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

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics ... Benefits include, but are not limited to; medical, prescription drug, dental and vision insurance ...

Apex Fintech Solutions

Data Analyst

Chicago, IL · Hybrid

$75K - $94K/yr

Bachelor's degree or foreign degree equivalent in Data Science, Data Analytics, Business ... Medical/Dental/Vision Insurance, PTO, 401K #LI-DNI Please note this is not designed to cover or ...

Apex Fintech Solutions

Data Analyst

Chicago, IL · On-site

$75K - $94K/yr

Bachelor's degree or foreign degree equivalent in Data Science, Data Analytics, Business ... Medical/Dental/Vision Insurance, PTO, 401K #LI-DNI Please note this is not designed to cover or ...

Origami Risk LLC

(Senior) Corporate Data Analyst

Chicago, IL · On-site +1

$67K - $101K/yr

Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics ... Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic ...

Marmon

Data Governance Analyst

Carol Stream, IL · On-site

Bachelor's degree in Business, Supply Chain, Information Systems, Data Analytics, or related field ... Medical, Dental, Vision, and Prescription Drug insurance plans * Access to a Health Advocate who is ...

Transunion

Senior Data Analyst

Chicago, IL

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

TransUnion

Senior Data Analyst

Chicago, IL

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

Transunion

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

TransUnion

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Naperville, IL

Insurance Data Analytics information

See Naperville, IL salary details

$24

$54

$94

How much do insurance data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for insurance data analytics in Naperville, IL is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $61.92 per hour, depending on experience, location, and employer.

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.

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.

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.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

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 most commonly searched types of Insurance Data Analytics jobs in Naperville, IL? The most popular types of Insurance Data Analytics jobs in Naperville, IL are:
What are popular job titles related to Insurance Data Analytics jobs in Naperville, IL? For Insurance Data Analytics jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Naperville, IL look for? The top searched job categories for Insurance Data Analytics jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Insurance Data Analytics jobs? Cities near Naperville, IL with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Naperville, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 10% Hybrid, and 18% Remote job distribution, with an average salary of $113,704 per year, or $54.7 per hour.

Legal Data Analytics & AI Insights Manager-Chicago, IL or Erlanger, KY

Archer Daniels Midland

Chicago, IL • On-site

$92K - $173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

77th of 360 rated logistics

Job description


Legal Data Analytics & AI Insights Manager - Chicago, IL OR Erlanger, KY
Role Purpose
The Data, Analytics & AI Insights Manager is a strategic role responsible for advancing the effectiveness, efficiency, and data maturity of the Legal Affairs, Regulatory & Compliance (LARC) function through advanced analytics, data engineering, AI enablement, and automation.
This role serves as the central data and analytics leader across Legal, Compliance, Government Relations, Regulatory & Scientific Affairs (RSA), and Insurance/Risk, enabling data-driven decision-making, predictive insights, and scalable automation.
The individual will design and operationalize integrated data ecosystems, leveraging Power BI, enterprise data platforms, and GenAI tools to transform fragmented data into actionable intelligence and automated workflows.
Key Responsibilities
Data Strategy & Integration
  • Lead LARC's data strategy by integrating cross-functional data, establishing governance standards, and building scalable data models and pipelines.
GenAI Enablement & Data-to-Insight Automation
  • Enable GenAI use cases and automation by creating AI-ready data environments and delivering tools that turn structured data into actions, insights, summaries, and decision support.
Automation & Workflow Optimization
  • Drive workflow optimization by identifying data integration and automation opportunities across intake, reporting, matter management, and regulatory processes using data integrations and GenAI tools.
Risk Analytics & Insights
  • Build a unified LARC risk analytics data framework that delivers predictive indicators, dashboards, and forward-looking insights to support strategic decisions.
Advanced Analytics & Power BI Enablement
  • Develop executive dashboards and self-service analytics that provide leadership with clear visibility into performance, risk, and operational trends across LARC.
Qualifications & Experience
Required
  • Bachelor's degree in data Analytics, Information Systems, Business, Finance, or related field
  • 5+ years of experience in:
    • Data analytics / BI
    • Legal, compliance, risk, or regulatory environments
  • Advanced expertise in:
    • Power BI (data modeling, DAX, visualization, dashboarding)
    • SQL and data transformation
    • Data integration and architecture
    • GenAI models, related tool and agentic AI
  • Demonstrated experience aggregating multi-source data into unified reporting frameworks
Preferred
  • Experience implementing GenAI solutions in enterprise functions
  • Familiarity with legal, compliance, or risk technology platforms
  • Experience designing data models for AI consumption and automation use cases
  • Certifications in data analytics, BI, AI, or risk/compliance (e.g., CCEP, CISA, analytics certifications)
Core Competencies
  • Enterprise Data Strategy & Architecture
  • Advanced Analytics & BI (Power BI)
  • GenAI Enablement & Automation
  • Data Governance & Quality Management
  • Continuous Improvement & Operational Excellence

Excited about this role but don't think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings.
ADM requires the successful completion of a background check.
REF:110402BR
About ADM
At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We're a global leader in human and animal nutrition and the world's premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at www.adm.com.
#IncludingYou
Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments - environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together.
We welcome everyone to apply. We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, language, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law
Benefits and Perks
Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including:
  • Physical wellness - medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable).
  • Financial wellness - flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers' compensation, legal assistance, identity theft protection.
  • Mental and social wellness - Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).
Additional benefits include:
  • Paid time off including paid holidays.
  • Adoption assistance and paid maternity and parental leave.
  • Tuition assistance.
  • Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.
*Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter.
Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours.
If hired, employees will be in an "at-will position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position is expected to be between:

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