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Overnight Insurance Data Analytics Jobs in Virginia

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.

Insilico Logix

Data Analyst

Herndon, VA

$60K - $70K/yr

... Insurance - Immigration Support for OPT students and visa holders - Skills Enhancement Data Analytics Training Program is provided for selected candidates ** OPT students may also apply If you are ...

Tenacious Solutions

Data Analyst

Arlington, VA · On-site

$80K - $110K/yr

Support data and analytics requests by gathering business requirements, sourcing, analyzing, and ... In addition to offering a competitive salary we also offer: * health insurance * dental insurance ...

Sparks Group

HR Data Analyst (Contract)

Herndon, VA · Hybrid

$36 - $40/hr

You will perform data extraction, exploratory data analytics, and present your findings in ... insurance, paid and unpaid time off, and retirement and savings plans to qualifying employees.

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

... data analytics, robotics, and machine learning. • Ability to take and apply training in data ... Legal Insurance and Pet Insurance * Employee Assistance Program, fitness and wellness benefits, and ...

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

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

Sr. Insurance Analyst

National Cooperative Business Association

Crozet, VA • On-site

Other

Posted 21 days ago

Job description

The Senior Loan Analyst is an experienced individual contributor who independently manages a portfolio of loans with varying complexity. This role resolves the majority of issues without escalation, applies judgment to interpret and implement guidelines in non-standard situations, and proactively engages with stakeholders to drive timely and compliant outcomes. The Senior Loan Analyst also supports team effectiveness by providing informal mentorship and identifying opportunities for process improvement.
Role Responsibilities:

  • Independently manage and review a portfolio of loans with varying complexity, including Real Estate, Commercial, and SBA loans, analyzing annual insurance renewal documents.
  • Exercise professional judgment to independently resolve the majority of issues within assigned portfolios, escalating high-risk, complex, or non-routine situations as needed.
  • Evaluate insurance policies for compliance with loan documents, servicing agreements, and investor guidelines, interpreting requirements and applying them to non-standard scenarios.
  • Identify insurance deficiencies and proactively resolve issues directly with insurance agents, borrowers, and internal stakeholders, escalating only high-risk or exceptional matters.
  • Monitor cancellation notices and take independent action to ensure continuous insurance coverage is maintained across the portfolio.
  • Review insurance documentation for new loan originations and resolve compliance issues prior to closing, coordinating with relevant stakeholders as needed.
  • Maintain accurate and complete insurance data within McCracken and other internal systems, ensuring data integrity across assigned portfolios.
  • Support audits, loan sales, and special projects, independently handling assigned components and contributing insights.
  • Participate in cross-training and departmental initiatives to strengthen team capability and coverage.
  • Identify, recommend, and help implement workflow and process improvements based on day-to-day observations.
  • Complete all required compliance and cybersecurity training.
Minimum Qualifications:
  • 4-6 years of experience in property and casualty insurance, preferably within a lending or financial services environment.
  • Demonstrated experience supporting commercial real estate loans or related assets, with a solid understanding of loan structures and insurance requirements.
  • Proven ability to work independently, manage multiple priorities, and handle a portfolio of varying complexity.
  • Strong analytical, organizational, and communication skills, with the ability to interpret guidelines and apply sound judgment in resolving issues.
  • Proficiency using loan servicing systems (e.g., McCracken/Strategy) to manage insurance data, track compliance, and support portfolio-level activities is expected.
  • Demonstrates ownership of moderately complex issues, resolves escalations effectively, works proactively, and supports team members through mentoring and guidance.
Education:
  • High school diploma or GED required.
  • Associate degree or bachelor's degree preferred, particularly in Business, Finance, Insurance, Risk Management, Real Estate, or a related field.
Licenses/Certifications:
Relevant coursework, training, or progress toward professional designations in the following areas is preferred:
  • Associate in General Insurance (AINS) or similar foundational insurance coursework
  • Mortgage Bankers Association (MBA) or Real Estate Finance programs
  • Federal Emergency Management Agency (FEMA) and/or National Flood Insurance Program (NFIP) flood insurance training
  • Insurance, risk management, or compliance coursework (e.g., via The Institutes)

AA/EOE
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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