• Contribute to software systems used by millions of low-income Americans • Drive change through impactful data analysis and investigations • Maintain reliable data pipelines to ensure trustworthy data. • Work with product teams, starting with the marketplace team, but also potentially including the government benefits team, marketing, and growth. • Effectively communicate with team members during projects, code review, etc.

• Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team • Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientists, and economists • Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc. • Define and monitor key metrics; investigate changes in metrics and propose next steps • Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems • Contribute to our team and company data culture through accessible data table design and maintenance • Collaborate with, mentor, and help recruit team members

• Serve as the analytics and data science thought partner to Product, Engineering, and GTM leadership—translating business questions into analytical frameworks and actionable insights • Define the vision and roadmap for how CircleCI uses data to make decisions, from product development to customer acquisition to retention • Lead a team where ~80% of the work is ad hoc analysis and deep investigation—answering the hard questions that don't fit neatly into a dashboard • Oversee ML modeling initiatives across product and GTM use cases (propensity models, churn prediction, usage forecasting, recommendations)

• Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs. • Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle—from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale. • Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery. • Drive Scalable, Technology-Enabled Improvement: Lead efforts to apply technology-driven solutions that deepen understanding of each student while supporting a rapidly growing population. Continuously improve how insights are generated, delivered, and acted upon to ensure Beacon scales without sacrificing quality or clarity.