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Internship Data Analyst Opt Jobs in Addison, IL (NOW HIRING)

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 ...

Data Analyst Location: Chicago, IL Duration: Contract - 4 months Pay Range: $30/hr (W2) About ... Bachelor's degree preferred; fresh graduates with relevant internships considered. Role Details ...

Experience presenting data or project findings (in classrooms, internships, or past roles) with clarity and enthusiasm; you are eager to step into a client-facing spotlight. * Strong analytical ...

Experience presenting data or project findings (in classrooms, internships, or past roles) with ... Strong analytical skills paired with an appetite for solving puzzles, questioning data anomalies ...

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

Senior Data Analyst

Chicago, IL

$88K - $111K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

Product Data Analyst

Chicago, IL · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) * SQL fluency -- complex joins, incremental computation, window functions ...

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Internship Data Analyst Opt information

See Addison, IL salary details

$12

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

As of Aug 12, 2026, the average hourly pay for internship data analyst opt in Addison, IL is $22.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $24.57 per hour, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as an internship data analyst opt?

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 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 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.
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Full-time

Re-posted 23 days ago


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