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Executive Insurance Data Analytics Jobs in California

Heluna Health

Data/Analytics Engineer

Los Angeles, CA · On-site

$10K/mo

The role bridges infrastructure and advanced analytics by building scalable data products and integrations that support program tracking, executive reporting, and predictive modeling for County and ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site

... executive levels of client organizations • Proactively identify risks, issues and provide ... analyze data to identify common data patterns • Bachelor's degree in engineering, information ...

City National Bank

Data Analytics Manager

Los Angeles, CA · On-site

$122K - $208K/yr

DATA ANALYTICS MANAGER Los Angeles, CA WHAT IS THE OPPORTUNITY? The Data Analytics Manager leads a ... Create executive-level dashboards and reports for senior sales leaders and partners * Ensure data ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site

... executive levels of client organizations • Proactively identify risks, issues and provide ... analyze data to identify common data patterns • Bachelor's degree in engineering, information ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ... executive team moving. Responsibilities: Power BI & Fabric Power-User * Advance the Stack: Take ...

CrowdStrike

Director, Data Analytics

Sunnyvale, CA · On-site

Serve as the primary analytical liaison and strategic partner to executive and functional leaders ... insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please ...

Ingram Micro

Principal, Data Analytics

Irvine, CA · On-site

$116K - $197K/yr

Exceptional storytelling and presentation skills, with the ability to build compelling executive ... life insurance, and wellbeing benefits, among others. This is not a complete listing of the job ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

The Data & Analytics Lead is the "intelligence engine" for the entire organization. We are already ... executive team moving. Responsibilities: Power BI & Fabric Power-User * Advance the Stack: Take ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Facilitate workshops, provide status updates, and lead meetings across the executive levels of ...

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All JobsInsurance Data Analytics JobsExecutive Insurance Data Analytics JobsExecutive Insurance Data Analytics Jobs in California

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 California? The most popular types of Insurance Data Analytics jobs in California are:
What cities in California are hiring for Executive Insurance Data Analytics jobs? Cities in California with the most Executive Insurance Data Analytics job openings:
Executive Insurance Data Analytics jobs near you
Data Analytics Manager

Data Analytics Manager

City National Bank

Los Angeles, CA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
City National Bank is a subsidiary of Royal Bank of Canada, founded in 1954, focusing on providing exceptional client relationships and community support. The Data Analytics Manager will lead a team to deliver strategic insights and reporting solutions for Consumer Banking and Small Business products, driving data-informed decision-making for senior leaders. Key responsibilities include overseeing product analytics, managing client segmentation, and creating executive dashboards to support business strategy and performance.
Responsibilities:
• Lead analytical initiatives for consumer and small business products including loans and deposits
• Develop insights on product performance, KPIs, and customer behaviors
• Support product optimization and cross-sell opportunities
• Oversee analytics for partner-managed products including wealth management, treasury management, and credit cards
• Collaborate with wealth management, treasury management and other internal bank partners to align analytics standards and methodologies
• Provide insights to support partner product performance
• Support the remediation of critical issues and provide recommendations to improve efficiency
• Collaborate with the Product team to design and perform scenario analysis for client segmentation models
• Conduct detailed client analytics to identify and segment customer cohorts to align services with client value
• Support the rollout of marketing and sales strategies including the development of business cases, implementation plan and reporting campaign performance
• Manage sales pipeline reporting and provide insights on product and colleague performance
• Create executive-level dashboards and reports for senior sales leaders and partners
• Ensure data accuracy, consistency, and accessibility across reporting solutions
• Maintain and update reporting infrastructure to meet evolving business needs
• Manage, mentor, and develop a team of analytics professionals
• Establish performance expectations and provide regular feedback
• Allocate work priorities and ensure timely delivery of analytics projects
• Complies fully with all Bank Operational and Credit policies and procedures as well as all regulatory requirements (e.g. Bank Secrecy Act, Know Your Client, Community Reinvestment Act, Fair Lending Practices, Code of Conduct, etc.)
Qualifications:
Required:
• Bachelor's Degree or equivalent
• 7+ years of professional experience in data analytics
• 5+ years of experience working within the banking industry
• 2+ years of experience leading a team
Preferred:
• Strong quantitative and analytical skills
• Advanced proficiency with SQL and data querying
• Strong experience with BI/analytics tools (e.g. Tableau, Power BI)
• Knowledge of Alteryx, Snowflake and Tableau
• Leadership and relationship-building skills required to work with sales leadership, senior management, sales colleagues and subject matter experts
• Ability to develop and deliver clear, concise, senior management-level presentations
• Comfortable working in a deadline driven environment while maintaining accuracy and excellence in output
• Strategic thinking and planning skills coupled with ability to execute projects with diligence and urgency
• Comfortable working with ambiguity; able to take initiative to identify and solve problems, develop innovative solutions, and design new processes with minimal direction
Company:
City National Bank offers a full complement of banking, trust and investment services. It is a sub-organization of City National. Founded in 1953, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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