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Senior Insurance Data Analytics Jobs in Illinois

Northern Trust

Data Analytics Engineer

Chicago, IL

$114K - $194K/yr

... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ... Movement within the organization is encouraged, senior leaders are accessible, and you can take ...

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ... Movement within the organization is encouraged, senior leaders are accessible, and you can take ...

Clear Point Consultants

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... Analytics We are seeking an experienced Senior Data Analyst to join a mortgage analytics team ... supporting business performance, risk monitoring, reporting, and data-driven decision-making. This ...

Unchain Data

Compliance Senior Data Analyst

Chicago, IL · On-site

$125 - $150/hr

We're looking for a Compliance Senior Data Analyst with deep SQL expertise, strong logical ... They will possess skills in data analytics, SQL, Python, Jira, large dataset analysis, data ...

BMO Capital Markets

Sr. Data Analyst

Chicago, IL · On-site

$65K - $140K/yr

Data Analytics & Reporting Build trusted data. Shape the future with AI. We're looking for a ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

New

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 alegal plan,pet insurance, andtravel accident coverage. For Your Family

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Senior Insurance Data Analytics information

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

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 cities in Illinois are hiring for Senior Insurance Data Analytics jobs?

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

Senior Insurance Data Analytics jobs near you
Infographic showing various Senior Insurance Data Analytics job openings in Illinois as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 85% In-person, and 15% Remote job distribution.

Senior Data Analyst - Gaming Analytics

Accel Entertainment

Burr Ridge, IL • On-site

$100K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Accel Entertainment rating

6.7

Company rating: 6.7 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

191st of 283 rated repair and maintenance companies

Job description

About Us
Accel Entertainment, Inc. (NYSE: ACEL) is a growing provider of locals-focused gaming and one of the largest terminal operators in the United States, supporting more than 29,000 electronic gaming terminals in nearly 4,700 third-party local and regional establishments and 20 self-operated gaming locations across ten states. Through exclusive long-term contracts, Accel serves licensed non-casino locations including bars, restaurants, convenience stores, truck stops, gaming cafes, and fraternal and veteran establishments.
Accel provides its local partners with a turnkey, full-service, capital-efficient gaming solution that encompasses manufacturing, content, payments, loyalty, 24/7 customer service, data analysis and reporting, and cash logistics. The Company's racino, Fairmount Park - Casino & Racing, features live racing, electronic gaming machines, live table games, food and beverage amenities, and pari-mutuel betting.
Job Description:
Position Basics:
  • Based in our Burr Ridge Office
  • Hybrid Schedule, 4 days in-office, 1 day remote
  • Flexible work schedule
  • This role interacts directly with Executive leadership
  • Base Salary $100,000-$110,000 with 10% annual bonus
  • 3 years Data Analysis experience as well as relevant Bachelors degree required, equivalent experience may be considered
  • Proficiency in Visualization Tools required (PowerBI, SQL, & Tableu)
  • Preferred Experience: Predictive Modeling, Player Loyalty or Gaming Content Analysis
  • Competitive benefits - health insurance inc. vision and dental; 401(k) w/ match; PTO + paid holidays; and additional total rewards

Position Summary
We are seeking a Sr. Data Analyst for a highly visible position within the Data Analytics team at Accel Entertainment. This role serves as a key analytics resource responsible for evaluating gaming machine performance, gaming software behavior, route and market activity, operational trends, and enterprise KPIs. The successful candidate will design efficient reporting, testing, and analytical solutions that help measure, explain, improve, and predict performance across the business. This position will partner closely with Operations, Product, IT, and corporate data management teams to ensure decision makers have accurate, timely, and actionable insights.
Role Focus
  • Analyze gaming machine performance, software outcomes, operational trends, route performance, and market-level activity to identify opportunities for revenue growth, efficiency, and improved decision making.
  • Use T-SQL /SQL Server Management Studio (SSMS) to query, validate, transform, and analyze data from multiple operational and enterprise sources.
  • Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or comparable visualization tools.
  • Leverage AI tools responsibly to accelerate exploratory analysis, generate deeper hypotheses, summarize complex patterns, and improve the quality and speed of analytical deliverables.

