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Internship Insurance Data Analytics Jobs (NOW HIRING)

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 ...

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 ...

Associate, Provider Data Analytics

Tempe, AZ ยท 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 ...

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students ... You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

Company Overview World Insurance Associates ("World") is a unique financial services organization ... Position Overview We are seeking a Data Migration Analyst to support the successful migration of ...

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Internship Insurance Data Analytics information

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

As of Jun 26, 2026, the average hourly pay for internship insurance data analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Insurance Data Analytics Intern, and why are they important?

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an Insurance Data Analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

What is an Internship in Insurance Data Analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.
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What cities are hiring for Internship Insurance Data Analytics jobs? Cities with the most Internship 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 Internship Insurance Data Analytics jobs? States with the most job openings for Internship Insurance Data Analytics jobs include:
Infographic showing various Internship Insurance Data Analytics job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Reporting Data Analyst (Hybrid)

Siritech Solutions Corp

Alpharetta, GA โ€ข Hybrid

Full-time

Posted 23 days ago


Job description

Total Required Experience in Years:Minimum 13+ Years Overall, 10+ Years EDW/DWH, 7+ Years P&C Insurance, 5+ Years BI/Reporting Tools
Visa: H1/GC/ USC
Mode of Work:
Hybrid (3 Days Onsite)
Job Description:
Seeking an experienced Reporting Data Analyst to support enterprise reporting, data warehousing, analytics, and insurance data initiatives within a Property & Casualty (P&C) insurance environment. The ideal candidate should possess deep expertise in enterprise data warehousing, reporting, Workers Compensation, insurance data interpretation, Guidewire systems, SQL, dimensional modeling, and reporting architecture. This role requires acting as a Subject Matter Expert (SME) for enterprise insurance data, translating complex business processes into reporting structures, ensuring accurate data lineage, validating enterprise reporting outputs, and supporting analytics initiatives aligned with business objectives and regulatory requirements. The candidate will collaborate with business leaders, technical teams, and stakeholders to ensure reliable reporting, accurate warehouse data interpretation, and strong enterprise data governance practices.


Key Responsibilities:

  • Act as a Data and Domain SME across Property & Casualty insurance subject areas including policy, claims, billing, and financial systems
  • Demonstrate expertise in Commercial Lines including Workers Compensation, General Liability, Commercial Auto, Property, and Umbrella/Excess insurance domains
  • Collaborate with business stakeholders to gather, analyze, validate, and document reporting requirements and data extract needs
  • Translate insurance business processes into dimensional models, KPIs, business metrics, and enterprise reporting structures
  • Leverage Guidewire platforms including PolicyCenter, ClaimCenter, BillingCenter, Genius, and SAP to interpret enterprise data and establish lineage
  • Map policy lifecycle activities including submission, quote, bind, issue, endorsements, renewals, cancellations, and reinstatements into EDW structures
  • Analyze claims lifecycle data including reserves, recoveries, payments, and financial reporting metrics
  • Perform source-to-target mapping, data lineage analysis, transformation validation, and reconciliation across ETL and EDW environments
  • Develop, validate, and optimize complex SQL queries, reporting datasets, and views across enterprise warehouse environments
  • Ensure consistency, reconciliation, and accuracy between source systems and enterprise warehouse reporting layers
  • Review, certify, and validate reports for business accuracy, completeness, and compliance requirements
  • Investigate and resolve data discrepancies across source systems, ETL pipelines, reporting environments, and warehouse layers
  • Document business rules, metadata, data lineage, mappings, and reporting definitions
  • Support User Acceptance Testing (UAT), defect analysis, reporting enhancements, and production reporting support
  • Educate stakeholders on reporting interpretation, governance standards, and enterprise data usage best practices


Additional Responsibilities:

  • Support enterprise reporting governance, insurance analytics, and business intelligence initiatives
  • Collaborate with senior business leaders and cross-functional technical teams on strategic reporting efforts
  • Provide SME-level guidance on insurance data interpretation and enterprise reporting architecture
  • Facilitate stakeholder discussions and explain complex data concepts to technical and non-technical audiences
  • Support continuous improvement efforts for reporting quality, data governance, and warehouse optimization


Required Skills:

  • Minimum 13+ years of experience as a hands-on Reporting/Data Analyst in enterprise environments
  • Minimum 10+ years of experience working with Enterprise Data Warehousing (EDW/DWH) solutions
  • Minimum 7+ years of Property & Casualty (P&C) Insurance experience, preferably Commercial Lines
  • Strong domain expertise in Workers Compensation and claims analytics
  • Minimum 5+ years of experience with BI and reporting tools such as Power BI and MicroStrategy
  • Hands-on experience with Guidewire (PolicyCenter, ClaimCenter, BillingCenter), Genius, and SAP
  • Advanced SQL experience working with large-scale enterprise data warehouses
  • Strong understanding of data lineage, traceability, dimensional modeling, source-to-target mapping, and reporting architecture
  • Proven experience reconciling data between enterprise transactional systems and warehouse environments
  • Strong stakeholder communication, documentation, analytical, and problem-solving skills


Qualifications:

  • Strong experience working in enterprise insurance, data warehousing, and reporting environments required
  • Recognized SME-level expertise in Insurance Data and Data Warehousing preferred
  • Ability to work independently in complex and ambiguous environments required
  • Canada Citizen or Permanent Resident required


Education:

  • Bachelors degree in Computer Science, MIS, or related field (or equivalent experience) required


Certifications:

  • Power BI certification preferred
  • Data Warehousing or Business Intelligence certification preferred