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Entry Level Data Analyst Government Jobs in Chicago, IL

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 ...

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 ...

Data Analyst

Chicago, IL · On-site

$18/hr

... government, and healthcare markets. We're looking for a friendly, professional, and motivated Data ... Our Data Analysts analyze, identify, and interpret patterns and trends in client data utilizing ...

Data Analyst I Lincolnshire, IL 6 month assignment Shift: 1st Hours: 8am-5pm 40 hours per week ... Non Government * Does the position allow for the worker to be virtual/remote? : Yes but Onsite ...

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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Entry Level Data Analyst Government information

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$33

$63

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

As of Aug 27, 2026, the average hourly pay for entry level data analyst government 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 does an entry level data analyst do in government?

An Entry Level Data Analyst in government is responsible for collecting, organizing, and analyzing data to support decision-making and improve public services. They often work with large datasets, use statistical tools, and create reports or visualizations to communicate findings to colleagues and stakeholders. Typical tasks may include cleaning data, identifying trends, and helping departments use data to increase efficiency or transparency. This role is a great starting point for those interested in public sector analytics and policy development.

What are the key skills and qualifications needed to thrive as an entry level data analyst in government?

To thrive as an Entry Level Data Analyst in government, you need a solid grounding in statistics, data analysis, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and programming languages such as SQL or Python is typically expected. Attention to detail, critical thinking, and strong written and verbal communication skills help you interpret data and present findings to non-technical stakeholders. These abilities are vital for ensuring accurate, actionable insights that inform public policy and improve government operations.

What are some common challenges faced by entry level data analysts working in a government setting?

Entry-level data analysts in government often encounter challenges such as navigating complex bureaucratic processes, working with legacy data systems, and ensuring data privacy and compliance with public sector regulations. Additionally, they may need to communicate technical findings to non-technical stakeholders and adapt to evolving policy priorities. However, these challenges provide valuable experience in problem-solving, cross-functional collaboration, and understanding the impact of data-driven decisions on public services.

Can I be an entry level data analyst government with no experience?

Entry level data analyst positions in government often require some familiarity with data analysis tools like Excel or SQL, but many roles are open to candidates with little to no professional experience if they demonstrate relevant skills or education. Internships, certifications, or coursework in data analysis can improve chances of securing such roles. Employers may also consider transferable skills from related fields or academic projects.

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

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

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

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

Infographic showing various Entry Level Data Analyst Government job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $70,552 per year, or $33.9 per hour.

Entry-Level Data Analyst

Chicago, IL • On-site

Synergie Systems
Recruiting and Staffing Services • 11 - 50 employees

Other

Posted 9 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.