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Overnight Insurance Data Analytics Jobs in Virginia

Arka Infotech Inc

Healthcare Data Architect

Richmond, VA · On-site

$63 - $81.25/hr

... Insurance enterprise data architecture for operational data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data marts. o Perform the detailed data analysis.

Boeing

Data Analytics Lead

Arlington, VA

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

New

Boeing

Data Analytics Lead

Arlington, VA

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

New

GDIT

Data Analytics Engineer

Chantilly, VA · On-site +1

$142K - $169K/yr

Yes As a Data Analytics Engineer, you will: * Evolve Extract, Transform, Load (ETL) pipelines of ... insurance are provided or available. We regularly review our Total Rewards package to ensure our ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays. Apply Now Refer to a ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

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Overnight Insurance Data Analytics information

What are 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, and why are they important?

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 Virginia? The most popular types of Insurance Data Analytics jobs in Virginia are:
Overnight Insurance Data Analytics jobs near you

Healthcare Data Architect

Arka Infotech Inc

Richmond, VA • On-site

$63 - $81.25/hr

Contractor

Medical

Posted 26 days ago

Job description

Job Description
 Position:                      Healthcare Data Architect
Location:                     Richmond, VA
Length:                         3 months- w/option for extension
MUST HAVE Healthcare Payer experience from one of the following companies: Aetna, Cigna, Humana, Kaiser Permanente, United Healthcare, Anthem, BCBS, Horizon, Champus/Tricare, WellPoint, HCSC, TUFTS, Harvard Pilgrim, CDPHP, Oxford HP, Health first NY & NJ, Fallon, Americhoice, NHP. Possible Options- Healthcare consulting vertical experience.- Accenture, Slalom, PWC, KPMG, Cerner, etc.
Healthcare insurance data knowledge specifically in Coordination of Benefits, Subrogration and Medicare Secondary Payer
Requirements:
1.     Must have 5-7yrs experience developing Healthcare Insurance enterprise data architecture for operational data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data marts.
o    Perform the detailed data analysis. Verify natural keys through SQL queries against the source databases.
o    Develop data modeling standards.
o    Develop the conceptual data model(s) & logical data model(s).
o    Proficient with one or more leading data modeling tools such as Erwin, Enterprise
2.     Must have previous experience developing Healthcare Insurance data analysis including: { This person will need to identify technical gaps and document opportunities for process automation.}
o    Participating in technical interviews with Technical Analysts and End Users; IT resources across different job functions
o    Leading identification of current state technical landscape and technical requirements
o    Working with client enterprise architects as required to validate current standards
o    Applying appropriate filters to analysis (best practices, industry trends and Vendor intellectual property)
o    Leading the articulation of the future state technical environment needs as well as the technical gap analysis
o    Providing architectural recommendations to align business and claim recovery strategy with the future state program
o    Providing input into the vision and roadmap development process
3.     Assist with cost containment systems, applications, data stores and data flows.
4.     Must be able to interface effectively with all levels of the organization.
5.     Must have excellent interpersonal skills and be strong and effective communicator
6.     Good writing skills and ability to multi task in the support of this


Qualifications
BS Degree


Additional Information

All your information will be kept confidential according to EEO guidelines.

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