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Overnight Insurance Data Analytics Jobs (NOW HIRING)

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · Remote

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · On-site

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

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 ...

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 ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · On-site

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Selective Insurance

Data & Analytics Architect

Charlotte, NC · On-site

$62.25 - $80/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

Selective Insurance

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

Selective Insurance

Data & Analytics Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Selective Insurance is a midsized U.S. domestic property and casualty insurance company with a strong financial performance history. The Data and Analytics Architect will be responsible for designing ...

Novacore

Insurance Data Entry Clerk

Huntsville, TX · On-site

$14.50 - $19.50/hr

We specialize in tailored solutions for niche industries, powered by advanced analytics, modern ... Insurance Data Entry Clerk The Insurance Center Data Entry Clerk provides customer service to ...

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All JobsInsurance Data Analytics JobsOvernight Insurance Data Analytics Jobs

Overnight Insurance Data Analytics information

See salary details

$153K

$178.7K

$202K

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

As of Jul 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 are 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 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 are the key skills and qualifications needed to thrive as an Overnight Insurance Data Analytics professional, and why are they important?

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.

Is 40 too late for data science?

For an Overnight Insurance Data Analytics role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, and gaining relevant certifications. Age should not deter pursuing a data analytics career at 40 or older.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst, including an Overnight Insurance Data Analytics professional, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. AI tools are used to enhance efficiency, but they do not fully replace the need for skilled analysts who understand business context and can communicate findings effectively.

Can a data analyst work at night?

A data analyst, including those working in insurance data analytics, can work night shifts if the employer offers overnight or flexible schedules. Some roles require 24/7 coverage or support for global operations, making night work possible, especially in environments with real-time data monitoring or client support. Skills in remote collaboration tools and time management are helpful for night shift work.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and insights that help improve underwriting, pricing, and fraud detection.
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
Associate, Provider Data Analytics

Associate, Provider Data Analytics

Oscar Health

Dallas, TX • Remote

$87K - $114K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

238th of 278 rated insurance

Job description

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Network Operations team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions through impact analysis. We are looking for collaboration with business and technical stakeholders to represent departmental needs in company-wide strategic initiatives and problem-solving. Key responsibilities include understanding business requirements, building and managing project plans, documenting decisions, and developing risk mitigation and change management strategies.

You will report into the Senior Manager, Provider Data Operations.

Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $87,188.40 - $114,434.78 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

  • Leads end-to-end management of cross-functional projects related to provider data issues, including issue analysis, stakeholder engagement, coordination of cross-functional relationships to drive collaboration, and participation in testing to ensure accurate and effective solutions
  • Collaborates with internal and external stakeholder groups to develop proactive solution plans for data issues, including communication strategies and program initiatives for successful change management and risk mitigation
  • Identifies trends in provider data issues and scale solutions by leveraging various analytics to assess the overall impact
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:

  • A bachelor's degree or 3+ years commensurate experience
  • 3+ years of work experience in operations, health insurance, data analysis, and/or consulting
  • 2+ years of experience using SQL and Excel
  • 2+ years of experience with end to end project management
  • 2+ years of experience in designing and improving workflows as well as standing up accompanying operating and technical procedures
  • 2+ years of experience with process improvement methodologies such as Lean, Six Sigma

Bonus points:

  • Bachelor's degree in Engineering, Business Administration, or other related field
  • Lean Six Sigma Green Belt certification or higher

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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