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Overnight Insurance Data Analytics Jobs in Arizona

Hughes Federal Credit Union

Data Analyst

Tucson, AZ · On-site

$78K - $98K/yr

Design, develop, test, deploy and enhance custom data structures, datasets, analytics dashboards ... Free Vision Insurance * Life and Disability Insurance * Provided by the Credit Union with Optional ...

Collabera

Data Analyst

Phoenix, AZ · On-site

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Tasks and ... Performs data analytics on various processes and projects to measure post-implementation ...

Shamrock

Operations Data Analyst

Phoenix, AZ · On-site

Deliver Solutions - Partner with development teams to implement analytics templates and processes ... That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home ...

U-Haul

Accounting Data Analyst

Phoenix, AZ · On-site

Data analytics * SAP * Creating flowcharts * Microsoft Azure DevOps U Haul Offers: * Medical insurance * Prescription drug plans * Dental & Vision plan with hearing care discounts * Onsite medical ...

fairlife

Operations Data Analyst

Goodyear, AZ · On-site

This role will leverage fairlife's Unified Factory Data Model (UFDM) and analytics platform to ... Company-paid life insurance and short-term disability * Employer HSA funding (for HDHP participants)

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

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 Arizona?

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

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

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

Overnight Insurance Data Analytics jobs near you

AI Applications & Data Analytics Lead

Granite

Tucson, AZ

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago

Key responsibilities

  • Build and scale AI and data solutions to improve safety, production, cost, and performance in construction materials operations.

  • Design, develop, and maintain AI-enabled applications, machine learning models, and analytics tools to optimize production, pricing, and plant uptime.

  • Collaborate with various teams to translate business needs into technical AI and analytics solutions, and integrate these solutions with existing systems.

Granite Telecommunications rating

7.3

Company rating: 7.3 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

54th of 101 rated telecommunications companies

Job description

Building a career at Granite may be the most valuable thing you could do...

Find your dream job today, and be part of something great. Our most powerful partnership is the one we have with our employees. Our people are our most valued asset and the foundation of Granite's century-old success. We're building more than infrastructure; we are building your future.

General Summary

The AI Applications & Data Analytics Lead is responsible for building and scaling practical AI and data solutions that drive measurable improvements in safety, production, cost, and performance across construction materials operations.
This role serves as the bridge between field operations and technology-turning operational data into actionable intelligence and deploying AI-enabled applications that improve decision-making, automate workflows, and enhance productivity.
The position combines hands-on development capability with business leadership-owning the identification, prioritization, and execution of AI and analytics use cases across plants, sales, and support functions.Essential Job Accountabilities

Design, develop, and maintain AIenabled applications supporting aggregate and asphalt plant operations and sales. Develop and implement machine learning and advanced analytics models to optimize production, pricing, plant uptime, and cost performance. Optimize product pricing with sales data including pricing and GIS data. Integrate AI solutions with existing operational software, plant systems, sensors, and databases. Enhance sales efficiency through the use of AI and bots to review specifications, Enhance and modernize legacy software systems through automation, predictive analytics, and decisionsupport tools. Build and maintain data pipelines, APIs, and services enabling realtime and nearrealtime operational insights. Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence. Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions. Ensure AI solutions align with cybersecurity standards, company policies, and responsible AI practices. Document systems, models, and processes to support longterm sustainability and user adoption. Continuously evaluate emerging AI and software technologies relevant to construction materials

Education
  • Bachelor's Degree in artificial intelligence, computer science, data science, mathematics, or related quantitative fields. Equivalent practical experience may be considered for candidates with a strong portfolio.

Work Experience

  • Minimum of two (2) years of professional experience in software development, data analytics, AI or machine learning implementation.
  • Experience delivering productionready apps, and software solutions in operational or industrial environments.
  • Strong data analytics skills.
  • Experience working with databases, analytics platforms, and modern application architecture.
Knowledge, skills, and abilities
  • Experience in aggregate, asphalt, construction materials, mining, sales or manufacturing operations.
  • Familiarity with plant control systems, sales and production data.
  • Experience with predictive maintenance, quality analytics, or process optimization.
  • Strong communication skills and ability to work with nontechnical stakeholders.
  • Applied artificial intelligence and machine learning
  • Industrial software development and systems integration
  • Datadriven problem solving
  • Operational and sales mindset focused on safety, quality, and efficiency
  • Collaborative and partnership mindset.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is required to walk uneven and steep ground to access property for the purpose of interacting with operations and sales employees. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Additional Requirements/Skills
  • Abide by Granite's Code of Conduct on a daily basis
  • Valid driver's license and ability to drive for extended periods of time
  • Overnight travel required

Our Benefits at a Glance:

Building tomorrow starts with you, and Granite knows that you can excel only if we support you in and out of the workplace. That is why we offer a broad benefits package that includes paid holidays, sick leave, medical, dental, vision, life insurance, disability insurance, flexible spending plans, as well as special programs for musculoskeletal health, mental wellness, and more.

Salaried employees may choose from two PPO medical plans through Anthem BlueCross, including our most popular plan, for which 100% of the premium is paid by Granite for eligible employees and dependents. Employees can also opt into a Health Savings Account (HSA) or a Flexible Spending Account (FSA).

As part of our investment in your future outside of the workplace, Granite provides a 100% match on the first 6% of eligible compensation that salaried employees defer into their 401(k) plans, which vests immediately.

Benefits may vary for positions located outside of the continental United States.

Base Salary Range:

$95,753.00 - $175,018.00

Pay may vary based upon relevant experience, skills, location, and education among other factors.

About Granite Construction Incorporated

Granite Construction Incorporated is a member of the S&P 400 Index and is the parent company of Granite Construction Company, one of the nation's largest heavy civil contractors and construction materials producers. Granite is a Drug-Free Workplace and Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, or any other protected characteristic.We consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.

For additional information on applicant/employee rights please clickhere.

Notice to Staffing Agencies

Granite Construction, Inc. and its subsidiaries ("Granite") will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Granite, including unsolicited resumes sent to a Granite mailing address, fax machine or email address, directly to Granite employees, or to Granite's resume database will be considered Granite property. Granite will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.Granite will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.Agencies must obtain advance written approval from Granite's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening.Granite will not pay a fee to any Agency that does not have such agreement in place.Agency agreements will only be valid if in writing and signed by Granite's Human Resources Representative or his/ her designee. No other Granite employee is authorized to bind Granite to any agreement regarding the placement of candidates by Agencies.

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