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Overnight Insurance Data Analytics Jobs in Missouri

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... life insurance, and paid time off. Stifel is an Equal Opportunity Employer. Employment Type ...

Familiarity with actuarial principles, insurance data structures, regulatory requirements and reporting standards. * Strong analytical problem-solving and critical thinking skills with a results ...

The ideal candidate is not just a data analyst or coder, but a strategic problem solver who can ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

The ideal candidate is not just a data analyst or coder, but a strategic problem solver who can ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

The ideal candidate is not just a data analyst or coder, but a strategic problem solver who can ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

The Manager, Advanced Analytics leads a team to deliver data-driven insights that support strategic ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

The Manager, Advanced Analytics leads a team to deliver data-driven insights that support strategic ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

The Manager, Advanced Analytics leads a team to deliver data-driven insights that support strategic ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Data Analyst II

Anderson, MO · On-site

$70K - $130K/yr

By leveraging advanced analytics, data-driven insights, and collaboration with operational partners ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Data Analyst II

Cassville, MO · On-site

$70K - $130K/yr

By leveraging advanced analytics, data-driven insights, and collaboration with operational partners ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Data Analyst II

Noel, MO · On-site

$70K - $130K/yr

By leveraging advanced analytics, data-driven insights, and collaboration with operational partners ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Familiarity with marketing analytics (e.g., Google Analytics, Meta Ads, Search metrics) and media ... Insurance Coverage (medical, dental, vision, life, and disability) * 401(k) retirement plan, with ...

Familiarity with marketing analytics (e.g., Google Analytics, Meta Ads, Search metrics) and media ... Insurance Coverage (medical, dental, vision, life, and disability) * 401(k) retirement plan, with ...

Familiarity with marketing analytics (e.g., Google Analytics, Meta Ads, Search metrics) and media ... Insurance Coverage (medical, dental, vision, life, and disability) * 401(k) retirement plan, with ...

Familiarity with marketing analytics (e.g., Google Analytics, Meta Ads, Search metrics) and media ... Insurance Coverage (medical, dental, vision, life, and disability) * 401(k) retirement plan, with ...

Showing results 41-60

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 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 are the most commonly searched types of Insurance Data Analytics jobs in Missouri?

The most popular types of Insurance Data Analytics jobs in Missouri are:

What cities in Missouri are hiring for Overnight Insurance Data Analytics jobs?

Cities in Missouri with the most Overnight Insurance Data Analytics job openings:

EHR Implementation & Data Migration Test Analyst

Kforce Technology Staffing

Saint Louis, MO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 hours ago


Job description

RESPONSIBILITIES:
Kforce's client is seeking an EHR Implementation & Data Migration Test Analyst in Saint Louis, MO to support a healthcare organization's transition from one Electronic Health Record (EHR) and Practice Management (PM) platform to another.
Summary:
This is a highly hands-on role focused on testing, data validation, workflow analysis, system integration testing, and go-live support. The ideal candidate will be directly involved in executing testing activities, validating migrated data, supporting end users, and ensuring a successful system implementation and stabilization.
Responsibilities:
* Validate migrated patient, clinical, scheduling, and insurance data
* Perform data reconciliation and identify migration issues
* Test clinical workflows, scheduling processes, and documentation templates
* Validate integrations between clinical devices and the HER
* Support billing and revenue cycle testing, including claims and payment workflows
* Coordinate with vendors, implementation teams, and end users
* Facilitate User Acceptance Testing (UAT) and track defects
* Provide go-live and post-implementation support
REQUIREMENTS:
* Experience supporting EHR and Practice Management system implementations
* Hands-on experience with data migration testing, validation, and reconciliation
* Experience testing revenue cycle, billing, and claims workflows
* Experience coordinating with multiple vendors and cross-functional stakeholders
* Knowledge of healthcare clinical workflows and patient management processes
* Understanding of HIPAA requirements and handling sensitive patient data
* Strong analytical skills with experience working in Excel and large datasets
* Strong documentation, communication, and problem-solving skills
Preferred Qualifications:
* Experience supporting ophthalmology, specialty medical, or ambulatory healthcare environments
* Familiarity with EHR platforms such as Modernizing Medicine, NextGen, Nextech, Epic, Cerner, athenahealth, or similar systems
* Experience validating medical imaging and diagnostic device integrations
* SQL knowledge and reporting experience
Contract Details:
* Estimated duration: 5-month engagement with potential extension
* Full-time availability required throughout testing, go-live, and stabilization activities
* Participation in go-live and post-implementation support may require occasional after-hours or weekend availability
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce 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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US