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Overnight Insurance Data Analytics Jobs in Colorado

StarRez

Product Manager, Data & Analytics

Denver, CO · On-site +1

The Role As the Product Manager, Data & Analytics, you will define and execute the strategy for ... Full benefits including health care, paid time off, life insurance, and 401k plan with company ...

TEKsystems

Data Analyst

Colorado Springs, CO

$40 - $45/hr

Create and maintain documentation for data workflows, pipeline logic, and analytics processes ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

TEKsystems

Data Analyst

Colorado Springs, CO

$40 - $45/hr

Create and maintain documentation for data workflows, pipeline logic, and analytics processes ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Cymertek

Data Analyst

Aurora, CO · On-site

... Analytics, Operations Research, Finance, Engineering, etc. ALTERNATE EXPERIENCE General comment on ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Cymertek Corporation

Data Analyst

Aurora, CO · On-site

$65 - $95/hr

... Analytics, Operations Research, Finance, Engineering, etc. ALTERNATE EXPERIENCE General comment on ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

Experience: 2-4 years of experience in data analytics, preferably within the supply chain ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

Experience: 2-4 years of experience in data analytics, preferably within the supply chain ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

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

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 Colorado?

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

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

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

Overnight Insurance Data Analytics jobs near you

Data Analytics and Regulatory Reporting

Charles Schwab

Lone Tree, CO • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

The Regulatory Reporting team, part of Schwab’s Corporate Controller organization, is responsible for delivering accurate and timely financial, regulatory, risk, and performance reporting for the consolidated company and its subsidiaries. As Manager, Financial and Regulatory Reporting, you will help strengthen the data, processes, and controls that support reports provided to federal regulators and the investing public.

In this role, you will own the team’s change management process, partner with technology and business teams to automate reporting workflows, and use data analytics to identify trends, investigate anomalies, and improve data quality. You will evaluate complex reporting processes, make informed decisions about control and efficiency improvements, and help integrate new products into established reporting frameworks.

Your ability to solve problems, adapt to evolving requirements, and build collaborative relationships across product, technology, risk, accounting, and other business areas will be critical to success. Through this work, you will improve reporting accuracy, strengthen data governance, and help create scalable solutions that support Schwab’s regulatory obligations and long-term growth.

What you have

Required qualifications

  • Bachelor’s degree or higher in Accounting, Finance, Computer Science, Data Engineering, or a related field
  • Banking or financial services experience with demonstrated knowledge of banking products
  • Proficiency with Microsoft Office Suite, SQL, Alteryx, and Tableau
  • Demonstrated Data Analytics skills, including the ability to identify trends, investigate anomalies, and translate data into actionable insights
  • Strong Communication skills, including experience developing and delivering presentations to management
  • Demonstrated Problem Solving and Decision Making skills when evaluating complex data, reporting issues, and process risks
  • Ability to independently prioritize and manage daily responsibilities while meeting critical reporting deadlines

Preferred qualifications

  • Experience supporting Financial Reporting, Regulatory Reporting, or risk reporting processes
  • Experience applying Data Governance practices to improve data quality, reporting accuracy, and control effectiveness
  • Experience with Change Management in a regulated or business-led development environment
  • Demonstrated Process Improvement skills, including evaluating workflows and implementing scalable efficiency improvements
  • Ability to build Cross-Functional Collaboration across technology, product, risk, accounting, and business teams
  • Adaptability when responding to changing regulatory requirements, reporting needs, technology, or business priorities

In addition to the salary range, this role is eligible for bonus or incentive opportunities.


What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

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