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Data Analytics Google Jobs in California (NOW HIRING)

Evaluate our current stack (Appfigures, Google Analytics, Firebase, BigQuery, Looker Studio) and lead migration or adoption of new tools if needed. * Act as the company's go-to data expert ...

Data Engineer, Google Maps

Mountain View, CA · On-site

$135K - $162K/yr

Perform data analysis and profiling utilizing either established or custom tooling/infrastructure ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform ... Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development * Strong SQL ...

New

Data Engineer, Google Maps

Mountain View, CA · On-site

$134K - $161K/yr

Perform data analysis and profiling utilizing either established or custom tooling/infrastructure ... Google is proud to be an equal opportunity and affirmative action employer. We are committed to ...

Strong proficiency in MS Excel and PowerPoint/Keynote Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.) Behavioral data ...

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Data Analytics Google information

See California salary details

$24

$54

$93

How much do data analytics google jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data analytics google in California is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What are data analytics roles at Google?

Data Analytics roles at Google involve collecting, processing, and interpreting large sets of data to help inform business decisions, improve products, and solve complex problems. These professionals use statistical tools, programming languages like SQL and Python, and data visualization techniques to analyze information from various sources. They work closely with teams across the company to generate insights, create reports, and support strategic planning. Their work is crucial for driving innovation and maintaining Google's competitive edge.

What are the key skills and qualifications needed to thrive as a data analytics professional using Google tools?

To thrive as a Data Analytics professional, you need a solid background in statistics, data interpretation, and analytical problem-solving, often supported by a degree in a quantitative field. Familiarity with Google Analytics, Google Data Studio, BigQuery, and relevant certifications like the Google Data Analytics Certificate is highly valued. Strong communication, critical thinking, and the ability to translate data insights into actionable recommendations are standout soft skills. These competencies are crucial for transforming complex data into strategic business decisions and driving measurable impact.

How does a data analytics professional at Google typically collaborate with cross-functional teams?

At Google, Data Analytics professionals often work closely with product managers, engineers, UX designers, and business stakeholders to translate data findings into actionable strategies. They participate in regular meetings to align on project goals, share analytical insights, and recommend data-driven solutions. Collaboration tools and clear communication are essential, as analytics experts must present complex data in an understandable way to support decision-making across departments.

What is the difference between Data Analytics Google vs Data Analyst?

AspectData Analytics GoogleData Analyst
Required CredentialsBachelor's in related field, Google certificationsBachelor's in related field, certifications vary
Work EnvironmentTech companies, corporate settings, remote optionsVarious industries, corporate and consulting firms
Employer & Industry UsagePrimarily in tech and digital marketing sectorsBroadly across finance, healthcare, retail, and more
Common Search & ComparisonYesYes

Data Analytics Google typically refers to roles involving data analysis within Google or using Google tools, often requiring specific certifications and working in tech environments. Data Analyst is a broader role across multiple industries, with varied employers and credentials. While both focus on analyzing data to inform decisions, Data Analytics Google is more specialized within the Google ecosystem, whereas Data Analyst roles are more diverse in scope and industry.

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

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

Infographic showing various Data Analytics Google job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,382 per year, or $54 per hour.

Practice Customer Engineer, Data Analytics, Google Cloud

Mountain View, CA • On-site

Google Inc.
Software Development • 10K+ employees

$134K - $161K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Share Practice Customer Engineer, Data Analytics, Google Cloud

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corporate_fare Google place Mountain View, CA, USA ; Boulder, CO, USA ; +8 more ; +7 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

info_outline X The application window will be open until at least September 8, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may also be located in our Playa Vista, CA campus.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Boulder, CO, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Portland, OR, USA; Phoenix, AZ, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with "Big Data" technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
  • Experience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
  • Experience in technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.
  • Experience with developing data warehousing, data lakes, batch or real-time event processing and ETL workflows solutions (i.e., Informatica, Talend, Alooma, SAP, Data Services) which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
  • Ability to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC and working knowledge of Linux.
About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to design data foundation architectures and develop MVPs (Minimum Viable Products) to sell new, highly specialized solutions to customers. You will solve analytics-centered customer challenges and provide a critical feedback loop to unblock customers and influence product development.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits

Learn more about benefits at Google.

  • Support local sales teams in pursuit of key business opportunities, and with engage customers to address aspects of the data lifecycle.
  • Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.
  • Take responsibility for leading technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
  • Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as required for meetings, technical reviews, and onsite delivery activities.
  • Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and RFI response documents.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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