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Overnight Insurance Data Analytics Jobs in Silver Spring, MD

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 ...

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 ...

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site +1

Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS ... Basic & Voluntary Life Insurance * Wellness Program * PTO * 11 Holidays * Professional Development ...

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:

Calibre CPA Group

Data Analyst

Bethesda, MD

$80K - $95K/yr

Occasional local or overnight travel as needed. REQUIRED EDUCATION AND EXPERIENCE * Bachelor's degree in Data Analytics, Accounting, Finance, Information Systems, Statistics, or a related field * Two ...

Calibre CPA Group

Data Analyst

Bethesda, MD · On-site

$80K - $95K/yr

Occasional local or overnight travel as needed. REQUIRED EDUCATION AND EXPERIENCE * Bachelor's degree in Data Analytics, Accounting, Finance, Information Systems, Statistics, or a related field * Two ...

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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 13, 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
Senior Analyst, Risk Management Data Analytics

Senior Analyst, Risk Management Data Analytics

Marriott

Bethesda, MD • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Marriott International rating

6.4

Company rating: 6.4 out of 10

Based on 1,173 frontline employees who took The Breakroom Quiz

51st of 106 rated hotels

Job description

JOB SUMMARY 

The Senior Analyst position supports the Insurance team and Risk Management department by transforming large, complex data sets into meaningful insights that enable actional business decisions, strengthen risk mitigation efforts, and improve loss analysis across the organization. This role partners with internal stakeholders across Claims, Finance, Global Safety & Security, and Operations to develop dashboards, reports, and analysis that identify loss trends, measure program performance, and support data-driven action planning. The ideal candidate combines strong analytical capability, technical reporting skills, business curiosity, and the ability to communicate complex information clearly to both technical and non-technical audiences. 

 

CANDIDATE PROFILE  

EDUCATION & EXPERIENCE 

Required 

  • 3+ years of professional experience in data analytics, business intelligence, insurance, risk management, finance, claims, or a related analytical function. 
  • Bachelor's degree required in Business Administration, Finance, Accounting, Risk Management, Insurance, Data Analytics, Information Systems, Statistics, or a related field. 
  • Experience with advanced Microsoft Office, Power BI, and database tools to extract, analyze, and report data from multiple sources including risk management, claims, and finance platforms.  
  • Experience working with large data sets, reconciling data from multiple sources, identifying trends, and preparing actionable reports for business stakeholders. 

Preferred 

  • Experience in hospitality. 
  • Experience developing dashboards, automated reports, and executive summaries. 
  • Hybrid to Marriott International Headquarters. 
  • Microsoft Certified: Power BI Data Analyst Associate or other relevant data analytics, insurance, or risk management credentials. 

 

CORE WORK ACTIVITIES  

  • Design, develop, and maintain data processes, models and recurring reports to support enterprise-wide risk monitoring, insurance program analysis, and management decision-making. 
  • Develop and analyze key metric reports comparing results across properties, brands, regions, programs, and relevant benchmarks to help management evaluate performance, understand causation factors, monitor claim frequency and severity, identify litigation trends, and focus attention on opportunities for risk mitigation. 
  • Build and maintain presentations that communicate analytical findings, business implications, and recommended actions to key stakeholders. 
  • Partner with Insurance leaders to determine loss ratios by line of coverage, evaluate program performance and carrier profitability, calculate Total Cost of Risk (TCOR) to support informed decision-making, renewal strategy, and program evaluation. 
  • Prepare claim escrow estimates and due diligence loss reporting by compiling, validating, and analyzing loss data to support transactions and ownership changes. 
  • Extract, reconcile, validate, and summarize data from systems and other internal or external sources. 
  • Support continuous improvement of risk management tools, reporting processes, and automation opportunities to improve efficiency, accuracy, and scalability. 
  • Maintain hotel operating unit and exposure data as needed for openings, terminations, ownership changes, and program updates. 
  • Interface with brokers or other insurance service providers regarding loss statistic reporting and trend analysis, utilizing their research and/or information tools as appropriate. 
  • Perform special projects and other duties as assigned to support the evolving needs of the Insurance and Risk Management department. 

Marriott International is an equal opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

All positions offer a 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts.  Benefits are subject to terms and conditions, which may include rules regarding eligibility, enrollment, waiting period, contribution, benefit limits, election changes, benefit exclusions, and others. Click here to learn more.

Full-time positions also offer coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave and educational assistance. 

Washington Applicants Only: Employees will accrue paid sick leave, 0.077 PTO balance for every hour worked and be eligible to receive a minimum of 9 holidays annually.

Marriott HQ is committed to a hybrid work environment that enables associates to Be connected.  Headquarters-based positions are considered hybrid, for candidates within a commuting distance to Bethesda, MD; candidates outside of commuting distance to Bethesda, MD will be considered for Remote positions.
Marriott International is the world's largest hotel company, with more brands, more hotels and more opportunities for associates to grow and succeed. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

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