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Overnight Insurance Data Analytics Jobs (NOW HIRING)

HD Supply

Data Analytics Specialist

Atlanta, GA · On-site

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

Hiring Dreams LLC

Senior Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

Role - Senior Data Analyst Location - Charlotte, NC SUMMARY Demonstrated strong domain expertise in Property & Casualty (P&C) Insurance, with hands-on experience in interpreting ACORD policy formats ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

HD Supply

Manager, Data Analytics

Atlanta, GA

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

Apptad, Inc.

Insurance Lead (P&C)

This is a strategic position, ideal for a seasoned professional with deep expertise in data analytics, AI applications, and client management within the P&C insurance industry. ### Role ...

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

TecTammina

Data Analyst

Chattanooga, TN

... analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL ... Experience in insurance data models Qualifications Excellent written and verbal communication ...

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

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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 Aug 19, 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

Data Analytics Specialist

HD Supply Repair and Remodel

Atlanta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Bachelors degree in Supply Chain, Financial, Analytics, Engineering or similar
1 -2 Analyst experience
SQL/Snowflake
Python (desired)
Advanced Excel
Benefit Modeling Experience
Supply Chain Experience
Tableau
Job Summary
Responsible for creating solutions for business problems using data mining and analytics. Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data visualizations to socialize actionable and implementable insights with business partners, including marketing, sales and supply chain.
Major Tasks, Responsibilities, and Key Accountabilities
  • Collaborates with internal and external stakeholders to manage data logistics, including data transfers, data structures, and business rules to enable project execution.
  • Utilizes data modeling/analysis techniques to mine systems and applications for knowledge and information that supports the enhancement of business processes.
  • Builds, deploys, and maintains data support tools, metadata inventories and definitions for database file/table creation.
  • Provides analytical solutions to business problems Reviews quality assurance/quality control data and project output for accuracy.
  • Creates compelling presentations that provide actionable insights and recommendations.
  • Participates in reporting presentations to key internal and external stakeholders. Communicates key findings and recommendations.
  • Manages multiple projects concurrently and prioritizes and monitors project timelines and scopes.

Nature and Scope
  • Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data.
  • Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process.
  • May provide general guidance/direction to or train junior level support or professional personnel.

Work Environment
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
  • Typically requires overnight travel less than 10% of the time.

Education and Experience
  • Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.

Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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