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Remote Google Data Analyst Jobs in California (NOW HIRING)

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

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 ...

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

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 ...

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

We need an experienced data analyst who can help us organize and maintain that data, as well as ... General knowledge around the data capabilities provided by the Google Cloud Platform * Prior ...

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Data Analyst

San Diego, CA · On-site +1

$61K - $141K/yr

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.

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 ...

Data Analyst

Foster City, CA · Remote

$85K - $100K/yr

... data-proven results * Strong analytical, organizational and problem-solving skills including ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. Data Analysts support business ...

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 ...

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 ...

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through ...

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Remote Google Data Analyst information

See California salary details

$14

$40

$68

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

As of Jul 27, 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 are the key skills and qualifications needed to thrive as a Remote Google Data Analyst, and why are they important?

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 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? Cities in California with the most Remote Google Data Analyst job openings:
Infographic showing various Remote Google Data Analyst job openings in California as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,432 per year, or $40.1 per hour.
Sr. Data Analyst

Sr. Data Analyst

Thunkable

San Francisco, CA • Remote

$90K - $130K/yr

Full-time

Medical, PTO

Posted 29 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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