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Overnight Insurance Data Analytics Jobs in Oklahoma

CSAA

Regulatory Reporting Analyst- Remote

Kansas, OK · Remote

Responsible for coordinating, analyzing, and submitting regulatory data requests from state insurance departments, the National Association of Insurance Commissioners (NAIC), and other regulatory ...

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Addison Group

Data Engineer II

Tulsa, OK · On-site

$120/hr

Health insurance Disability insurance Life insurance Retirement plans (like a 401(k)) Paid time off ... Connect to and analyze data from a variety of source systems to assess data quality, structure, and ...

Addison Group

Data Engineer II

Tulsa, OK · On-site

$120/hr

Health insurance Disability insurance Life insurance Retirement plans (like a 401(k)) Paid time off ... Connect to and analyze data from a variety of source systems to assess data quality, structure, and ...

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All JobsInsurance Data Analytics JobsOvernight Insurance Data Analytics JobsOvernight Insurance Data Analytics Jobs in Oklahoma

Overnight Insurance Data Analytics information

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 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?

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 are the most commonly searched types of Insurance Data Analytics jobs in Oklahoma? The most popular types of Insurance Data Analytics jobs in Oklahoma are:
Overnight Insurance Data Analytics jobs near you

Data Analytics Manager - In House

Morton Comprehensive Health Services

Tulsa, OK • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

THIS IS AN IN-HOUSE POSITION. IT IS NOT REMOTE


The Manager of Data Analytics is responsible for preparing and analyzing the organization’s data to support informed decision-making and regulatory readiness. Reporting to the CFO, this position partners across the organization to translate complex data into clear, usable reports and dashboards that support continuous improvement.

This role requires strong analytical skills, attention to detail, and the ability to work collaboratively to develop clear and meaningful reporting tools.


Qualifications:

  • Strong analytical and problem-solving skills with the ability to identify trends, root causes and actionable recommendations across different operational systems.
  • Demonstrated ability to develop clear, cohesive, and meaningful reports and dashboards that support executive decision-making.
  • Experience working with healthcare data, including operational, financial, clinical, quality or compliance related information
  • Proficiency in Microsoft excel, including pivot tables, advanced formulas, data validation and report automation
  • Ability to work in fast-paced environment with shifting priorities and evolving expectations.
  • Strong organization skills with consistent follow-through, attention to detail and accountability
  • Collaborative approach with the ability to work across departments


Education:

  • Bachelor's degree required in a related field such as, Healthcare administration, Finance, Data Analytics, Health Information Management or related discipline.
  • 3-7 years of relevant experience in healthcare analytics, operations, finance, compliance, or quality.
  • Experience in a Federally Qualified Heal Center (FQHC), community health setting or mission-driven healthcare organization is preferred.
  • Familiarity with health care regulatory and compliance environments.
  • Experience with business intelligence or data visualization tools, such as Power BI or similar platform.
This position has been deemed a” Safety-Sensitive” position; therefore, Morton reserves the right to refuse to hire an applicant or may terminate an employee in a “Safety-Sensitive Position” who tests positive for medical marijuana even if he/she has a valid medical marijuana license.


Morton offers:

Health, Dental and Vision Insurance

Paid Life and AD&D

Voluntary Life and AD&D

Paid Long Term Disability

Paid Parental Leave

Generous PTO

10 Paid Holidays and 1 Floating Holiday

403B with 4% company match

Additional supplemental Insurance plans