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Full Stack Data Analyst Jobs in Chicago, IL (NOW HIRING)

Contributing to technical analysis, solution design, and delivery activities that support client ... Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied ...

Full-Stack Engineer

Chicago, IL · On-site

$180K - $240K/yr

The data ingestion and prediction layer. The platform ingests a continuous stream from carriers ... You're genuinely full-stack: comfortable across backend, frontend, and APIs. You have production ...

As a part of this vision, Zynga Analytics partners with studios to release and grow multiple games, while also owning the analytics stack and central tools. Zynga's Data Science and Analytics team ...

Senior Full Stack Engineer

Chicago, IL · Hybrid

$120K - $130K/yr

Fitch Group is currently seeking a Senior Software Engineer, Full Stack Engineer based out of our ... data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.

Senior Full Stack Engineer

Chicago, IL · On-site

$120K - $130K/yr

Fitch Group is currently seeking a Senior Software Engineer, Full Stack Engineer based out of our ... data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.

We are looking for a smart and passionate Full stack engineer to join our team. * You will be ... Expertise in object-oriented programming, data structure, and algorithms. * Effective verbal and ...

... analytics stack and central tools. Zynga's Data Science and Analytics team uses our unique and ... full participation in the job application or interview process. Please contact us at ...

Senior Full Stack Developer

Chicago, IL · On-site +1

$70K - $140K/yr

Senior Full Stack Developer - In this senior role, the successful candidate will Design, Develop ... Architect, Analyze, Design, and Develop REST APIs for Enterprise Content Management (ECM) Systems.

Sr. Full Stack Engineer

Mundelein, IL · Remote

$140K - $160K/yr

Strong analytical and problem-solving skills * Flexible, team player * Ability to organize and plan ... If you would like more information about how your data is processed, please contact us.

Senior Full Stack Developer

Chicago, IL · On-site +1

$70K - $140K/yr

Senior Full Stack Developer - In this senior role, the successful candidate will Design, Develop ... Architect, Analyze, Design, and Develop REST APIs for Enterprise Content Management (ECM) Systems.

Showing results 41-60

Full Stack Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do full stack data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full stack data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or R. They possess skills across data management, analysis, and presentation, enabling them to work independently on end-to-end data projects.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What are popular job titles related to Full Stack Data Analyst jobs in Chicago, IL? For Full Stack Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in Chicago, IL look for? The top searched job categories for Full Stack Data Analyst jobs in Chicago, IL are:
Infographic showing various Full Stack Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

156th of 616 rated colleges and universities


Job description

Department
Globus Labs
About the Department
Globus (www.globus.org) is a sustainable, non-profit unit within The University of Chicago delivering solutions to the research community worldwide. Globus develops and provides critical services that support scientific research for governmental, academic, and commercial organizations in a wide range of disciplines including life sciences, physics, and astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large-and growing-data management challenges. We have offices located at the NBC Tower in the heart of downtown Chicago and remote employees who work-from-home. Globus, together with Globus Labs, a research group within the University of Chicago, and part of the Data Science and Learning Division at Argonne National Labs, develop and deploy cutting edge technologies to solve new challenges facing the scientific community and enable break-through scientific discoveries.
Job Summary
As a member of the Globus team, the candidate will contribute to the design and development of hybrid agentic middleware. This is a full-stack engineering role focused on building production-quality cloud services that are used by thousands of researchers and serve as critical components in major U.S. cross-agency data and AI for Science initiatives. The candidate will also collaborate with domain scientists to develop and deploy agentic systems that address real-world challenges in materials science, chemistry, biology, X-ray science, and related fields.
The successful candidate will play a key role in both the development and application of agentic middleware, working closely with a multidisciplinary team of software engineers and researchers. Responsibilities include designing and implementing full-stack applications, spanning backend services, APIs, and open-source software, with a primary focus on Python-based, scalable, and robust systems deployed in cloud environments. The role involves building, deploying, and managing cloud-native services, ensuring reliability, performance, and usability in production settings.
The candidate will ensure that all research and development activities comply with institutional, state, and federal policies and regulations, and will disseminate results through presentations at meetings and conferences. In addition, they will independently initiate and lead new efforts in collaboration with the Globus and Globus Labs teams-spanning problem identification, project conceptualization, proposal development, and successful implementation and delivery.
Responsibilities
  • Contribute to development of software infrastructure to support creation of agentic systems.
  • Deploy and operate cloud hosted services for use by the research community.
  • Build relationships with other AI/ML and data infrastructure community efforts.
  • Define key directions to keep UChicago at the forefront of AI/ML and national data infrastructure.
  • Ensure compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives, and mandates.
  • Present findings at meetings and/ or conferences.
  • Lead the definition and documentation of requirements, architecture and design of secure, scalable, asynchronous, agentic systems, based on knowledge of principles of API design, asynchronous processes, service deployment and delivering highly available services. Define technical direction, and provide leadership for product initiatives. Engage with other leaders in the organization to develop end-to-end architecture and high-level systems designs. Prepare plans to translate business requirements into well-designed applications while balancing user and business needs, technical competencies, industry developments, and time constraints.
  • Maintain a leadership role in the AI/ML and data infrastructure community. Build and maintain knowledge of relevant software technologies being developed and/or used in scientific and commercial communities; contribute to team coordination and development activities, including project planning, project reporting, and recruitment.
  • Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.
  • Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Experience:
  • Relevant programming experience developing, implementing, debugging, and maintaining applications with Python.
  • Experience working with high performance computers (e.g., parallelizing and distributing code).
  • Experience in distributed data management and workflow systems.
  • Experience leading the design, development and publication of innovative projects in AI/ML solutions.

Preferred Competencies
  • Ability to build systems where agents operate with independence, make decisions, and execute complex workflows.
  • Expertise in engineering modular, dynamic workflows for agents, breaking problems into sub-tasks and designing feedback loops for ongoing improvement.
  • Understanding of patterns, where multiple agents collaborate and specialize within larger systems for scalability and robustness.
  • Competence in equipping agents with planning capabilities, persistent memory across sessions/tasks, and causal/logical reasoning to enhance autonomy and effectiveness.

Working Conditions
  • Ability to work in a team environment.
  • Remote position with some onsite requirements for team meetings and site visits.
  • Requires the ability to work independently.

Application Documents
  • Resume (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Information Technology
Role Impact
Individual Contributor
Scheduled Weekly Hours
37.5
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$100,000.00 - $150,000.00
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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