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Entry Level Data Analyst Opt Jobs in Chicago, IL

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 ...

New

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 ...

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

As of Aug 7, 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 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.

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.
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Entry Level Data Analyst Opt jobs near you

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 2 days ago

New

Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. 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 and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.

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