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Entry Level Google Data Analyst Jobs in Illinois

Benda Infotech

Data Analyst

Chicago, IL

$75K - $95K/yr

Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus. * Experience ... Analytical Mindset * Problem Solving * Attention to Detail * Communication Skills * Time Management

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 ...

The LaSalle Group

Tableau Data Analyst

Evanston, IL · On-site

$40 - $50/hr

Our client is seeking a Tableau Data Analyst to support critical reporting, dashboarding, and ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

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 ...

Everspring

Digital Media Specialist

Chicago, IL · On-site

Generate and prepare routine performance reports and dashboards using tools like Google Analytics and Looker Studio. Translate complex data into clear, actionable insights and articulate findings ...

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Entry Level Google Data Analyst information

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 Illinois?

The most popular types of Google Data Analyst jobs in Illinois are:

What are popular job titles related to Entry Level Google Data Analyst jobs in Illinois?

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

What job categories do people searching Entry Level Google Data Analyst jobs in Illinois look for?

The top searched job categories for Entry Level Google Data Analyst jobs in Illinois are:

What cities in Illinois are hiring for Entry Level Google Data Analyst jobs?

Cities in Illinois with the most Entry Level Google Data Analyst job openings:

Entry Level Google Data Analyst jobs near you
Infographic showing various Entry Level Google Data Analyst job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Analyst

Benda Infotech

Chicago, IL

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Role Summary

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will transform complex data into meaningful insights that support strategic business decisions and improve operational performance. You will work closely with business stakeholders, product teams, and technical teams to analyze data, build dashboards, identify trends, and deliver actionable recommendations.

This is an excellent opportunity for recent graduates and early-career professionals who are passionate about data analytics, business intelligence, and data-driven decision-making.

Key Responsibilities
  • Collect, clean, validate, and analyze large datasets from multiple sources.
  • Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
  • Write efficient SQL queries to extract, manipulate, and analyze data.
  • Perform exploratory data analysis to identify trends, patterns, and business opportunities.
  • Create visualizations that communicate insights to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions.
  • Monitor key performance indicators (KPIs) and prepare recurring business reports.
  • Ensure data accuracy, consistency, and integrity across reporting systems.
  • Automate recurring reports and improve existing reporting processes.
  • Document data models, business rules, and analytical methodologies.
  • Support ad hoc analysis and provide recommendations based on business needs.
Qualifications & Requirements Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics, or a related field.
  • 0–2 years of experience in Data Analytics, Business Intelligence, or Reporting (Recent Graduates are encouraged to apply).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
  • Internship or academic project experience in data analysis or business intelligence.
  • Experience creating dashboards and executive reports.
  • Knowledge of KPIs, business metrics, and reporting frameworks.
  • Familiarity with Agile methodologies and project collaboration tools.
  • Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus.
  • Experience working with structured and unstructured datasets is an advantage.
Soft Skills
  • Critical Thinking
  • Analytical Mindset
  • Problem Solving
  • Attention to Detail
  • Communication Skills
  • Time Management
  • Team Collaboration
  • Adaptability
  • Curiosity and Continuous Learning
What We Offer
  • Competitive salary and comprehensive benefits package
  • Annual performance bonus eligibility
  • Medical, dental, and vision insurance
  • Paid holidays and generous paid time off
  • Retirement savings plan with employer contributions
  • Professional development and certification support
  • Mentorship from experienced data professionals
  • Exposure to enterprise-level analytics and business intelligence projects
  • Collaborative and innovative work environment
  • Career growth opportunities