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Mid-level, metro product-analytics role with broad skill requirements and moderate startup brand, raising competition.
Strong data skill transferability, but insurance-specific finance and commission experience add moderate domain specificity.
Explicit 5–8 years, non-negotiable SQL, top-10% AI fluency and advanced degree preference increase strictness.
Lead analytics for Partnerships business focusing on agent acquisition, retention, growth, and financial risk mitigation.
Design and optimize product usability metrics and operational risk models to improve agent experience and backend financial exposure.
Collaborate across teams to build scalable data infrastructure, implement AI automation tools, and mentor junior analytics staff globally.
5 to 8 years experience in product analytics, business intelligence, or data science at tech startups or established firms.
Expert knowledge of SQL mandatory; strong statistics and predictive modeling skills highly desired.
Advanced degree in quantitative domain (Statistics, Economics, Computer Science, Engineering, Applied Math) or equivalent technical background.
Top 10% AI fluency with Large Language Models (e.g., ChatGPT) required.
Experienced in high-growth, tech-driven environments with a focus on data-driven strategic decision making for partnerships or agent platforms.
Skilled at solving ambiguous, unstructured problems by synthesizing complex data into strategic narratives for executive stakeholders.
Comfortable working individually as an elite contributor while collaborating cross-functionally to build scalable analytics solutions and lead junior team members.