Sr Business Analyst / Senior Decision Scientist - Insurance
Company websitefractal.ai (Fractal Analytics, opens in new tab)
Base salary $125K to $135K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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
As part of the Strategic Analytics team for our Insurance Client, the Senior Decision Scientist /Sr Business Analyst plays a pivotal role in shaping enterprise insights and influencing strategic decision-making. This role focuses on diagnosing changes in business performance, applying advanced and predictive analytics, and translating complex data into clear narratives that leaders can act on.
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: 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 as 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Source: Fractal Analytics on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($125,000) is above 18% of the 611 Data & ML roles in New York listed on this site; 6 others list the same floor. Their median floor is $170,000; the middle half runs from $140,000 to $197,300.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingSr Business Analyst / Senior Decision Scientist - Insurance$125K to $135K
Senior Gen AI Engineer$120K to $150K
GCP Platform Engineer$120K to $150K
Python Backend Engineer$120K to $130K
.Net$120K to $130K
Senior Data Modeler$120K to $145K
Sr. Data Steward (Data Governance)$120K to $130K
Chart as a table
| Role | Published base |
|---|---|
| Sr Business Analyst / Senior Decision Scientist - Insurance (this listing) | $125K - $135K |
| Senior Gen AI Engineer | $120K - $150K |
| GCP Platform Engineer | $120K - $150K |
| Python Backend Engineer | $120K - $130K |
| .Net | $120K - $130K |
| Senior Data Modeler | $120K - $145K |
| Sr. Data Steward (Data Governance) | $120K - $130K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-20
Where this pay comes from
Location as the employer wrote it: New York
f 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
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
