Sr Business Analyst / Senior Decision Scientist - Insurance

Fractal Analytics•New York, NY
•$125,000 - $135,000•Remote

About The Position

As part of the Strategic Analytics team supporting an insurance client, the Senior Decision Scientist / Senior Business Analyst shapes enterprise insights and influences strategic decision-making. The role diagnoses changes in business performance, applies advanced and predictive analytics, and translates complex data into clear narratives leaders can act on. The position is remote and supports EST hours.

Requirements

  • Bachelor’s degree in Analytics, Economics, Statistics, Data Science, or a related field.
  • At least 5 years of experience in analytics, decision science, or senior business/data analyst roles.
  • Hands-on experience with advanced and predictive analytics applied to business problems.
  • Strong SQL skills and experience working with large datasets.
  • Python proficiency for analytics and insight generation.
  • Experience with BI tools such as Power BI, Tableau, or MicroStrategy.
  • Excellent communication skills and the ability to influence senior stakeholders.

Nice To Haves

  • Master’s degree.
  • Insurance domain experience, preferably P&C / Personal Lines (Home & Auto).
  • Experience modernizing rule-based underwriting or decision systems.
  • Familiarity with Snowflake and cloud-based data platforms.
  • Executive reporting and strategic performance analysis experience.
  • Ability to mentor junior analysts and promote best practices in data storytelling and analytics.
  • Understanding of enterprise data governance and reporting standards.
  • Active use of AI tools such as ChatGPT or Microsoft Copilot for analytics productivity.

Responsibilities

  • Drive advanced analytics and insight generation to explain business performance and recommend actions.
  • Analyze conversion and conversation trends across time periods, geographies, and customer segments.
  • Partner with underwriting teams to evolve business rules using predictive and advanced analytics.
  • Apply predictive analytics to improve marketing effectiveness and customer outcomes.
  • Translate complex analytical findings into executive-ready narratives, dashboards, and recommendations.
  • Serve as a trusted analytics advisor to senior stakeholders across marketing and underwriting.
  • Collaborate with enterprise data and engineering teams on pipelines, data quality, and new initiatives.
  • Promote analytics best practices, decision science thinking, and data storytelling across the organization.

Benefits

  • Health, dental, vision, life insurance, and disability plans for eligible employees.
  • Eligibility for benefits on the first day of employment.
  • Company 401(k) Plan eligibility after 30 days of employment.
  • 11 paid holidays.
  • 12 weeks of Parental Leave.
  • “Free time” PTO policy for sick time or vacation.
  • Potential eligibility for a discretionary bonus.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service