key findings

• Design and lead analytics for quality improvement, research, and care management projects • Develop and maintain dashboards, reports, and ad hoc analyses • Serve as a subject matter expert on healthcare data interpretation and use • Apply advanced statistical methods and programming solutions • Standardize analytic and reporting processes and documentation • Translate complex data into clear insights for leadership and stakeholders • Mentor and provide guidance to less-experienced analysts • Partner with IT and data governance teams to ensure data integrity and compliance

• Work closely with Finance teams and Everfield’s Business Intelligence team to improve financial reporting and analytics. • Collaborate with data engineers to create sustainable data pipelines. • Turn financial data into actionable insights. • Align with key stakeholders to understand reporting requirements. • Create feature development and communication plans. • Identify new financial data variables to be captured on a portfolio level. • Perform exploratory data analysis to validate feasibility and propose enhancements. • Design proof-of-concept solutions for user acceptance testing. • Maintain and update Power BI reports and dashboards. • Extract raw financial data from NetSuite and other upstream sources. • Improve data quality and efficiency. • Support portfolio companies with quality assurance of their financial data. • Build data systems and pipelines based on a medallion architecture. • Automate workflows using Python (Pandas, PySpark).

• Collaborate with key stakeholders to define and document reporting requirement • Develop feature roadmaps and communication plans to align delivery with business needs • Identify gaps in portfolio-level data capture and propose new variables to address them • Conduct exploratory data analysis to assess feasibility and surface opportunities for additional features • Build pragmatic interim solutions to meet reporting needs while permanent infrastructure is developed • Proactively propose alternatives when requirements cannot be fulfilled as specified • Design and deliver proof-of-concept solutions ready for user acceptance testing • Own the maintenance and continuous improvement of Power BI reports • Partner with Data Engineers to extract and integrate raw data from upstream sources • Drive data quality improvements across the portfolio, including supporting portfolio companies with payments data quality assurance • Liaise with PSPs to align on definitions and calculation methodologies, ensuring consistency between their reporting and internal figures • Analyse, structure, and document raw datasets for downstream use • Design and build scalable data pipelines and systems following a medallion architecture • Contribute to making data accessible for AI-powered solutions, including exposure via MCP servers and related tooling • Develop and maintain a company-wide data glossary to support governance and consistency