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Data Analyst Startup Jobs in California (NOW HIRING)

Hayden AI

Data Analyst

San Francisco, CA · On-site

$123K - $160K/yr

Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics ... Prior experience in a startup environment and a desire to make a significant impact.

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Numeral, Inc.

Data Analyst

San Francisco, CA · On-site

$55K - $120K/yr

Reconcile financial and transactional data from multiple sources to enable accurate, repeatable ... Startup mindset: Not scared of ambiguity and hungry for rapid growth * Intensity & Ownership: This ...

Compa

Compensation Data Analyst

San Francisco, CA · On-site

$100K - $145K/yr

About Compa Compa is a venture-backed AI startup revolutionizing the future of compensation. In a ... The Role: The Compensation Data Analyst plays a critical role in maintaining trust in Compa ...

ActiveHours

Senior Data Analyst

Palo Alto, CA

$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 ...

ActiveHours

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 ...

K2 Space

Senior Data Analyst

Los Angeles, CA

$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 ...

K2 Space

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 ...

thatgamecompany

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 ...

Hive

Data Operations Analyst

San Francisco, CA

$60K - $85K/yr

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

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

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

Rippling

Senior Data Analyst - Payments

San Francisco, CA · On-site

$114K - $199K/yr

... 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 ...

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

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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All JobsData Analyst Startup JobsData Analyst Startup Jobs in California

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 Jul 15, 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 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 is a Data Analyst Startup job?

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 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:
Data Analyst Startup jobs near you
Infographic showing various Data Analyst Startup job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Data Analyst

Data Analyst

Hayden AI

San Francisco, CA • On-site

$123K - $160K/yr

Full-time

Re-posted 23 days ago

Job description

About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
Job Summary:
Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.
Responsibilities
  • Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs
  • Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback
  • Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.
  • Serve as first responder for data discrepancy and freshness issues.
  • Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.
  • Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.
  • Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications
  • Bachelor's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.
  • 1-3 years of experience in data analytics
  • Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.
  • Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).
  • Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.
  • Experience building and maintaining dashboards in BI tools such as Tableau or Looker.
  • Solid understanding of descriptive statistics and ability to interpret analytical results.
  • Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications
  • Master's or PhD in Data Science, Transportation, or a related field.
  • Previous experience working with geospatial analytics and spatial datasets.
  • Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).
  • Experience with Grafana or similar operational monitoring tools.
  • Exposure to cloud platforms, especially AWS.
  • Prior experience in a startup environment and a desire to make a significant impact.

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