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Data Analyst Ai Jobs in San Ramon, CA (NOW HIRING)

Unchain Data

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

About Us Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to ... The Role We're seeking our first data analytics hire to establish and own the data foundation for ...

Infinitus

Data Analyst

San Francisco, CA · On-site

Help Build the Future of Healthcare AI Infinitus is AI communications in service of patients. Healt ... Your Skillset 5+ years of professional experience in data analytics, with a track record of ...

Cardless, Inc

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or ...

Harper

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a simple bet: turning ...

Harper

Data Analyst

San Francisco, CA · On-site

$140 - $180/hr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a simple bet: turning ...

Harper Group

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance - we're rebuilding the entire business as software, on a simple bet: turning ...

Quest Global

Data Analyst - Tableau developer

Sunnyvale, CA · On-site

$105K - $115K/yr

Python development with Generative AI, LLM integrations and AI-driven data analytics solutions. What You Will Bring: * Tableau: Strong hands-on experience in Tableau dashboard development, including ...

New

Quest Global

Data Analyst - Tableau developer

Sunnyvale, CA · On-site

$105K - $115K/yr

Python development with Generative AI, LLM integrations and AI-driven data analytics solutions. What You Will Bring: * Tableau: Strong hands-on experience in Tableau dashboard development, including ...

New

Quest Global

Data Analyst - Tableau developer

Sunnyvale, CA · On-site

$105K - $115K/yr

Python development with Generative AI, LLM integrations and AI-driven data analytics solutions. What You Will Bring: * Tableau: Strong hands-on experience in Tableau dashboard development, including ...

New

Western Digital

Principal Data Analyst

San Jose, CA

As AI scales, so does data. Every interaction, every model, every system generates data that must ... Western Digital is seeking a highly analytical, strategic, and operationally focused Supply Chain ...

Midi Health

Data Analyst, Growth

San Francisco, CA · Hybrid

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale ... AI Adoption & Tech Fluency: Comfortable integrating generative AI tools (like Claude) and modern ...

Western Digital

Principal Data Analyst

San Jose, CA · On-site

As AI scales, so does data. Every interaction, every model, every system generates data that must ... Western Digital is seeking a highly analytical, strategic, and operationally focused Supply Chain ...

Western Digital

Principal Data Analyst

San Jose, CA · On-site

$164K - $218K/yr

As AI scales, so does data. Every interaction, every model, every system generates data that must ... Western Digital is seeking a highly analytical, strategic, and operationally focused Supply Chain ...

The Walt Disney Company

Sr Data Analyst

San Francisco, CA

$101K - $127K/yr

Job Posting Title: Sr Data Analyst Req ID: 10157869 The Product & Tech Analytics team is seeking a ... AI Enablement: This is an AI-first analytics team that has a robust assortment of tools (Claude ...

Midi Health

Data Analyst, Growth

San Francisco, CA · On-site +1

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale ... AI Adoption & Tech Fluency: Comfortable integrating generative AI tools (like Claude) and modern ...

Meta

Data Analyst, Global Operations

Menlo Park, CA

$125K/yr

As a data analyst in global operations, you'll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic ...

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All JobsData Analyst Ai JobsData Analyst Ai Jobs in San Ramon, CA

Data Analyst Ai information

See San Ramon, CA salary details

$38K

$92.4K

$152K

How much do data analyst ai jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analyst ai in San Ramon, CA is $92,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $108,400.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What are the most commonly searched types of Data Analyst Ai jobs in San Ramon, CA?

The most popular types of Data Analyst Ai jobs in San Ramon, CA are:

What are popular job titles related to Data Analyst Ai jobs in San Ramon, CA?

For Data Analyst Ai jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Data Analyst Ai jobs in San Ramon, CA look for?

The top searched job categories for Data Analyst Ai jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Data Analyst Ai jobs?

Cities near San Ramon, CA with the most Data Analyst Ai job openings:

Data Analyst Ai jobs near you
Infographic showing various Data Analyst Ai job openings in San Ramon, CA as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $92,352 per year, or $44.4 per hour.

Senior Data Analyst

Unchain Data

San Francisco, CA • On-site

$80 - $120/hr

Other

Posted 5 days ago

Job description

About Us

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality. As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.

The Role

We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights.

As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands.

Requirements
  • 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership
  • Strong SQL and Python scripting skills for data manipulation and analysis
  • Expert at data debugging and ensuring data correctness with a proactive approach to data health
  • Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar)
  • Exceptional attention to detail with consistent review and improvement of data systems
  • Strong communication and collaboration skills with the ability to articulate complex data insights to leadership
  • Experience working with highly technical teams and understanding technical business models
  • Proactive in seeking clarification when needed and comfortable navigating ambiguity
  • Ability to accept direct feedback and continuously improve
Nice to Have
  • Experience in GPU compute infrastructure or cloud computing space
  • Background in AI infrastructure or related technical domains
  • Data engineering skills or familiarity with data pipeline development
  • Experience at high-growth, early stage, technical companies
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