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.

Area Business Manager, Chicago, IL

Company: Blueprint Medicines

Location: Chicago, IL / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

J.P. Morgan Wealth Management - Private Client Advisor - Chicago North Suburbs

Company: JPMorgan Chase

Location: Deerfield, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Account Manager, Mid Market

Company: Meta

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse
cloudbased fullycustomizable endtoend software solution thought leadership in suitability and risk management industryleading education and the latest technology

Solutions Architect

Company: Supernova Technology

Location: Chicago, IL

Posted Jan 25, 2025

Supernova Technology, founded in 2014, offers a cloud-based, customizable software solution for securities-based lending. The Solutions Architect role involves gathering client needs, designing system architecture, and overseeing implementation. The company values innovation, collaboration, and continuous learning, with a robust benefits package including medical, dental, vision insurance, retirement savings, and more.

View Details Apply on BuiltIn

Food Service Worker - Bradley University

Company: Aramark

Location: Peoria, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Custodial Services Worker

Company: Aramark

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Mgr, Account Management Sales Development (Central)

Company: CVS Health

Location: Springfield, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Wind Turbine Technician II -Big Sky, Ohio IL

Company: Vestas

Location: Amboy, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Corporate Paralegal

Company: Meta

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Cyber Planner & Project Manager

Company: Leidos

Location: O'Fallon, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Salesforce Marketing Cloud Technical Lead (Hybrid)

Company: Enova

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Principal Business Data Steward (Marketing and Analytics Tag Governance and Monitoring)

Company: Discover

Location: Riverwoods, IL

Posted Jan 25, 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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