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Entry Level Data Analyst Opt Jobs in Chicago, IL

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and analyze data from multiple sources. · Write SQL queries to extract and manipulate data. · Create ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

The LaSalle Group

Tableau Data Analyst

Evanston, IL · On-site

$40 - $50/hr

Our client is seeking a Tableau Data Analyst to support critical reporting, dashboarding, and ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Transunion

Data Operations Analyst

Chicago, IL · On-site

Analyze data, test results, and program outputs to ensure accuracy, integrity, and alignment with ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

TransUnion

Data Operations Analyst

Chicago, IL · On-site

Analyze data, test results, and program outputs to ensure accuracy, integrity, and alignment with ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

Transunion

Data Operations Analyst

Chicago, IL · On-site

Analyze data, test results, and program outputs to ensure accuracy, integrity, and alignment with ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

TransUnion

Data Operations Analyst

Chicago, IL

Analyze data, test results, and program outputs to ensure accuracy, integrity, and alignment with ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

Trans Union LLC

Data Operations Analyst

Chicago, IL · On-site

Analyze data, test results, and program outputs to ensure accuracy, integrity, and alignment with ... You can also opt into a legal plan, pet insurance, and travel accident coverage. For Your Family

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

As of Aug 29, 2026, the average hourly pay for entry level data analyst opt in Chicago, IL is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.88 per hour, depending on experience, location, and employer.

What is an entry level data analyst OPT?

An Entry Level Data Analyst OPT is a recent graduate who is authorized to work in the United States under the Optional Practical Training (OPT) program, typically after completing a degree in a field related to data analysis. These analysts are responsible for collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, and basic statistical software, and work under the guidance of more experienced data professionals. OPT allows international students to gain practical work experience in their field of study for up to 12 months (or 36 months for STEM majors).

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 a solid background in statistics, data interpretation, and proficiency with spreadsheet software, often supported by a bachelor's degree in a related field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These skills and qualities are essential for accurately analyzing data, generating actionable insights, and clearly presenting findings to support business decisions.

What are some common challenges faced by entry level data analysts and how can they be overcome?

Entry-level data analysts often encounter challenges such as working with incomplete or messy datasets, learning new analytical tools, and effectively communicating findings to non-technical stakeholders. To overcome these hurdles, it's helpful to develop strong data cleaning and preprocessing skills, seek mentorship from experienced colleagues, and practice translating data insights into clear, actionable recommendations. Embracing continuous learning and collaborating closely with team members from various departments can also accelerate your growth and confidence in the role.

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Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 12 days ago

Job description

Job Title: Entry-Level Data Analyst

Location: Chicago, IL

Job Type: Only W2

Job Description:

·       Collect, clean, and analyze data from multiple sources.

·       Write SQL queries to extract and manipulate data.

·       Create reports and dashboards using tools such as Power BI or Tableau.

·       Perform data validation and identify data quality issues.

·       Analyze trends, patterns, and business performance metrics.

·       Prepare daily, weekly, and monthly reports.

·       Support senior analysts and business teams with ad-hoc data requests.

·       Maintain and update datasets, reports, and dashboards.

·       Communicate analytical findings to technical and non-technical stakeholders.

·       Document data sources, processes, and reporting procedures.

·       Assist with automating repetitive reporting tasks.

Required Skills:

·       SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations.

·       Excel — PivotTables, VLOOKUP/XLOOKUP, formulas, charts, data cleaning.

·       Basic understanding of data analysis and statistics.

·       Familiarity with Power BI or Tableau.

·       Good analytical and problem-solving skills.

·       Strong attention to detail.

·       Good written and verbal communication skills.

Preferred Skills:

·       Python, especially Pandas and NumPy.

·       Power BI/DAX or Tableau.

·       Basic knowledge of relational databases.

·       Understanding of ETL/data pipelines.

·       Basic knowledge of statistics.

·       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·       Experience working with large datasets.

Qualifications:

·       Bachelor’s degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering, or a related field.

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