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Data Analyst Startup Jobs in California (NOW HIRING)

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

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 ...

Lead Data Analyst

Los Angeles, CA · On-site

$120 - $180/hr

Previous "first data hire" experience at a startup or high-growth company. * Excitement about ... Opportunity to define and build Facer's entire analytics and growth measurement function. * High ...

Data Analyst II

El Segundo, CA · On-site

$100 - $115/hr

## Data Analyst IIApplyremote type: On-sitelocations: El Segundo, CAtime type: Full timeposted on ... Experience in a startup business environment* Experience working with Merch & Planning data*

Experience in a startup business environment * Experience working with Merch & Planning data ... Be a part of the larger Data Analytics organization at TechStyle Fashion Group (60+ team members ...

Experience in a startup business environment * Experience working with Merch & Planning data ... Be a part of the larger Data Analytics organization at TechStyle Fashion Group (60+ team members ...

Experience in a startup business environment * Experience working with Merch & Planning data ... Be a part of the larger Data Analytics organization at TechStyle Fashion Group (60+ team members ...

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... As part of a rapidly growing startup, you'll have the freedom to shape your role, choose your tools ...

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... As part of a rapidly growing startup, you'll have the freedom to shape your role, choose your tools ...

... startup, we'd love for you to apply. As a Senior Data Analyst on our Enterprise Systems team, you ... will turn K2 Space's operational data into the insights that drive smarter decisions across ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

... startup, we'd love for you to apply. As a Senior Data Analyst on our Enterprise Systems team, you ... will turn K2 Space's operational data into the insights that drive smarter decisions across ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

... startup, we'd love for you to apply. As a Senior Data Analyst on our Enterprise Systems team, you ... will turn K2 Space's operational data into the insights that drive smarter decisions across ...

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Remote US & Canada We are seeking a highly motivated and autonomous Senior Data Analyst to join our ... Experience in a small company with a startup feel * Interest in technical writing and sharing your ...

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ... This is a great opportunity to see how a high growth startup functions in action. Responsibilities

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ... This is a great opportunity to see how a high growth startup functions in action. Responsibilities

... startup employers by Forbes. We prioritize candidate safety. Please be aware that all official ... About the role Rippling's Payments Data & Analytics team is seeking an experienced and highly ...

... startup employers by Forbes. We prioritize candidate safety. Please be aware that all official ... About the role Rippling's Payments Data & Analytics team is seeking an experienced and highly ...

Data Partnerships Analyst Location: San Francisco Bay Area Type: Full-Time Compensation ... This role gives you direct exposure to startup founders, investors, and senior executives at ...

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Showing results 1-20

Data Analyst Startup information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst startup jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analyst startup in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a data analyst startup?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

What are some challenges a data analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the data analyst startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

What are the most commonly searched types of Data Analyst Startup jobs in California?

The most popular types of Data Analyst Startup jobs in California are:

What are popular job titles related to Data Analyst Startup jobs in California?

For Data Analyst Startup jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Analyst Startup jobs in California look for?

The top searched job categories for Data Analyst Startup jobs in California are:

What cities in California are hiring for Data Analyst Startup jobs?

Cities in California with the most Data Analyst Startup job openings:

Infographic showing various Data Analyst Startup job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 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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