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Entry Level Data Analyst Jobs in Elmhurst, IL (NOW HIRING)

Entry Level Building Performance Analyst Firm Overview Do more than just build! At dbHMS, we are a ... Analyzing building performance data and identifying opportunities for improvement. * Thinking ...

Entry Level Finance Opportunities Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI ... Analyze customer data and documentation such as invoices, tax exemption certificates, and financial ...

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Entry Level Data Analyst information

See Elmhurst, IL salary details

$13

$32

$61

How much do entry level data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level data analyst in Elmhurst, IL is $32.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $36.63 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are the most commonly searched types of Data Analyst jobs in Elmhurst, IL?

The most popular types of Data Analyst jobs in Elmhurst, IL are:

What are popular job titles related to Entry Level Data Analyst jobs in Elmhurst, IL?

For Entry Level Data Analyst jobs in Elmhurst, IL, the most frequently searched job titles are:

What cities near Elmhurst, IL are hiring for Entry Level Data Analyst jobs?

Cities near Elmhurst, IL with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Elmhurst, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $68,212 per year, or $32.8 per hour.

Junior Security Analyst

The University of Chicago

Chicago, IL • On-site

$24.04 - $31.25/hr

Full-time

Medical, Retirement, PTO

Re-posted 14 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

167th of 621 rated colleges and universities


Job description

Department
BSD CTD - Security
About the Department
The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https://stats.gen3.org/ and https://ctds.uchicago.edu/.
Job Summary
The Center for Translational Data Science (CTDS) is seeking a highly motivated Junior Security Analyst who is passionate about information security. In this hands-on, entry-level role, you will support the protection of multi-petabyte scale data on platforms like GDC and Gen3 data commons while actively collaborating with cross-functional teams. Your
eagerness to learn is just as important as your current skill set. We are committed to mentorship, fostering your growth as a well-rounded practitioner who moves beyond administrative tasks to provide meaningful security support, stays up to date on emerging threats, and advocates for the improvement of CTDS's products and services. If you are ready to soak up knowledge and make a tangible impact on the security of critical data science initiatives, we want to hear from you.
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Responsibilities
  • Support day-to-day security operations and triage incoming security tickets.
  • Support the vulnerability management lifecycle to help identify, track, and remediate risks.
  • Assist the team with basic incident response, monitoring, log analysis and reporting.
  • Write and maintain basic Python scripts to help automate routine security tasks.
  • Contribute to ongoing security projects, such as our transition to a zero-trust network access model.
  • Provide necessary support for pulling supporting Governmental reporting paperwork and compliance documentation.
  • Under close supervision, performs basic technical support procedures to ensure the safety of information systems. Identifies potential hardware and software deficiencies on systems such as web servers, mail servers, routers, firewalls and intrusion detection systems.
  • Learns fundamental security penetration tests to identify system vulnerability against malicious code, system exploitation using SQL injection, cross-site scripting, buffer overflows, parameter tampering, hidden field manipulation, cookie poisoning, and web services manipulation.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include vocational training, apprenticeships or the equivalent experience in related field (not typically required to have a four-year degree).
Work Experience:
Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Education:
  • Associate or bachelor's degree in progress within cybersecurity, computer science, or a related field.

Experience:
  • Foundational understanding of basic security principles and IT operations.
  • Familiarity with Python and a genuine interest in improving your scripting abilities.

Preferred Competencies
  • Strong willingness to learn, ask questions, and adapt to new challenges.
  • Ability to respond to changing priorities and operate effectively in a dynamic demand-based environment, requiring extreme flexibility and responsiveness.
  • Ability to build trust and work effectively with cross-functional teams.
  • Ability to present information in a consistent and concise manner.
  • Strong written and verbal communication skills and ability to foster collaborative working relationships.

Working Conditions
  • Hybrid office/remote.

Application Documents
  • Resume/CV (required)
  • Cover Letter (preferred)

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
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
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Hourly
FLSA Status
Non-Exempt
Pay Range
$24.04 - $31.25
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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