Rhino

Data Analyst

• 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

Data Scientist

• 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