Essential Duties and Responsibilities
  • Interpret data and analyze results using statistical and analytical techniques to support recurring reporting, ad hoc analyses, business reviews, and strategic initiatives.
  • Develop, maintain, and optimize T-SQL queries, stored procedures, data extracts, and analytical datasets using SSMS and related SQL Server tools.
  • Analyze gaming machine data, software events, location performance, route trends, game performance, player behavior indicators, and operational metrics to identify patterns, risks, and opportunities.
  • Create clear, accurate, and scalable dashboards and reports using Power BI, Tableau, or similar tools to communicate trends, KPIs, and recommendations to technical and non-technical audiences.
  • Partner with IT and data management teams to coordinate the collection, validation, and documentation of operational data from multiple source systems.
  • Support test design, measurement, and post-implementation analysis for gaming software changes, machine configurations, market activities, product initiatives, and process improvements.
  • Identify, maintain, and measure operational KPIs, including the tracking of strategic pillars, initiatives, and performance improvement opportunities.
  • Use AI-enabled tools and workflows to support deep analysis, anomaly detection, pattern discovery, data summarization, code assistance, and scenario exploration while maintaining appropriate data governance and validation standards.
  • Document analytical methods, business logic, data definitions, assumptions, and internal controls to promote consistency, auditability, and repeatability.
  • Translate complex analytical findings into concise insights, business implications, and recommended actions for management and cross-functional stakeholders.
  • Perform other duties as assigned, including special projects and time-sensitive analytical requests.

Qualifications
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Information Management, Analytics, Business Analytics, Economics, or a related quantitative field; equivalent experience may be considered.
  • 3+ years of experience as a Data Analyst, Business Analyst, Reporting Analyst, BI Analyst, or similar analytics role.
  • Strong hands-on experience writing T-SQL queries in SQL Server Management Studio (SSMS), including joins, aggregations, subqueries, common table expressions, window functions, and data validation techniques.
  • Experience building dashboards, reports, and visual analyses in Power BI, Tableau, or comparable visualization platforms.
  • Strong analytical skills with the ability to collect, organize, validate, analyze, and communicate large and complex datasets with attention to detail and accuracy.
  • Ability to analyze operational, machine, software, transaction, or event-level data and translate findings into practical business recommendations.
  • Experience using AI tools to assist with analysis, research, query development, hypothesis generation, documentation, or synthesis of analytical findings.
  • Adept at query development, report writing, data storytelling, and presenting findings to management.
  • Strong verbal and written communication skills, including the ability to present complex information in a clear, digestible manner.
  • Excellent attention to detail, strong organizational skills, and a proven track record of meeting deadlines while producing high-quality work.
  • Ability to work cooperatively and collaboratively with all levels of employees, management, and external partners to maximize performance, creativity, problem solving, and results.
  • Ability to operate independently with minimal direction while managing multiple priorities and projects simultaneously.

Preferred Qualifications
  • Experience in gaming, amusement, route operations, retail, hospitality, distributed operations, regulated environments, or other high-volume operational data settings.
  • Familiarity with A/B testing, pre/post analysis, cohort analysis, anomaly detection, or statistical measurement of operational initiatives.
  • Experience documenting KPI definitions, data lineage, dashboard requirements, and report governance standards.
  • Exposure to Python, R, Databricks, Azure, or other modern analytics tools is a plus.

Base Pay Range:
Base Salary: $100,000-110,000 + 10% annual bonus
This range represents the low and high end of the anticipated base salary range for this position. The base salary will depend on a number of factors such as: qualifications, experience level, and skillset.
Voluntary full-time employment benefits include medical, dental, and vision; life, AD&D, critical illness, and hospital insurance; short and long-term disability; identity/legal protection; as well as access to FSA and HSA accounts. Full and part-time employees are eligible to contribute to traditional and/or Roth 401(k) plans. Our Employee Assistance Program (EAP) offers counseling for a multitude of topics including (but not limited to) mental health, finances, adult care, disability, and grief.
Accel Entertainment is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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