ethics, creative thinking, and critical thinking. Intermediate proficiency in mathematics, statistics and operations research; big data; data visualization; computational thinking and programming; data wrangling and prep…
Data Analyst jobs in Chicago, IL
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
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Open data analyst roles
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build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our cu…
Partner with clients to understand business objectives, challenges, and data requirements across pricing, promotion, assortment, and trade spend, and translate them into data and analytics solution designsDefine data and…
Data Analyst Duration: 6+ m Contract Location: Chicago, IL(1-2 days onsite a week) Details: Primarily focused on data analysis, data integrity, and data management. Support an automated data ecosystem and work closely wi…
integrity of our marketsand our partners' programs by catching fraud and abuse before it costs anyone money. As aStaff Product Data Analyst, you'll own building and maintaining the in-house detection layer— the models an…
send your resume to ****@*****.*** Portfolio Data & Analytics team is responsible for ongoing portfolio company performance... ...analysis supporting investor relations. The Reporting Assurance Analyst will play a critic…
how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Data Analyst, Exploration you will play an integral role in all operational aspects of onboarding, m…
s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Data Analyst, Stewardship you will play an integral role in all operational aspects of onboarding,…
Full Job Description Job Description: Must Have: Proficiency in SQL Good knowledge of Master Data Management (MDM) Data Analysis and Data Validation ETL Design, Development, and Optimization Data Integration and Data Qua…
Primary Responsibilities Manage the review and analysis of master data maintenance requests and determine appropriate corrective actions. Ensure accurate master data is maintained across key systems and business processe…
~ Paid time off and Holiday pay Description Application Data Coordinator Rad Oncs for Warrenville, IL location. Lead data collection... ...related field plus 5 years of progressive experience as a Data Analyst or similar…
Title: Program Operations Data Analyst – Automation & Vendor Coordination Location: Remote – Chicago-Based Preferred, Occasional Travel Required (up to 3 trips during the 9-month engagement) Duration: 9-Month Contract wi…
What data analysts earn in Chicago
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $28–$41 | $59k–$86k |
| Mid level | $41–$54 | $86k–$113k |
| Senior | $52–$70 | $108k–$146k |
Adjusted for the Chicago market from national ranges.
What employers ask for
The skills these listings keep naming
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
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