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Insurance Data Analytics Jobs in Chicago, IL (NOW HIRING)

The Specialist, Data Analytics Engineer serves as the technical leader for Master Data Management ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

New

Specialist, Data Analytics

Chicago, IL · On-site

$137K - $240K/yr

The Specialist, Data Analytics Engineer serves as the technical leader for Master Data Management ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

New

Data Analytics Engineer

Chicago, IL · On-site

$114.50 - $194.70/hr

## Data Analytics EngineerApplyremote type: Hybridlocations: Chicago, ILtime type: Full timeposted on ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

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Insurance Data Analytics information

See Chicago, IL salary details

$25

$56

$97

How much do insurance data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for insurance data analytics in Chicago, IL is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $63.89 per hour, depending on experience, location, and employer.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

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

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

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

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

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

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

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

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

Infographic showing various Insurance Data Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $117,306 per year, or $56.4 per hour.

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

Obie Insurance Group

Chicago, IL • On-site

$70 - $90/hr

Other

Retirement, PTO

Posted 4 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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