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Assistant Insurance Data Analytics Jobs (NOW HIRING)

... assist insurance brokers and companies as needed. * Collect and aggregate insurance premium and loss experience data as required for budgeting and planning purposes and for profitability analytics

Assistant Director, Data Analytics Reporting to the Senior Director, Data Analytics, the Assistant Director, Data Analytics works within the Data Strategy department to develop and deliver data ...

Healthcare Data Architect

Richmond, VA · On-site

$63 - $81.25/hr

... are Insurance data analysis including: { This person will need to identify technical gaps and ... Assist with cost containment systems, applications, data stores and data flows. 4. Must be able to ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialist with 2-5 years of experience in data ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

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Assistant Insurance Data Analytics information

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How much do assistant insurance data analytics jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for assistant insurance data analytics in the United States is $20.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.08 per hour, depending on experience, location, and employer.

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

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

What cities are hiring for Assistant Insurance Data Analytics jobs? Cities with the most Assistant 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 Assistant Insurance Data Analytics jobs? States with the most job openings for Assistant Insurance Data Analytics jobs include:
Guidewire Data Analyst

Guidewire Data Analyst

Excelon Solutions LLC

San Francisco, CA • On-site

Other

Re-posted 11 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).