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Senior Insurance Data Analytics Jobs in Delaware

Present findings and recommendations to senior leadership to influence strategic decision-making ... Employer paid short-term/long-term disability and basic life insurance * Flexible hybrid working ...

Present findings and recommendations to senior leadership to influence strategic decision-making ... Employer paid short-term/long-term disability and basic life insurance * Flexible hybrid working ...

Present findings and recommendations to senior leadership to influence strategic decision-making ... Employer paid short-term/long-term disability and basic life insurance * Flexible hybrid working ...

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Senior Insurance Data Analytics information

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 are the most commonly searched types of Insurance Data Analytics jobs in Delaware? The most popular types of Insurance Data Analytics jobs in Delaware are:
What are popular job titles related to Senior Insurance Data Analytics jobs in Delaware? For Senior Insurance Data Analytics jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Senior Insurance Data Analytics jobs in Delaware look for? The top searched job categories for Senior Insurance Data Analytics jobs in Delaware are:
What cities in Delaware are hiring for Senior Insurance Data Analytics jobs? Cities in Delaware with the most Senior Insurance Data Analytics job openings:
Infographic showing various Senior Insurance Data Analytics job openings in Delaware as of June 2026, with employment types broken down into 2% As Needed, 29% Full Time, 55% Part Time, and 14% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Full-time

Medical, Dental, Vision, Life, PTO

Posted 2 days ago


Job description

When you join Sallie Mae, you become a champion for all students.

We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.

Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.

We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.

This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.

Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.

We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.

Come do more than join something, change something. For students, for future generations, for the future of education.

What You'll Contribute

As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be responsible for analyzing complex data, identifying patterns and trends, and presenting findings to inform decision making at all levels of the organization.

What You'll Do

  • Lead a team of data analysts to develop and implement analytical frameworks to uncover insights and improve business performance.

  • Analyze complex data sets to identify patterns and trends that will drive business growth.

  • Develop models and forecasts to support business planning and decision-making.

  • Present findings and recommendations to senior leadership to influence strategic decision-making.

  • Collaborate with cross-functional teams to understand business objectives and provide insights to inform business strategies.

  • Ensure data integrity and accuracy by monitoring data sources and implementing quality control processes.

  • Stay up-to-date with industry trends and emerging technologies to drive innovation and continuous improvement.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.

What you have

Minimum: Indicate minimum education, skills and experience required.

  • Demonstrated ability to lead and manage analytics projects and deliver high-quality analytics insights and recommendations.

  • Excellent communication skills, with the ability to present complex data in a clear and concise manner to stakeholders at all levels of the organization.

  • Strong problem-solving and critical thinking skills.

  • Demonstrated ability to work collaboratively across departments and functions.

  • Familiarity with data visualization tools such as Tableau, Power BI, or similar.

  • Experience with SQL, Python, R, or other programming languages commonly used in analytics.

Preferred: Indicate "nice to haves" regarding education, skills, and experience.

  • Bachelor's or Master's degree in mathematics, statistics, economics, computer science, or related field.

  • 5+ years of experience in prescriptive and predictive analytics, with at least 2 years of experience managing a team of analysts.

  • Experience in financial services, lending space

  • Experience with leveraging GenAI for reporting and analytics.

The Americans with Disabilities Act

The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.

Feeling your best helps you do your best:Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).
  • Competitive base salaries

  • Bonus incentives

  • Generous PTO, Floating Holidays and 12 Federal Holidays observed

  • Support for financial-well-being and retirement401k with employer match

  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more

  • Employer paid short-term/long-term disability and basic life insurance

  • Flexible hybrid working arrangements.

  • Paid parental leave and adoption reimbursement programs

  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)

  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives

  • Tuition Reimbursement and Family Scholarship Programs

  • Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clickingIntroduce Yourselfin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click hereto view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.