• Oversee the definition and delivery of health and social data analytics and reporting products/services. • Serve as product owner for products and services from MX’s data platform, including creating new products/services and enhancing existing products/services to maximize value for MX participants. • As a product owner, document and track requirements, enhancements, and backlog from initial ideation through to eventual delivery. • Provide guidance, leadership and management of key data platform activities including, but not limited to: Reports, dashboards, and analytics deliverables to provide insights to meet internal and external business needs. • Data quality investigations, measurement, and improvement; and • Data life cycle management (including archival, compression) working with the Technical Operations team. • Support MX leadership in tracking progress/issues and delivering on key data team initiatives, including assigned Organization Key Results related to strategic MX objectives. • Provide direction on and apply best practices and approaches in the development of reports, dashboards, and analytics to democratize MX data for relevant use cases to support MX leadership and MX participants. • Conduct data analysis by defining and developing reports, dashboards, analytics, and research as assigned using SQL and identified business intelligence tools. • Establishing data usage guidelines and relevant data dictionaries for business leaders across the MX organization for accessing and leveraging MX data.

• Join a team of Data Analysts that influences the directions in which we push our Supply product as we seek to create even greater value for our customers over time • Define, evaluate, and monitor key metrics, understanding the root causes of changes, and proactively surface insights to Money Movement leadership • Perform A/B test analysis in partnership with the Checkout Product Team within our existing suite of tools and platforms. Deep dive into results to gather insights to shape the experimentation roadmap • Conduct exploratory analysis to identify areas to optimize our payment options and influence customers towards certain payment methods • Measure how different costs factor into our net take and work closely with Supply Product teams to identify areas that we could improve • Work closely with data and product team stakeholders to build lasting data modeling solutions, including automating analyses and authoring pipelines via SQL-based ETL frameworks • Communicate key learnings and recommendations to product teams in a manner that productively influences decision making

• Work with internal and external business, product, and engineering stakeholders to understand BI and analytics needs and priorities. • Collaborate with the data engineering team, engineers, product team, and business stakeholders to understand data sources and develop data pipelines to transform raw data to clean & aggregated data, culminating in the development of BI solutions. • Explore the data with visualization tools and statistical techniques, analyzing KPIs to understand trends, glean insights, and present these findings to stakeholders at various levels. • Work on business analytics projects incorporating predictive and prescriptive analytics to find valuable insights from data and help drive business decisions (e.g., analysis of consumers moving from MVNO to MNO accounts).

• Work with internal and external business, product, and engineering stakeholders to understand BI and analytics needs and priorities. • Collaborate with the data engineering team, engineers, product team, and business stakeholders to understand data sources and develop data pipelines to transform raw data to clean & aggregated data, culminating in the development of BI solutions. • Explore the data with visualization tools and statistical techniques, analyzing KPIs to understand trends, glean insights, and present these findings to stakeholders at various levels. • Work on business analytics projects incorporating predictive and prescriptive analytics to find valuable insights from data and help drive business decisions (e.g., analysis of consumers moving from MVNO to MNO accounts).