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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 ...

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 ...

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

As of Jul 28, 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.
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Internship Google Business Intelligence jobs near you
Infographic showing various Internship Google Business Intelligence job openings in the United States as of July 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 Analyst

Business Intelligence Analyst

Lamons (LGC EmployeeCo., LLC)

Houston, TX • On-site

Full-time

Posted 23 days ago

Job description

Recent graduates are encouraged to apply. Relevant internship, academic project, and hands-on experience will be considered. This position is fully on-site at our Houston headquarters. Lamons is conducting this search internally and is not partnering with staffing agencies or accepting unsolicited candidate submissions for this position.
Job Summary
The Business Intelligence Analyst designs, develops, and maintains business intelligence reports, dashboards, and data visualizations that support operational and strategic decision-making across the organization. This role partners with business leaders to gather reporting requirements, develop SQL-based data solutions, and deliver accurate, timely analytics through Tableau and other business intelligence tools. The Business Intelligence Analyst also supports reporting enhancements, data integrity, and emerging analytics technologies to improve business performance.
Job Duties and Responsibilities
  • Meet with business leaders and stakeholders to gather, analyze, and document reporting and dashboard requirements.
  • Design, develop, and maintain interactive dashboards, reports, and visualizations using Tableau.
  • Develop SQL queries to retrieve, analyze, and prepare data for reports, dashboards, and business intelligence solutions.
  • Develop and maintain data models to support enterprise reporting, including fact and dimension tables and star schema designs.
  • Validate data accuracy and ensure consistency across reports, dashboards, and source systems.
  • Develop and maintain standardized reports and dashboards that promote consistent reporting across departments.
  • Translate business requirements into scalable reporting solutions that provide meaningful operational and financial insights.
  • Consult with business leaders to understand reporting needs and recommend business intelligence solutions that support operational objectives.
  • Develop executive, operational, and departmental KPI dashboards to support performance monitoring and decision-making.
  • Partner with cross-functional teams to identify reporting opportunities and recommend process improvements through business intelligence solutions.
  • Document report specifications, SQL scripts, data definitions, and dashboard functionality.
  • Monitor and maintain existing reports and dashboards, implementing enhancements and resolving data or reporting issues as needed.
  • Support data integration and reporting initiatives involving SQL Server, PostgreSQL, Oracle, or other relational database platforms.
  • Assist with troubleshooting reporting, data, and system-related issues impacting business intelligence solutions.
  • Support the evaluation and implementation of AI-enabled reporting, automation, and analytics solutions, including the use of Python, APIs, and emerging AI technologies where applicable.
  • Stay current on business intelligence, analytics, and data visualization best practices and recommend improvements to reporting capabilities.
  • Perform other duties as assigned.

Skills
  • Working knowledge of SQL skills, including joins, Common Table Expressions (CTEs), window functions, stored procedures, and query optimization.
  • Proficiency in Tableau report and dashboard development.
  • Understanding of relational databases and data modeling concepts, including fact and dimension table design.
  • Ability to gather business requirements and translate them into technical reporting solutions.
  • Knowledge of business intelligence concepts, KPI development, and data visualization best practices.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent attention to detail with the ability to validate and ensure data accuracy.
  • Strong written and verbal communication skills with the ability to present technical information to non-technical stakeholders.
  • Ability to manage multiple projects and priorities while meeting established deadlines.
  • Exposure to Python programming, APIs, and emerging AI technologies is preferred.

Education
  • Required: Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics, Information Systems, or related field.
  • Recent graduates are encouraged to apply.
  • Preferred: Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence, Machine Learning, or Data Visualization.

Work Experience
  • Required: Experience developing reports, dashboards, or data visualization through academic projects, internships, or professional experience.
  • Required: Experience working with relational databases such as Microsoft SQL Server, PostgreSQL, or Oracle.
  • Preferred: Experience gathering business requirements and delivering reporting solutions to business stakeholders.
  • Preferred: Experience supporting manufacturing, industrial, or operations - focused reporting environments.
  • Preferred: Experience with Python, AI-enabled analytics, Open AI, Azure AI, or similar technologies.

Physical Requirements
  • Prolonged periods of sitting and working at a computer.
  • Must be able to communicate effectively in person, by telephone, and through virtual meeting platforms.
  • Must be able to lift up to 15 pounds occasionally.

Apply