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Google Bi Jobs (NOW HIRING)

SmartIPlace

Site Reliability Engineer (SRE)

Parsippany, NJ · On-site

$57.25 - $76.25/hr

Familiarity with Google BI and AI/ML tools a plus (Looker, BigQuery ML, Vertex AI, etc.) Experience with automation tools (Terraform, Ansible, Puppet). Familiarity with CI/CD pipelines and tools ...

Precision Technologies Corp

BI Architect

Iselin, NJ · On-site

Strong Power BI, Dax, Strong in SQL and data warehousing. At least 15 years' experience and ... Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data ...

Tror AI for everyone

BI Architect

Iselin, NJ · On-site

BI Architect Job Location: Iselin, NJ (Hybrid) Job Type: Contract Note: Need 15+ years of ... Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data ...

Vytwo

BI Architect

Prosper, TX · On-site

$60 - $70/hr

BI Architect Location : Iselin, NJ (Hybrid) / Local candidates only Indent : PSL-US211278_1-46-1 ... Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data ...

Vytwo

BI Architect

Prosper, TX · On-site

BI Architect Location : Iselin, NJ (Hybrid) / Local candidates only Indent : PSL-US211278_1-46-1 ... Familiarity with cloud platforms (Azure, AWS, Google BigQuery). * Bonus: Python or R for data ...

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How much do google bi jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for google bi in the United States is $50.86, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $58.65 per hour, depending on experience, location, and employer.

What is a Google BI?

A Google BI (Business Intelligence) job typically involves analyzing large datasets, creating dashboards, and generating insights to support data-driven decision-making. BI professionals at Google work with SQL, data visualization tools, and cloud technologies to transform raw data into actionable insights. They collaborate with cross-functional teams to enhance business operations, optimize performance, and support strategic initiatives. Strong analytical skills, problem-solving abilities, and experience with data modeling are essential for this role.

What are the typical day-to-day responsibilities of a Google BI professional?

As a Google BI professional, your daily tasks will often include extracting, transforming, and analyzing large datasets to identify trends and support business decision-making. You'll develop dashboards and reports using tools like Looker or Google Data Studio, collaborate with various teams to understand their data needs, and translate business requirements into analytical solutions. You may also troubleshoot data inconsistencies and work with engineering teams to improve data reliability. This dynamic environment encourages ongoing learning and provides exposure to cutting-edge analytics projects across multiple business domains.

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

To thrive as a Google Business Intelligence (BI) professional, you generally need strong analytical skills, proficiency in data modeling, and a solid understanding of business processes, typically supported by a degree in computer science, data analytics, or a related field. Experience with tools such as SQL, Tableau, Looker (Google Data Studio), and possibly certifications in cloud platforms like Google Cloud Platform (GCP) are highly valued. Excellent communication, problem-solving abilities, and teamwork help translate complex data into actionable insights for diverse stakeholders. These skills are crucial for driving data-informed decisions, optimizing business strategies, and effectively collaborating across departments in a fast-paced tech environment.

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Google Bi jobs near you
Infographic showing various Google Bi job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 55% In-person, 9% Hybrid, and 36% Remote job distribution, with an average salary of $105,787 per year, or $50.9 per hour.

Site Reliability Engineer with Google Cloud Platform

ARSquare Tech LLC

Mahwah, NJ • On-site

$57.75 - $76.75/hr

Other

Posted 6 days ago

Job description

 We are looking for a talented Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (Google Cloud Platform) and kubernetes. The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premise and cloud-based systems along with focus on reducing costs for Google Cloud.

 System Reliability: Ensure the reliability and uptime of critical services and infrastructure.

Google Cloud Expertise: Design, implement, and manage cloud infrastructure using Google Cloud services.

Automation: Develop and maintain automation scripts and tools to improve system efficiency and reduce manual intervention.

Monitoring and Incident Response: Implement monitoring solutions and respond to incidents to minimize downtime and ensure quick recovery.

Skills:

Proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, Pub/Sub, etc.).

Experience with database technologies (SQL & no-SQL - AlloyDB (PostgreSQL), DataBricks, Firestore, BigQuery, etc.).

Familiarity with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.).

Experience with automation tools (Terraform, Ansible, Puppet).

Familiarity with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.).

Strong scripting skills (Python, Bash, etc.).

Knowledge of networking concepts and protocols. (Service mesh experience a plus).

 
Preferred Certifications:

Google Cloud Professional DevOps Engineer

Google Cloud Professional Cloud Architect

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