• Create and maintain datasets from disparate data sources and provide analysis thereof using SQL and Tableau • Balance technical data architecture and data flows with end user UX best practices • Manage data visualization life cycles. Working in an Agile environment • Simplify complex ideas to stakeholders at various levels (e.g. explain technical solutions in a manner that matches the audience) • Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations • Ability to influence business decisions and utilizing data at the leadership level • Strategic thinker with ability to provide solutions for business problems • Excellent problem-solving skills and end-to-end quantitative thinking. • Engage with Data Engineering to build out next-level data infrastructure • Working with the government stakeholders as well as other stakeholders to capture and document requirements.

• Use your healthcare knowledge to proactively identify unexpected changes in data and investigate root causes by analyzing trends and underlying factors. • Turn insights into actions. You will not only analyze data but also transform your findings into clear recommendations for strategic adjustments, workflow improvements, and smarter investments for various audiences. • Design, build, and own the development and communication of KPIs for the Provider Operations and Provider Performance teams, enabling those teams to make real time performance adjustments and strategy pivots as well as long term technical and process investments to achieve our goals. • Simplify metric definitions and tools while advocating for data governance and creating a trustworthy reporting layer in Looker. • Implement effective analytical strategies through dashboards and additional tools for proactive monitoring. • Share findings and their limitations with leaders and teams that have mixed technical backgrounds. • Collaborate with Product, Data Science, and Engineering teams to define requirements for supporting data warehousing systems in Snowflake or our internal operating platform.

• Develop and maintain Metabase dashboards that provide visibility into critical metrics for clients and internal teams • Create ad-hoc analyses to support product, operations, and business decisions • Identify patterns, anomalies, and opportunities for improvement from the data • Translate complex data into actionable insights and communicate them clearly • Organize and standardize metrics and KPIs for the Taís and Júlia modules • Ensure consistency and reliability of the information presented to clients • Document metric definitions, data sources, and calculation methodologies • Work closely with engineering, product, and operations teams to understand data needs • Support leadership with analyses that inform strategic decisions • Contribute to the continuous improvement of data collection and visualization processes

• Lead the design, governance, and reporting of key Customer Success metrics, including churn, adoption, productivity, and customer health. • Build and optimize advanced dashboards and analytic models that forecast retention, growth, and operational performance. • Partner with Customer Success leaders to align data strategy, metric definitions, and reporting frameworks with business objectives. • Partner with Customer Engagement and Systems teams to analyze and document workflows, identify process bottlenecks using data insights, and define metrics to measure adoption and impact. • Define and document data requirements, ensuring system design and reports accurately reflect business processes and metrics. • Develop scalable reporting solutions that integrate data from Salesforce, BI platforms, and other systems to measure performance and compliance. • Collaborate cross-functionally with Customer Success, Business Systems, and Data Engineering teams to ensure data accuracy, process alignment, and reporting consistency. • Manage or support special projects and ad hoc analyses as assigned by leadership.