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Data Analyst Opt Jobs in Chicago, IL (NOW HIRING)

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 ...

TransUnion

Senior Data Analyst

Chicago, IL

$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

Transunion

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

Transunion

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

Trans Union LLC

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

TransUnion

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

Sonsoft Inc

Big Data/Cloud

Chicago, IL

Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ... No OPT-EAD, TN Visa & H1B Consultants please. * Please mention your Visa Status in your email or ...

INISGHT2PROFIT

Summer Analyst

Chicago, IL

$30/hr

You will analyze data, build models, and identify trends to help clients make informed business ... This includes individuals with OPT or STEM OPT. #LI-DNI Employment Type: OTHER

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All JobsData Analyst Opt JobsData Analyst Opt Jobs in Chicago, IL

Data Analyst Opt information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do data analyst opt jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data analyst opt 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 are some of the primary challenges faced by Data Analyst Opt professionals, and how can they be overcome?

Data Analyst Opt professionals often face challenges such as managing large, complex data sets, ensuring data accuracy, and presenting findings in a way that is easily understood by non-technical stakeholders. Collaborating closely with cross-functional teams and effectively prioritizing tasks can help manage workload and clarify project objectives. Staying updated on the latest data tools and best practices is also important for efficient data processing and analysis. Many analysts overcome these challenges by investing in continuous learning, seeking mentorship, and proactively communicating with team members to ensure clear understanding of data needs and business goals.

What are the key skills and qualifications needed to thrive in the Data Analyst Opt position, and why are they important?

A Data Analyst Opt typically requires strong analytical skills, a background in statistics or mathematics, and proficiency in data management, often supported by a relevant degree. Familiarity with tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI, as well as relevant certifications, is highly valued. Exceptional attention to detail, effective communication, and problem-solving skills help analysts turn complex data into actionable insights for stakeholders. These abilities are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational success.

What is a Data Analyst Opt job?

A Data Analyst OPT job is a position for international students on an F-1 visa who are authorized to work in the U.S. under the Optional Practical Training (OPT) program. These roles involve analyzing data, creating reports, and helping businesses make data-driven decisions. Common tasks include data cleaning, visualization, and using tools like SQL, Python, or Excel. OPT jobs allow recent graduates to gain practical experience in their field while complying with visa regulations.

What are the most commonly searched types of Data Analyst Opt jobs in Chicago, IL? The most popular types of Data Analyst Opt jobs in Chicago, IL are:
What are popular job titles related to Data Analyst Opt jobs in Chicago, IL? For Data Analyst Opt jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Opt jobs in Chicago, IL look for? The top searched job categories for Data Analyst Opt jobs in Chicago, IL are:
Data Analyst Opt jobs near you
Infographic showing various Data Analyst Opt job openings in Chicago, IL as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Data Analyst

Apex Informatics

Chicago, IL • On-site

Full-time

Re-posted 12 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

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