Consultant, Advanced Analytics: Property Claims Loss Insights Analytics

You are intellectually curious. You don't just answer the question asked -- you interrogate it. You are energized by ambiguity, drawn to complex problems, and always looking for the insight beneath the surface. You are analytically rigorous. You have hands-on experience gathering, interpreting, and synthesizing data across multiple sources. You are proficient in one or more of the following: SAS, SQL, Python, or R -- and you know how to use these tools not just to pull data, but to build compelling analytical narratives. You think critically and communicate clearly. You can translate a sophisticated analysis into a story that resonates with a non-technical audience. You are comfortable presenting to stakeholders and defending your methodology under scrutiny. You are a proactive, organized self-starter. You manage your own workload with discipline, follow through without being prompted, and thrive in an environment where you are trusted to work independently. You are a collaborative team player. You bring energy and engagement to the team, invest in the success of your colleagues, and build strong relationships across partner teams. Bachelor's or advanced degree in Economics, Mathematics, Statistics, Actuarial Science, or a related quantitative field 3+ years of experience in a data analytics or data science role, preferably within insurance, financial services, or another complex operational environment Demonstrated ability to lead analytical projects from scoping through stakeholder presentation Experience evaluating operational or financial performance using large datasets Familiarity with insurance claims operations or similar process-driven environments is a plus, but not required -- we will teach you the domain if you bring the analytical skillset Bachelor's Degree plus a minimum 5 years, typically 7 or more years, of related experience required; Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. Master`s Degree preferred; advanced education may be substituted for years of experience (i.e Ph.D. with no professional experience). Deep knowledge of data sources, tools and business drivers. Ability to apply advanced analytical concepts to improve business outcomes. Ability to build analytic tools that will be used by business teams to analyze results and opportunities. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Ability to present data, visually and verbally, to guide conversations with business managers.