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Data Analyst

Ryan Specialty
Be an Early ApplicantFull Time
Chicago - Illinois - WackerPosted Today

Role Overview

Ryan Specialty is hiring a Data Analyst. This is a full-time role in Chicago - Illinois - Wacker. Part of Ryan Specialty's Data Analysis hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Data Analysis roles is $95k-$140k (based on 74 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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Job description

Position Summary

The Data Analyst is responsible for analytic data needs of the business unit. Handle complex data projects and acts as a lead for other Data Analysts.

What will your job entail?

Job Responsibilities:
• Provide advanced analytical support for business operations in all or some of the following areas: claims, client data, policy data, and external reporting.
• Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources.
• Review data to determine operational impacts and needed actions; elevate issues, trends, areas for improvement and opportunities to management.
• Develop reports and deliverables for management.
• Model data using MS Excel, Access, SQL, and/or other data warehouse analytical tools.
• Ensure compliance with federal and state deliverable reporting requirements by performing data quality audits and analysis.
• Assist with training and mentoring other Data Analysts.
• Supports Data systems as functional administrator evaluating new release functionality to include testing and implementation of new functionality.
• Performs other duties as assigned.


Work Experience and Education:
• Bachelor’s degree in related field or equivalent experience. Master's degree is a plus. 1+ years of statistical analysis or 1+ years of related IT experience, including data warehouse, coding or ETL experience. ( Data Warehouse “e.g., Data Bricks” (or) basic experience with data bricks is plus.)
• Experience managing projects or heavy involvement in project implementation.
• Experience in Data Visualization and building dashboards using SQL.
• Experience with Coding language such as Python or R.
• Experience in underwriting analysis.

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.

How We Support Our Teammates 

Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.

The target salary range for this position is $74,400.00 - $93,000.00 annually.

The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/. 

 

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com 

 

The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 

About Ryan Specialty

Ryan Specialty logo

Ryan Specialty

ryanspecialty.com

Data AnalysisOn-site

22 other open roles at Ryan Specialty on TryApplyNow.

Frequently Asked Questions

How do I apply for the Data Analyst position at Ryan Specialty?

Use the Apply button above to submit your application directly to Ryan Specialty. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Data Analyst position at Ryan Specialty located?

This position is based in Chicago - Illinois - Wacker. Ryan Specialty has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Data Analyst at Ryan Specialty earn?

Ryan Specialty has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Analyst role at Ryan Specialty posted?

This role was posted on July 23, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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