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Senior Insurance Data Analytics Jobs (NOW HIRING)

Title: Senior Analyst - Data Products Company: Everest Global Services, Inc. Job Category ... of Insurance data and analytics products. This role reports to and works closely with the Data ...

Title: Senior Analyst - Data Products Company: Everest Global Services, Inc. Job Category ... of Insurance data and analytics products. This role reports to and works closely with the Data ...

Sr Data Analyst

Manhattan, NY · On-site

$94K - $119K/yr

Argo Group is a specialty property and casualty insurance brand that partners with agents and brokers to provide effective insurance solutions. The Sr Data Analyst will work closely with various ...

Senior Sales Analyst

Westlake, OH · On-site

$79K - $100K/yr

The Senior Data Analytics and Insights Analyst will interact with other teams to form a data-driven ... Preferred: * Experience in the insurance industry or a similar data-driven environment.

New

Senior Analyst - Data Products

Warren, NJ · On-site

$88K - $112K/yr

As a Senior Analyst - Data Products, you will support the design and delivery of ... insurance data and analytics products, working closely with business stakeholders and IT teams to ...

Sr Data Analyst

New York, NY · On-site

$103K - $133K/yr

Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence. Summary: The Sr Data Analyst partners with stakeholders ...

Senior Director, Data Architecture

Manhattan, NY · On-site

$74 - $99/hr

... analytical, and regulatory purposes. • Integrate core insurance application data (e.g., Policy ... senior leadership roles. • Significant insurance industry experience, ideally within P&C and ...

Ability to communicate findings to senior leadership * U.S. Citizen Highly Desired Qualifications ... Bachelor's degree in Data Analytics, Information Systems, Business, Finance, Human Resources ...

Senior Director, Data Architecture

Atlanta, GA · On-site

$64.75 - $86.50/hr

... analytical, and regulatory purposes. • Integrate core insurance application data (e.g., Policy ... senior leadership roles. • Significant insurance industry experience, ideally within P&C and ...

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

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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 Jul 9, 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:
Senior Analyst - Data Products

Senior Analyst - Data Products

Everest Re Group

New York, NY • Hybrid

$134K - $175K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago


Job description

Title:

Senior Analyst - Data Products

Company:

Everest Global Services, Inc.

Job Category:

Analytics

Job Description:

About Everest:

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

Senior Analyst - Data Products

Join Everest's Data & Analytics team as a Senior Analyst - Data Products, where you will support the design, delivery, and ongoing enhancement of Insurance data and analytics products. This role reports to and works closely with the Data Product Owner, business stakeholders, and IT teams to translate business needs into actionable data solutions, ensure data quality, and enable reliable, scalable analytics.

The role combines business analysis, data analysis, and data product support responsibilities, with a strong focus on requirements, data validation, and delivery execution across enterprise data platforms.

Key Responsibilities

  • Partner with the Data Product Owner and business stakeholders to elicit, document, and prioritize data and analytics requirements.

  • Translate business needs into clear user stories, data definitions, mappings, and acceptance criteria for data and technology requirements.

  • Perform data analysis and validation using SQL to support requirements, issue investigation, and data quality assurance.

  • Support the design and delivery of data pipelines, curated datasets, and data products for Insurance use cases (e.g., Underwriting, Claims, Finance).

  • Collaborate with technology data teams to ensure successful delivery of data products, including participation in planning, testing, and release activities.

  • Execute and support UAT, QA, and release management processes, ensuring solutions meet business and data quality expectations.

  • Investigate and resolve data issues and discrepancies, partnering with business and IT teams and supporting production issue resolution.

  • Drive continuous improvement in analytics tools, methodologies, and capabilities

  • Contribute to data quality, governance, and documentation efforts, including data definitions, lineage, and metadata management.

Qualifications

  • Bachelor's degree in Information Systems, Computer Science, Analytics, Business, or a related field.

  • 5-8 years of experience in data analysis, business analysis, or data product delivery within an enterprise environment.

  • Strong proficiency in SQL and data analysis, with experience validating and reconciling data across systems.

  • Experience working with data platforms, data warehouses, or cloud environments (e.g., Snowflake, Azure, or similar).

  • Handson experience with requirements elicitation, user stories, and Agile delivery practices.

  • Exposure to data governance and catalog tools (e.g., Collibra) and understanding of data quality and lineage concepts.

  • Experience in the insurance industry, with understanding of data across domains such as Claims, Policy, Underwriting, or Finance, preferred.

  • Strong communication and problemsolving skills, with ability to work across business and technical teams.

The base salary range for this position is $134,000 - $175,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

#LI-Hybrid

#LI-AS1

What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Clickhereto learn more about our culture.

  • Our Valuesare the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviorsdefine how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

Type:

Regular

Time Type:

Full time

Primary Location:

Warren, NJ

Additional Locations:

New York, NY

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.

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