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Overnight Insurance Data Analytics Jobs in Missouri

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Senior Manager, Data Analytics

Noel, MO · On-site

$90K - $180K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

The Manager, Data Analytics - Sourcing Solutions / GM leverages data-driven insights & research to ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

The Manager, Data Analytics - Sourcing Solutions / GM leverages data-driven insights & research to ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Manager, Data Analytics

Noel, MO · On-site

$80K - $155K/yr

The Manager, Data Analytics - Sourcing Solutions / GM leverages data-driven insights & research to ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Role summary: The (USA) Manager, Data Analytics leads the development and implementation of ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Role summary: The (USA) Manager, Data Analytics leads the development and implementation of ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Manager, Data Analytics

Noel, MO · On-site

$80K - $155K/yr

Role summary: The (USA) Manager, Data Analytics leads the development and implementation of ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

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Showing results 1-20

Overnight Insurance Data Analytics information

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 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:
Senior Manager, Data Analytics

Senior Manager, Data Analytics

Walmart

Anderson, MO • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,262 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
As Senior Manager, Data Analytics, you will lead the development and execution of advanced analytics strategies to drive data-informed business decisions. This role requires expertise in data sourcing, quality management, and visualization to translate complex data into actionable insights. You will collaborate across functions to align analytics initiatives with organizational goals, mentor team members, and promote continuous improvement through innovative tools and methodologies. Your leadership will ensure the delivery of high-impact solutions that enhance operational performance and support Walmart’s commitment to excellence and integrity.
About the team:
The Earnings Excellence Finance Data Analytics team functions as the operations analytics hub for Walmart’s EE Finance organization, enabling data-driven decisions across the network. The team delivers end-to-end visibility into Driver Earnings and Disbursements through actionable insights supporting compliance and regulatory needs. Key responsibilities include developing dashboards to monitor KPIs, providing advanced analytics and optimization support to finance and other functions, delivering ad-hoc analyses for leadership, and driving analytics for pilots and strategic initiatives. This team plays a critical role in guiding data-backed recommendations to support operational performance and future growth.
What you'll do:
·       Lead analytics and reporting across Driver Earnings, Disbursements, Finance Operations, Tax, Controls, and Compliance
·       Develop and standardize Metrics That Matter reporting for leadership, operations, compliance, and risk visibility.
·       Support executive and operational reporting that shows what changed, why, and where actions needed.
·      Lead data quality, governance, and metric standardization efforts.
·      Turn unclear business problems into practical analytics solutions
·       Lead and coordinate UAT for Spark Driver initiatives, partnering with business, product, and tech teams to align testing, track issues, and support
·       Provide ad-hoc analysis and leadership-ready insights for incidents, escalations, and strategic initiatives
·       Mentor team members and promote analytics best practices.
·       Reduce manual reporting by automation, reusable data
What you'll bring:
·       Experience in data analytics, business intelligence, finance, operations, or a related field.
·       Strong SQL, Python, BigQuery, and dashboarding skills (Tableau or Power BI).
·       Strong understanding of data quality, governance, and KPI standardization.
·       Ability to turn business needs into scalable data and reporting solutions.
·       Comfort working through ambiguity and defining analytics problems.
·       Experience building dashboards and insights for leadership, operations, compliance, or risk visibility.
·       Strong communication and data storytelling skills.
·       Ability to partner across teams and influence stakeholders.
·       Experience mentoring analysts or guiding teams on analytics best practices.
·       Understanding of Walmart LMD Operations, Driver Earnings, Disbursements, or Finance Operations.
·       Partnership across Finance, Operations, Product, Engineering, Tax, Controls, Compliance, and Regulatory teams.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
1 year's supervisory experience. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experience Primary Location... 703 Associate Dr, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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