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Internship Insurance Data Analytics Jobs in Romeoville, IL

Data Analyst Location: Chicago, IL Duration: Contract - 4 months Pay Range: $30/hr (W2) About ... Bachelor's degree preferred; fresh graduates with relevant internships considered. Role Details ...

... in marketing, analytics, or digital media (highly successful internships count). * Bachelor ... Life, Short- and Long-Term Disability Insurance paid 100% by the company * FSA / HSA Options ...

... in marketing, analytics, or digital media (highly successful internships count). * Bachelor ... Life, Short- and Long-Term Disability Insurance paid 100% by the company * FSA / HSA Options ...

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

The data analytics team/program primarily supports, identifies and implements data analytics ... insurance (life, medical, dental, vision), paid holidays, paid vacation, 401(k) with matching ...

Showing results 21-40

Internship Insurance Data Analytics information

See Romeoville, IL salary details

$12

$22

$42

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

As of Aug 18, 2026, the average hourly pay for internship insurance data analytics in Romeoville, IL is $22.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $25.00 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as an insurance data analytics intern?

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 are the most commonly searched types of Insurance Data Analytics jobs in Romeoville, IL?

The most popular types of Insurance Data Analytics jobs in Romeoville, IL are:

What are popular job titles related to Internship Insurance Data Analytics jobs in Romeoville, IL?

For Internship Insurance Data Analytics jobs in Romeoville, IL, the most frequently searched job titles are:

What job categories do people searching Internship Insurance Data Analytics jobs in Romeoville, IL look for?

The top searched job categories for Internship Insurance Data Analytics jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Internship Insurance Data Analytics jobs?

Cities near Romeoville, IL with the most Internship Insurance Data Analytics job openings:

Infographic showing various Internship Insurance Data Analytics job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 21% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $47,727 per year, or $22.9 per hour.

Data & Analytics Engineer (Microsoft Fabric)

Gulf Coast Automation Group

Chicago, IL • Remote

$110K - $130K/yr

Full-time, Contractor

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Data & Analytics Engineer (Microsoft Fabric)
Primary Location: 2 days a week in Chicago's north Suburbs
Position Type: Direct hire
Overview
TalentFish is casting a line for a Data & Analytics Engineer to join a remote Contract-to-Hire opportunity with a client based in Illinois.
This role is ideal for a hands-on data professional who will serve as the client's internal Microsoft Fabric and Data Engineering subject matter expert (SME). The successful candidate will lead the design, development, and optimization of modern data solutions while driving best practices across Microsoft Fabric, Azure Databricks, SQL, and Power BI. You will partner with business and technical stakeholders to build scalable data platforms, establish governance standards, and deliver trusted analytics that support strategic business decisions.
What You Bring to the Role (Ideal Experience)

  • 6–8+ years of experience in Data Engineering, Data Analytics, Data Architecture, or a related discipline.
  • Bachelor's degree or equivalent combination of education and professional experience.
  • Advanced SQL skills, including data modeling, query optimization, and performance tuning.
  • Deep experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and Fabric Pipelines.
  • Strong experience with Azure Databricks, Delta Lake, Spark, and modern ELT/ETL development.
  • Experience designing scalable data architectures and enterprise data platforms.
  • Strong understanding of data governance, security, metadata management, and data quality best practices.
  • Experience integrating Microsoft Fabric with Azure Databricks using OneLake shortcuts and Delta Sharing.
  • Proficiency with Power BI, including semantic models, DAX, and enterprise reporting.
  • Experience with Azure DevOps, Git, CI/CD pipelines, and release management.
  • Experience supporting enterprise analytics initiatives and collaborating with cross-functional teams.
  • Strong analytical, communication, and stakeholder management skills.

What You'll Do

  • Serve as the client's internal Microsoft Fabric expert, providing technical leadership and guidance on enterprise data architecture and platform capabilities.
  • Design, build, and maintain scalable data pipelines and modern data solutions using Microsoft Fabric, Azure Databricks, SQL, and Power BI.
  • Architect and optimize Lakehouse and Warehouse solutions within Microsoft Fabric.
  • Develop enterprise data models that support reporting, analytics, and AI initiatives.
  • Design and implement robust ELT/ETL processes for structured and semi-structured data.
  • Establish and promote data engineering best practices, governance standards, and data quality processes.
  • Build secure, scalable, and high-performing data environments across Microsoft Fabric and Azure.
  • Integrate Microsoft Fabric and Azure Databricks through OneLake shortcuts, Delta Sharing, and modern data architecture patterns.
  • Partner with business stakeholders to translate requirements into scalable data and analytics solutions.
  • Support Data Engineering, Analytics, BI, and Data Science teams by providing reliable and governed data assets.
  • Develop executive dashboards, KPIs, and analytical reporting using Power BI.
  • Manage Azure DevOps repositories, pipelines, and deployment processes supporting continuous delivery.
  • Monitor and optimize platform performance, data pipelines, and storage utilization.
  • Evaluate and recommend emerging Microsoft data technologies and Fabric capabilities to continuously improve the client's data ecosystem.
  • Act as the primary point of contact for Microsoft Fabric architecture, data engineering strategy, and platform best practices across the organization.

Compensation Information
The expected compensation for this position is $110-130K yearly, depending on experience and qualifications. This Contract-to-Hire opportunity also offers comprehensive benefits, including health insurance, 401(k), and paid time off.
TalentFish is committed to pay transparency and equal opportunity. The salary range provided complies with applicable state and federal regulations.
This position requires authorization to work in the United States without current or future visa sponsorship.
All offers are contingent upon successful completion of a background check, which may include employment verification, education verification, reference checks, criminal history, drug screening, and other client-specific compliance requirements.
TalentFish is an employee-owned company transforming IT staffing through innovative technology, AI-driven recruiting, and an exceptional client and consultant experience.
TalentFish is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees.