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Overnight Insurance Data Analytics Jobs (NOW HIRING)

State of Ohio

Data Analytics Specialist

Columbus, OH · On-site

$60 - $80/hr

- Data Analytics Specialist (260006A2) Data Analytics Specialist ( 260006A2 ) Organization Public ... Medical Coverage * Free Dental, Vision and Basic Life Insurance premiums after completion of ...

HD Supply

Sr. Data Analytics Specialist

Atlanta, GA · On-site

Leverages innovative analytical techniques to uncover patterns and trends in data. Utilizes data ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Tokio Marine HCC International

$60 - $80/hr

... analytics platforms. Working alongside experienced engineers, you will develop data pipelines ... Develop familiarity with insurance data, business processes, and systems through project work and ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

... data. * Provides support to multiple departments to ensure that business intelligence, analytics ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

Murtech Staffing and Solutions

Data Analyst

Experience working with healthcare or health insurance data. Understanding of clinical data and healthcare data structures. Experience with SQL and data analysis. Experience with APIs and data ...

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Overnight Insurance Data Analytics information

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$153K

$178.7K

$202K

How much do overnight insurance data analytics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for overnight insurance data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What is overnight insurance data analytics?

Overnight Insurance Data Analytics refers to the process of analyzing insurance data during overnight shifts or using automated systems to process large volumes of data outside of regular business hours. This ensures that insurance companies can quickly identify trends, detect fraud, and make informed decisions by the start of the next business day. Professionals in this role typically work with claims data, customer information, and risk assessments using advanced analytical tools and software. The goal is to improve operational efficiency and support decision-making processes.

What are the key skills and qualifications needed to thrive as an overnight insurance data analytics professional?

To excel in Overnight Insurance Data Analytics, you need strong analytical abilities, proficiency in statistical methods, and a background in mathematics, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and insurance-specific software is often required, along with experience in using data visualization platforms like Tableau or Power BI. Attention to detail, problem-solving skills, and the ability to communicate findings clearly are essential soft skills for this role. These competencies are vital for accurately interpreting large datasets during non-standard hours, supporting timely business decisions, and identifying trends or anomalies that impact insurance operations.

What unique challenges might I encounter working in an overnight insurance data analytics role?

Working overnight in insurance data analytics can present unique challenges, including adjusting to non-traditional work hours and maintaining effective communication with daytime teams. You may often handle urgent data requests or last-minute reporting, which requires strong problem-solving skills and the ability to work independently. Additionally, you’ll likely need to coordinate with colleagues across different time zones and shifts to ensure seamless handoffs and continuity in analytics projects. Adapting to the overnight schedule while maintaining high attention to detail and data integrity is essential for success in this role.

What is the difference between Overnight Insurance Data Analytics vs Underwriting Analyst?

AspectOvernight Insurance Data AnalyticsUnderwriting Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; certifications like CAP, CPCU beneficialBachelor's in Business, Finance, or related field; certifications like CPCU or ARM advantageous
Work EnvironmentData centers, analytics teams, remote or office settingsInsurance companies, underwriting departments, office settings
Industry UsageFocuses on analyzing insurance data overnight to support decision-makingEvaluates risks and determines policy terms for insurance applications

While both roles involve insurance data, Overnight Insurance Data Analytics primarily focuses on analyzing data during overnight shifts to inform business decisions, whereas Underwriting Analysts assess risks and set policy terms. The roles share similar credentials but differ in daily tasks and work environment.

What cities are hiring for Overnight Insurance Data Analytics jobs?

Cities with the most Overnight 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 Overnight Insurance Data Analytics jobs?

