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Entry Level Google Data Analyst Jobs in Chicago, IL

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

... Google Cloud Platform. · Experience working with large datasets. Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering ...

Publicis Groupe Holdings B.V

Data Analyst

Chicago, IL · Hybrid

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Experience with digital marketing analytics tools such as Google Analytics, Adobe Analytics, and ...

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 ...

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 ...

Sidley

Data Collection Senior Analyst

Chicago, IL · Hybrid

$98K - $150K/yr

The Data Collection Senior Analyst supports clients and matter teams by executing defensible ... Google Vault) * Strong documentation and reporting skills, demonstrated by the ability to produce ...

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

As of Aug 22, 2026, the average hourly pay for entry level google data analyst 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 Google data analyst?

Entry Level Google Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. At Google, these analysts typically work with large datasets using tools like SQL, spreadsheets, and data visualization platforms. Their responsibilities may include data cleaning, trend analysis, and generating reports to support various business functions. Entry level roles are designed for those new to the field, providing opportunities to learn and grow within the company.

What skills and qualifications are needed to thrive as an entry level Google data analyst?

To thrive as an Entry Level Google Data Analyst, you need a solid understanding of data analysis, statistics, and basic programming, often supported by a degree in a quantitative field or completion of a data analytics certification such as the Google Data Analytics Professional Certificate. Familiarity with tools like SQL, spreadsheets (Google Sheets, Excel), data visualization platforms (Tableau, Google Data Studio), and Google Analytics is essential. Strong attention to detail, problem-solving skills, and effective communication help analysts translate data insights into actionable recommendations for diverse stakeholders. These skills ensure accurate analysis, clear reporting, and informed decision-making within data-driven organizations.

What are common challenges faced by entry level Google data analysts, and how can they overcome them?

Entry-level Google Data Analysts often face challenges such as learning how to navigate large datasets, working with unfamiliar data tools, and translating complex data findings into actionable business insights. To overcome these, it's helpful to proactively seek feedback from more experienced team members, make use of available training resources, and participate in team meetings to better understand project goals. Collaborating closely with other analysts and stakeholders can also help build confidence and improve communication skills.

How do I get into an entry level Google data analyst role?

To enter an entry-level Google data analyst role, candidates typically need a bachelor's degree in a related field such as statistics, computer science, or business, along with skills in data analysis tools like SQL, Excel, and data visualization software. Gaining experience through internships, certifications like Google Data Analytics Professional Certificate, and developing strong analytical and problem-solving skills can improve chances of securing the position.

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

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

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

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Entry Level Google Data Analyst jobs near you
Infographic showing various Entry Level Google Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $70,552 per year, or $33.9 per hour.

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 4 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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