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Entry Level Google Data Analyst Jobs (NOW HIRING)

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Strong ...

Data Analyst

Easley, SC ยท On-site

And currently I'm working Google data analyst certification. I will be done with certification in 2 weeks My Skill Set * SQL * Data Cleansing * R Programming My Qualifications and Preferences Job ...

Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio. * Strong analytical and problem-solving skills. * Excellent communication and presentation abilities. * Ability ...

... BI, or Google Data Studio. โ€ข Strong analytical and problem-solving skills. โ€ข Excellent communication and presentation abilities. โ€ข Ability to work independently and in a team-oriented ...

DATA ANALYST - 48001093

Tallahassee, FL ยท On-site

$60K - $65K/yr

Relevant certifications (e.g., Google Data Analytics Certificate, IBM Data Analyst Certificate, Microsoft Certified: Data Analyst Associate) * Familiarity with Apex * Graduate degree and experience ...

Relevant certifications (e.g., Google Data Analytics Certificate, IBM Data Analyst Certificate, Microsoft Certified: Data Analyst Associate) * Familiarity with Apex * Graduate degree and experience ...

DATA ANALYST - 48001093

Tallahassee, FL ยท On-site

$60K - $65K/yr

Relevant certifications (e.g., Google Data Analytics Certificate, IBM Data Analyst Certificate, Microsoft Certified: Data Analyst Associate) * Familiarity with Apex * Graduate degree and experience ...

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Entry Level Google Data Analyst information

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

As of Sep 6, 2026, the average hourly pay for entry level google data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 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.
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Infographic showing various Entry Level Google Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst

STI

Indianapolis, IN โ€ข On-site

Full-time

Re-posted 15 days ago


Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.