Sr. Financial Analyst - Hybrid

Verisk AnalyticsJersey City, NJ
17hHybrid

About The Position

We’re looking for a Senior Financial Analyst to join our growing InsurTech organization in Jersey City. This role sits at the intersection of pricing, advanced analytics, and strategic decision-making, partnering closely with Product, Data & Sales. You’ll use big data modeling and Power BI to drive insights that shape pricing strategies, improve profitability, and support long-term growth.

Requirements

  • Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field (MBA or advanced degree a plus)
  • 5–8+ years of experience in financial analysis , pricing, or analytics—preferably within insurance or InsurTech
  • Strong experience with pricing models , forecasting, and profitability analysis
  • Advanced Power BI skills (DAX, data modeling, dashboard design)
  • Experience working with big data environments (SQL required; Python/R a plus)
  • Strong strategic thinking and ability to influence cross-functional partners
  • Excellent communication skills with both technical and non-technical audiences

Nice To Haves

  • Experience with insurance products (P&C, Life, Health, or Specialty)
  • Exposure to actuarial concepts or collaboration with actuarial teams
  • Cloud data platforms (Snowflake, Azure, AWS, Databricks)

Responsibilities

  • Lead pricing analysis and strategy across insurance products, identifying trends, risks, and opportunities
  • Build and maintain financial and statistical models using large, complex datasets
  • Develop Power BI dashboards and reports to communicate insights to senior stakeholders
  • Partner with Product, Actuarial, Data Science, and Engineering teams to support data-driven decisions
  • Analyze profitability, loss ratios, customer behavior, and market dynamics
  • Support strategic initiatives including new product launches, pricing changes, and growth scenarios
  • Translate complex analytics into clear, actionable business recommendations
  • Improve and automate reporting, forecasting, and modeling processes
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