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Overnight Insurance Data Analytics Jobs in Utah (NOW HIRING)

eBay, Inc.

Risk & Insurance Analyst

Draper, UT · On-site

... analytics, and business intelligence tools to analyze risk data, identify trends and emerging ... Insurance Management: * Assist with the administration and management of the company's corporate ...

JT4, LLC

Operations Test and Data Analyst

Magna, UT · On-site

Develop basic data analysis tools, processes, or products for analysis * Analyze pre-test ... Medical, Dental, Vision Insurance * Benefits Active on Day 1 * Life Insurance * Health Savings ...

Bamboo Insurance

Actuarial Associate

Midvale, UT

$130K/yr

... insurance products based on market insights, data analytics, and business priorities. · Apply advanced actuarial techniques, statistical methods, and modeling to forecast and clearly communicate the ...

Podium

Analytics Engineer

Lehi, UT · Hybrid

Analytics Engineer This role will build out foundational agentic data tooling to support sales ... Life insurance, long and short-term disability coverage * Paid maternity and paternity leave

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

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:
Overnight Insurance Data Analytics jobs near you
Senior Product Data Analyst

Senior Product Data Analyst

Western Governors University

Salt Lake City, UT • On-site

$91K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

70th of 555 rated colleges and universities

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.
Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Grade: Professional 310
Pay Range: $91,000.00 - $136,400.00
Job Description
As a Senior Product Data Analyst, you will serve as the sole analytics partner embedded within a product team, owning the full lifecycle of product data from instrumentation through insights. You will directly influence product decisions and student outcomes by translating complex data into clear, actionable insights that drive measurable impact.
What You'll Do
  • Own end-to-end product analytics, including instrumentation, telemetry setup, data validation, and reporting
  • Partner closely with product, engineering, and cross-functional teams to define metrics, success criteria, and experimentation frameworks
  • Design and implement tracking strategies using tools such as Pendo, Adobe Analytics, CJA, Google Analytics, or comparable platforms
  • Build and maintain dashboards and reporting solutions using BI tools such as Tableau or Power BI to inform decision-making
  • Translate business questions into data requirements, analyses, and insights that guide product roadmap and strategy
  • Proactively identify gaps in data, access, or visibility and broker solutions across teams without relying on escalation
  • Lead analysis across the full product development lifecycle, from problem definition through design, release, and post-launch measurement

What You'll Bring
  • Bachelor's degree in finance, marketing, business, or a related field
  • 5+ years of experience in product or data analytics within mid-sized or enterprise environments
  • Experience implementing instrumentation and telemetry, not just consuming reports
  • Hands-on experience with multiple analytics tools such as Pendo, Adobe Analytics, CJA, Google Analytics, or similar
  • Proficiency with BI tools such as Tableau or Power BI and advanced Excel capabilities
  • Strong analytical and problem-solving skills with a high degree of ownership and accountability
  • Ability to work independently in a team-of-one environment while proactively collaborating across teams

Bonus Points
  • Experience working in fintech, healthcare technology, or similarly complex, regulated industries
  • Demonstrated ability to support cross-functional data access and decision-making without formal authority
  • Experience supporting product teams through full SDLC cycles with measurable outcomes

What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Introductory call (30 minutes)
  • Panel interview (1 hour)
  • Hiring manager interview (30 minutes)

Work Location
This is a full-time, in-office position requiring five days per week in our Salt Lake City, UT office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
#LI-ONESS
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.
How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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