Consultant, Advanced Analytics, Homeowners Operational Monitoring

Posted 2026-05-06
Remote, USA Full-time Immediate Start

Monitor key growth and competitiveness metrics including detailed drivers such as new business vitality, bind mix among various customer segments, win rates and closure rates, and recommend improvements to monitoring as needed to support the business. Pull, synthesize, and analyze data from various sources, and turn it into meaningful qualitative insights. Clearly and concisely communicate technical work to both technical and non-technical audiences. Understand data sources and partner with data team to quickly identify and escalate data issues and improve upon data sources to further analytical capabilities. Understand the impact of customer or funnel mix on our profitability or growth and determine how changes in mix could influence results, while considering impact of internal Underwriting or pricing decisions. Model inclusiveness by living our values and contribute to creating an inclusive culture. Provide guidance to less experienced employees. Ability to manage multiple competing priorities displayed through prior project management or equivalent experience. Ability to query and navigate complex datasets using tools like SAS, Snowflake, SQL, or Python. 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 (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 big data software packages (SAS, SQL, Snowflake, Python), Excel (VBA, macros, scripts, formulas, data visualization), and PowerPoint. Must have good planning, analytical, decision-making and communication skills. Ability to present data, visually and verbally, to guide conversations with business managers.

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