• Use SQL, dbt, CI/CD, Github, and Google Cloud to automate data transformation pipelines that flow to our various enterprise partners. • Use Data Visualization tools (such as Tableau) to create intuitive data products, allowing our enterprise partners to better understand their business and trust their data. • Strong communicator, not afraid to contribute during meetings with stakeholders and engineering teammates, and asks clarifying questions to better understand business requirements and opportunities. • Build subject matter expertise within the insurance domain, in order to better anticipate partners’ needs. • Recommend and adopt data governance best practices to Improve data quality and controls. • Construct data validation checks and automated unit tests to catch data quality issues early, ensuring reliable downstream analytics and partner deliverables. • Collaborate with other data analysts and engineers, sharing work and cross-training others. • Ensure data quality through automated monitoring and alerting, and occasionally serving within an on-call rotation. • Maintain a positive attitude and encourage the growth and development of team members. • Make decisions as a team. Propose your ideas. Review others’ work. Shared ownership.

• Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders. • Gather requirements from a cross-functional group to a particular study question or operational activity. • Build & configure solution to meet the requirements. • Lead validation activities to prepare reporting solutions for release/usage. • Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities. • Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports. • Maintain ongoing updates to standard report templates. • Support training for the Data Sciences team of new standard reports/solutions. • Deploy standard reporting solutions for use on a study-specific basis. • Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members. • Gather requirements from study team member(s) for ad hoc solutions. • Build & configure ad hoc solutions to meet the requirements. • Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage. • Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members. • Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics. • Design, build, and maintain metrics governance within Data Sciences. • Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership. • Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies. • Act as a technical system subject matter expert; perform validation and testing of systems. • Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence. • Assess ways to further leverage existing systems to optimize internal efficiencies and processes. • Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy. • While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.

• Lead the creation & development of a standard library of reporting and/or analysis solutions for Data Sciences and other stakeholders. • Gather requirements from a cross-functional group to a particular study question or operational activity. • Build & configure solution to meet the requirements. • Lead validation activities to prepare reporting solutions for release/usage. • Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities. • Deploy standard reporting solutions for use on a study-specific basis. • Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members. • Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.

• Collaborate with cross-functional stakeholders to develop scalable analytics solutions • Create intuitive dashboards and visualizations • Deliver reporting that improves operational and business performance • Transform complex data into actionable insights that drive strategic decision-making • Analyze complex datasets to identify trends, opportunities, and actionable business insights • Design, build, deploy, and maintain reporting and dashboards for internal users and external customers • Support development and execution of the BI roadmap aligned to business priorities • Ensure data quality and integrity across data warehouse and BI platforms • Proactively identify and resolve scalability, performance, and optimization issues