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Remote Google Data Analyst Jobs in California (NOW HIRING)

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

  • Medical

  • PTO

Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

Work with data from multiple sources (Amplitude, Google Ads, Meta Ads, payment systems, CRM, etc ... Global remote flexibility We may use artificial intelligence (AI) tools to support parts of the ...

Tailored Brands

Sr Data Analyst - Marketing Analytics

Dublin, CA · On-site +1

$97K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Google Data Studio, Tableau, or Power BI that enable rich dashboards and insight generation. • ... from a remote office location Benefits This role is eligible for healthcare including medical ...

Tailored Brands

Data Analyst - eCommerce Analytics

Dublin, CA · On-site +1

$146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Dive deep into customer behavior data in Google Analytics, sales data in Snowflake, and aggregated ... from a remote office location. Benefits This role is eligible for healthcare including medical ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0243644 Location: San Diego,CA,US Share job via: Share Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights.

Gainwell Technologies

Data Analyst

Roseville, CA · Remote

$59K - $85K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Summary As a Data Analyst at Gainwell, you can contribute your skills as we harness the power of ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

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 ... Google, etc.). * Analytical Capabilities: Ability to analyze conversion funnels and translate ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role ...

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Remote Google Data Analyst information

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How much do remote google data analyst jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote google data analyst in California is $40.11, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $48.61 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Google Data Analyst, you need strong analytical skills, proficiency in data visualization, and a background in statistics or a related field, often supported by a relevant degree or Google Data Analytics Certificate. Familiarity with tools such as Google Analytics, BigQuery, SQL, Tableau, and Excel is crucial for managing and interpreting large datasets. Excellent communication, problem-solving, and self-motivation enable effective collaboration and independent work in a remote setting. These skills ensure accurate data-driven insights, clear reporting, and successful teamwork across distributed teams.

How does a remote Google Data Analyst typically collaborate with team members across different time zones?

As a Remote Google Data Analyst, collaboration often occurs through virtual meetings, shared dashboards, and cloud-based project management tools. You’ll regularly coordinate with cross-functional teams such as marketing, engineering, and product managers by providing data-driven insights and visualizations. Effective communication and flexibility in scheduling are essential, as meetings may be held at varied times to accommodate global teams. Staying proactive in sharing updates and documenting your analyses helps ensure everyone stays aligned despite the distance.

What does a remote Google Data Analyst do?

A Remote Google Data Analyst is responsible for collecting, processing, and analyzing data to help businesses make informed decisions, all while working from a remote location. They primarily use Google tools like Google Analytics, BigQuery, and Google Data Studio to interpret data and generate actionable insights. Their tasks may include creating reports, visualizing trends, and supporting teams with data-driven recommendations. Effective communication and strong analytical skills are essential for this role. Working remotely, they often collaborate virtually with team members across different locations.

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

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

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

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

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

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

What cities in California are hiring for Remote Google Data Analyst jobs?

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Remote Google Data Analyst jobs near you
Infographic showing various Remote Google Data Analyst job openings in California as of August 2026, with employment types broken down into 57% Full Time, and 43% Temporary. Highlights an 100% Remote job distribution, with an average salary of $83,432 per year, or $40.1 per hour.

Sr. Data Analyst

Thunkable

San Francisco, CA • Remote

$90K - $130K/yr

Full-time

Medical, PTO

Re-posted 16 days ago

Job description

Role Overview
 
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you'll not only analyze data to generate insights but also help connect and organize data from multiple sources-such as product analytics, marketing platforms, payments, and user systems-into a more complete and reliable view. We're looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product.
 
Key Responsibilities
 
- Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
- Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
- Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration,  automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
- Document data architecture, key components, and data flows to ensure clarity.
- Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem.
- Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights.
- Develop and monitor key metrics, including setting up automated dashboards and recurring reports.
- Lead data initiatives and experimentation, defining measurement approaches and evaluating success.
 
Required Qualifications
 
- BA/BS degree or above in a related field or equivalent experience required.
- 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
- Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools).
- Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
- Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
- Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
- Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.)
- You have strong analytical and problem-solving skills, with a keen attention to detail.
- You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.
- You are a self-starter who thrives in a start-up environment and has a strong follow-through.
 
Preferred Qualifications
 
- Experience with improving data pipelines, data storage and analytical frameworks.
- Event tracking (eg. Javascript, Google tag manager)
- Javascript and React.
$90,000 - $130,000 a year
Life at Thunkable
 
Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.
 
Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.
 
What You'll Get:
- Competitive compensation, equity, and unlimited PTO
- Health, wellness, and training budget
- Global remote flexibility
- The opportunity to directly influence the future of no-code and AI-driven app development
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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