• Generate meaningful insights into our products, operations, and business. Work with management teams to identify and prioritize business questions that can be answered or informed by data analysis. Have an experimentation mindset - create prototypes, iterate on feedback, and move quickly to figure out how to provide useful information to a variety of stakeholders. • Design and deliver compelling dashboards, reports, and visualizations. Use Tableau (or similar tools) to build actionable and understandable visualizations and self‑service reporting that help internal teams and clients improve their operations and make better decisions. • Establish a metrics‑driven culture across the revenue organization. Define core revenue, funnel, and client health metrics; implement governance standards; maintain a regular reporting cadence; and support a culture of clear accountability, performance standards, and continuous improvement. • Build predictive forecasting models and scenario analyses. Develop forward‑looking revenue forecasts, pipeline health views, and risk analyses using integrated data from CRM, finance, and product usage; provide board‑ready insights and clear narratives around performance and outlook. • Serve as a subject matter expert and educator on business intelligence and data‑driven decision making. Educate product and go‑to‑market team members on basic data wrangling, reporting tools, and how to interpret dashboards; stay up to date on data visualization trends and technologies; and closely collaborate with the Grant Street Data Analytics team. • Understand and help maintain high‑quality data pipelines and business intelligence infrastructure.