• Design and build data solutions and reporting needs with customers and stakeholders • Coordinate with vendors to meet company standards and needs • Design, create and implement comprehensive BI and analytics solutions, and encourage the adoption of self-service analytics throughout the organization • Ensure the team designs, builds, tests, and maintains solutions for data transformation from a variety of data sources while modeling data in an efficient and performant manner • Document solutions, metadata, and processes to the required company standard • Assist in problem management and root cause analysis • Build data expertise and employ best practices in engineering and analytics: data quality, test designs, code reviews, documentation, continuous integration, and continuous delivery • Work with team and product owners to prioritize and estimate effort • Participate in agile ceremonies, including planning, pointing, demos, and retros

• 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