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Overnight Insurance Data Analytics Jobs in Colorado

Senior Data Analytics Engineer

Boulder, CO · On-site +1

$109K - $149K/yr

As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable ... Employees can choose from HSA, FSA, and traditional insurance options for medical, dental, and ...

Associate in Insurance Data Analytics (AIDA) - or willingness to pursue certification. - Experience communicating with all levels in an organization. Benefits - Medical, Dental, and Vision Insurance ...

Data Analytics Engineer - Boulder, Colorado Full-time | Boulder, CO | No visa sponsorship available ... Health and life coverage: group medical coverage, plus life insurance * Financial security: 401(k) ...

... 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 ...

Data Analyst

Almont, CO · On-site

$60 - $70/hr

Experience Requirements: * 7+ years of experience in analytics, data engineering, or analytics ... insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If ...

Manager, Analytics

Denver, CO · On-site

$99K - $124K/yr

Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance programs ... Lead, mentor, and develop a team of data analysts focused on delivering enterprise-level analytics ...

Clinical EHR Data Analyst

Durango, CO · On-site

$24.87 - $49.85/hr

BSN required; BS in Data Analytics, Data Science, CIS, or equivalent experience preferred ... insurance with 401k with employer matching Animas Surgical Hospital is a drug free workplace and ...

Clinical EHR Data Analyst

Durango, CO · On-site

$24.87 - $49.85/hr

BSN required; BS in Data Analytics, Data Science, CIS, or equivalent experience preferred ... insurance with 401k with employer matching Animas Surgical Hospital is a drug free workplace and ...

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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 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?

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 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:

Senior Data Analytics Engineer

Propelus

Boulder, CO • On-site, Remote

$109K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Propelus® simplifies workforce compliance management across healthcare. Our innovative technology and strategic partnerships empower millions of professionals, their employers, and regulators to work together, creating a connected and efficient healthcare ecosystem.

As a trusted leader for over 20 years, Propelus has focused on bringing more good into the lives of the people and organizations serving healthcare. We deliver seamless compliance solutions to millions. We leverage market-leading technology and essential data to simplify complex operations, reduce risk, and champion a safer, healthier, and happier workforce.

Job Summary: As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights to support data-driven decision-making across the company. You will work independently on assigned projects, collaborating with data scientists, product managers, and engineers to build, maintain, and improve our data infrastructure and analytics pipelines. Your work will contribute directly to the efficiency and effectiveness of our compliance management technology, enabling us to better serve our clients and drive innovation. You will contribute to the delivery of key datasets and reports, ensuring data quality and accessibility.

Key Responsibilities include, but are not limited to:

  1. Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse.

  2. Design, build, and optimize data models to support analytical needs and reporting requirements.

  3. Collaborate with data scientists to implement and deploy machine learning models and analytical solutions.

  4. Monitor data quality and identify and resolve data integrity issues.

  5. Contribute to the development of data documentation and metadata management practices.

  6. Work with stakeholders to understand their data needs and translate them into technical requirements.

  7. Assist in the evaluation and implementation of new data technologies and tools.

  8. Participate in code reviews and contribute to the development of coding standards and best practices.

  9. Independently manage assigned tasks and projects, ensuring timely delivery and quality results.

  10. Proactively identify opportunities to improve data processes and systems.

Qualifications & Desired Skills:

  1. Bachelor\'s degree in Computer Science, Data Science, Statistics, or a related field.

  2. 4+ years of experience in data engineering, analytics engineering, or a similar role.

  3. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).

  4. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related data warehousing services (e.g., Snowflake, Redshift, BigQuery).

  5. Familiarity with data testing frameworks.

  6. Experience with ETL tools and techniques (e.g., Apache Airflow, dbt).

  7. Solid understanding of data modeling principles and data warehouse architecture.

  8. Strong analytical and problem-solving skills.

  9. Experience with at least one programming language (e.g., Python, Java).

  10. Good communication and collaboration skills.

  11. Proficiency in using Git for version control and collaboration on codebase.

Benefits and Perks for Propelus employees include but are not limited to:
  • Awarded one of BuiltIn\'s 2025 Best Places to Work and honored as a Silver Stevie® Award Winner in the 2025 Stevie Awards For Great Employers.

  • Professional development allowance to help you grow in the ways that mean the most to you.

  • Flexibility for balancing work with the rest of life and ample PTO, including paid time off for volunteering, your birthday, and becoming a new parent.

  • Check us out for yourself at our careers page or our Propelus culture Instagram accounts.

For US Employees:

  • 401K with company matching, as well as financial planning education and resources.

  • Employees can choose from HSA, FSA, and traditional insurance options for medical, dental, and vision coverage for themselves and dependents.

  • Lifestyle Spending Account (LSA): We support personal well-being by offering an annual lifestyle spending account that you can use for what matters most to you—whether it’s a gym membership, a meditation app, WFH equipment, or fresh produce delivered to your door.

For LATAM Employees:

  • Your health is our top priority! We cover 100% of your health insurance premiums. Our plans include national and international coverage, so you\'re protected no matter where you are.

  • Propelus Flex Club: Our flexible benefits platform gives you monthly points to redeem on what you need most. Plus, you\'ll get access to exclusive discounts just for being part of our team.

  • We\'ve got you covered with a life insurance policy, paid 100% by the company. You can also add your beneficiaries at an exclusive, discounted rate.

We are an equal opportunity employer and value diversity at Propelus. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Candidates from all backgrounds are encouraged to apply.

Full-time positions are scheduled to work 40 hours per week, M-F unless required otherwise by projects. Part-time positions are scheduled to work a maximum of 30 hours per week. Equipment, benefits, and perks are not provided to part-time or temporary employees.