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Entry Level Insurance Data Analytics Jobs in Illinois

Intern Data Analytics

Bloomington, IL · On-site +1

$20 - $21/hr

Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term ... This internship will provide hands-on experience in the data analytics field. Ideal for ...

Specialist, Data Analytics

Chicago, IL · On-site

$137K - $240K/yr

... insurance * other voluntary and well-being benefits * discretionary bonus program that may include an equity component. Work Authorization Applicants must be authorized to work in the U.S. without ...

Auto Claims Representative

Peoria, IL · On-site

$50K - $88K/yr

This job handles entry-level insurance claims under close supervision through the life-cycle of a ... Ability to organize data, multi-task and make decisions independently * Above-average communication ...

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Entry Level Insurance Data Analytics information

What is an entry level insurance data analytics job?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.

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

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What are some common challenges faced by entry level insurance data analytics professionals, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What does an entry level insurance data analyst do in insurance?

An entry level insurance data analyst collects, organizes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to improve underwriting processes and pricing strategies.

What are the most commonly searched types of Insurance Data Analytics jobs in Illinois?

The most popular types of Insurance Data Analytics jobs in Illinois are:

What are popular job titles related to Entry Level Insurance Data Analytics jobs in Illinois?

For Entry Level Insurance Data Analytics jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Entry Level Insurance Data Analytics jobs in Illinois look for?

The top searched job categories for Entry Level Insurance Data Analytics jobs in Illinois are:

What cities in Illinois are hiring for Entry Level Insurance Data Analytics jobs?

Cities in Illinois with the most Entry Level Insurance Data Analytics job openings:

Infographic showing various Entry Level Insurance Data Analytics job openings in Illinois as of September 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution.

Insurance Product & Data Analytics Data Analyst Chicago, IL/ Remote (US)

Chicago, IL • On-site

Other

Retirement, PTO

Posted 10 days ago


Key responsibilities

  • Develop hypotheses to understand the drivers of business growth or stagnation.

  • Build and maintain dashboards and reports within the Business Intelligence / Data Visualization tool Sigma.

  • Support various departments with analytics, metrics, data, and reporting needs, and serve as a trusted advisor on data-related questions.


Job description

At Obie, we don’t just insure properties — we ensure progress. With advanced technology, real-time data, and a vast network of agents and partners, we help real estate investors and landlords get insurance coverage whenever and wherever they need it. Thousands of owners nationwide trust us to be the insurance experts, so they don’t have to be.

Joining our team means embracing a fast-moving environment driven by innovation, collaboration, and constant progress. We learn quickly, iterate often, and celebrate wins together. If you're passionate about driving change and eager to impact the real estate and insurance market, Obie is the place for you.

Our Chicago based employees are hybrid, and expected to be in office on Tuesdays and Thursdays.

Brief Summary of Role

We are seeking an analytics individual to join the growing Revenue Operations (RevOps) and Analytics department’s Business Insights team at Obie. Those successful in this role will have a good mix of technical skills (SQL, python, data visualization, AI), business acumen, and insurance or financial services knowledge.

Strong ownership abilities and interpersonal skills are critical for the individual in this role. At the same time, they will be a team player who is comfortable collaborating within the analytics team and across departments, from individual stakeholders to executives. The person in this role must be a doer who can strategize through problems, have the flexibility to adapt to whatever is most critical, and have the technical skills and discipline to execute.

What you'll Do
  • Develop hypotheses to understand the state of the business, such as drivers of growth or stagnation
  • Build and maintain dashboards / reports within our Business Intelligence / Data Visualization tool Sigma
  • Align and support various analytics, metrics, data, and reporting needs at Obie across various departments like Growth & Channel Distribution, Product & Engineering, Insurance, Finance & Accounting, and the Executive team in collaboration with Data Engineers, Insurance Product Analysts, and Operations Analysts
  • Support financial budgeting, forecasting, and tracking
  • Perform data quality checks and reconciliations to datasets as needed
  • Serve as a trusted advisor to all stakeholders of data, answering reporting, metric, and data questions, and facilitating a culture of data literacy and data-driven decision making
What you'll Bring
  • Experience in data analytics or business analytics with strong SQL abilities
  • Knowledge and interest in insurance
  • Ability to drive initiatives start to end and manage competing priorities
  • Ability to dive deep into the data and details while synthesizing the bigger picture for stakeholders
  • Strong interpersonal, communication, and leadership skills
  • Team player attitude with the desire to drive impact at a fast growing company
Nice to Haves (preferred qualifications)
  • Experience in insurance, financial services, or similar
  • Experience with another analytics tool like python, R, or similar
  • Experience working with AI (We use Claude), github, and dbt
  • Experience in strategy, operations and analytics, GTM analytics, financial forecasting, consulting, or similar
Interview Process

At Obie, transparency is core to our interview process. We focus on open communication and a positive experience; no trick questions—just honest conversations about your skills and aspirations. To help you prepare, please familiarize yourself with these resources before moving forward:

  • Our company’s blog to learn more about the market we serve and the information our customers value.
  • Check out our LinkedIn to see how people interact with our brand and product.
  • Meet us and get to know Obie
    You’ll first talk to Kara on a 30-minute call to determine whether we’re a good fit for one another. You’ll learn more about Obie and have the chance to ask about our company, team, culture, and product.
  • Meet the hiring manager
    Next, you’ll have a 45-minute video interview with the hiring manager, Claire Wang , to assess your technical skills for the role.
  • Complete a Project Exercise
    This role requires strong analytical abilities and leadership skills, so we’ll ask you to complete a short exercise to flex those muscles. You can take your time and use resources available to you, however, we ask that you limit usage of AI when it comes to solving the problem, so we can best understand how you think through problems. We’ll primarily be assessing your technical skillset, problem solving abilities, and communication skills. More details will come when you reach this step!
  • Meet the Team
    Since you’ll be joining a close‑knit team, we’ll ask you to meet other people in the company so we get to know each other a bit better
Moving Forward with Obie

Obie is leading the future of real estate investment protection, securing over $25 billion in coverage for thousands of policyholders nationwide. Backed by $39 million in funding and recognized as a top workplace by Built In and Inc., we’re committed to driving progress for our customers and team. Through advanced digital tools, a trusted agent network, and strategic partnerships, Obie provides real estate investors the insurance coverage they need to move forward confidently.

Being in the insurance industry, we understand the importance of comprehensive benefits for you and your family. These are just some of the benefits and perks we provide:

  • Flexible paid time off
  • Retirement savings plan with company match

Obie values transparency and data driven decision making, enabling us to have a consistent and equitable approach to compensation. We are informed by a benchmarking tool which provides real time compensation data allowing us to regularly check our salary ranges against other venture backed companies and startups within our industry. We’ve provided the full base salary range for this role below, but please note that we typically target the mid point of the salary range to allow room for growth within the role. Your salary is dependent upon many factors, including years of relevant experience, expertise, etc.

During your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations.

The pay range for this role is:

70,000 - 90,000 USD per year (Remote (United States))

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