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Insurance Data Analytics Jobs in Washington, DC (NOW HIRING)

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 ...

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 ...

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

Data Analytics Engineer

Manassas, VA · On-site

$91K - $132K/yr

Responsibilities The Data Analytics Engineer will design, develop, and maintain robust data ... Medical, dental, vision, and disability insurance. * 401k package that includes both traditional ...

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:

Senior Engineer - Data Analytics

VA · On-site +1

$106K - $144K/yr

Primarily engaged in building and supporting data, analytics, and business intelligence ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

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Insurance Data Analytics information

See Washington, DC salary details

$27

$62

$106

How much do insurance data analytics jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for insurance data analytics in Washington, DC is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Washington, DC? The most popular types of Insurance Data Analytics jobs in Washington, DC are:
What are popular job titles related to Insurance Data Analytics jobs in Washington, DC? For Insurance Data Analytics jobs in Washington, DC, the most frequently searched job titles are:
Infographic showing various Insurance Data Analytics job openings in Washington, DC as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $128,972 per year, or $62 per hour.
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 11 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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