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Volunteer Insurance Data Analytics Jobs in California

Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections ... insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please ...

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

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a ... Offering may include: medical, dental, and vision insurance, life insurance, long and short-term ...

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Volunteer Insurance Data Analytics information

What is the difference between Volunteer Insurance Data Analytics vs Insurance Data Analyst?

AspectVolunteer Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsRelevant certifications, data analysis skills, insurance knowledgeDegree in statistics, data science, or related field; certifications preferred
Work EnvironmentNon-profit, volunteer-based, flexible hoursCorporate insurance companies, structured office settings
Employer & Industry UsageNon-profit organizations, insurance charitiesInsurance firms, financial institutions
Common Search & ComparisonVolunteer Insurance Data Analytics vs Insurance Data Analyst

Volunteer Insurance Data Analytics focuses on analyzing insurance data within volunteer or non-profit contexts, often with flexible or part-time roles. Insurance Data Analysts work in corporate settings, handling large datasets to inform business decisions. Both roles require similar analytical skills and insurance knowledge but differ mainly in work environment and employment type.

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 are popular job titles related to Volunteer Insurance Data Analytics jobs in California? For Volunteer Insurance Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Volunteer Insurance Data Analytics jobs in California look for? The top searched job categories for Volunteer Insurance Data Analytics jobs in California are:
What cities in California are hiring for Volunteer Insurance Data Analytics jobs? Cities in California with the most Volunteer Insurance Data Analytics job openings:

Guidewire Data Analyst

Excelon Solutions LLC

San Francisco, CA • On-site

Other

Re-posted 9 days ago


Job description

Job Title: Guidewire Data Analyst

Work Mode: Hybrid 3 days onsite

Locations : San Fransisco, CA

Job Overview

We are seeking a highly skilled Guidewire Data Analyst to join our team. The ideal candidate will have a strong background in Property & Casualty insurance, hands-on experience with Guidewire, and solid expertise in SQL, ETL processes, and reporting. This role requires both technical and business acumen to analyze data, provide insights, and support decision-making within the organization.

Key Responsibilities

  • Analyze and interpret complex insurance data from Guidewire systems.
  • Design, develop, and maintain SQL queries, ETL workflows, and data pipelines.
  • Collaborate with business stakeholders to gather requirements and translate them into reporting solutions.
  • Build dashboards, reports, and ad-hoc analyses to support business operations and compliance.
  • Ensure data accuracy, integrity, and consistency across multiple systems.
  • Partner with cross-functional teams to optimize data usage for business strategies.

Required Skills & Qualifications

  • 5+ years of experience as a Data Analyst in the Property & Casualty insurance domain.
  • Strong working knowledge of Guidewire (PolicyCenter, BillingCenter, or ClaimCenter).
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Hands-on experience with ETL tools and data integration processes.
  • Proven expertise in reporting and dashboard creation (Power BI, Tableau, or similar).
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work effectively in a hybrid model (3 days onsite in SF).