• Exploring our datasets to find new insights about American criminal justice systems • Contextualizing and communicating key findings to internal and external stakeholders • Collaborating with our State Engagement and Implementation Engineering teams to design and execute on targeted roadmaps that drive impact in the states where we work • Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software • Analyzing trends and changes in areas related to our own work to understand how our products function

• Exploring our datasets to find new insights about American criminal justice systems • Contextualizing and communicating key findings to internal and external stakeholders • Collaborating with our State Engagement and Implementation Engineering teams to design and execute on targeted roadmaps that drive impact in the states where we work • Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software • Analyzing trends and changes in areas related to our own work to understand how our products function

• Serving as the point of contact for a portfolio of clients, building trusted relationships and ensuring research findings are delivered clearly, on time, and with strategic context • Designing and launching surveys that will be taken by hundreds of thousands of Americans • Managing the fielding of multiple surveys simultaneously to ensure sufficient data collection on time and on budget • Tracking timelines and priorities and liaising between data scientists, engineers, and client-facing stakeholders • Supporting external outreach efforts, including presentations to clients, political partners, and other vendors and consultants • Analyzing data to answer questions from political strategists and clients • Building subject matter context and thinking critically about our data in order to discern real trends versus potential bugs to flag for our machine learning data scientists • Contributing new ideas to the ways we analyze, interpret, and communicate our data – we strive to deliver the best strategic guidance and believe that everyone on the team is part of that goal • Providing product feedback to engineers to improve our tools for internal and external usage

• Analyze vertical and category performance trends to recommend offer types, commission rates, and category investment shifts that will drive commission, volume, ROAS, and new engagement. • Conduct network wide supply diagnostics to determine where we are light on offers, where vertical depth is weak, where and how we can optimize commission/ performance. • Propose network-wide sales optimizations and co funding plays to the sales team to maximize commission, offers and performance. • Identify areas of opportunity to optimize across the platform. • Partner with Analytics to review incrementality, ROAS, CPA (Cost Per Acquisition), and category level metrics to inform network level strategy. • Own network level strategic and data driven frameworks that inform commission strategy, offer mix, and vertical investment decisions. • Synthesize multiple data sources (performance, supply density, incrementality, publisher behavior) into clear, prioritized strategic recommendations for Sales and Leadership. • Evaluate trade offs and scenario outcomes (e.g., commission changes, funding shifts, supply rebalancing) to guide category, publisher and network recommendations. • Collaborate with Product & Engineering to enhance reporting tools and forecasting frameworks that support network level insights. • Partner with Aggregator Owners to align network gaps with aggregator sourcing priorities. • Maintain offer and categorization structures to ensure consistent reporting and vertical mapping. • Support the evolution of network level forecasting and supply planning processes used for cross regional and publisher planning cycles. • Lead analysis of publisher level performance metrics (ROAS, incrementality, AOV (Average Order Value), CPA, offer density, funded vs. unfunded mix) to identify structural gaps and optimization levers. • Support team to surface publisher specific gaps and opportunities and synthesize them into a quarterly network plan with clear actions for BD and Aggregators. • Provide insights and recommendations to team leadership to inform quarterly planning, supply strategy, and cross publisher optimization priorities. • Produce recurring publisher reports/dashboards and QBR materials highlighting trends, risks, and recommended actions. • Conduct and guide root cause analysis for publisher performance anomalies, isolating drivers and recommending corrective actions. • Identify publisher specific gaps and opportunities — pinpoint where channels are under supplied, mis aligned on offer mix, or showing declining engagement; translate findings into clear recommendations. • Prepare periodic reporting (weekly/monthly/QBR) summarizing publisher trends, category health, and optimization opportunities for senior leadership and cross functional teams.