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Overnight Insurance Data Analytics Jobs in Virginia

Perform descriptive, diagnostic, and basic predictive analytics to identify trends, relationships ... retirement plans, insurance programs, and education and training assistance. EEO Race/Sex ...

Overview Amyx is seeking to hire a Data Analyst to join our Defense Logistics Agency program ... Basic & Voluntary Life Insurance * Wellness Program * PTO * 11 Holidays * Professional Development ...

Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Business, or related ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Business, or related ... Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ...

Senior Data Analyst

Arlington, VA · On-site

$120K - $140K/yr

Apply predictive analytics to evaluate future business outcomes and support long-term planning ... In addition to offering a competitive salary we also offer: * health insurance * dental insurance ...

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 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:

ON-SITE POSITION: Power BI/Data Analytics/Dashboard Specialist - DCAA Financial Common Operating Pic

Redwood Strategy Group, Inc.

Fort Belvoir, VA • On-site

$100K - $150K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 20 days ago


Job description

Redwood Strategy Group (RSG) is a minority owned, Economically Disadvantaged Woman-Owned Small Business (EDWOSB) founded on over 17 years of thought-to-action leadership supporting military departments, Department of Defense, and agencies across the U.S. Federal Government with transformation, strategy, and operations. At RSG, we are committed to our company foundation - our employees. The minute you start working here, you become an integral part of our team, our future, and you will play a key role in the continued growth of our company.
Innovative Solutions. Cultivated Talent. Accelerative Success.
Position Overview
Redwood Strategy Group is searching for a Power BI/Data Analytics/Dashboard Specialist to
provide advanced analytics, reporting, and dashboard development in support of the Defense Contract Audit Agency's (DCAA) Financial Common Operating Picture (FCOP) Phase III initiative. This position will play a critical role in enabling data-driven decision-making, enhancing the transparency of financial and operational performance, and supporting audit readiness and program success through intuitive visualization and actionable insights.
Redwood is a specialized management consulting firm that engages experienced professionals and consultants to support the federal government with strategic project execution, financial process optimization, automation, and advanced data analytics. Through innovative solutions, they develop and implement strategies to optimize operations for defense and federal agencies, delivering critical improvements to financial oversight and operational effectiveness.
Key Responsibilities
The Power BI/Data Analytics/Dashboard Specialist will serve as the primary resource for developing, maintaining, and optimizing Power BI dashboards and analytics solutions in direct support of the DCAA FCOP Phase III program. The incumbent will partner closely with program leadership, functional subject matter experts, and stakeholders to design and implement data solutions that drive insight, improve reporting accuracy, and facilitate efficient program management.
• Additional program-specific responsibilities as required by the DCAA FCOP Phase III
Performance Work Statement (PWS):
• Develop, configure, and maintain Power BI dashboards, reports, and data models tailored to the
needs of the DCAA FCOP Phase III initiative.
• Collaborate with program managers, financial analysts, and change management leads to gather
reporting requirements and translate them into effective analytics solutions.
• Integrate multiple data sources, including financial, operational, and audit-related data, to create unified reporting environments.
• Leverage advanced analytics techniques to uncover trends, highlight risks, and enable proactive
decision-making across the FCOP program.
• Optimize and automate recurring reporting processes to increase efficiency and ensure timely,
accurate delivery of program deliverables.
• Support data quality assurance activities, including data cleansing, validation, and
documentation.
• Provide subject matter expertise in the visualization of complex data sets, ensuring outputs are
clear, actionable, and tailored for federal stakeholders.
• Document dashboard/report specifications, update user guides, and provide ad hoc user support
and training as needed.
• Ensure compliance with all security, program, and deliverable requirements as outlined in the
PWS.
• Participate in recurring meetings, workshops, and working sessions; prepare and submit meeting minutes and action items when required.
$100,000 - $150,000 a year
Required Qualifications
• Bachelor's Degree
• More than 7 years of demonstrated experience developing dashboards and analytics solutions
using Power BI or similar business intelligence tools, preferably in a federal or large commercial
environment
• US citizenship required (dual/triple citizenship not permitted)
• Ability to obtain and maintain IT III clearance (or higher) as required by the DCAA contract
Desired Skills
• Expertise in Power BI, including DAX, Power Query, and advanced data modeling
• Experience integrating data from ERP, financial, or audit management systems
• Familiarity with federal reporting requirements and standards, especially in defense or audit
environments
• Proficiency in data visualization best practices and user-centric dashboard design
• Strong problem-solving skills with the ability to translate business requirements into technical
solutions
• Excellent written and verbal communication skills
• Ability to provide training and support to non-technical users and stakeholders
By submitting my application, I declare that all the above information is correct and accurate.
RSG offers a first-class total rewards package that includes competitive salaries, medical, dental and life insurance plans, 401k matching, generous leave programs, tuition reimbursement, professional development; and more!
RSG is an equal opportunity employer/veteran/disability/41 CFR 60-1.4. We are committed to providing equal opportunity in all employment-related activities without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, gender identity or expression, veteran status or any other basis prohibited by law or RSG policy. Reasonable accommodation, based on disability, religious observances, or other designated areas as defined by law will be considered in accordance with applicable law and RSG policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.