Data Analysis Jobs in Chicago, IL

62,293 open positions · Updated daily

Looking for Data Analysis jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Data Analysis position in the Chicago, IL area.

Associate Banker (20 Hours) Skokie & Emerson Branch, Skokie, IL

Company: JPMorgan Chase

Location: Skokie, IL

Posted Feb 03, 2025

View Details Apply on The Muse
meaningful work from Day 1 collaborative culture opportunity to shine

Lead FCS Business Risk & Control Advisor

Company: Discover

Location: Chicago, IL

Posted Feb 03, 2025

Discover is offering a job opportunity for a Finance and Corporate Services professional with experience in risk management. The role involves being a thought leader in risk management, partnering with business process owners, and implementing enterprise policies and standards. The company values diversity and inclusion, and offers competitive compensation and benefits. The position requires a Bachelor's degree in Business Administration, Finance, or a related field, and 4+ years of experience in Finance, Accounting, or Risk Management. The application deadline is Jan 12, 2025.

View Details Apply on BuiltIn

Distribution Manager

Company:

Location: Deerfield, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Machine Operator I (6:00 pm - 6:00 am) C Shift

Company:

Location: Joliet, IL

Posted Feb 03, 2025

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Salesforce Marketing Cloud Email Specialist

Company: CVS Health

Location: Chicago, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Parts Washer Sales Specialist

Company:

Location: West Dundee, IL

Posted Feb 03, 2025

View Details Apply on The Muse

CDL-A Lease Purchase Driver - SAP Friendly

Company:

Location: Belleville, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Sales Analyst

Company:

Location: Niles, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Retail Sales Merchandiser

Company:

Location: St. Charles, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Retail Sales Merchandiser

Company:

Location: Joliet, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Senior Electrical Project Engineer

Company: GE Vernova

Location: Oakbrook, IL / Remote

Posted Feb 03, 2025

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CDL-A Lease Purchase Driver - SAP Friendly

Company:

Location: Belleville, IL

Posted Feb 03, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are the typical salary ranges by seniority in Data Analysis?
Entry‑level analysts earn roughly $55,000–$75,000. Mid‑level analysts command $80,000–$110,000. Senior analysts can expect $115,000–$145,000. Lead analysts often see $150,000–$180,000, while analytics managers range $160,000–$200,000. These ranges reflect current listings on the platform.
Which skills and certifications are most valuable for Data Analysts?
Core skills: SQL, Python or R, Tableau/Power BI, Excel, statistical modeling, data wrangling, and data storytelling. Certifications that boost market value include Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, and Snowflake SnowPro Core Certification.
How common is remote work in Data Analysis roles?
Approximately 70% of listings support remote or hybrid arrangements. Remote positions typically require reliable VPN access, data‑governance compliance, and strong communication tools. Popular remote‑friendly firms include Atlassian, Salesforce, and Twilio.
What career progression paths exist for Data Analysts?
Typical paths: Data Analyst → Senior Analyst → Analytics Lead → BI Developer/Data Engineer → Data Architect → Analytics Manager → Director of Analytics. Progression relies on deepening technical expertise, obtaining advanced certifications, and developing leadership or project‑management skills.
What industry trends are shaping the future of Data Analysis?
Real‑time streaming analytics, AI‑driven insights, and cloud data platforms (Snowflake, BigQuery, Redshift) are accelerating. Sectors like healthcare, fintech, and marketing demand data analysts who can merge machine learning with storytelling and adhere to strict data‑governance standards.

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