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Data Analytics Google Jobs in California (NOW HIRING)

Mattel, Inc.

Manager, Data Analytics

El Segundo, CA · On-site

... as Google Analytics or Adobe Analytics • Strong understanding of ecommerce and marketing ... complex data into clear insights and recommendations that influence business strategy • ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning their data platform ... Google BigQuery, and SaaS API pipeline development • Strong SQL skills including joins, window ...

True Classic

Data & Analytics Engineer

Calabasas, CA

$121K - $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 ...

True Classic

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/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 ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $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 ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Google Analytics, and Excel.) Location: We are currently hiring this role in Santa Monica ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Google Analytics, and Excel.) Location: We are currently hiring this role in Santa Monica ...

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All JobsData Analytics Google JobsData Analytics Google Jobs in California

Data Analytics Google information

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$24

$54

$93

How much do data analytics google jobs pay per hour?

As of Jul 26, 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 the key skills and qualifications needed to thrive as a Data Analytics professional using Google tools, and why are they important?

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.

Does Google hire data analysts?

Yes, Google hires data analysts to work on data-driven projects, utilizing tools like SQL, Python, and data visualization software. These roles often require strong analytical skills, experience with large datasets, and relevant certifications or degrees in related fields.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and tools like Excel, SQL, and Python. Many professionals successfully transition into data analytics later in their careers by gaining relevant certifications and experience. Employers focus on skills and knowledge rather than age, making it possible to start a data analyst career at 40 or older.

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.

How much does Google pay a data analyst?

Google data analysts typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and level. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Compensation often includes benefits such as bonuses and stock options.

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.

Is Google Analytics a good career?

A career involving Google Analytics as a data analyst or digital marketing professional can be valuable, as it is a widely used tool for tracking website performance and user behavior. Success in this field often requires skills in data analysis, SQL, and visualization tools, along with certifications like Google Analytics IQ. It offers opportunities in various industries with a focus on data-driven decision making.

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:
What job categories do people searching Data Analytics Google jobs in California look for? The top searched job categories for Data Analytics Google jobs in California are:
Data Analytics Google jobs near you
Infographic showing various Data Analytics Google job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $112,382 per year, or $54 per hour.
Technical Program Manager III, Analytics, Google Beam

Technical Program Manager III, Analytics, Google Beam

Google

San Francisco, CA • On-site

$152K - $196K/yr

Full-time

Posted 27 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

51st of 245 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Technical Program Manager III for their Analytics team. In this role, you will lead complex projects, ensuring compliance and driving success metrics for the Google Beam product, while collaborating with various engineering teams.
Responsibilities:
• Build and maintain scalable dashboards and reporting to monitor the success of our product, customers, and features. Communicate progress against goals to leadership, and both technical and non-technical audiences.
• Partner closely with our engineering telemetry infrastructure team to ensure key data is captured and stored in manners that meet product, business, and privacy/regulatory needs.
• Partner with Labs and Cloud teams to ensure Beam’s serving needs are met; managing GPU capacity requests for serving and ML/AI model training.
• Ensure Beam meets Compliance and Privacy standards, stewarding cross-product area processes and audits, and managing on-team deliverables.
• Drive clarity and accountability to ensure the highest priority work is delivered on schedule, embedded within Telemetry and Networking engineering teams.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program or project management.
• Experience with SQL and data warehousing.
• Experience with the software development lifecycle.
• Experience with statistical tools (e.g., R, Python).
Preferred:
• 5 years of experience managing cross-functional or cross-team projects.
• Experience working on 0-1, first of a kind, or start-up focused initiatives.
• Ability to work independently in an unstructured environment; comfortable navigating ambiguity.
• Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions.
• Strong communication and presentation skills to deliver findings of analysis.
• Strong technical writing skills and proven ability to effectively communicate complex analysis.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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