• Partner with leadership to drive strategy • Collaborate with product, operations, and go-to-market leaders to identify the most impactful problems to solve and translate ambiguous business questions into structured analytical frameworks • Present insights and recommendations to executives and influence strategic decisions across your business unit • Develop a deep understanding of your domain's challenges, competitive landscape, and growth opportunities • Own key business metrics and KPIs: defining, instrumenting, and evangelizing them across stakeholders • Build scalable data infrastructure • Design, build, and maintain dimensional data models using dbt that serve as the foundation for analytics across your domain • Create self-service dashboards and reporting tools in Looker/Databricks that empower teams to answer their own questions • Establish data quality standards and monitoring to ensure stakeholders can trust the data • Operationalize analytical workflows that scale beyond one-time analyses—building reusable frameworks, automated monitoring, and sustainable data products • Own high-impact analytical initiatives • Depending on your business unit, you might: App: Design and analyze growth experiments, build fraud detection models, optimize conversion funnels, and measure product feature adoption to drive user growth and reduce losses API: Create partner health scorecards, analyze API usage patterns, monitor integration reliability, and identify expansion opportunities to strengthen partnerships and operational visibility Carrier Operations: Develop carrier variance and cost attribution models, track SLA performance, identify margin leakage, and improve operational efficiency to recover costs and drive accountability.