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Senior Insurance Data Analytics Jobs in Rutherford, NJ

American Express

Senior Analyst-Data Analytics

New York, NY

$94.10K - $118.70K/yr

Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working ... Preferred Qualifications * 2+ years of experience in data science, advanced analytics, machine ...

American Express

Senior Analyst-Data Analytics

Manhattan, NY · On-site

$89.25K - $150.25K/yr

Preferred Qualifications * 2+ years of experience in data science, advanced analytics, machine ... Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working ...

SupplyHouse.com

Senior Manager, Data Analytics

Manhattan, NY · On-site

$145K - $180K/yr

Senior Manager, Data Analytics to join our Finance Team. This individual will report to the Vice ... Comprehensive and affordable medical, dental, vision, and voluntary life insurance options 401(k) ...

New

SS&C

Data Analytics Manager

New York, NY

$110K - $125K/yr

Data Analytics Manager Location : New York City | Hybrid About the Role SS&C is leading the way. We ... Ability to form effective working relationships with senior executives and sales leadership

Blue Prism Group

Data Analytics Manager

Manhattan, NY · On-site

$110K - $125K/yr

Data Analytics Manager SS&C is leading the way. We continue to look for todays and tomorrow ... Ability to form effective working relationships with senior executives and sales leadership

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

As of Jun 3, 2026, the average hourly pay for senior insurance data analytics in Rutherford, NJ is $57.92, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $68.61 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 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 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.

How much does a senior data analyst make at American Family Insurance?

A senior data analyst at American Family Insurance typically earns between $70,000 and $100,000 annually, depending on experience, location, and skills. Compensation may also include bonuses and benefits related to data analysis tools and insurance industry knowledge.

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 job categories do people searching Senior Insurance Data Analytics jobs in Rutherford, NJ look for? The top searched job categories for Senior Insurance Data Analytics jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Senior Insurance Data Analytics jobs? Cities near Rutherford, NJ with the most Senior Insurance Data Analytics job openings:
Senior Insurance Data Analytics jobs near you

Senior AI Insurance Advisor & Trainer - Remote

ChatGPT Jobs

Manhattan, NY • Remote

Full-time

Posted 13 days ago

Job description

A leading technology firm is looking for a Senior Insurance Advisor - AI Trainer to provide insurance expertise for AI model training. The role is remote and includes responsibilities such as advising on insurance aspects of AI solutions, annotating data for training, and collaborating with engineers and product managers. Ideal candidates should have a strong background in insurance, experience with AI, and excellent communication and analytical skills.

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