ZipRecruiter

Log In

1

Overnight Insurance Data Analytics Jobs in Virginia

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ... Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ... Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ...

Arka Infotech Inc

Healthcare Data Architect

Richmond, VA

$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.

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a ... Comprehensive health, dental, and vision insurance * 401(k) with company match * Paid time off (PTO ...

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ... Data Analysis * Python * SQL * Data Engineering * Data Engineering What you can expect from us:

Gnw

Data Analytics Intern - Summer 2027

Richmond, VA

$23 - $26/hr

This internship offers an excellent opportunity to gain hands-on experience in the insurance and ... Perform data mining and analyzing of structured and unstructured data associated with claims ...

KPMG

Manager, Oracle Data & Analytics

Ashburn, VA · On-site

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

next page

Showing results 1-20

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

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.

Is 40 too late for data science?

For an Overnight Insurance Data Analytics role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, and gaining relevant certifications. Age should not deter pursuing a data analytics career at 40 or older.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst, including an Overnight Insurance Data Analytics professional, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. AI tools are used to enhance efficiency, but they do not fully replace the need for skilled analysts who understand business context and can communicate findings effectively.

Can a data analyst work at night?

A data analyst, including those working in insurance data analytics, can work night shifts if the employer offers overnight or flexible schedules. Some roles require 24/7 coverage or support for global operations, making night work possible, especially in environments with real-time data monitoring or client support. Skills in remote collaboration tools and time management are helpful for night shift work.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and insights that help improve underwriting, pricing, and fraud detection.
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

Lead Software Developer, Data Analytics

Mitre

Mclean, VA

Full-time

Posted 18 days ago

MITRE Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

154th of 438 rated engineering

Job description

Join the MITRE Data Analytics team where you will provide software development, algorithm development, and data analytics (to include big data analytics, data mining, and data science) to enable data-drive decisions and insights. Experience with analytic techniques and methods (e.g., supervised and unsupervised machine learning, link analysis, and text mining) as well as software languages is a must. Knowledge of data analytics in the heathcare industry. Software languages and big data technologies needed include: Java, Python, R, C#, C, SAS, analytic engines, Hadoop, parallelized analytic algorithms, and NoSQL and massively parallel processing databases. The successful candidate will have the ability to formulate problems, prototype solutions, and to analyze result.
Key Functions: 
• Formulate data analytic problems
• Get and cleanse data
• Employ analytic methods and techniques
• Develop analytic algorithms 
• Analyze data
• Predictive Analytics
• Analyze CMS Health data
• Analyze Medicare Fraud Data
Qualifications:
Hands-on software development skills (Java, R, C++, C#, python, Javascript) with analytic applications and technologies, getting and cleansing data, data storage and retrieval (relational and NoSQL), data analytics and visualization, and cloud-based technologies. Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, and Pig is a plus. Experience analyzing Medicare Fraud data and CMS health data is needed for some projects
Clearance Statement:
Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Only US citizens are eligible for a security clearance. For this position, MITRE will consider only applicants with security clearances or applicants who are eligible for security clearances.
Travel: 
This position will require overnight travel up to 10% of the time as well as some local travel.
Do you meet the above requirements and are interested in learning more about this opportunity? Then apply today or contact us at 571-765-1420 or ashley.tonkinson@MITREcareers.com.
PPR Talent Management Group partners with Brightmove to ensure that only your professional info is safely shared with companies, and your private life stays private. By joining you are indicating that you have read and agree to the Brightmove  Privacy Policy.

What MITRE Corporation employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

MITRE logo

About MITRE

Sourced by ZipRecruiter

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

Social media

FacebookTwitter

View All MITRE Jobs