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How much do google business intelligence jobs pay per year?

As of Jul 3, 2026, the average yearly pay for google business intelligence in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Business Intelligence position, and why are they important?

To thrive as a Google Business Intelligence professional, you need strong analytical skills, proficiency in data modeling, and a background in statistics or computer science. Familiarity with tools such as SQL, BigQuery, Tableau, and Google Data Studio, plus certifications in data analytics or business intelligence, are commonly required. Outstanding problem-solving abilities, effective communication, and business acumen set top candidates apart. These skills enable professionals to transform complex data into actionable insights that drive strategic business decisions at scale.

What is a Google Business Intelligence job?

A Google Business Intelligence (BI) job focuses on analyzing data to provide insights that drive business decisions. Professionals in this role collect, process, and visualize data using SQL, Python, and BI tools like Looker or Tableau. They collaborate with teams across Google to optimize strategies, improve efficiency, and enhance user experiences. Strong analytical thinking, data storytelling, and problem-solving skills are essential for success in this role.

What are the primary responsibilities of a Google Business Intelligence professional on a typical day?

A typical day as a Google Business Intelligence professional involves gathering large datasets from various sources, designing and executing queries, building reports and dashboards, and analyzing data trends to support business strategies. You will often collaborate closely with cross-functional teams such as product managers, engineers, and marketing analysts to identify key metrics and provide actionable insights. Additionally, you may be tasked with automating regular reporting processes and presenting your findings to both technical and non-technical stakeholders. This dynamic environment offers opportunities to make a significant impact on business outcomes and develop expertise in advanced analytics tools.

More about Google Business Intelligence jobs
What cities are hiring for Google Business Intelligence jobs? Cities with the most 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 Google Business Intelligence jobs? States with the most job openings for Google Business Intelligence jobs include:
What job categories do people searching Google Business Intelligence jobs look for? The top searched job categories for Google Business Intelligence jobs are:
Google Business Intelligence jobs near you
Infographic showing various Google Business Intelligence job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.
Head of Agentic Business Intelligence, Google Cloud

Head of Agentic Business Intelligence, Google Cloud

Google

Chicago, IL • On-site

Full-time

Posted 9 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

38th of 202 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.

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