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Internship Data Analyst Opt Jobs in Naperville, IL

Apex Informatics

Data Analyst

Chicago, IL · On-site

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Apex Informatics

Data Analyst

Chicago, IL · Hybrid

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

SynergisticIT

Data Analyst

Elk Grove Village, IL · On-site +1

All visa types are welcome, including F1/OPT, CPT, H-1B, and U.S. citizens. We also assist eligible ... Data Analysts & Data Visualization Engineers * Business Intelligence Analysts * Data Scientists ...

SynergisticIT

Data Analyst

Carol Stream, IL · On-site

... data analysts/data scientists, and machine learning engineers. Who Should Apply Recent computer ... Different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the ...

Cooper Companies

Data Analyst

Naperville, IL

$70K - $97K/yr

... STEM OPT extensions, TN, etc.) You Have: * 2-4 years of experience in a Data Analyst role ... Bachelor's degree in Computer Science, MIS, or a related technical field * Deep expertise in data ...

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SynergisticIT

Data Analyst

Chicago, IL · On-site

... OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA. Required skills for Java ... Excellent written and verbal communication skills Required skills for data science/machine learning:

SynergisticIT

Sr. Data Analyst

Chicago, IL · On-site

$88.70K - $111.90K/yr

Exploratory Data Analysis, visualization, statistical inference * Dashboard design, KPI reporting ... International candidates on OPT/STEM needing placement and visa security * Anyone tired of applying ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

Data Analyst Chicago Public Schools (CPS) is a district on the rise, serving over 325,000 students ... Up to 1 year of full-time, data-related internship experience may be considered against this ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

The Data Analyst will be held accountable for the following responsibilities: * Proficiently ... Up to 1 year of full-time, data-related internship experience may be considered against this ...

SynergisticIT

Junior Marketing Data Analyst

Chicago, IL · On-site

... Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent Computer ... OPT/H4EAD/L2EAD ) who want to get employed and settle down in the USA please check the below links ...

Segal

Health Benefits Data Analyst

Chicago, IL · Remote

$62.50K - $75K/yr

The Health Benefits Data Analyst is a key contributor within a fast-growing segment of Segal ... Previous internships and general industry knowledge are a plus. * Knowledge of providers, products ...

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Internship Data Analyst Opt information

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How much do internship data analyst opt jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship data analyst opt in Naperville, IL is $22.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Analyst, and why are they important?

To thrive as an Internship Data Analyst, you need a solid grasp of statistics, data analysis, and proficiency in spreadsheet and database tools, often supported by coursework in data science or related fields. Familiarity with programming languages such as Python or R, data visualization tools like Tableau, and Excel is commonly required. Strong problem-solving skills, attention to detail, and effective communication set outstanding candidates apart. These abilities are crucial for accurately interpreting data, drawing actionable insights, and clearly presenting findings to support business decisions.

What kinds of projects or tasks can an Internship Data Analyst Opt expect to work on during their internship?

As an Internship Data Analyst Opt, you can expect to work on projects such as data cleaning, preparing reports, visualizing data trends, and supporting more senior analysts with ad hoc analyses. Interns often participate in team meetings to present findings and collaborate with colleagues from different departments, such as marketing or finance, to help solve real business problems. This hands-on experience not only strengthens technical skills but also provides insight into how data-driven decisions are made within an organization. Additionally, you'll likely use tools like Excel, SQL, or Python, gaining practical exposure to industry-standard technologies.

What is an Internship Data Analyst Opt?

An Internship Data Analyst OPT is a student or recent graduate, typically on Optional Practical Training (OPT) status, who works in a temporary internship role focused on data analysis. Their responsibilities include collecting, processing, and interpreting data to help organizations make informed decisions. These internships provide practical experience in data analysis tools and techniques, often using software like Excel, SQL, or Python. It is a valuable opportunity for international students in the U.S. to gain real-world experience in their field of study.

What is the difference between Internship Data Analyst Opt and Data Analyst?

AspectInternship Data Analyst OptData Analyst
Required CredentialsTypically pursuing or recent graduate, some certificationsOften requires a bachelor's degree, certifications like SQL or Excel
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, more responsibilities
Employer & Industry UsageInternship programs in various industriesFull-time roles across industries like finance, healthcare, tech

The Internship Data Analyst Opt is an entry-level, learning-focused position often held by students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibilities. Both roles are common in similar industries and may require basic data skills, but the internship is designed as a stepping stone to a full analyst position.

What are the most commonly searched types of Data Analyst Opt jobs in Naperville, IL? The most popular types of Data Analyst Opt jobs in Naperville, IL are:
What are popular job titles related to Internship Data Analyst Opt jobs in Naperville, IL? For Internship Data Analyst Opt jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Internship Data Analyst Opt jobs in Naperville, IL look for? The top searched job categories for Internship Data Analyst Opt jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Internship Data Analyst Opt jobs? Cities near Naperville, IL with the most Internship Data Analyst Opt job openings:
Internship Data Analyst Opt jobs near you
Infographic showing various Internship Data Analyst Opt job openings in Naperville, IL as of May 2026, with employment types broken down into 75% Full Time, 13% Part Time, 4% Temporary, and 8% Nights. Highlights an 45% Physical, 32% Hybrid, and 23% Remote job distribution, with an average salary of $46,739 per year, or $22.5 per hour.
Data Analyst

Data Analyst

Apex Informatics

Chicago, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus

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