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Remote Google Business Intelligence Jobs (NOW HIRING)

Business Intelligence Engineer II

Bellevue, WA · On-site +1

$128.52K - $180.50K/yr

Business Intelligence Engineer II Bellevue, WA - Site Analytics - Full time - R29730 What you'll do ... Use available tools and data (Snowflake, Python, Google Analytics, Tableau, etc.) to construct ...

Business Intelligence Solution Engineer

Columbus, OH · On-site +1

$48 - $62.25/hr

The Business Intelligence Solution Engineer collaborates with stakeholders across Consumer Finance ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Business Intelligence Solution Engineer

Columbus, OH · On-site +1

$49.25 - $64/hr

The Business Intelligence Solution Engineer collaborates with stakeholders across Consumer Finance ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Remote Role Responsibilities * Manage and update your Google Business Profile (GBP) to ensure accurate and current business information. * Respond to inquiries and engage with customers to enhance ...

Learn more at Summary: We're looking for a talented Business Intelligence Analyst to join our Data ... You'll be supported by a culture that puts employees first - with flexible hours, a fully remote ...

Remote Role Responsibilities * Evaluate the usage of Google Business Profile (GBP) to enhance business communication. * Review Google Chat interactions to ensure effective internal messaging.

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Remote Google Business Intelligence information

See salary details

$29.5K

$114.3K

$167.5K

How much do remote google business intelligence jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote 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 as a Remote Google Business Intelligence professional, and why are they important?

To thrive as a Remote Google Business Intelligence professional, you need strong analytical skills, experience in data modeling and visualization, and proficiency with SQL, alongside a relevant degree in computer science, information systems, or a related field. Familiarity with Google BI tools such as Looker Studio, BigQuery, and Data Studio, as well as certifications like Google Data Analytics, are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate, actionable business insights are delivered, driving data-informed decision-making across distributed teams.

How does a Remote Google Business Intelligence professional typically collaborate with cross-functional teams?

As a Remote Google Business Intelligence professional, you will frequently collaborate with cross-functional teams such as marketing, product development, and engineering. Communication is primarily conducted via virtual meetings, shared dashboards, and cloud-based project management tools. Your role often involves translating complex data insights into actionable recommendations for non-technical stakeholders, so strong communication and documentation skills are essential. Building relationships and proactively seeking feedback from team members across departments helps ensure data-driven decisions align with broader business goals.

What is a Remote Google Business Intelligence professional?

A Remote Google Business Intelligence professional specializes in analyzing and interpreting data using Google’s suite of business intelligence tools, such as Google Data Studio, BigQuery, and Looker, while working from a remote location. Their main responsibilities include gathering data from various sources, creating reports and dashboards, and providing actionable insights to help organizations make data-driven decisions. Working remotely, they collaborate with teams online, ensuring that stakeholders have the information they need to optimize business operations. This role requires strong analytical skills, proficiency with Google BI tools, and the ability to communicate complex data findings clearly.

What is the difference between Remote Google Business Intelligence vs Remote Data Analyst?

AspectRemote Google Business IntelligenceRemote Data Analyst
Required CredentialsGoogle certifications, BI tools proficiencyStatistical, analytical, Excel, SQL skills
Work EnvironmentRemote, collaborative with marketing and product teamsRemote, cross-industry data interpretation
Employer & Industry UsageTech, marketing, e-commerce companiesFinance, healthcare, retail, various sectors
Common Search & ComparisonYesYes

Remote Google Business Intelligence specialists focus on analyzing data using Google tools and BI platforms to support strategic decisions, often within tech and marketing industries. Remote Data Analysts interpret data across various sectors, utilizing statistical and analytical skills. While both roles involve data analysis, Google Business Intelligence roles emphasize BI tools and Google platform expertise, whereas Data Analysts have broader industry applications and skill sets.

More about Remote Google Business Intelligence jobs
What cities are hiring for Remote Google Business Intelligence jobs? Cities with the most Remote 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 Remote Google Business Intelligence jobs? States with the most job openings for Remote Google Business Intelligence jobs include:
Infographic showing various Remote Google Business Intelligence job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 73% Physical, 19% Hybrid, and 8% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.
Business Intelligence Analyst / Data Analyst (SQL)

Business Intelligence Analyst / Data Analyst (SQL)

Waymo

Mountain View, CA • On-site, Remote

$168K - $207K/yr

Other

Posted 22 days ago


Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo's Data Science team is an important part of our mission to develop safe and reliable autonomous driving technology. We use data analysis and leverage statistical expertise to evaluate and improve the Waymo Driver, focusing on areas like reliability, driving quality, and safety. Our work ensures that data-driven insights inform key aspects of Waymo's development process. As a Business Intelligence Analyst, you will help build the data infrastructure behind reporting and analytics for some core pillars supported by the Waymo Data Science team.

You will:

  • As a Data Analyst, you will leverage advanced SQL and Business Intelligence tools to build state-of-the-art reporting infrastructure (data pipelines, dashboards) to ensure decision making within one of:
    • Waymo Driving Quality
    • Waymo Safety
    • Waymo Reliability
  • Write high quality data pipelines with clear definitions to ensure consistency of metrics across the company
  • Design, define, and govern key performance indicators (KPIs) and core metrics
  • Work with Data Science, Engineering, Operations, Product, and Regulatory teams to allow accurate reporting to several audiences
  • Prepare content and communicate to Waymo leadership
  • Run deep analyses into data trends observed to drive partner team goals

You have:

  • 4+ years of experience in a Data Analyst, Business Intelligence Analyst, or similar quantitative role within a tech-forward environment.
  • Advanced SQL proficiency - you are an expert at writing high-performance queries, including window functions, UDFs, and complex joins to manipulate large-scale datasets.
  • Data Engineering mindset - experience managing and querying extremely large datasets (BigQuery, Redshift, or similar) and building scalable data pipelines.

We prefer:

  • Data Visualization & Storytelling - a proven track record of building intuitive, "executive-ready" dashboards in modern BI tools (e.g., Tableau, Looker, or Data Studio).
  • Infrastructure Management - expertise in building and maintaining data infrastructure for large organizations, ensuring a clean separation between development and production environments.
  • Stakeholder Influence - the ability to translate complex data trends into actionable insights for Engineering, Product, and Leadership teams.
  • Proactive Problem Solving - demonstrates the initiative and foresight to identify business needs before they become critical bottlenecks.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$168,000—$207,000 USD