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Executive Insurance Data Analytics Jobs in Washington

QxBranch utilizes modern, adaptable data analytics tooling that can address your needs today, and ... Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations.

QxBranch utilizes modern, adaptable data analytics tooling that can address your needs today, and ... Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations.

... executive decision-making. * Support advanced analytics capabilities, including statistical ... Ensure data sharing, API integration, and data access models are secure, governed, auditable, and ...

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 ...

Preparing executive-level presentations that clearly summarize performance, key findings, and ... insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal ...

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Executive Insurance Data Analytics information

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 dashboards that help improve underwriting, pricing, and claims management processes.

How does the Executive Insurance Data Analytics role typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data strategy, leadership, and often certifications in analytics tools or data management platforms.

What are the key skills and qualifications needed to thrive as an Executive Insurance Data Analytics, and why are they important?

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

Will AI replace a Data Analyst?

AI is transforming the role of Data Analysts, including those in executive insurance data analytics, by automating routine tasks such as data cleaning and basic reporting. However, Data Analysts are still essential for interpreting complex data, providing strategic insights, and making nuanced decisions that require human judgment and domain expertise. The role is evolving to include skills in machine learning tools and data visualization, but it is unlikely to be fully replaced by AI in the near future.

What is the highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO) or Chief Underwriting Officer tend to be the highest paid, often earning six- to seven-figure salaries along with bonuses and stock options. These positions require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy and operations.

What is the difference between Executive Insurance Data Analytics vs Insurance Data Analyst?

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

What is an Executive Insurance Data Analytics professional?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.
What are the most commonly searched types of Insurance Data Analytics jobs in Washington? The most popular types of Insurance Data Analytics jobs in Washington are:
What cities in Washington are hiring for Executive Insurance Data Analytics jobs? Cities in Washington with the most Executive Insurance Data Analytics job openings:
Senior Analyst, Risk Management Data Analytics

Senior Analyst, Risk Management Data Analytics

Marriott International

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 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.
About Us
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.
About the Team
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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