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Entry Level Statistical Analyst Jobs in Chicago, IL

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.

Financial Analyst

Chicago, IL · On-site

$52.30 - $89.50/hr

Perform financial risk and care/cost variation analysis including some advanced statistical ... * Entry level to 2 years of experience with basic financial skills, including a working ...

Financial Analyst

Chicago, IL · Hybrid

$52K - $89K/yr

Perform financial risk and care/cost variation analysis including some advanced statistical ... * Entry level to 2 years of experience with basic financial skills, including a working ...

Financial Analyst

Chicago, IL · On-site

$52K - $89K/yr

Perform financial risk and care/cost variation analysis including some advanced statistical ... * Entry level to 2 years of experience with basic financial skills, including a working ...

Financial Analyst

Chicago, IL · On-site

$52.30 - $89.50/hr

Entry level to 2 years of experience with basic financial skills, including a working understanding ... statistics, optimization, and Monte Carlo simulation tool) preferred..Able to grasp and apply new ...

Bachelor's degree in business, finance, management, economics, statistics, actuarial science, data science, data analytics, mathematics, engineering, computer science or a related field. Anticipated ...

New

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Familiarity with bureau / statistical reporting and insurance regulatory data. * Exposure to Agile ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Demonstrate familiarity or interest in statistical analysis or data mining through previous ...

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Entry Level Statistical Analyst information

See Chicago, IL salary details

$30.9K

$72.6K

$121.1K

How much do entry level statistical analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for entry level statistical analyst in Chicago, IL is $72,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $83,500.00 per year, depending on experience, location, and employer.

What is an entry level statistical analyst?

An Entry Level Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical techniques and software to identify trends, create reports, and support business or research objectives. Common tasks include data cleaning, running statistical tests, and developing visualizations. This role typically requires proficiency in tools like Excel, SQL, R, or Python, as well as a strong foundation in statistics and data analysis. It is a great starting point for individuals looking to build a career in data science, business analytics, or research.

What are some typical projects or responsibilities for an entry level statistical analyst?

As an Entry Level Statistical Analyst, you can expect to work on tasks like collecting and cleaning data, running statistical tests, creating basic reports, and assisting senior analysts with larger research projects. You may be asked to prepare visualizations, help identify trends or anomalies, and support the decision-making process by presenting findings to team members or stakeholders. Collaboration is common, as analysts often work alongside data engineers, business analysts, and project managers. This hands-on work provides excellent learning opportunities and helps build a strong foundation for career advancement.

What are the key skills and qualifications needed to thrive in the entry level statistical analyst position, and why are they important?

To thrive as an Entry Level Statistical Analyst, you need a solid foundation in statistical methods, data analysis, and a relevant degree in statistics, mathematics, or a related field. Familiarity with tools such as Excel, SQL, R, or Python, and knowledge of data visualization platforms like Tableau or Power BI, is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings in a clear manner help set candidates apart. These skills ensure accurate data interpretation, effective collaboration, and the ability to provide actionable insights that support business goals.

What are the most commonly searched types of Statistical Analyst jobs in Chicago, IL?

The most popular types of Statistical Analyst jobs in Chicago, IL are:

Infographic showing various Entry Level Statistical Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $72,631 per year, or $34.9 per hour.

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 28 days ago


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.