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Google Cloud Platform Data Analyst Jobs (NOW HIRING)

Customer Engineer, Platform, Google Cloud

Seattle, WA · On-site

$63.50 - $84.75/hr

Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI ... About the job The Google Cloud Platform team helps customers transform and build what's next for ...

Platform Customer Engineer, Google Cloud

Sunnyvale, CA · On-site

$65.50 - $87.50/hr

... data analytics, Cloud AI, networking, migrations, security. About the job As a Platform Customer ... Google Cloud accelerates every organization's ability to digitally transform its business and ...

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Google Cloud Platform Data Analyst information

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$34K

$82.6K

$136K

How much do google cloud platform data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for google cloud platform data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Google Cloud Platform data analyst do?

A Google Cloud Platform (GCP) Data Analyst is responsible for collecting, processing, and analyzing data using tools and services provided by Google Cloud. They design data pipelines, use BigQuery for querying large datasets, and create visualizations to help organizations make data-driven decisions. Their work often involves collaborating with data engineers, data scientists, and business stakeholders to ensure data accuracy and relevance. Additionally, GCP Data Analysts may optimize queries, ensure data security, and contribute to the migration of data to the cloud.

What are the key skills and qualifications needed to thrive as a Google Cloud Platform data analyst?

To thrive as a Google Cloud Platform Data Analyst, you need strong analytical abilities, expertise in SQL, and a background in data analysis, often supported by a degree in computer science, statistics, or a related field. Proficiency with Google Cloud tools such as BigQuery, Data Studio, and Cloud Storage, as well as certifications like the Google Cloud Professional Data Engineer, is typically required. Excellent problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are key soft skills for this role. These capabilities help drive data-driven decision making and ensure accurate, actionable insights for organizations leveraging cloud-based solutions.

How does a Google Cloud Platform data analyst typically collaborate with data engineers and other team members?

As a Google Cloud Platform Data Analyst, you’ll regularly partner with data engineers to ensure data pipelines are optimized for accurate and timely analysis. You may work closely with business stakeholders to translate their needs into actionable data insights, and often participate in cross-functional meetings to align on project goals. Collaboration tools like BigQuery, Data Studio, and shared dashboards are commonly used to streamline communication and reporting. This teamwork ensures that data-driven decisions are well-supported and aligned with organizational objectives.

What is the difference between Google Cloud Platform Data Analyst vs Data Engineer?

AspectGoogle Cloud Platform Data AnalystData Engineer
Required CertificationsGoogle Cloud Professional Data Engineer, GCP certificationsGoogle Cloud Professional Data Engineer, GCP certifications
Work EnvironmentCloud-based data analysis, reporting, visualizationBuilding data pipelines, data architecture, ETL processes
Employer & Industry UsageTech, finance, healthcare using GCP for analyticsData infrastructure across various industries using GCP

The Google Cloud Platform Data Analyst focuses on analyzing data, creating reports, and visualizations within GCP. In contrast, a Data Engineer designs and maintains data pipelines and infrastructure. Both roles often require GCP certifications and work in cloud environments, but Data Engineers handle the technical architecture, while Data Analysts interpret and present data insights.

What are popular job titles related to Google Cloud Platform Data Analyst jobs?

For Google Cloud Platform Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Google Cloud Platform Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Customer Engineer, Platform, Google Cloud

Seattle, WA • On-site

Google
Software Development • 10K+ employees

$63.50 - $84.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
  • Experience working with, or presenting to, technical stakeholders or executive leaders.
  • Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.

Preferred qualifications:
  • Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.
  • Experience driving the entire sales cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).
  • Experience building long-term technical strategies to uncover new workloads with customers.
  • Experience migrating applications and services to cloud platforms.
  • Experience working with, and passion for, the startup ecosystem.
  • Experience building AI agents and tools and an understanding of their unique security implications.

About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer's primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will use your presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, and data analytics.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $104000 - $150000 (USD) 42.86% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
  • Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
  • Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
  • Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
  • Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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