Sr Business Analyst / Senior Decision Scientist - Insurance

Fractal Analytics

New York (NY)

A distancia

USD 125.000 - 135.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Health benefits
401(k) plan
11 paid holidays
Parental leave
PTO

Descripción de la vacante

Fractal Analytics is seeking a Sr. Business Analyst / Senior Decision Scientist in Insurance for a remote role (EST hours) in the United States.

You will drive analytics, analyze trends, and partner with underwriting to evolve business rules using predictive analytics, delivering executive-ready dashboards and recommendations. You will translate findings into actions that affect marketing effectiveness and customer outcomes, collaborate with data/engineering teams, and mentor others in data

Formación

  • Bachelor’s degree in Analytics, Economics, Statistics, Data Science, or related field (Master’s preferred).
  • 5+ years of analytics, decision science, or senior business/data analyst experience.
  • Insurance domain experience (preferred), P&C / Personal Lines (Home & Auto).
  • Hands-on with advanced and predictive analytics applied to business problems.
  • Strong SQL skills and experience with large datasets.
  • Python proficiency for analytics and insight generation.
  • Experience with BI tools such as Power BI, Tableau, or MicroStrategy.
  • Excellent communication with the ability to influence senior stakeholders.

Responsabilidades

  • 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

Conocimientos

Analytical thinking
Communication skills
Stakeholder management

Educación

Bachelor’s degree in Analytics, Economics, Statistics, Data Science, or related field (Master’s preferred)

Herramientas

SQL
Python
Power BI
Tableau
MicroStrategy

Descripción del empleo

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Location: Remote (supporting EST hours)

Job Description Sr Business Analyst / Senior Decision Scientist - Insurance Overview
Position Duties and 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
Position Requirements
  • Bachelor’s degree in Analytics, Economics, Statistics, Data Science, or related field (Master’s preferred)
  • 5+ years of experience in analytics, decision science, or senior business/data analyst roles
  • Insurance domain experience (preferred), P&c / Personal Lines (Home & Auto)
  • 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 with the ability to influence senior stakeholders
Preferred Qualifications
  • 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.
Pay

Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $125,000 - $135,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits
  • As a full-time employee of the company or an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time.
  • You will be eligible for benefits on the first day of Employment with the Company.
  • In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.
  • The Company provides 11 paid holidays and 12 weeks of Parental Leave.
  • We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.

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