• Help build and maintain our Single Source of Truth for signal activity and revenue performance. • Work with large-scale datasets across AWS and DataBricks. • Transform complex signal data into clear insights through Looker dashboards. • Collaborate closely with Finance, Technology, and Business teams to ensure data reliability. • Define and evolve company’s Single Source of Truth for signal activity, revenue attribution, and product performance. • Help monitor signal delivery and data health using AWS logs and Datadog. • Maintain data integrity across Last Activity API and Activity Signal products.

• Implement and maintain data ingestion processes, data models, and report visualizations within BI platforms. • Design, develop, and maintain Power BI reports and dashboards for data insights. • Participate in requirements gathering activities and lead development efforts. • Work within an agile framework by tracking work tasks and time spent. • Maintain and administer data models, connections, and ETL processes within MS Fabric or other BI tools. • Create supporting documentation for new solutions, processes, and reports. • Collaborate with stakeholders to understand their data visualization and process automation needs.

• Design, develop, and maintain complex reports and dashboards for business stakeholders using diverse data sources (Azure SQL, SharePoint, Excel, Dataverse, REST APIs) • Implement DAX measures for multi-currency aggregation, fiscal year calculations, and KPIs • Create Paginated Reports for operational outputs; maintain the Power BI semantic layer (datasets, measures, shared datasets) • Publish and manage Power BI Service workspaces, scheduled refresh, and dataset permissions • Support data quality investigations by tracing discrepancies through the ETL chain • Collaborate with stakeholders

• Own and continuously improve end-to-end payments dashboards in Power BI • Maintain and optimize the payments BI infrastructure and data organization • Ensure data accuracy, consistency, and governance across all payment KPIs • Standardize KPI definitions across Product, Operations, Finance, and Risk • Translate business questions into structured SQL queries and meaningful reporting • Lead ad-hoc investigations (authorization drops, decline spikes, PSP comparisons, recovery performance) • Proactively identify anomalies, performance trends, and emerging risks • Improve documentation and clarity of payment data models • Partner cross-functionally to ensure reporting aligns with operational reality