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Overnight Insurance Data Analytics Jobs in Utah (NOW HIRING)

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics ... Company-paid life insurance * Company-paid short-term and long-term disability * Access to mental ...

Medical, dental, and vision insurance * 401(k) * Paid time off * Professional development opportunities * Long-term career growth in analytics, data warehousing, semantic modeling, data governance ...

Medical, dental, and vision insurance * 401(k) * Paid time off * Professional development opportunities * Long-term career growth in analytics, data warehousing, semantic modeling, data governance ...

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Role Purpose ... Assists in the analysis of underlying issues arising from investigations into requirements. Assists ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * 401(k) plan

Data Engineer

Lehi, UT

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * 401(k) plan

Data Engineer

Lehi, UT

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... Medical, dental, and vision insurance * Generous PTO * 11 paid company holidays * 401(k) plan

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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 Utah? The most popular types of Insurance Data Analytics jobs in Utah are:
Sentinel Manager Data Analytics 2 - 19062

Sentinel Manager Data Analytics 2 - 19062

Northrop Grumman Corporation

Roy, UT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 353 frontline employees who took The Breakroom Quiz

108th of 528 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman Defense Systems is seeking an Data Analytics Manager 2. This position is located in Roy, UT.

What You'll Get To Do:

This position is a dual-hat position requiring the candidate to perform functional management activities as well as technical responsibilities on the program.
It is expected that the Functional management role will comprise approximately 20% of the candidate's time

  • Responsible for assessing staffing needs, current as well as projected and working with the respective team leads to address those needs.
  • Responsible for supporting recruitment activities including the creation of requisitions, conducting interviews, and approving offers.
  • Work with program leaders in establishing personal, program, and functional goals as well as performing performance evaluations and merit adjustments for subordinates.
  • Provide subordinates with career development recommendations, mentoring, discipline, as necessary.
  • Generate training plans based on the program and subordinates' needs.

It is also expected that the technical role will comprise approximately 80% of the candidate's time. Technical duties to include, but are not limited to the following:

  • Data visualization - Make the visualization of large datasets accessible to non-engineers
  • Data Transformation - Work with Data Scientists to develop software to interpret data relationships and ontologies
  • Develop software for analytics tools used for analysis of complex statistical and machine learning models to build predictive and prescriptive strategies.
  • Interface with requirements and deriving design from requirements in a model based systems engineering environment
  • Derive and allocate requirements into detailed design
  • Designs, develops and tests displays, controls and functionality
  • Designs, develops and tests simulation software for use in data analysis
  • Design and develop artificial intelligence algorithms to enable data analysis
  • Develops and maintains databases used to store complex data and data relationships
  • Collaborates with Systems and Quality Engineers to ensure software requirements are met and develop Digital Transformation Dashboards and other software solutions
  • Performs software peer reviews, version control, automated tests, software analysis, continuous integration, and continuous delivery in accordance with DevSecOps processes and best practices

As a full-􀆟me employee of Northrop Grumman, you are eligible for our robust benefits package including:

  • Medical, Dental & Vision coverage
  • 401k
  • Educational Assistance
  • Life Insurance
  • Employee Assistance Programs & Work/Life Solution
  • Paid Time Off
  • Health & Wellness Resources
  • Employee Discounts

This positions standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. This position may offer a competitive relocation package.

You'll Bring These Qualifications:

  • Bachelor's degree and 8 years of relevant experience, 6 years with a Masters or an additional 4 years of experience in lieu of a degree.
  • Must be a US Citizen with an active DoD Secret Clearance with an investigation date within the last 6 years
  • Must be able to obtain and maintain a Special Program Access within a period of time, that meets current business needs
  • Experience developing semantic data ontologies.
  • Experience with statistics, including sampling techniques, survey design, and precision measures.
  • Experienced in programming languages, statistical packages, and computer-based data systems.
  • Experience working with large datasets.

These Qualifications Would be Nice to Have:

  • Ability to provide technical guidance on data design, collection, and statistical analysis.
  • Strong written and oral communication skills for reports, presentations, and documentation.
  • Leadership skills to support management, peers, and customers in data science best practices.
  • Ability to work independently towards long-range goals and objectives.
  • Initiative in determining and pursuing effective courses of action.
  • Experience in developing and guiding advanced technological ideas into final products.
Primary Level Salary Range: $126,600.00 - $189,800.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939