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Entry Level Statistical Analyst 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 ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

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.

Sralab

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 ...

Shirley Ryan AbilityLab

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 ...

Cccis

Financial Intelligence Analyst

Chicago, IL

Finance, Accounting, Economics, Data Science, Statistics, Mathematics, Computer Science, Industrial ... Interest in how a business operates end to end Why This Role Most entry-level finance roles give ...

New

Iatinsurancegroup

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 ...

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All JobsStatistical Analyst JobsEntry Level Statistical Analyst JobsEntry Level Statistical Analyst Jobs in Chicago, IL

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 Aug 23, 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:

What are popular job titles related to Entry Level Statistical Analyst jobs in Chicago, IL?

For Entry Level Statistical Analyst jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistical Analyst jobs in Chicago, IL look for?

The top searched job categories for Entry Level Statistical Analyst jobs in Chicago, IL are:

Entry Level Statistical Analyst jobs near you
Infographic showing various Entry Level Statistical Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $72,631 per year, or $34.9 per hour.

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 6 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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