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Full Time Insurance Data Analytics Jobs (NOW HIRING)

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Erie Insurance

Senior Data & Analytics Specialist

Erie, PA · On-site

$70K - $112K/yr

At Erie Insurance, you're not just part of a Fortune 500 company; you're also a valued member of a ... Full-time employees are vested after five years of service. * 401(k) with up to 4% contribution ...

New

Selective Insurance

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

Everest Insurance

Senior Analyst - Data Products

Warren, NJ · On-site

$134K - $175K/yr

... of Insurance data and analytics products. This role reports to and works closely with the Data ... Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: New York, NY ...

EXL

Fabric Analytics Data Engineer

Newark, NJ · On-site

EXL is seeking a Fabric Analytics Data Engineer to architect and implement data solutions using ... support insurance datasets such as policy, claims, billing, actuarial, and customer information ...

Amentum

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialist with 2-5 years of experience in data ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

EPIC Brokers

Lead Insurance Data Scientist

Dallas, TX · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Novacore

Insurance Data Entry Clerk

Huntsville, TX

$14.50 - $19.50/hr

We specialize in tailored solutions for niche industries, powered by advanced analytics, modern ... Insurance Data Entry Clerk The Insurance Center Data Entry Clerk provides customer service to ...

Pae

Data Analytics Specialist

Crane, IN

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialistwith 2-5 years of experiencein data ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

State Street Corporation

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position ... company match; insurance coverage including basic life, medical, dental, vision, long-term ...

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All JobsInsurance Data Analytics JobsFull Time Insurance Data Analytics Jobs

Full Time Insurance Data Analytics information

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How much do full time insurance data analytics jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for full time insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is the difference between Full Time Insurance Data Analytics vs Insurance Data Analyst?

AspectFull Time Insurance Data AnalyticsInsurance Data Analyst
CredentialsBachelor's degree in Data Science, Statistics, or related field; certifications like CPCU or CPCU Data AnalyticsBachelor's degree in related fields; certifications like CPCU or data analysis certifications
Work EnvironmentFull-time position within insurance companies, focusing on data-driven decision makingTypically within insurance firms, analyzing data to support underwriting, claims, or marketing
Employer & Industry UsageCommonly employed by insurance companies, brokers, and consulting firmsPrimarily in insurance companies, underwriting firms, and risk management departments

Full Time Insurance Data Analytics roles involve comprehensive data analysis, often with advanced tools and larger teams, while Insurance Data Analysts focus on specific data tasks within insurance organizations. Both roles require similar credentials and are integral to data-driven insurance operations.

More about Full Time Insurance Data Analytics jobs
What cities are hiring for Full Time Insurance Data Analytics jobs? Cities with the most Full Time Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What job categories do people searching Full Time Insurance Data Analytics jobs look for? The top searched job categories for Full Time Insurance Data Analytics jobs are:
Full Time Insurance Data Analytics jobs near you
Infographic showing various Full Time Insurance Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Analytics Lead (Property & Casualty)

Data Analytics Lead (Property & Casualty)

Peak6 Investments LLC

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

WHO WE ARE
We are PEAK6, a leading investment firm, using technology to find a better way of doing things. The company's first tech-based solution was developed in 1997 to optimize options trading, and over the past two decades, the same formula has been used across a range of industries, asset classes, and business stages to consistently deliver superior results. Today, PEAK6 seeks transformational opportunities to provide capital and strategic support to entrepreneurs and forward-thinking businesses. PEAK6's core brands include PEAK6 Capital Management, PEAK6 Strategic Capital, Apex Fintech Solutions, FOCUS, We Insure, Evil Geniuses, Poker Power, Zogo, and Bruce Markets.
ABOUT THIS ROLE
The Lead, Data Analytics plays a critical role within FOCUS' Group's Data & Technology division, driving the strategic use of data to inform business decisions, improve operational efficiency, and enhance client outcomes. This senior individual contributor leads complex analytics initiatives, serves as a subject matter expert across data domains, and acts as a key liaison between data engineering, business stakeholders, and executive leadership.
The ideal candidate is an analytically rigorous, business-savvy professional with deep expertise in Property and Casualty(P&C) insurance environments. They excel at translating ambiguous business questions into structured analytical frameworks, mentoring junior analysts, and delivering actionable insights at scale. This role is suited for someone who thrives in a fast-paced, collaborative environment and is passionate about harnessing data to drive meaningful outcomes.
Position Summary
Analytics Strategy & Insight Generation 30%
  • Design and lead end-to-end analytics projects addressing strategic business questions across P&C underwriting, claims, distribution, and client experience.
  • Develop advanced statistical models, segmentation analyses, and predictive frameworks to surface trends from large, complex datasets.
  • Define and track key performance indicators (KPIs) and metrics that drive business accountability and operational improvement.
  • Identify data gaps and quality issues; partner with data engineering to resolve root causes and improve data integrity.
  • Synthesize findings into clear, compelling narratives for both technical and non-technical audiences.

