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Overnight Insurance Data Analytics Jobs in Missouri

Walmart

(USA) Principal, Data Analyst

Anderson, MO · On-site

$90K - $180K/yr

By leveraging advanced analytics, AI, labor market intelligence, and strong business partnerships ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

By leveraging advanced analytics, AI, labor market intelligence, and strong business partnerships ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Principal, Data Analyst

Cassville, MO · On-site

$90K - $180K/yr

By leveraging advanced analytics, AI, labor market intelligence, and strong business partnerships ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Candidates must have a strong analytics and data validation background. Key Responsibilities ... insurance, or operational data) * Experience with Databricks and/or PySpark Skills: Data Analyst ...

Jobgether

$106K - $143K/yr

... insurance offerings. * Opportunity to contribute to mission-driven healthcare analytics and public ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Walmart

(USA) Principal, Data Analyst

Cassville, MO · On-site

$90K - $180K/yr

Mentor team members on analytics methods, data quality standards, and visualization best practices ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Principal, Data Analyst

Anderson, MO · On-site

$90K - $180K/yr

Mentor team members on analytics methods, data quality standards, and visualization best practices ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

Mentor team members on analytics methods, data quality standards, and visualization best practices ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Lockton, Inc.

Pharmacy Data Analyst

Kansas City, MO · On-site

A minimum of 1-2 years' experience in the insurance industry, specifically in employee welfare benefits or pharmacy data analytics * Knowledge of the Pharmacy Benefit Management (PBM) industry ...

SupportFinity™

Data Analyst

California, MO · On-site

$80 - $100/hr

... advanced analytics (regression, clustering, time series, etc.). * Lead implementation of ... We offer a comprehensive benefits package that includes medical, dental, and vision insurance; paid ...

Walmart

(USA) Senior, Data Analyst

Noel, MO · On-site

$80K - $155K/yr

Strong knowledge of relational databases, NoSQL, and big data analytics to support data integration ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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Showing results 21-40

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

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:

Overnight Insurance Data Analytics jobs near you

Healthcare Data and Analytics Specialist - Remote - USA

Jefferson City, MO • On-site, Remote

FullStack Labs
IT Services • 11 - 50 employees
Learn more about FullStack Labsexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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