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Google Bi Jobs (NOW HIRING)

Mondo

BI Developer

Tampa, FL · On-site

$66 - $78/hr

Experience with cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google BigQuery ... BI technologies Familiarity with Python or another data-analysis language Experience working in an ...

New

NAVA Software Solutions

Sr. BI Engineer

Washington, DC · On-site

Details: Sr. BI Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Have experience with Google Looker or Equivalent, Interfacing with Big Query or Equivalent, to ...

Google

Data Engineer, Google Maps

Mountain View, CA · On-site

$135K - $162K/yr

... BI, DataStudio, and business intelligence platforms. About the job As The Data Engineer, Geo ... The Geo team also enables developers to use the power of Google Maps platforms to enhance their ...

Mondo

Lead BI/Data/Web Developer

Manhattan, NY · On-site

$130/hr

Lead BI/ Web Developer Location: Hybrid NYC or VA - 3 days/ week onsite Duration: Permanent ... Proven experience working with large-scale cloud-based data warehouses (e.g., Snowflake, Google ...

TEGNA Inc.

Lead BI/Data/Web Developer

New York, NY

Proven experience working with large-scale cloud-based data warehouses (e.g., Snowflake, Google ... Integrate BI Portal with backend AI Agents to facilitate user interaction via text prompts ...

Google Inc.

$211 - $293/hr

Google Cloud accelerates every organization's ability to digitally transform its business and ... BI. Drive high forecast accuracy, pipeline velocity, and full book-of-business health across ...

Mondo

Lead BI/Data/Web Developer

Manhattan, NY · On-site

$130/hr

Lead BI/ Web Developer Location: Hybrid NYC or VA - 3 days/ week onsite Duration: Permanent ... Proven experience working with large-scale cloud-based data warehouses (e.g., Snowflake, Google ...

Georgia IT, Inc.

Power BI Lead- IA

Des Moines, IA · On-site

... Google Cloud, especially in the context of BI solutions. • Experience integrating Power BI with tools like SharePoint, Excel, or custom APIs. • Experience in Qlik and conversion from Qlik to ...

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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.

Looker + Google BigQuery Architect

Apetan Consulting llc

San Ramon, CA • On-site

Contractor

Re-posted yesterday

Job description

Position - Looker + Google BigQuery Architect
Location: San Ramon, California, USA
Work Mode: 5 days WFO
Experience: 10–14 years (minimum 4–5 years in Looker & GCP Data Stack)
About the Role
We are looking for an experienced Looker + GBQ Architect to lead analytics solutioning, architecture design, and performance optimization across our enterprise-scale data ecosystem. The ideal candidate should have a strong foundation in data modeling, LookML, and GCP (BigQuery, Cloud Composer, Dataflow, Pub/Sub) with the ability to work directly with business stakeholders, data engineers, and visualization teams.
This role will anchor our BI modernization journey for Data Engineering AMS and Looker Functional teams, ensuring scalable, secure, and performant data analytics delivery.
 

Key Responsibilities
1. Solution Architecture & Design
• Design and implement end-to-end Looker + GBQ architecture, ensuring scalability and alignment with enterprise data strategy.
• Define semantic layer, LookML models, and reusable data components for cross-functional BI use cases.
• Create and enforce best practices for data modeling, partitioning, and optimization in BigQuery.
2. Development & Implementation
• Lead Looker dashboard and data model development for business-critical functions (Finance, Sales, Product).
• Collaborate with DE & BI teams to define data pipelines feeding Looker, ensuring freshness, lineage, and consistency.
• Enable parameterized and governed exploration within Looker for end-users and analysts.
3. Governance, Security & Performance
• Implement row-level and column-level security models in Looker and GBQ.
• Optimize query performance and cost management within GBQ.
• Drive monitoring, logging, and SLA adherence for Looker reports and data sources.
• Establish automated health checks and observability dashboards across BI environments.
4. Collaboration & Leadership
• Work closely with product owners, business analysts, and DE teams to translate business KPIs into scalable data models.
• Mentor and guide the Looker Functional Team and ensure alignment with global data architecture standards.
• Contribute to the data governance framework, ensuring compliance with enterprise and regulatory guidelines.
5. Continuous Improvement & Innovation
• Evaluate and integrate AI/ML and advanced analytics within Looker/GBQ ecosystem where applicable.
• Identify opportunities to automate operational reporting and ticket workflows (e.g., integration with Wolken or JIRA).
• Drive adoption of modern Looker features (Looker Blocks, Looker API, embedded analytics).
Required Skills
• Strong proficiency in:
• Looker, LookML, and Looker API
• Google BigQuery, Dataform / dbt, Cloud Composer, Pub/Sub
• SQL optimization and cost-efficient query structuring
• Experience with:
• Building scalable semantic models and data marts
• Implementing BI and data access governance
• Cross-functional collaboration with Data Engineering and Cloud Ops
• Soft Skills: Excellent communication, stakeholder management, mentoring, and problem-solving ability.
Preferred Qualifications
• Looker Certification (LookML Developer / Looker Business Analyst)
• Google Cloud Professional Data Engineer / Architect certification
• Experience in AMS / Managed Service environment or data product operations.
• Exposure to Snowflake / dbt migration to GBQ is a plus.