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

As of Aug 12, 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 a Google Business Intelligence intern, 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:
Infographic showing various Internship Google Business Intelligence job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $36,035 per year, or $17.3 per hour.

Business Intelligence Developer-Analyst

Sky One Federal Credit Union

Hawthorne, CA

$98K - $125K/yr

Full-time

Re-posted yesterday


Job description

Join SkyOne Federal Credit Union as a Business Intelligence Developer-Analyst in Hawthorne, CA, and turn complex data into meaningful insights that help improve member experiences. In this onsite role, you'll work in a collaborative, innovation-focused environment where your analytical expertise, technical skills, and problem-solving mindset can make a direct impact.

This is an exciting opportunity to help shape data-driven strategies, support smarter business decisions, and contribute to financial solutions that make a difference in our members' lives. With a competitive salary range of $98,000 - $125,000, you'll be recognized for the expertise, accountability, and performance you bring to the team.

Ready to grow, make an impact, and help advance the future of financial services? Apply today and take your next step with SkyOne Federal Credit Union!

Day to Day as a Business Intelligence Developer-Analyst

As a Business Intelligence Developer-Analyst, you will play a key role in strengthening SkyOne's data-driven decision-making. You will design, develop, and maintain business intelligence solutions that support operational performance, innovation, and strategic insight. Partnering closely with business stakeholders, you will translate business needs into clear technical specifications and deliver optimized BI and Enterprise Data Warehouse reports, dashboards, and analytics solutions.

Your work will help ensure the integrity, security, and reliability of our data analytics platforms while supporting solutions that enhance business performance and deliver meaningful value to our members.

What You Need to Be Successful

To thrive in this role, you'll bring a strong blend of technical, analytical, and communication skills. Proficiency in SQL Server and experience with BI tools, dashboards, reporting platforms, and data visualization software will be essential. You should be comfortable collaborating with business users and cross-functional teams to gather requirements, analyze needs, and transform them into impactful BI and AI-powered solutions.

Success in this position also requires familiarity with AI/ML models, generative AI tools, cloud AI/ML deployment, unit testing, and quality assurance practices for BI models. A commitment to federal regulatory compliance, responsible AI principles, data integrity, and a clean, safe work environment is also important.

Qualifications

Applicants must be authorized to work in the United States on a full-time basis. The company will not provide, transfer, or continue employment visa sponsorship at this time.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience as a BI Developer, Data Analyst, or similar role.
  • Experience in data warehouse design, ETL processes, and data modeling (e.g., star, snowflake schemas).
  • Proficiency with BI tools (e.g., Power BI, Tableau, Cognos, MicroStrategy, or similar).
  • Hands on development and support experience with the Jack Henry Advanced Reporting for Credit Unions (ARCU) Data Warehouse product a plus.
  • Strong knowledge of SQL, database management systems, and reporting services (e.g., SSRS, SSIS).
  • Experience with data integration, data mining, and OLAP technologies.
  • Experience with AI agents or autonomous analytics tools and AI-ready data preparation.
  • Practical knowledge of cloud AI/ML platforms (Azure, AWS, Google Cloud).
  • Understanding of AI ethics, data bias mitigation, explainability, and AI governance practices.
  • Effective troubleshooting, analytical, and problem-solving skills.
  • Ability to work autonomously, as a team member, and in a cross-functional capacity.
  • Excellent written and verbal communication skills.
  • Previous work experience at banks, credit unions, or other financial service institutions preferred.
  • Ability to exercise discretion and independent judgement.
  • Must have high level of interpersonal skills to handle sensitive and confidential situations.

Join Our Team Today!

Ready to bring your BI expertise to a mission-driven team? Apply today and help us turn data into insights that improve the member experience at SkyOne Federal Credit Union.