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Google Data Analyst Intern Jobs (NOW HIRING)

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site

$25 - $35/hr

Role Summary Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who will work closely with Loopback Real World Data and Data Operations teams. This position will give ...

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site +1

Role Summary Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who will work closely with Loopback Real World Data and Data Operations teams. This position will give ...

Arizona Department of Administration

$18/hr

IT ANALYST INTERN Job No: 541154 Work Type: Internship, Temporary Location: REMOTE OPTIONS, PHOENIX ... or Google Workspace and basic data visualization tools. Skills In: • Analytics and problem ...

Everlaw

GTM Data Analyst Intern

Oakland, CA

$31 - $44/hr

We are looking for a GTM Data Analyst Intern to join our Go-To-Market (GTM) Analytics team. In this role, you will work at the intersection of business and data, supporting critical initiatives that ...

Everlaw

GTM Data Analyst Intern

Oakland, CA · On-site

$31 - $44/hr

We are looking for a GTM Data Analyst Intern to join our Go-To-Market (GTM) Analytics team. In this role, you will work at the intersection of business and data, supporting critical initiatives that ...

Fanatics, Inc.

Data Analyst Intern - Seasonal

Winona, MN · On-site

$19/hr

Role Overview The Data Analytics Intern will work closely with the Operations Team to support forecasting program details, mining data, and developing KPIs that drive operational effectiveness. This ...

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

... tools such as Tableau, Google Data Studio, and Google Sheet to develop impactful data ... with analytics teams, leveraging key insights to support continuous improvement. • Gather ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms ...

Fanatics, Inc.

Data Analyst Intern - Seasonal

Winona, MN · On-site

$19/hr

Role Overview The Data Analytics Intern will work closely with the Operations Team to support forecasting program details, mining data, and developing KPIs that drive operational effectiveness. This ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud ...

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How much do google data analyst intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for google data analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a Google Data Analyst Intern job?

A Google Data Analyst Intern collaborates with teams to analyze data, generate insights, and support decision-making. Interns work with large datasets, create visualizations, and use statistical methods to interpret data trends. They may also assist with building dashboards, optimizing data pipelines, and presenting findings to stakeholders. The role requires proficiency in SQL, Python, data visualization, and analytical thinking. It provides hands-on experience with Google's data infrastructure and tools, preparing interns for careers in data science and analytics.

What are the key skills and qualifications needed to thrive in the Google Data Analyst Intern position, and why are they important?

To thrive as a Google Data Analyst Intern, you need strong analytical skills, proficiency in statistics, and a foundational understanding of data analysis, typically backed by relevant coursework or experience. Familiarity with data analysis tools such as SQL, Python or R, and spreadsheet software like Google Sheets is highly beneficial, and Google-specific certifications can strengthen your application. Outstanding communication, teamwork, and problem-solving abilities help interns excel in a collaborative, fast-paced environment. These skills collectively enable effective data-driven decision-making and ensure impactful contributions to project teams.

What kinds of projects or tasks do Google Data Analyst Interns typically work on?

As a Google Data Analyst Intern, you'll often work on real-world projects involving data cleaning, exploratory analysis, and visualizing trends to support different teams. Your tasks may include writing queries, preparing dashboards, identifying key insights, and presenting recommendations to stakeholders. You'll have the opportunity to collaborate with engineers, product managers, and other analysts, gaining exposure to the broader business and technical context. This hands-on experience is designed to build your technical expertise while contributing meaningfully to live projects, setting a strong foundation for your data analytics career.

How do I get into Google as a Data Analyst Intern?

To become a Google Data Analyst Intern, applicants should have strong analytical skills, proficiency in tools like SQL and Excel, and relevant coursework or experience in data analysis. The application process typically involves submitting an online application through Google's careers website, completing assessments, and participating in interviews that evaluate technical and problem-solving abilities.
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Google Data Analyst Intern jobs near you

RWD Data Analyst Intern

Loopback LLC

Dallas, TX • On-site

$25 - $35/hr

Part-time

Posted 26 days ago

Job description

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.
Role Summary
Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who will work closely with Loopback Real World Data and Data Operations teams. This position will give exposure to how healthcare data is used to support clinical research across various Life Sciences stakeholders, including pharmaceuticals, medical device, and regulatory functions. This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on experience alongside senior analysts in a collaborative remote/hybrid environment based in Dallas. Provides strong mentorship, professional development, and potential for extension, with a proven track record of converting interns into full-time contributors.
Key Responsibilities:
Data Analysis & Solution Development
  • Analyze Loopback's large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to support answering clinical research feasibility questions across various therapy areas.
  • Assist in developing reporting tools that help non-technical stakeholders understand the data asset.
  • Synthesize and communicate analytical findings to team members.

Cross-Functional Collaboration & Continuous Improvement
  • Collaborate with Sales, Client Success, Product, and Operations teams to improve data quality, documentation, and product features.
  • Gather and document customer feedback to inform future data product development.

Qualifications
Required:
  • Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related).
  • Exposure to SQL and at least one scripting/statistical language (Python, R).
  • Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses.
  • Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences.
  • Comfortable working in a fast-paced, cross-functional team environment.

Soft Skills
  • Data-driven and analytically rigorous, with a focus on delivering client value.
  • Creative, resourceful, and comfortable with ambiguity.
  • Strong collaborator who thrives in a team-oriented, rapidly evolving environment.
  • Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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