1

Data Analytics Google Jobs in California (NOW HIRING)

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 ...

BizBuySell - Lead Data Analyst

San Francisco, CA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Google Analytics, Google Tag Manager). Exposure in performing data analysis and providing insights for high-traffic SaaS products, particularly with multi-sided marketplaces, conversion funnels, and ...

BizBuySell - Lead Data Analyst

San Francisco, CA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Google Analytics, Google Tag Manager). * Exposure in performing data analysis and providing insights for high-traffic SaaS products, particularly with multi-sided marketplaces,conversionfunnels ...

Senior Associate, Data Operations

Los Angeles, CA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin, ...) and others is strongly preferred. * Strong speaking and written professional communication ...

Ensure data accuracy and integrity by performing regular audits and troubleshooting tracking issues. Technical/Experience Requirements: * Bachelor's degree in Marketing, Data Science, Computer ...

Software Engineer III, BigQuery ML

Sunnyvale, CA ยท On-site

$134K - $161K/yr

Data Analytics, BigQuery, Evaluations, Statistical Analysis, Inference. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect ...

Google Data Specialist

Mountain View, CA ยท On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Platform Customer Engineer, Google Cloud

Sunnyvale, CA ยท On-site

$65.50 - $87.50/hr

... data analytics, Cloud AI, networking, migrations, security. About the job As a Platform Customer ... Google Cloud accelerates every organization's ability to digitally transform its business and ...

Showing results 21-40

Data Analytics Google information

See California salary details

$24

$54

$93

How much do data analytics google jobs pay per hour?

As of Aug 19, 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.

Infographic showing various Data Analytics Google 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 $112,382 per year, or $54 per hour.

Data Science and Analytics_05

Omnicom

Los Angeles, CA โ€ข On-site

Full-time

Posted 27 days ago


Job description

Agency:

Omd

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics


Job Description:

As an Associate Director on the Marketing Science Measurement and Reporting team, you will develop actionable insights through quantitative analysis, innovative thinking, and industry knowledge to contribute to both tactical and strategic efforts. You will apply your analytical and technical expertise to evolve campaign deliverables that meet client business needs. This role requires managing both people and processes across multiple Marketing Science functions, reporting directly to the Global Director. We are looking for an emerging leader who is comfortable with media data and translating insights into progress against client marketing goals.
Areas of Responsibility:
Client Relationship Management: Present findings, insights, and methodological approaches to clients across a variety of presentation opportunities.
Team Operations: Connect across planning, strategy, investment, and technology teams to ensure a holistic understanding of data.
Audience Discovery and Strategy: Develop fluency in audience definition, creation, and strategy using multiple data sources.
Measurement and Reporting: Develop measurement strategies and frameworks, set benchmarks based on historical campaign data, oversee reporting, and surface actionable insights.
Data Strategy and Technology: Build advanced dashboards in visualization tools such as PowerBI and Tableau. Contribute to the Data and Technology Test and Learn roadmap, helping prioritize initiatives tied to business impact.
Thought Leadership: Draft POVs and internal thought leadership on emerging technologies, platforms, and data capabilities. Stay current on industry trends through ongoing research and training.
External-Facing Responsibilities:
Build a deep understanding of the client's strategic priorities, key initiatives, and competitive positioning.
Construct clear, compelling, and actionable narratives using sophisticated analytics techniques.
Participate in measurement plan development and execution, including marketing mix modeling and unified measurement approaches.
Ensure timely delivery of all scheduled and ad hoc deliverables.
Recommend and implement research to support consumer insight gathering and strategic planning.
Identify opportunities to continuously improve processes.
Lead, mentor, and develop analysts and managers
Present reports, POVs, and other materials to clients regularly, both remotely and in person.
Contribute to consumer segmentation and audience identification processes.
Design tests to measure the incremental impact of media on business outcomes.
Integrate technology initiatives into the broader learning agenda, ensuring insights ladder up to measurable business outcomes.
Desired Experience:
Experience partnering with mid-level and junior clients on key deliverables.
Prior management of teams of 1 or more Marketing Science staff, including Associate Manager and Senior Analyst levels.
Broad experience with behavioral data and syndicated research data sources, including 1st and 3rd party data solutions.
Solid understanding of offline and online channel KPIs across cross-channel analytics.
Application of statistical methods to data analysis, including marketing mix modeling.
Strong foundation in media strategy, budget setting, and channel selection.
Experience managing or applying advanced analytics and statistical methods using code.
Familiarity with AI/ML concepts and their application to marketing measurement.
Working knowledge of privacy regulations, signal loss challenges (cookie deprecation, ID graphs), and data compliance best practices.
Experience creating documentation and developing repeatable, scalable processes.
Desired Technical Skills:
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 sources (Acxiom, Experian, Clickstream, Location, IRI, LiveRamp)
Syndicated research tools (GfK, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
Cross-media brand lift research tools (Kantar, Lucid, etc.)
Data visualization tools: Power BI (preferred), Tableau, Datorama, Alteryx
Database design concepts and SQL
Requirements:
5 to 7+ years of experience, preferably in marketing analytics
Demonstrated knowledge in audience-based marketing and data-driven advertising
Strong analytical and critical thinking skills with the ability to clarify and resolve strategic and operational issues related to data
Proven leadership ability and strong client relationship experience
Excellent communication and presentation skills; ability to translate complex data findings into clear, compelling marketing strategies
Familiarity with current data privacy regulations and evolving identity solutions
Ability to train and coach colleagues across areas including analysis, project management, and business writing
Comfortable working in ambiguous situations
Ability to think logically and apply quantitative techniques to problems such as campaign analysis, optimization, data management, and predictive modeling
Bachelor's degree in math, economics, engineering, social sciences, finance, or business/marketing
Agency-side media campaign planning experience is a plus California: $70,000.00-$135,000.00

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.


Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.


Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice


For US Job Seekers:


It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.