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Executive Insurance Data Analytics Jobs in Washington

Smart Media Group

Data Analyst

Alexandria, VA · Remote

This role will support clients and Account Executives through the creation and delivery of in-depth media analyses. RESPONSIBILITIES : * Answer client requests in conjunction with the Account ...

Posted today

Smart Media Group

Data Analyst

Alexandria, VA · Remote

This role will support clients and Account Executives through the creation and delivery of in-depth media analyses. RESPONSIBILITIES : * Answer client requests in conjunction with the Account ...

Posted today

Smart Media Group

Data Analyst

Alexandria, VA · Remote

This role will support clients and Account Executives through the creation and delivery of in-depth media analyses. RESPONSIBILITIES : * Answer client requests in conjunction with the Account ...

Posted today

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:

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Executive Insurance Data Analytics information

How does an executive insurance data analytics 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 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.

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?

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:
Executive Insurance Data Analytics jobs near you

Manager, SQFI Business & Data Analytics

FMI

Arlington, VA

Other

Posted 3 days ago

New

Job description

Primary Purpose: Responsible for advancing SQFI's business intelligence and analytics capability by transforming certification, audit, customer, and financial data into insight that drives decisions. This role owns the reporting and data quality foundation across SQFI, partnering with other teams, IT, and vendors to build dashboards, develop predictive and AI-assisted analysis, and deliver executive-ready recommendations that strengthen operational efficiency and the integrity of SQFI certification. Essential Job Functions: Analytics & Data Engineering : Build and maintain the data models, pipelines, and semantic layers that turn certification, audit, customer, and financial data into reliable analytics assets.

Develop dashboards and reporting in Power BI, write advanced SQL against SQFI's cloud data warehouse, and apply Python and AI-assisted methods to surface trends, forecast outcomes, and answer questions leadership hasn't thought to ask yet. Data Integration : Facilitate the integration of data from disparate systems to ensure consistency and reliability for analysis and reporting. Requirements Gathering : Collaborate with stakeholders to identify, document, and prioritize business requirements and system enhancements.

Process Improvement : Identify and implement process optimizations to streamline SQFI's audit management system, data, and associated workflows. Lead ongoing reviews of business processes and develop optimizations strategies. Stakeholder Collaboration : Engage with internal teams, vendors, and external stakeholders to define, refine, and manage project scope and requirements.

Documentation & Reporting : Create clear, detailed and well-structured documentation, including functional specifications, process maps, data models, reports, visualizations and dashboards to communicate findings and KPIs to senior management. Testing & Validation : Lead testing efforts to ensure system modifications meet business requirements, coordinating UAT (User Acceptance Testing) and resolving issues. Change Management : Support change management processes by assessing impact, planning, and executing implementation strategies for system updates.

Training & Support : Train business users on new systems and enhancements. Offer ongoing support post-implementation to ensure smooth transitions and optimal system use. Collaboration : Partner with cross-functional teams to develop and implement data-driven solutions.

Make Recommendations : Must be able to deliver effective solutions to leadership that provide tangible benefits within short timeframes. Identify specific business opportunities and ways to capitalize on them. Project Management : Lead or support projects aimed at improving SQFI information systems, ensuring projects are delivered on time and within budget.

Other Job Functions: Other responsibilities and duties as assigned or directed.

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