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Senior Insurance Data Analytics Jobs (NOW HIRING)

The Senior Insurance Data Analyst plays a strategic role in advancing Oxford-wide analytics ... Lead enterprise data analytics initiatives: develop and execute analytics strategies that support ...

Senior Insurance Data Science Consultant

Boston, MA · Remote

$89K - $109K/yr

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science ... Lead pricing strategy discussions using advanced analytics and actuarial insight, ensuring ...

We''re looking for a senior Insurance Data & AI leader to drive client engagements and lead enterprise data transformation initiatives. Key Requirements: * 10+ years of Data & Analytics consulting ...

New

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ...

The Role We're seeking a Senior Insurance Data Scientist to build the pricing and underwriting ... Hands-on experience with insurance loss data, loss development, exposure analysis, and rate ...

Required Qualifications * 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis. * Strong understanding of MGA, Program, P&C, or ...

Insurance Data Analyst

Seattle, WA · On-site +1

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... analytics, or related roles. * Strong SQL skills with hands-on experience in BigQuery and/or SQL ...

Sr. Data Analyst

Piscataway, NJ · On-site

$87K - $110K/yr

Senior Data Analyst Location: Piscataway, NJ (Hybrid/Onsite) Experience: 10-12+ Years Mandatory ... Reporting & Analytics * Excel (Advanced) Domain Expertise * Insurance * Actuarial * Underwriting

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Senior Insurance Data Analytics information

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$16

$56

$81

How much do senior insurance data analytics jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for senior insurance data analytics in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Insurance Data Analytics professional, and why are they important?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a Senior Insurance Data Analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by Senior Insurance Data Analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
What cities are hiring for Senior Insurance Data Analytics jobs? Cities with the most Senior 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 states have the most Senior Insurance Data Analytics jobs? States with the most job openings for Senior Insurance Data Analytics jobs include:

$84K - $115K/yr

Full-time

Posted 22 days ago


Risk Strategies rating

7.5

Company rating: 7.5 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

214th of 299 rated insurance


Job description

The Senior Insurance Data Analyst plays a strategic role in advancing Oxford-wide analytics, transforming complex data into actionable insights that drive performance across underwriting, claims, operations, compliance and finance. This role leads data initiatives, develops analytical frameworks, and supports decision-making across our captive programs and structures. This is a day-to-day hands-on analytics role.
The analyst will partner with internal leadership and Third-Party Administrators (TPAs) to ensure data integrity, consistency, and actionable reporting that supports profitable growth and operational excellence.
Your Impact
  • Lead enterprise data analytics initiatives: develop and execute analytics strategies that support underwriting, claims, operations, and financial performance goals
  • Deliver cross-functional insights: analyze data across lines of business to identify trends, risks, and opportunities impacting profitability and performance
  • Develop and manage reporting infrastructure: build and maintain dashboards tracking key metrics (loss ratios, severity, frequency, operational KPIs, and portfolio performance)
  • Support underwriting and captive program performance: provide data-driven insights into pricing adequacy, portfolio trends, and program outcomes
  • Enhance TPA oversight and operational transparency: evaluate claims performance, service levels, and compliance through structured analytics; coordinating claims data with actuary for quarterly IBNR analysis.
  • Ensure data integrity and governance: maintain consistency and reliability across internal systems, actuarial data, finance reporting, and TPA/claims feeds
  • Partner across functions: collaborate with Underwriting, Claims, Finance, and Operations to align data insights with business objectives
  • Advance predictive and benchmarking capabilities: support development of models, trend analysis, and comparative performance metrics
  • Collaborate with IT and data engineering: strengthen data infrastructure, accessibility, and reporting tools
  • Communicate insights to leadership: present clear, actionable recommendations to support strategic decision-making

Successful Candidates Will Have
  • Bachelor's degree in Data Analytics, Statistics, Risk Management, or related field preferred
  • 5+ years of experience in insurance analytics (claims, underwriting, or enterprise analytics)
  • Strong proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau, or similar)
  • Experience working with claims systems, policy systems, and TPA data feeds (Origami preferred)
  • Familiarity with captive insurance structures and multi-line insurance operations preferred
  • Understanding of regulatory and reporting requirements within insurance environments

Brown & Brown, Inc. and our team of companies is an equal opportunity workplace and is committed to ensuring equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about working at Risk Strategies, part of the Brown & Brown team, by visiting https://us.bbrown.com/careers/.
Pay Range:
$84,200 - $115,000 Annual
The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for this role.
One80 Intermediaries is an equal opportunity workplace and is committed to ensuring equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Learn more about working at One80 Intermediaries by visiting our careers page: www.one80.com/careers.
Personal information submitted by California applicants in response to a job posting is subject to One80's California Job Applicant Privacy Notice .
Recruiting Vendor Disclosure Statement
Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and receive prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.

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