States with the most job openings for Overnight Insurance Data Analytics jobs include:

Overnight Insurance Data Analytics jobs near you

Senior Insurance Data Scientist

New York, NY • On-site, Remote

Independence Pet Group
See more jobs at Independence Pet Groupexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.
We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.
Independence American Insurance Company (IAIC), a subsidiary of IPH, has over 50 years of underwriting experience and a history of innovation in the pet insurance industry. IAIC has built a reputation as a trusted and dependable partner. We are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appeal.
Job Location: Remote (U.S.) Teams with hubs in: Chicago, IL | New York, NY | Scottsdale, AZ | Cleveland, OH
Job Summary
We are seeking a Lead Data Scientist with hands-on experience in P&C or Pet Insurance pricing to join our growing R&D team. This is a senior individual contributor role responsible for leading pricing model development, driving analytical best practices, and serving as a subject matter expert in insurance pricing.
You will own projects end-to-end - from scoping to delivery - and balance a portfolio of 2-4 concurrent initiatives across pricing, research, and model enhancement. This role requires someone who can independently run a project to ground, ask the right questions when roadblocks arise, and communicate complex modeling work to both technical and non-technical audiences.
You will partner closely with actuarial, product, engineering, and business stakeholders while helping shape the analytical culture of the team.
What You'll Do
Pricing & Modeling Leadership
  • Develop, refine, and maintain GLM-based pricing models and related regression approaches used for rate setting, segmentation, and performance forecasting.
  • Apply machine learning techniques where appropriate to enhance predictive accuracy and customer behavior insights.
  • Serve as a technical lead on pricing initiatives, ensuring methodological rigor and regulatory awareness.

End-to-End Project Ownership
  • Take a scoped project and drive it independently to completion, escalating questions or blockers appropriately.
  • Manage a rotating portfolio of 2-4 active projects, including pricing model builds, research initiatives, and support for regulatory filings.

Data Exploration & Analytical Insight
  • Conduct exploratory data analysis to understand relationships across pricing, conversion, retention, and risk segmentation.
  • Perform advanced root-cause analysis using SQL and statistical techniques to investigate data issues and collaborate with engineering to resolve them.
  • Translate complex analytical findings into clear, actionable insights for leadership across varying technical backgrounds.

Communication & Influence
  • Present modeling results, assumptions, and recommendations to senior leadership in a way that is accessible and compelling.
  • Become an SME in a key area of insurance pricing, providing guidance to peers, leaders, and cross-functional partners.

Team Leadership & Mentorship
  • Mentor junior team members and contribute to elevating data science best practices across the organization.
  • Demonstrate flexibility in leading or following depending on project needs, contributing to a collaborative and high-trust team environment.

Required Qualifications
  • Graduate degree in Statistics, Mathematics, Data Science, Actuarial Science, or related quantitative field and 2+ years of experience in a data science or analytical role OR 4+ years of progressive experience in data science or analytics.
  • At least 1 year of experience in P&C or Pet Insurance pricing (rate modeling, GLMs, segmentation, or related actuarial/data science work).
  • Strong proficiency in Python and SQL for data manipulation, modeling, and analysis.
  • Deep understanding of GLMs, regression modeling, and statistical inference.
  • Demonstrated ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Ability to manage multiple priorities in a fast-paced environment with a small, high-impact team.
  • Strong problem-solving skills, critical thinking, and attention to detail.

Preferred Qualifications
  • Experience with Snowflake, Databricks, or SQL Server.
  • Familiarity with data warehousing concepts.
  • Hands-on experience with WTW Radar, Emblem, or Earnix.
  • Experience building dashboards in Power BI or similar tools.

Who Thrives Here
This role is ideal for someone who:
  • Enjoys owning complex analytical work from start to finish.
  • Can balance multiple projects without losing quality or momentum.
  • Communicates with clarity, confidence, and humility.
  • Wants to grow into a pricing SME and influence decisions across the business.
  • Values both leading and following depending on what the project requires

#LI #carrier
All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:
  • Comprehensive full medical, dental and vision Insurance
  • Basic Life Insurance at no cost to the employee
  • Company paid short-term and long-term disability
  • 12 weeks of 100% paid Parental Leave
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Personal Paid Time Off
  • Paid holidays and company-wide Wellness Day off
  • Paid time off to volunteer at nonprofit organizations
  • Pet friendly office environment
  • Commuter Benefits
  • Group Pet Insurance
  • On the job training and skills development
  • Employee Assistance Program (EAP)

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