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Google Data Studio Jobs in California (NOW HIRING)

Accenture

Google Data Specialist

Mountain View, CA · On-site

$70K - $196K/yr

Support development of dashboards and analytics products using Looker or Looker Studio. 2. Support ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

Accenture

Google Data Specialist

Sacramento, CA · On-site

$70K - $196K/yr

Support development of dashboards and analytics products using Looker or Looker Studio. 2. Support ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

Accenture

Google Data Specialist

San Diego, CA · On-site

$70K - $196K/yr

Support development of dashboards and analytics products using Looker or Looker Studio. 2. Support ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

Accenture

Google Data Specialist

San Francisco, CA · On-site

$70K - $196K/yr

Support development of dashboards and analytics products using Looker or Looker Studio. 2. Support ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

Accenture

Google Data Specialist

Los Angeles, CA · On-site

$70K - $196K/yr

Support development of dashboards and analytics products using Looker or Looker Studio. 2. Support ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

Accenture

Google Data Specialist

Walnut Creek, CA · On-site

$70K - $196K/yr

Support development of dashboards and analytics products using Looker or Looker Studio. 2. Support ... Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag Manager, merchant account or data studio experience preferred

Programmers.io

Product Owner

Culver City, CA · On-site

Familiarity with data visualization tools (e.g., Tableau, Google Data Studio) for reporting on content operations metrics pulled from Airtable. * Experience working with remote or globally ...

Upgrow

PPC Manager

San Francisco, CA · On-site +1

$20K/mo

Create/manage Google Data Studio dashboards. * Reporting on account performance and insights. REQUIRED SKILLS & QUALIFICATIONS * Bachelor's degree or equivalent experience. * 2-3 years of PPC ...

Upgrow

PPC Manager

San Francisco, CA · On-site

$20K/mo

Create/manage Google Data Studio dashboards. * Reporting on account performance and insights. REQUIRED SKILLS & QUALIFICATIONS * Bachelor's degree or equivalent experience. * 2-3 years of PPC ...

Upgrow

SEO Director

San Francisco, CA · Hybrid

... Google Data Studio, Google Docs/Microsoft Office Manage and train a team of SEO Managers, content writers, and other team members. REQUIREMENTS 5+ years of SEO experience Passionate about SEO, ...

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All JobsGoogle Data Studio JobsGoogle Data Studio Jobs in California

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$56

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How much do google data studio jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for google data studio in California is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $66.44 per hour, depending on experience, location, and employer.

What is a Google Data Studio?

A Google Data Studio job typically involves using Google Data Studio (now Looker Studio) to create interactive reports and dashboards by visualizing data from various sources. Professionals in this role work with business intelligence, data analysis, and reporting to help organizations track key metrics and make data-driven decisions. Responsibilities may include connecting data sources, designing dashboards, and optimizing reports for clarity and usability. This role is often found in marketing, finance, or analytics teams where data visualization is crucial.

What are the typical responsibilities and challenges faced by professionals working with Google Data Studio?

Professionals working with Google Data Studio are often responsible for developing and maintaining interactive dashboards, integrating data from various sources, and ensuring data accuracy and clarity for stakeholders. One of the main challenges is translating complex, raw data into visually compelling and easy-to-understand reports that meet the needs of different departments or clients. These roles frequently involve collaborating with marketing, sales, or IT teams to align data reporting with organizational goals. Mastery of Google Data Studio tools and a keen attention to business requirements help ensure your analyses drive impactful decisions and provide ongoing value to your team.

What are the key skills and qualifications needed to thrive in the Google Data Studio position, and why are they important?

To excel in a Google Data Studio role, you need strong analytical skills, data visualization expertise, and proficiency in manipulating datasets, often supported by a background in business intelligence, analytics, or a related field. Familiarity with Google Data Studio, Google Analytics, SQL, and data connectors, as well as certifications in data analytics or related platforms, is valuable. Excellent communication, problem-solving, and stakeholder management abilities set top candidates apart. These skills are vital for translating complex data into actionable insights, driving informed business decisions, and effectively collaborating across teams.

What does Google Data Studio do?

Google Data Studio is a data visualization tool used by data analysts and reporting specialists to create interactive dashboards and reports. It connects to various data sources, such as Google Sheets and BigQuery, enabling users to analyze and share insights visually. Proficiency in data analysis and familiarity with data connectors are helpful for this role.

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

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

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

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

Google Data Studio jobs near you
Infographic showing various Google Data Studio 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 $116,623 per year, or $56.1 per hour.

Data Scientist, GenAI Strategy and Operations, DeepMind (Fixed-Term Contract)

Socket.dev

Mountain View, CA • On-site

$256 - $278/hr

Other

Posted 12 days ago

Job description

Minimum qualifications:
  • Bachelor's degree in Business Analytics, Information Technology, Computer Science, Data Science, a related field, or equivalent practical experience.
  • 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • 5 years of experience in a consulting role developing and executing performance advertising strategies.
Preferred qualifications:
  • MBA or Master's degree in Statistics, Data Science , or a related field.
  • Experience with advanced data visualization, Business Intelligence (BI) tools, and translating complex datasets into executive-level insights, and experience with a scripting language (e.g., Python or Apps Script) to automate data analysis.
About the job:

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
Through your professional expertise and judgment, you work on multiple projects concurrently, developing analyses, models and methods to support and verify the impact of your recommendations. You share your expertise by consulting on projects, serving on committees and mentoring team members.

With Google DeepMind, you will drive focus and clarity for the GenAI team and enable seamless operations that catalyze our path to AGI.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $256000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.

Responsibilities:
  • Partner closely with cross-functional leadership to define core operational hypotheses and design metric frameworks.
  • Develop, deploy, and scale intuitive, self-service analytical dashboards (PLX, Tableau, or Google Data Studio) to enable real-time monitoring of organizational health and KPIs for stakeholders.
  • Programmatize workflows, manage resource dependencies, proactively mitigate risks, and collaborate across internal teams to ensure operational rhythm and milestone execution.
  • Act as a trusted advisor to senior leadership by synthesizing complex quantitative findings into clear, narrative-driven presentations. Communicate technical and statistical insights effectively to influence strategic decision-making.
  • Apply advanced data science methodologies to evaluate organizational design, productivity, and spending patterns, translating data into insights.
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