1

Overnight Insurance Data Analytics Jobs in Colorado

Clinical Data Engineer

Denver, CO · On-site

$114K - $137K/yr

Provide data analytics report development for specific projects as needed. * Develop data ... Insured group health, dental, and vison plans (Employer covers 100% of the cost for dental and ...

Senior Data Manager

Denver, CO · On-site

$69.25 - $92.75/hr

Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics ... insurance, short-term and long-term disability plans, vacation time and holidays. Visit us at www.

Data Scientist

Aurora, CO · On-site

$50K - $120K/yr

Building and maintaining custom data analytics to automate and scale signals analysis * Experience ... Additional Voluntary Life Insurance Coverage Available * Employee Assistance Program * Travel ...

Building and maintaining custom data analytics to automate and scale signals analysis * Experience ... Additional Voluntary Life Insurance Coverage Available * Employee Assistance Program * Travel ...

Sr. Data Analyst Denver, CO

Denver, CO · On-site

$85.50 - $104/hr

Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance programs ... The associate's primary focus will be supporting and advancing initiatives across analytics and ...

... insurers. Key responsibilities include, but are not limited to: * Financial Modeling: Build and maintain financial models to estimate the financial impact of contract negotiations. * Data Analytics ...

Data engineer

Denver, CO · On-site

$117K - $141K/yr

ALKEME Insurance is seeking a highly skilled data engineer to join their team in Denver, CO. The ... collaborating with data scientists and analysts to ensure data quality and integrity.

Showing results 41-60

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:

Clinical Data Engineer

Carina Health Network

Denver, CO • On-site

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Description:

We're Hiring: Clinical Data Engineer – Remote, Must Live in State of Colorado


Join Carina Health Network and help us make Colorado communities healthier!

Are you passionate about population health and interested in improving patient experience and outcomes? We support community health organizations across Colorado with technology, data, and resources that help people get the care they need, when and where they need it. If you're looking for a mission-driven organization where your work has a real impact in real communities, Carina could be the right place for you.


At Carina Health Network, we’re transforming community health by helping our members deliver proactive, data-informed, and whole-person care that drives measurable impact. Our work helps people with chronic conditions like diabetes and high blood pressure stay healthier, ensure older adults get regular check-ups, and identify mental health needs early. We help reduce unnecessary emergency room visits by connecting people with the right care at the right time.


Through our value-based care programs, we empower frontline care teams to improve outcomes while earning fair, sustainable reimbursement. By saving money and reinvesting in health services, we strengthen the systems that care for Colorado’s underserved populations, making a meaningful difference for both care teams and the patients they serve.

Join us in reimagining the future of health care, where your work truly matters.


What You’ll Do

The Data Operations department provides data management, integration, and reporting services for multiple external and internal consumers. The Clinical Data Engineer will be responsible for all aspects of clinical data management that support Carina’s production services. Candidate must have experience in Microsoft SQL database development, clinical data integration, ETL (extract, transform and load) tools and methods, analytics, reporting, and documentation.

  • Provide development and maintenance support for clinical data integrations between systems.
  • Successfully utilize data standards such as HL7, FHIR, CCD, CCR and claims data.
  • Integrate standard healthcare code sets like LOINC, ICD9/10, CPT4 and SNOMED.
  • Provide development and maintenance support for the EDW and supporting databases.
  • Provide automated solutions whenever possible and proactively suggest alternative solutions.
  • Assist in the development of new databases and associated processes as necessary.
  • Provide data analytics report development for specific projects as needed.
  • Develop data validation reports and analysis where applicable.
  • Develop technical documentation of data integrations and processes.
  • Communicate and collaborate with other team members and clients to develop innovative data solutions.
  • Utilize up-to-date knowledge of databases and data quality best practices to produce effective solutions.
  • Remain knowledgeable in healthcare data standards, measures, and code sets as well as applicable data privacy practices and legal requirements.
What We’re Looking For
  • Bachelor's degree in data analytics, public health, or a related field preferred or equivalent in experience
  • Works in a SQL environment, especially with data transformation, stored procedures, and query development.
  • Knowledge of data warehousing best practices, concepts and processes.
  • Strong analytical and problem-solving skills, with demonstrated change management experience.
  • Demonstrated ability to set and meet project timelines and deliverables.
  • Effective interpersonal and communications skills with the ability to interact with various levels of personnel.
  • Is flexible, organized, self-directed, able to prioritize multiple tasks, and able to manage a full workload.
  • Experienced in Microsoft Office and Microsoft Operating Systems.
  • Ability to work with minimal supervision and maximum accountability.
  • Strong business and technical writing abilities.
  • Experience working in Snowflake Cloud Database.
  • Experience in Python, JavaScript, and/or C#, and familiarity with REST API connections.
  • Knowledge of IHI triple aim, clinical quality improvement, and primary care operations and workflows.
  • Ability to attend conferences and workshops for further education to expand and improve management skills.
  • Fluency in written and spoken English.
Why You’ll Love Working Here
  • Insured group health, dental, and vison plans (Employer covers 100% of the cost for dental and vision)
  • Medical and dependent care flexible spending account options
  • Employer contributions $900 annually towards a Health Reimbursement Employer (HRA) or Health Savings Account (HSA), depending on the health plan selected
  • 401k retirement plan with up to a 4% employer contribution match
  • 100% employer-paid life, AD&D, short-term, and long-term disability plans paid for employees
  • Free 24/7 access to confidential resources through an employee assistance program (EAP)
  • Voluntary benefit plans to complement health care coverage, including accident insurance, critical illness, and hospital indemnity coverage
  • 17 days of paid vacation within one year of service
  • 12 paid sick days accrued by one year of service
  • 14 paid holidays (which includes two floating holidays)
  • One paid volunteer day
  • Employer-paid programs/courses for professional growth and development
  • Cell phone and internet reimbursement
  • Competitive salary and full benefits
  • Annual, all expenses paid staff retreat
  • Flexible work (remote or hybrid)
  • Supportive, mission-driven team
  • Opportunities to learn and grow

EEO Statement

Carina Health Network provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.


This job will be posted until 05/15/2026 or until position is filled.

Requirements: