ZipRecruiter

Log In

1

Internship Google Business Intelligence Jobs (NOW HIRING)

Lamons

Business Intelligence Analyst

Houston, TX · On-site

Relevant internship, academic project, and hands-on experience will be considered. This position is ... Job Summary The Business Intelligence Analyst designs, develops, and maintains business ...

Lamons

Business Intelligence Analyst

Houston, TX · On-site

... internships, or professional experience. • Experience working with relational databases such as ... of business intelligence concepts, KPI development, and data visualization best practices. • ...

Channel

Business Intelligence Analyst I

Hopkins, MN · On-site

$75K - $80K/yr

Position Summary The Business Intelligence Analyst I will play a key role in designing, building ... Financial services experience - Prior experience or internship in financial services will be ...

Clyde Companies

Business Intelligence Intern

Orem, UT · On-site

$13.75 - $17.25/hr

Overview The Clyde internship experience is designed to allow candidates to apply their academic ... in Business Intelligence, Computer Science, Information Systems, Data Science, Information ...

next page

Showing results 1-20

All JobsGoogle Business Intelligence JobsInternship Google Business Intelligence Jobs

Internship Google Business Intelligence information

See salary details

$10

$17

$24

How much do internship google business intelligence jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship google business intelligence in the United States is $17.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.99 per hour, depending on experience, location, and employer.

What is a Google Business Intelligence Internship?

A Google Business Intelligence Internship is a temporary position for students or recent graduates to gain hands-on experience working with data analysis, reporting, and strategy at Google. Interns in this role help collect, analyze, and interpret large datasets to support business decision-making and improve processes. They typically use tools such as SQL, Python, and data visualization platforms, collaborating with teams across the company to solve real-world business problems. This internship provides valuable exposure to Google’s data-driven culture and offers professional development opportunities in the field of business intelligence.

What is the difference between Internship Google Business Intelligence vs Business Intelligence Analyst?

AspectInternship Google Business IntelligenceBusiness Intelligence Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., Data Science, Computer Science)Bachelor's or master's in related field, some roles prefer experience
Work EnvironmentInternship program at Google, collaborative, fast-pacedFull-time role in various industries, analytical and reporting focus
Employer & Industry UsageGoogle, tech and internet servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentYesYes

Internship Google Business Intelligence is a temporary, entry-level position designed for students or recent graduates to gain experience at Google. In contrast, a Business Intelligence Analyst is a full-time professional responsible for analyzing data, creating reports, and supporting decision-making processes within organizations. While internships focus on learning and skill development, analysts perform ongoing, strategic data analysis roles.

What types of projects and tools can I expect to work with during a Google Business Intelligence internship?

As a Business Intelligence intern at Google, you can expect to work on data-driven projects that support decision-making across various teams. This often involves collecting, cleaning, and analyzing large datasets using tools like SQL, Python, and Google Data Studio, as well as visualizing insights through dashboards. You'll collaborate closely with data analysts, engineers, and business stakeholders to translate business needs into actionable analytics solutions. These experiences not only build your technical skills but also expose you to Google's unique data culture and cross-functional teamwork, which are valuable for future career growth.

What are the key skills and qualifications needed to thrive as an Internship Google Business Intelligence, and why are they important?

To thrive as a Business Intelligence Intern at Google, you need a solid understanding of data analysis, statistical methods, and proficiency in SQL and Python, often supported by coursework in computer science, statistics, or related fields. Familiarity with business intelligence tools such as Tableau, Looker, or Google Data Studio, and experience with cloud platforms like Google Cloud is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are essential soft skills. These competencies enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business strategies.
More about Internship Google Business Intelligence jobs
What cities are hiring for Internship Google Business Intelligence jobs? Cities with the most Internship Google Business Intelligence job openings:
What are the most commonly searched types of Google Business Intelligence jobs? The most popular types of Google Business Intelligence jobs are:
What states have the most Internship Google Business Intelligence jobs? States with the most job openings for Internship Google Business Intelligence jobs include:
What job categories do people searching Internship Google Business Intelligence jobs look for? The top searched job categories for Internship Google Business Intelligence jobs are:
Internship Google Business Intelligence jobs near you
Head of Agentic Business Intelligence, Google Cloud

Head of Agentic Business Intelligence, Google Cloud

Google

Chicago, IL • On-site

Full-time

Posted 19 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies

Job description

Job Summary:
Google is a leading technology company that offers cloud solutions to help organizations digitally transform their businesses. As the Head of Agentic Business Intelligence, you will lead a specialized team to define the intersection of enterprise Business Intelligence and Generative AI, managing projects that enhance Google's internal BI capabilities and support the global Go-To-Market Sales organization.
Responsibilities:
• Define the goal and technical architecture for rolling out agentic workflows, conversational analytics, and AI features within Looker for 10,000+ internal Google users.
• Lead complex, large-scale BI projects from inception to execution. Manage the design of robust data marts, pipeline modifications, and scalable data warehousing.
• Recruit, onboard, and coach a lean team of high-performing BI professionals and data engineers.
• Partner closely with Product and GTM Strategy teams. Serve as the point of escalation for high-priority, fast-turnaround business insights and requests for senior executives.
• Present at Executive Briefing Centers, showcasing Google's internal AI/BI architecture to enterprise clients and partners.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 14 years of experience in business intelligence (BI) or data engineering.
• 2 years of experience designing, building, or deploying agentic workflows, large language model (LLM) features, or generative AI solutions within a business context.
• Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.
• Experience identifying and resolving data-related issues, including translating data into actionable insights.
• Leadership experience, such as people management, team lead, mentorship or coaching.
Preferred:
• MBA, Master's degree, or advanced degree in a technical or scientific field of study.
• Experience supporting sales operations with the ability to create a goal and BI roadmap to solve business problems.
• Experience with scripting languages such as Python, Go, JavaScript, or HTML for data manipulation, analysis, and automation.
• Experience applying business intelligence and AI solutions specifically to Go-To-Market (GTM), Sales Operations, or sales business processes.
• Proficiency in cloud-based data platforms and related BI services.
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply