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Executive Insurance Data Analytics Jobs (NOW HIRING)

Novella

Insurance Data Scientist

New York, NY · On-site

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 ...

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · Remote

$87K - $114K/yr

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 ...

RWE

Data Analytics Lead

Chicago, IL

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 ...

RWE

Data Analytics Lead

Oakland, CA

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 ...

RWE

Data Analytics Lead

Austin, TX

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 ...

RWE

Data Analytics Lead

Austin, TX · On-site

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 Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87K - $114K/yr

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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$93.6K

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

As of Jul 19, 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.

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 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:
Executive Insurance Data Analytics jobs near you

Senior Insurance Data Science Consultant

Earnix

Boston, MA • On-site, Remote

Full-time

Re-posted 7 days ago

Job description

Description
We are seeking a highly experienced and strategically-minded Senior Insurance Data Science Consultant to join our growing analytics team. This role is ideal for a seasoned professional with actuarial experience and deep expertise in predictive modeling, machine learning, and insurance analytics. You will play a pivotal role in influencing client decision-making, shaping pricing strategies and delivering actionable insights to clients across multiple lines of business.
This role is based in Texas, supporting our regional clients, and is part of our North America team headquartered in Boston, MA.
What you'll do
  • Lead pricing strategy discussions using advanced analytics and actuarial insight, ensuring decisions are grounded in data and aligned to business outcomes.
  • Engage directly with senior executives, translating complex technical results into clear, compelling narratives that drive alignment and action.
  • Build and evolve predictive models that assess risk and forecast demand-directly shaping pricing and business decisions across insurance products.
  • Influence decision-making at the highest levels by connecting analytics to business value and strategic priorities.
  • Demonstrate Earnix capabilities in executive and client settings, showing not just how the platform works-but what it enables.
  • Lead onboarding and training for new users, ensuring fast adoption and rapid time-to-value from day one.
  • Act as a trusted advisor to clients, bridging business, analytics, and technology to deliver measurable impact.

Requirements
You'll do it using:
  • 15+ years of experience in the insurance industry, with deep expertise in analytics, actuarial modeling, and predictive techniques.
  • Strong hands-on experience with machine learning and statistical modeling to improve the accuracy, performance, and business impact of risk and pricing models.
  • Advanced proficiency in programming languages such as Python and R, applied to building, validating, and deploying scalable analytical solutions.
  • Experience working with intelligent decisioning platforms (such as Earnix or similar), integrating models into real-time pricing and personalization workflows.
  • Strong executive presence with the ability to engage, influence, and advise senior stakeholders in client organizations.
  • Willingness and flexibility to travel up to 40% domestically and internationally.

You'll excel by:
  • Communicating with clarity and executive presence, making complex data and models actionable for senior leadership.
  • Building trusted client relationships, understanding business needs, and delivering insights that drive measurable strategic outcomes.
  • Collaborating across teams, sharing knowledge and mentoring others to elevate the organization's analytical capability.
  • Adapting quickly to new challenges, staying curious and proactive in a fast-paced, innovation-driven environment.

Salary Range:
$ 180,000-204,000 per year
Position Intro
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel

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