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Senior Insurance Data Analytics Jobs in Highland, IL

Data Analyst

Fairview Heights, IL · On-site

$77K - $129K/yr

Evaluate and implement modern data tools, analytics platforms, and automation capabilities. What ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Data Analyst

Fairview Heights, IL · Hybrid

$77K - $129K/yr

Evaluate and implement modern data tools, analytics platforms, and automation capabilities. What ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

FOUR (4) years of military, GIS, or data analysis related equivalent experience may be used in lieu ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

FOUR (4) years of military, GIS, or data analysis related equivalent experience may be used in lieu ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Analytics Engineer

Edwardsville, IL · On-site

$107K - $129K/yr

Midwest Railcar - Analytics Engineer About the Role The Analytics Engineer builds and maintains the ... insurance, finance, or regulated industries * Python programming experience for data parsing ...

Sr Security Analyst

Scott Air Force Base, IL · On-site

$92K - $121K/yr

ECS is seeking a Senior Security Analyst to work in our Scott AFB, IL office. As a leading managed ... Correlate data across network, cloud, and endpoints to identify attacks and unauthorized actions.

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Senior Insurance Data Analytics information

See Highland, IL salary details

$15

$52

$75

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

As of Aug 7, 2026, the average hourly pay for senior insurance data analytics in Highland, IL is $52.37, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $62.02 per hour, depending on experience, location, and employer.

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 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 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 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 cities near Highland, IL are hiring for Senior Insurance Data Analytics jobs? Cities near Highland, IL with the most Senior Insurance Data Analytics job openings:

Data Analyst

Guidehouse

Fairview Heights, IL • On-site

$77K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago


Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants


Job description

Job Family:
Data Engineering & Architecture Consulting
Travel Required:
Up to 10%
Clearance Required:
Active Secret
What You Will Do:
  • Provide data analysis, management, and reporting support for enterprise systems and mission-critical programs.
  • Design, develop, and maintain data models, dashboards, and analytical solutions to support business and operational needs.
  • Analyze large and complex datasets to identify trends, anomalies, and actionable insights.
  • Collaborate with applications, database, and business teams to support data-driven decision-making.
  • Develop and maintain technical documentation, including data dictionaries, transformation logic, and reporting procedures, consistent with contract expectations for documentation and technical support Provide ad hoc data analysis and reporting support for stakeholders and leadership.
  • Lead data-related troubleshooting and root cause analysis for data discrepancies and reporting issues.
  • Mentor junior team members and contribute to knowledge sharing and best practices.
  • Evaluate and implement modern data tools, analytics platforms, and automation capabilities.

What You Will Need:
  • An ACTIVE "SECRET" Federal or DoD security clearance.
  • Bachelor's degree.
  • THREE (3) or more years of relevant data analysis or data management experience, consistent with senior-level technical labor categories.
  • Experience with: SQL and relational databases, Data analysis tools (e.g., Python, R, or similar) and Data visualization tools (e.g., Power BI, Tableau, or similar).
  • Must be able to be onsite 5 days a week.

What Will Be Nice to Have:
  • Experience with statistical reasoning (e.g., Regression Analysis, Time Series Analysis, Operations Research).
  • Familiarity with data warehousing and data lake architectures.
  • Knowledge of machine learning or advanced analytics techniques.
  • Experience in federal or highly regulated environments.
  • Ability to work independently with minimal supervision in complex environments.
  • Strong analytical and problem-solving capabilities for complex data challenges.
  • Excellent written, verbal, and interpersonal communication skills.
  • Ability to translate business requirements into technical data solutions.
  • Demonstrated ability to learn and adapt to emerging data technologies.

The annual salary range for this position is $77,000.00-$129,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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