ZipRecruiter

Log In

1

Google Cloud Platform Data Analyst Jobs (NOW HIRING)

InfiCare

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience ... Perform data ingestion, preparation, and reporting to support business intelligence and analytics ...

Intraedge

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location ... Strong communication and analytical skills including effective presentation skills. Familiarity ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... Design and develop analytical tools, algorithms, and programs to support data engineering ...

InfiCare

Google Cloud Platform Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Google Cloud Platform Data Engineer Location: Atlanta, GA (Hybrid -- 3 Days Onsite | Local ... Analyze and resolve data quality issues across platforms like Amperity, Acxiom, and other CDPs

New

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Google Cloud Platform Data Engineer Location: Hybrid - 4 days/week in our SE Michigan office ... Partner with data scientists, analysts, and application teams to support advanced analytics and ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply, please reach out to Parul Singh at / We are looking for Data Engineer who will be responsible for ...

ITBMS Inc.

Google Cloud Platform Architect

Manor, TX · On-site

$70 - $89.25/hr

... Data & Analytics Big Query Dataflow Pub/Sub DevOps & CI/CD Cloud Build Cloud Deploy Compute & Container Platforms Compute Engine Google Kubernetes Engine (GKE) Cloud Run Networking & Hybrid Cloud ...

New

AI ASAP LLC

Google Cloud Platform Architect

Manor, TX · On-site

$70 - $89.25/hr

... Data & Analytics • Big Query • Dataflow • Pub/SubDevOps & CI/CD • Cloud Build • Cloud Deploy Compute & Container Platforms • Compute Enginer • Google Kubernetes Engine (GKE) • Cloud ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsBusiness Intelligence Analyst JobsGoogle Cloud Platform Data Analyst Jobs

Google Cloud Platform Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Sep 9, 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, 83% Full Time, 12% 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.

Google Cloud Platform Data Architect

Charlotte, NC • On-site

Kaizen Technologies
IT Services • 51 - 200 employees
Learn more about Kaizen Technologiesexternal

$62.25 - $80/hr

Other

Posted 13 days ago

Key responsibilities

  • Design and implement scalable, secure, and high-performance data architectures on Google Cloud Platform.

  • Architect enterprise data lakes, data warehouses, and real-time data processing solutions using Google Cloud Platform services.

  • Collaborate with stakeholders and teams to deliver data solutions and ensure data quality, governance, security, and compliance.

Job description

Role: Google Cloud Platform Data Architect 

Location: Charlotte, NC

Our challenge:

We are seeking an experienced Google Cloud Platform Data Architect with strong expertise in designing and implementing enterprise-scale data platforms on Google Cloud Platform (Google Cloud Platform) within the Banking and Financial Services (BFSI) domain. The ideal candidate will be responsible for architecting modern data solutions, driving cloud transformation initiatives, and enabling advanced analytics, regulatory reporting, and data governance across financial systems.

The Role

Responsibilities:

  • Design and implement scalable, secure, and high-performance data architectures on Google Cloud Platform.
  • Architect enterprise data lakes, data warehouses, and real-time data processing solutions using Google Cloud Platform services.
  • Lead data modernization and cloud migration initiatives from on-premises platforms to Google Cloud Platform.
  • Define data modeling standards, data integration frameworks, and metadata management strategies.
  • Design batch and streaming data pipelines using Google Cloud Platform native services.
  • Collaborate with business stakeholders, data engineers, analysts, and application teams to deliver data solutions.
  • Ensure data quality, governance, security, and compliance with financial industry regulations.
  • Support regulatory reporting, risk management, fraud analytics, customer analytics, and financial reporting initiatives.
  • Establish best practices for data architecture, performance optimization, scalability, and disaster recovery.
  • Provide technical leadership and mentor engineering teams on cloud data solutions.

Requirements:

  • Experience in Data Architecture, Data Engineering, or related roles.
  • Hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Strong expertise in:
  • BigQuery
  • Cloud Storage
  • Dataflow
  • Pub/Sub
  • Dataproc
  • BigLake
  • Cloud Composer (Airflow)
  • Cloud Functions
  • Cloud Run
  • Experience with ETL/ELT frameworks and large-scale data integration.
  • Strong knowledge of data modeling techniques (Dimensional, Star Schema, Snowflake).
  • Hands-on experience with SQL, Python, Spark, and data processing frameworks.
  • Experience with real-time and batch data architectures.
  • Familiarity with Data Governance, Data Catalog, and Master Data Management.
  • Strong understanding of security, encryption, IAM, and cloud compliance standards.

Financial Domain Expertise:

  • Strong experience in Banking, Financial Services, Capital Markets, or FinTech.
  • Experience with:
  • Regulatory Reporting
  • Risk Management
  • AML/KYC
  • Payments
  • Lending & Mortgages
  • Financial Data Warehousing
  • Customer 360 Solutions
  • Understanding of financial data models and compliance requirements.
  • Experience working with highly regulated environments and sensitive financial data.

Preferred Skills

  • Experience with Terraform or Infrastructure as Code (IaC).
  • Knowledge of CI/CD tools such as GitHub Actions, Jenkins, or Harness.
  • Experience with Databricks, Snowflake, or other modern data platforms.
  • Exposure to AI/ML and GenAI solutions on Google Cloud Platform (Vertex AI).
  • Google Cloud Platform Professional Data Engineer or Professional Cloud Architect certification.
  • Experience with Agile/Scrum delivery methodologies.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
  • Google Cloud Platform certifications highly preferred.

Apply