• Driving profitable growth through commercial intelligence, structural rigor & strategic steering • Primary performance auditor of commercial outcomes • Identify the "why" behind performance trends and present them compellingly • Conduct deep-dives into revenue beats or misses and distinguish between one-time windfalls and core structural trends • Lead commercial counterparts through the forecasting and budgeting process • Create elegant solutions for complex business topics like pricing elasticity and market entry costs • Build automated revenue reporting using advanced analytical and reporting tools

• Generate strategic insights that support campaign decisions, customer segmentation, and prioritization of commercial opportunities; • Conduct sales funnel analyses, identifying bottlenecks and opportunities for improvement; • Assist in managing and distributing the team's workload, working closely with leadership; • Develop in-depth analytical studies, formulating hypotheses and investigating variables that impact revenue; • Collaborate with the engineering team in the data processing pipeline, understanding the logic of data structures and helping to critique and guide best practices; • Evaluate campaign performance (ROI, CAC, LTV, conversion) and recommend optimizations; • Design and maintain dashboards that support daily operations across teams; • Work in partnership with marketing, sales, product, CX and engineering teams, monitoring processes in detail to ensure data consistency and quality; • Deliver clear presentations of results and recommendations to stakeholders and leadership;

Manage month-end reporting and financial control, support budgeting cycles, and lead process improvements while collaborating with cross-functional teams to enhance financial insights and drive data-driven decision-making.

• Design and lead end-to-end analytics projects addressing strategic business questions across P&C underwriting, claims, distribution, and client experience. • Develop advanced statistical models, segmentation analyses, and predictive frameworks to surface trends from large, complex datasets. • Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g., Tableau, Power BI, Looker). • Partner with business leaders in Sales, P&C Underwriting, Operations, and Finance to translate needs into analytical project plans. • Provide guidance, code review, and technical mentorship to junior and mid-level analysts on the team.