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Entry Level Data & Analytics 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

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 ...

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Entry Level Data Analytics information

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How much do entry level data & analytics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for entry level data & analytics in Chicago, IL is $83,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $99,400.00 per year, depending on experience, location, and employer.

What is an entry level data & analytics?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

What does an entry level data & analytics do?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

What are the key skills and qualifications needed to thrive in the entry level data & analytics position?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Can I get into entry level data & analytics with no experience?

Entry level data and analytics roles often do not require prior professional experience; instead, they focus on foundational skills such as Excel, SQL, or basic data visualization tools. Candidates can improve their chances by completing relevant online courses, certifications, or projects to demonstrate their ability to work with data.

How can I start a career in data & analytics?

To start a career in data & analytics, focus on developing skills in data analysis, statistics, and programming languages like Python or R. Gaining proficiency with tools such as Excel, SQL, and data visualization software, along with obtaining relevant certifications or a degree in a related field, can improve job prospects. Entry-level roles often require a strong foundation in data concepts and the ability to interpret and communicate insights effectively.

What are some entry level data & analytics roles?

Entry level data and analytics roles include positions such as Data Analyst, Business Analyst, Data Technician, and Junior Data Scientist. These roles typically require skills in Excel, SQL, and basic statistical tools, and often serve as starting points for careers in data analysis and data management.

What are the most commonly searched types of Data & Analytics jobs in Chicago, IL?

The most popular types of Data & Analytics jobs in Chicago, IL are:

What are popular job titles related to Entry Level Data & Analytics jobs in Chicago, IL?

For Entry Level Data & Analytics jobs in Chicago, IL, the most frequently searched job titles are:

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

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

What cities near Chicago, IL are hiring for Entry Level Data & Analytics jobs?

Cities near Chicago, IL with the most Entry Level Data & Analytics job openings:

Entry Level Data Analytics jobs near you
Infographic showing various Entry Level Data & Analytics 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 $83,976 per year, or $40.4 per hour.

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

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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