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Executive Insurance Data Analytics Jobs in California

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models ... Equity grant * Medical, dental & vision insurance * Unlimited PTO * Work from home flexibility

Programmers.io

Data& Analytics PM

Torrance, CA · On-site

$54 - $73/hr

... in technology, data, or digital platform environments that enable large-scale enterprise ... Clear written and verbal communication skills suitable for executive and technical audiences.

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Executive Insurance Data Analytics information

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.

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 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 Engineer

Parafin, Inc

San Francisco, CA • On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

About Us:
At Parafin, we're on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
About the Position
We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design reliable datasets, transform raw data into trusted business metrics, and partner closely with Product, Engineering, Finance, Risk, and Operations. You'll also leverage modern AI tools to accelerate development and help build scalable, efficient analytics workflows. Your work will enable teams across the company to make better decisions and help us build products that expand access to financial services for small businesses.
Are you a curious, analytical, and collaborative individual with a passion for turning large, complex datasets into actionable insights? If so, come join us!
What You'll Be Doing:
  • Build and maintain scalable data pipelines that power analytics data models and trusted datasets.
  • Write efficient SQL to transform, validate, and optimize data for analytics and reporting.
  • Leverage AI tools to accelerate development, improve productivity, and streamline analytics workflows.
  • Develop and maintain dashboards, reports, and self-service analytics for business stakeholders.
  • Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and deliver data-driven solutions.
  • Monitor data quality, investigate discrepancies, and improve the reliability of our data.
  • Contribute to the continuous improvement of Parafin's analytics infrastructure and analytics engineering practices.

What We're Searching For:
  • 1-3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.
  • Strong SQL skills.
  • Experience working with relational databases and data warehouses.
  • Experience with Python or another scripting language.
  • Familiarity with dbt or a desire to learn modern analytics engineering tools.
  • Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience).

We Prefer If You Have:
  • Knowledge of data modeling and analytics engineering best practices.
  • Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms.
  • Experience with Git and version control.
  • Familiarity with Airflow, Dagster, or other workflow orchestration tools.
  • Experience working with financial services, lending, payments, or product analytics data.
  • Experience in a startup or other fast-paced, high-growth environment.

What We Offer
  • Salary Range: $180k - $220k
  • Equity grant
  • Medical, dental & vision insurance
  • Unlimited PTO
  • Work from home flexibility
  • Commuter benefits
  • Free lunches
  • Paid parental leave
  • 401(k)
  • Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

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