• 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.

• Utilize your business acumen and technical expertise to develop and deliver cutting-edge business intelligence solutions, including captivating Power BI dashboards tailored for NASA customers • Develop dynamic mechanisms that allow users to override data or add variables to existing datasets • Create interactive components within Power BI reports, empowering users to input and manipulate data • Champion the philosophy of tool automation, advocating for the streamlining of processes and minimizing reliance on manual intervention for optimal efficiency and precision • Collaborate closely with key stakeholders, leveraging a diverse set of tools and skills such as Visual Analytics Tools, SQL, Smartsheet, Advanced Excel, SharePoint, and Visio to automate business processes and drive efficiency • Ensure data quality and reporting data integrity • Coordinate with other database stakeholders to ensure efficiencies • Work with multiple databases across multiple systems for data identification and reporting • Perform other similar or related duties as required.