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Overnight Insurance Data Analytics Jobs in Silver Spring, MD

BryceTech

Data Analyst

Washington, DC · On-site

We specialize in systems engineering, advanced analytics, R&D programs, and strategic advisory ... life & disability insurance policies, 401(k) plan with company match, and an educational ...

BryceTech

Data Analyst

Washington, DC

We specialize in systems engineering, advanced analytics, R&D programs, and strategic advisory ... life & disability insurance policies, 401(k) plan with company match, and an educational ...

Interclypse Inc.

Data Analyst

Annapolis Junction, MD · On-site

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

Axiologic Solutions LLC

Data Analyst

Washington, DC · On-site

$140K - $160K/yr

Minimum 12 years of experience with data analytics, with at least a portion of that experience ... Depending on position and eligibility, benefits may include medical, dental, and vision insurance ...

Axiologic Solutions LLC

Data Analyst

Washington, DC · On-site

$130 - $150K/hr

Minimum 12 years of experience with data analytics, with at least a portion of that experience ... Depending on position and eligibility, benefits may include medical, dental, and vision insurance ...

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All JobsInsurance Data Analytics JobsOvernight Insurance Data Analytics JobsOvernight Insurance Data Analytics Jobs in Silver Spring, MD

Overnight Insurance Data Analytics information

See Silver Spring, MD salary details

$158.2K

$184.8K

$208.8K

How much do overnight insurance data analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for overnight insurance data analytics in Silver Spring, MD is $184,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $171,100.00 and $198,000.00 per year, depending on experience, location, and employer.

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 cities near Silver Spring, MD are hiring for Overnight Insurance Data Analytics jobs? Cities near Silver Spring, MD with the most Overnight Insurance Data Analytics job openings:
Overnight Insurance Data Analytics jobs near you
HR Data Analytics & Reporting Specialist (HRDARS) - SME with Security Clearance

HR Data Analytics & Reporting Specialist (HRDARS) - SME with Security Clearance

Contact Government Services, LLC

Washington, DC • On-site

$87K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

HR Data Analytics & Reporting Specialist (HRDARS) - SME Work Location: Washington, DC Employment Type: Full-Time, Expert-Level Department: Administrative and Logistics Support CGS is seeking a skilled HR Data Analytics & Reporting Specialist (HRDARS) - SME to support mission-critical operations for a federal client. Skills and attributes for success: * Analyze HR data, develop reports and dashboards, and identify workforce trends to support leadership decisions. * Collaborate with cross‑functional teams and stakeholders. * Analyze operational challenges and recommend improvements. * Develop documentation, reports, and deliverables supporting mission objectives . * Support continuous improvement, compliance, and operational efficiency. Qualifications: Minimum of Recognized subject matter expert with exceptional expertise and leadership in the field. Active DoD Top Secret/SCI. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: [email protected] #CJ $87,000 - $175,000 a year 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.

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