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.

Packaging Engineer Manager

Company:

Location: Schaumburg, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Software Development Team Lead - Java

Company:

Location: Gurnee, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Campaign Manager

Company:

Location: Deerfield, IL

Posted Jan 25, 2025

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Human Resources Analyst

Company:

Location: Mundelein, IL

Posted Jan 25, 2025

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Human Resources Analyst

Company:

Location: Gurnee, IL

Posted Jan 25, 2025

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Shift Supervisor Trainee

Company: CVS Health

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Associate Category Manager

Company:

Location: Gurnee, IL

Posted Jan 25, 2025

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Microsoft 365 System Administrator

Company:

Location: Deerfield, IL

Posted Jan 25, 2025

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successful company long-term private equity investments strategic and relationship-driven approach

Senior Associate, Portfolio Management

Company: Bisnow Media

Location: Chicago, IL

Posted Jan 25, 2025

The text describes a Senior Associate position in the Portfolio Management team of a successful investment advisor, SelectLeaders Client. The company, with over $20 billion in assets, focuses on long-term private equity investments in real estate operating companies (REOCs) across industrial, residential, and retail sectors. The role involves valuing, tracking, analyzing, and reporting on the existing operating portfolio, contributing to strategic decision-making. The ideal candidate should have 4-9 years of experience in commercial real estate valuation, strong quantitative analysis skills, and proficiency in Argus Enterprise and Excel. The position offers a competitive salary range of $105k-$175k, a target bonus of 15-20%, and opportunities for learning, development, and impactful work.

View Details Apply on BuiltIn

Creative Project Manager

Company:

Location: Schaumburg, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Shift Supervisor Trainee

Company: CVS Health

Location: North Riverside, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Packaging Engineer Manager

Company:

Location: Deerfield, 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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