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Senior Insurance Data Analytics Jobs (NOW HIRING)

1 point system

Insurance Data Analyst

New York, NY · Remote

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 ...

Novella

Insurance Data Scientist

New York, NY · On-site

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 ...

Peak6 Investments LLC

$150 - $200/hr

This senior individual contributor leads complex analytics initiatives, serves as a subject matter ... Prior exposure to agency management systems, policy administration platforms, or insurance data ...

JLL

Senior Insurance Analyst

Saint Paul, MN · On-site

$86K - $107K/yr

The main function of the Senior Insurance Analyst for JLL Real Estate Capital is to provide ... For more information about how JLL processes your personal data, please view our Candidate Privacy ...

Indeed

Senior Insurance Analyst

Sioux Falls, SD · On-site

... Senior Insurance Analyst II to join our Global Insurance & Risk Management team. In this role, you ... You will leverage data-driven insights to proactively surface operational exposures, design ...

Indeed

Senior Insurance Analyst

Indianapolis, IN · On-site

... Senior Insurance Analyst II to join our Global Insurance & Risk Management team. In this role, you ... You will leverage data-driven insights to proactively surface operational exposures, design ...

Indeed

Senior Insurance Analyst

Nashville, TN · On-site

... Senior Insurance Analyst II to join our Global Insurance & Risk Management team. In this role, you ... You will leverage data-driven insights to proactively surface operational exposures, design ...

Indeed

Senior Insurance Analyst

Albuquerque, NM · On-site

... Senior Insurance Analyst II to join our Global Insurance & Risk Management team. In this role, you ... You will leverage data-driven insights to proactively surface operational exposures, design ...

Indeed

Senior Insurance Analyst

Newark, NJ · On-site

... Senior Insurance Analyst II to join our Global Insurance & Risk Management team. In this role, you ... You will leverage data-driven insights to proactively surface operational exposures, design ...

Indeed

Senior Insurance Analyst

Omaha, NE · On-site

... Senior Insurance Analyst II to join our Global Insurance & Risk Management team. In this role, you ... You will leverage data-driven insights to proactively surface operational exposures, design ...

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Senior Insurance Data Analytics information

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

As of Sep 8, 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 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 are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

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 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 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 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:

Senior Insurance Data Analytics jobs near you

Insurance Data Analyst

1 point system

New York, NY • Remote

Contractor

Re-posted 27 days ago

Job description

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 Specialty Insurance operations.
  • Advanced SQL skills, including data extraction, joins, aggregations, and reconciliation analysis.
  • Experience analyzing policy, premium, and claims data.
  • Strong Excel skills, including PivotTables, VLOOKUP/XLOOKUP, and data validation techniques.
  • Experience identifying and resolving data quality issues.
  • Excellent analytical, problem-solving, and communication skills.