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Executive Insurance Data Analytics Jobs (NOW HIRING)

Description VAST Data is looking for an Account Executive to join our growing team! This is a great ... data analysis and AI training and inference. Designed from the ground up to make AI simple to ...

Experience in insurance data models Qualifications Excellent written and verbal communication ... executive staff and team members apprised of goals, project status, and resolve issues and ...

Develop executive-level reports and visualizations for leadership * Identify data discrepancies and recommend corrective actions * Support process improvement initiatives through data-driven analysis ...

Oscar Health is a health insurance company built around a full stack technology platform focused on serving its members. The Associate, Provider Data Analytics will review provider data-related ...

Hands-on experience with insurance loss data, loss development, exposure analysis, and rate adequacy. * Experience building models that have been deployed in production and used to make real ...

Builds and maintains executive-level Power BI dashboards by designing complex data models, writing ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

Builds and maintains executive-level Power BI dashboards by designing complex data models, writing ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

Builds and maintains executive-level Power BI dashboards by designing complex data models, writing ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

Builds and maintains executive-level Power BI dashboards by designing complex data models, writing ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

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Executive Insurance Data Analytics information

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$26.5K

$93.6K

$184K

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

As of Jun 29, 2026, the average yearly pay for executive insurance data analytics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

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 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 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 cities are hiring for Executive Insurance Data Analytics jobs? Cities with the most Executive Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most Executive Insurance Data Analytics jobs? States with the most job openings for Executive Insurance Data Analytics jobs include:

Account Executive - Insurance

VAST Data

Boston, MA โ€ข On-site

Full-time

Posted 9 days ago


Job description

Description
VAST Data is looking for an Account Executive to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market."- Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
THE ROLE:
  • Develop business across a mix of the key accounts
  • Generate revenue and work closely with a network of Channel Partners to successfully sell the VAST Data offering
  • Manage the sales process to align with customer buying cycles
  • Manage customer relationships from first meeting through (optional) proof of concept as well as after the sale to enable opportunities to expand the VAST Data footprint.
  • Develop and present proposals to customers with information that demonstrates the ability of the VAST solution to meet customers' business objectives and justify the sale.
  • Prospect, penetrate large accounts, reaching decision-makers, and closing business.

Requirements
  • Consistent track record of exceeding quota and driving referenceable business.
  • A history of developing selling regions from the ground up, with little resources.
  • Passion for developing account expansion strategies and the value of post-sales customer success.
  • Excellent time management and communication skills.
  • Desire to drive change and evangelize new technologies in a way that resonates with customers.
  • Minimum of 7 years Direct Enterprise selling experience
  • Ability to thrive in a fast-paced environment experience is key, a mix of large company and startup experience.
  • The ability to speak with customers and partners at both a business-level and technical-level
  • Knowledge of the storage industry specifically: NFS, Object Storage and Enterprise Computing architectures.
  • Competitive attitude and strong work ethic with the ability to enthusiastically represent the company.
  • Proficient with Salesforce.com and Microsoft Office