Data Modeling, Reporting & Visualization 30%
  • Architect and maintain scalable data models and pipelines in collaboration with data engineering teams.
  • Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g., Power BI, Looker).
  • Write complex SQL queries and leverage Python/R for statistical analyses, automation, and ad hoc investigations.
  • Document data definitions, methodology, and analytical logic to ensure reproducibility and organizational knowledge transfer.
  • Evaluate and implement new analytics tools and technologies to improve team efficiency and capability.

Stakeholder Collaboration & Business Partnership 25%
  • Partner with business leaders in Sales, P&C Underwriting, Operations, and Finance to translate needs into analytical project plans.
  • Facilitate requirements-gathering sessions and proactively manage expectations around timelines, scope, and deliverables.
  • Present analytical findings and recommendations to senior leadership; clearly articulate business impact and suggested actions.
  • Serve as a subject matter expert for data governance, data definitions, and analytical best practices across the organization.
  • Collaborate with IT and data engineering on infrastructure priorities, ensuring analytics requirements are represented in the roadmap.

Team Leadership & Mentorship 15%
  • Provide guidance, code review, and technical mentorship to junior and mid-level analysts on the team.
  • Lead project planning and workload prioritization for analytics initiatives; coordinate cross-functional delivery timelines.
  • Champion a culture of data-driven decision-making and analytical rigor across the organization.
  • Contribute to hiring, onboarding, and professional development efforts within the analytics function.

Education
  • Required: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
  • Preferred: Master's degree (MBA, MS in Data Science, Analytics, or related discipline).
  • Preferred: Relevant certifications such as Google Data Analytics, or AWS Certified Data Analytics.

Work Experience
  • Required: 6+ years of progressive experience in data analytics, business intelligence, or a related role, with at least 2 years in a lead or senior capacity.
  • Preferred: Experience in the insurance, financial services, or healthcare industry.
  • Preferred: Prior exposure to agency management systems, policy administration platforms, or insurance data warehouses.
  • Preferred: Experience working in an Agile/Scrum environment and managing analytics delivery within sprint cycles.

Knowledge, Skills & Abilities
  • Advanced proficiency in SQL; strong working knowledge of Python or R for analytical workflows.
  • Expertise with BI and visualization tools such as Power BI, or Looker.
  • Proven ability to build and communicate complex analyses to executive and non-technical audiences.
  • Strong understanding of data modeling, data warehousing concepts, and ETL processes.
  • Excellent project management and organizational skills; ability to manage multiple priorities in a fast-paced environment.
  • High emotional intelligence with demonstrated ability to influence without formal authority.
  • Knowledge of insurance products, terminology, and regulatory environment is a strong plus.

Supervisory Responsibility
This role does not carry formal supervisory responsibility. However, the Lead, Data Analytics is expected to provide informal mentorship, technical guidance, and project leadership to junior and mid-level analysts within the team.
Working Conditions
Travel: Minimal; up to 10% travel may be required for team meetings, conferences, or client visits.
Work Hours: Standard business hours (Monday-Friday); occasional flexibility required to meet project deadlines or collaborate across time zones.
OUR REWARDS
We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. As a hybrid workforce, we offer our employees the ability to work remotely up to two days a week.
PEAK6 is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.
PEAK6 is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please contact our HR department at hrpeak6@peak6.com. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.
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