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Overnight Insurance Data Analytics Jobs in Colorado

Renewal by Andersen

Claims and Risk Analyst

Denver, CO · On-site

$30/hr

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 ...

SumUp

Data Analytics Engineer - Boulder, Colorado

Boulder, CO · On-site +1

$100K - $120K/yr

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) ...

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 ...

Eliassen Group

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 ...

Strive Health

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 ...

Surgery Partners

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 ...

Surgery Partners

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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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 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:
Overnight Insurance Data Analytics jobs near you

JEI - Corporate Data Analytics Engineer

JACOBS ENTERTAINMENT, Inc.

Lakewood, CO • On-site

$135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Description
A Legacy of Excellence
Entertaining Your World
Jacobs Entertainment, Inc. (JEI) is a developer, owner and operator of gaming and entertainment facilities across the United States. Core to the company's value is our commitment to ethical leadership, outstanding training, and open employee communication.
Jacobs Entertainment is currently in search of a "Corporate Data Analytics Engineer" for our corporate office in Lakewood. If you are seeking an opportunity where your contributions and skills will be both valued and your ability to influence change will be immediate, we would love to speak with you.
Our employees are supported with a comprehensive benefits program that include the following:
  • $200 Referral Bonus
  • Tuition Reimbursement
  • Ongoing learning and development programs
  • Work towards your future advancement within the company-most of our supervisors and managers are promoted from within
  • 7 paid Holidays
  • 80 hours of Vacation after 1 year of employment
  • 48 Hours of Paid Sick Leave available immediately and renews annually
  • We offer a variety of affordable medical, dental, vision and flexible spending account plans after 60 days
  • Employee Assistance Program FREE of charge
  • Company paid Life Insurance and AD&D
  • Matching 401K program after 90 days

Essential Job Responsibilities and Duties:
  • Design, build, and maintain robust star-schema data models and SQL views within the Enterprise Data Warehouse (EDW) to support regional operations
  • Build and optimize semantic layers, metadata packages, definitions, and security access models to ensure consistent metrics across the organization
  • Consolidate data structures across disparate regional properties to create a unified view of property performance, guest behavior, and revenue tracking
  • Author clean, well-documented, and performant SQL queries to streamline data pipeline processing and minimize warehouse query runtimes
  • Proactively monitor data pipelines and ETL (Extract, Transform, Load) processes, troubleshooting and resolving integration failures, data quality issues, or pipeline bottlenecks to ensure the timely and accurate delivery of data
  • Feature-engineer dataset tables and prepare structured data views to feed predictive artificial intelligence and machine learning models
  • Partner with the analytics team on effective use of AI across the department, including forecasting (covers, occupancy, gaming volume, labor demand), predictive modeling (customer lifetime value, churn, reinvestment), and other applied use cases; evaluate tools, advise on appropriate techniques, and help translate business questions into well-scoped AI/ML problems
  • Integrate, map, and model guest journey data from the marketing CRM, including omni-channel campaigns, segmentation performance, email open/click behaviors, and promotional attribution
  • Model and interpret core gaming metrics, including Slot/Table Drop, Win/Hold percentages, Theoretical Win (Theo), and coin-in data, in partnership with operations and finance leadership
  • Build and maintain a working understanding of Property Management Systems (PMS) data, including ADR (Average Daily Rate), RevPAR (Revenue Per Available Room), occupancy tracking, and multi-property booking behaviors
  • Map data from Player Tracking Systems, managing rewards, tier progressions, reinvestment rates, and marketing offer redemptions
  • Model food and beverage transaction data from InfoGenesis POS, including check-level detail, menu mix, voids, and comps, to support outlet performance and F&B analytics
  • Integrate workforce and payroll data from UKG Labor / Kronos, applying Slowly Changing Dimension techniques so labor history (roles, pay rates, property assignments) is preserved for accurate hourly labor efficiency and historical reporting

Skills, Education and Other Requirements:
  • 3-5 years of experience in data modeling, analytics engineering, or business intelligence engineering
  • Advanced SQL mastery, with expert-level ability to write complex analytical queries, stored procedures, database indexes, and performance-tuning optimizations
  • Strong foundational knowledge of relational databases, dimensional modeling, and Enterprise Data Warehouse infrastructure
  • Familiarity or hands-on experience using erwin Data Modeler to view, interpret, or contribute to enterprise-level logical and physical data diagrams
  • Practical experience building enterprise semantic layers, data packages, or structured metadata layouts for enterprise reporting platforms (e.g., IBM Cognos, Looker, or Power BI)
  • Bachelor's Degree in a Quantitative, Computer Science, Information Systems, or related field, or equivalent work experience
  • Ability to work effectively from a designated regional location, with a strong geographic preference for Reno, NV or Denver, CO
  • Strong analytical skill and aptitude for working with data and logical thinking
  • Attention to detail
  • Ability to manage multiple projects at the same time
  • Ability to write detailed reports and correspondence
  • Must possess ability to read and interpret documents such as internal controls and procedure manual
  • Ability to obtain a Colorado Gaming License
  • Identification that establishes identity
  • Identification that establishes the right to work in the United States

Machinery, Work Equipment, Programs, Software, Hardware Used
  • Computer
  • Agilysys InfoGenesis POS
  • erwin Data Modeler
  • Hotel PMS: Oracle Opera, Infor HMS
  • BI: IBM Cognos Analytics (Framework Manager, Data Modules)
  • SQL / Enterprise Data Warehouse (EDW)
  • UKG Labor / Kronos
  • MS Office
  • IGT Advantage Gaming System preferred (Aristocrat Oasis or Light & Wonder also accepted)
  • dbt (Data Build Tool) preferred

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