Rhino

• Build and maintain reporting frameworks and dashboards that power external partner-facing analytics, ensuring data accuracy, consistency, and timeliness across all B2B2C reporting surfaces • Partner with product, revenue, and partner operations teams to surface revenue opportunities across the value chain: partner economics, conversion funnels, and customer lifetime value • Design and execute analyses (cohort studies, trend analyses, A/B test readouts) to measure product, pricing, and partner performance impacts • Own the data pipeline from raw data to partner-ready insight - including data validation, QA, and documentation of reporting methodologies • Translate complex analytical findings into clear, actionable narratives for both internal stakeholders and external partners • Dig into messy data, identify patterns, and move quickly from question to insight to recommendations

• Operate as a bridge between the Data team and Risk team - not just to maintain what exists, but to explore what's possible. • Deeply understand Risk's problems, priorities, and workflows rather than delivering models over the fence • Build analytical and machine learning models that drive business decisions across our insurance/actuarial functions - including next-generation approaches that challenge industry conventions • Partner with our risk and insurance team to support loss modeling, pricing analyses, and portfolio performance metrics, while identifying novel data sources that haven't been leveraged in this industry • Design and run experiments (e.g. A/B tests, causal inference analyses) to measure product and pricing impacts • Translate complex analytical findings into clear recommendations for non-technical audiences • Dig into data, identify patterns, and move quickly from question to insight to action

• Act as strategic partner to Sales and Revenue teams to enable profitable growth • Provide data-driven guidance on trade-offs between growth, pricing, coverage limits, and risk • Support key landlord partner conversations where underwriting judgment is required • Own and steward R+J’s underwriting strategy and risk appetite to ensure consistent and disciplined execution of the underwriting process across risk profiles • Manage the in-house automated underwriting decision engine to ensure proper underwriting rules, risk score logics, coverage limits and deductibles levels are implemented as designed • Partner closely with Product, Engineering, and Data teams to ensure robust data pipelines, quality, and accessibility, enabling scalable and reliable underwriting infrastructure • Collaborate with Risk & Compliance teams to ensure underwriting decisions are explainable, auditable, and aligned with regulatory and carrier requirements • Evaluate underwriting outcomes and portfolio performance to optimize rules and user experience for sustainable growth and profitability targets • Lead industry trends assessment and incorporate relevant insights into underwriting judgment, exception handling, and portfolio oversight • Communicate underwriting performance, emerging risks, and mitigation strategies with credibility and transparency to internal and external stakeholders