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Google Data Analyst Jobs in Riverside, CA (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

The ideal candidate is deeply data fluent, translates complex business questions into clear ... Experience with Google Cloud Platform and Big Query * Familiarity with Collectors Operations

... Google Dialog flow, Oracle Cloud Infrastructure (OCI), and key enterprise SaaS platforms such as ... Translate usage and consumption data into financial insights for Technology and Finance leadership.

... Google Dialog flow, Oracle Cloud Infrastructure (OCI), and key enterprise SaaS platforms such as ... data centers and throughout steady - state operation HOW YOU WILL MAKE AN IMPACT 1. FinOps Strategy ...

FinOps Analyst

Irvine, CA · On-site

$100K - $155K/yr

... Google Dialog flow, Oracle Cloud Infrastructure (OCI), and key enterprise SaaS platforms such as ... data centers and throughout steady - state operation HOW YOU WILL MAKE AN IMPACT 1. FinOps Strategy ...

AI Architect

Irvine, CA · On-site

$67.50 - $87/hr

... data analysis, and visualization techniques. • Proficiency in Python, R, and/or Java, with ... Azure, and Google Cloud, including their AI/ML services. • Experience with distributed data ...

AI Engineer

Irvine, CA · On-site

$55K - $187K/yr

... Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI implementation and machine learning libraries - Excelling in complex data analysis and data ...

Data & Tracking: Monitor student progress timelines, manage service delivery metrics, and ensure ... High proficiency with modern workplace tools (e.g., CRMs, project management software, Google ...

PPC Specialist

Redlands, CA · On-site

$20 - $24/hr

Working knowledge of Google Ads, Meta Ads (Facebook/Instagram), and Google Analytics. * Strong Excel skills: pivot tables, formulas, and data analysis. * Experience with advertising tools such as ...

Showing results 41-60

Google Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do google data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for google data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Data Analyst?

To thrive as a Google Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as computer science, mathematics, or economics. Mastery of technical tools like SQL, Python, R, and data visualization platforms (e.g., Tableau, Looker), as well as Google Analytics certification, is highly valuable. Effective communication, critical thinking, and problem-solving abilities set top performers apart. These skills and qualities are crucial because they enable data analysts to extract actionable insights, communicate findings clearly, and drive impactful business decisions within fast-paced tech environments.

What does a Google Data Analyst do?

As a Google Data Analyst, you'll often work on projects involving the collection, cleaning, and analysis of large datasets to uncover valuable trends and insights for different teams or products. Daily tasks may include writing queries to extract data, building dashboards, preparing reports, and presenting findings to stakeholders from engineering, product, or marketing departments. You may also collaborate with cross-functional teams to design and implement experiments, measure key performance indicators, and make data-driven recommendations. This dynamic environment allows you to develop a broad skill set while contributing directly to business decisions and innovation.

What is a Google Data Analyst?

A Google Data Analyst is responsible for collecting, processing, and analyzing data to provide insights that drive business decisions. They use tools like SQL, Python, and Google Analytics to identify trends and improve processes. Their role involves data visualization, reporting, and stakeholder communication to support various teams.

What are the most commonly searched types of Google Data Analyst jobs in Riverside, CA? The most popular types of Google Data Analyst jobs in Riverside, CA are:
What are popular job titles related to Google Data Analyst jobs in Riverside, CA? For Google Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Google Data Analyst jobs in Riverside, CA look for? The top searched job categories for Google Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Google Data Analyst jobs? Cities near Riverside, CA with the most Google Data Analyst job openings:
Infographic showing various Google Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 7% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Senior AISolution Architect

Comprehensive Resources Inc.

Santa Ana, CA • On-site

$70 - $93.75/hr

Other

Posted 9 days ago


Job description

Job Title: Senior AI Solution Architect - Data & AI Platforms (Google Cloud Platform)

Location: Santa Ana, CA

Duration : 12 months contract


Experience

10-15+ years overall experience (with 5+ years in AI/Data Architecture roles)
Job Summary
We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (Google Cloud Platform).
The ideal candidate will have strong hands-on experience across data lakehouse architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.
Key Responsibilities
Data & Platform Architecture
Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers
Architect modern data lakehouse platforms using Google Cloud Platform services (e.g., BigQuery, Dataproc, Cloud Storage)
Define scalable data platforms supporting batch, streaming, and real-time analytics
Establish data governance, metadata management, data quality, lineage, and security frameworks
AI, ML & MLOps Architecture
Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management
Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability)
Collaborate with data scientists to productionize ML models at scale
Evaluate and recommend ML frameworks, tools, and best practices
Generative AI & Agentic AI
Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases)
Design Conversational Analytics and AI-powered BI solutions
Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations
Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems
Business Intelligence & Analytics
Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights
Integrate BI tools with data lakehouse and AI layers
Enable semantic layers, metrics definitions, and governed analytics
Cloud & Google Cloud Platform Leadership
Lead architecture and solution design on Google Cloud Platform (Google Cloud Platform)
Utilize Google Cloud Platform services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM
Ensure architectures follow best practices for security, scalability, performance, and cost optimization
Stakeholder & Technical Leadership
Partner with business leaders to translate business requirements into AI-driven solutions
Lead technical design reviews and architecture governance
Mentor engineers, architects, and data scientists
Create architecture blueprints, reference architectures, and technical documentation
Required Skills & Qualifications
Core Technical Skills
Strong experience in Data Architecture & Data Platforms
Hands-on expertise in Data Lakehouse architectures
Deep understanding of end-to-end data management
Experience with modern BI platforms and analytics ecosystems
Strong background in AI/ML architecture and MLOps
Proven experience in Conversational Analytics and Generative AI
Hands-on exposure to Agentic AI platforms, frameworks, and evaluations
Strong expertise in Google Cloud Platform (Google Cloud Platform)
Tools & Technologies (preferred)
Google Cloud Platform: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks
MLOps: CI/CD, feature stores, model registries, monitoring tools
Data: SQL, Python, Spark, Kafka
BI: Looker, Tableau, Power BI (or equivalent)
Preferred Qualifications
Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related field
Google Cloud Platform Professional certifications (e.g., Professional Data Engineer, Professional ML Engineer, Cloud Architect)
Experience working in large-scale enterprise or consulting environments
Strong communication and stakeholder management skills