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Google Data Analytics Certificate Jobs (NOW HIRING)

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · Remote

$75 - $85/hr

Architect data platforms supporting analytics, operational, and AI/ML workloads * Develop data ... Google Cloud Platform certifications (Professional Data Engineer/Cloud Architect) By providing your ...

VeeRteq Solutions Inc.

Google Analytics

New York, NY · Remote

Proficiency in Google Analytics setup and Pixels, including tracking code implementation, goal and funnel configuration, and data filtering. * Expertise in creating custom dimensions, metrics, and ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

... Google Data Analytics Professional Certificate • Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

TLA-LLC

Data Analyst

Mclean, VA

... Google Data Analytics Professional Certificate Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

LG Electronics

Network Data Analyst

Huntsville, AL

Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to ... Streamline and automate planning processes in partnership with analytics teams, leveraging key ...

Deloitte

Google Data Engineering Consultant

Rosslyn, VA

$130K - $156K/yr

You will help build scalable platforms, analytics products, and data pipelines that enable mission ... Google certifications preferred * Experience with Vertex AI, application programming interfaces, or ...

Deloitte

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/yr

You will help build scalable platforms, analytics products, and data pipelines that enable mission ... Google certifications preferred * Experience with Vertex AI, application programming interfaces, or ...

Diverse Lynx

BA/ DA

Manhattan, NY · On-site

Power BI, Tableau, or Google Data Analytics certifications Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without ...

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How much do google data analytics certificate jobs pay per year?

As of Jun 10, 2026, the average yearly pay for google data analytics certificate in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a Google Data Analytics Certificate job?

A Google Data Analytics Certificate job typically refers to an entry-level role in data analytics that values the skills taught in the Google Data Analytics Professional Certificate program. Common job titles include Data Analyst, Business Analyst, or Reporting Analyst. These roles involve collecting, cleaning, analyzing, and visualizing data to help businesses make informed decisions. While the certificate can improve job prospects, gaining practical experience and additional technical skills can further enhance employability.

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

To thrive with a Google Data Analytics Certificate, you need a solid foundation in statistical analysis, data visualization, and problem-solving, typically supported by formal training or certification such as the Google Data Analytics Certificate itself. Proficiency in tools like spreadsheets, SQL, Tableau, and data cleaning software is essential for handling and interpreting data effectively. Attention to detail, effective communication, and a collaborative mindset are soft skills that help professionals succeed in this field. These abilities are crucial as they ensure accurate data-driven insights, clear reporting, and successful teamwork within data-oriented environments.

What types of entry-level job roles can I pursue after earning the Google Data Analytics Certificate?

After earning the Google Data Analytics Certificate, you are well positioned to apply for entry-level data analyst roles such as Junior Data Analyst, Business Intelligence Analyst, or Operations Analyst. These positions typically involve collecting, cleaning, and interpreting datasets, generating reports, and supporting decision-making for teams or departments. Many organizations value the hands-on skills taught in the certificate, such as data visualization, data preparation, and statistical analysis, making certificate holders competitive applicants. Additionally, with on-the-job experience, these roles often provide a clear path to more advanced positions in analytics or data science.

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Google Data Analytics Certificate jobs near you

Technical Program Manager III, Advanced Analytics, Google Data Center

Google

Seattle, WA • On-site

$59 - $79.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 188 rated software companies

Job description

info_outline
X 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: Seattle, WA, USA; Kirkland, WA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
  • Bachelor's degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience in SQL, Python, or BigQuery.
  • Experience in advanced analytics or AI/ML model-based solutions, and data engineering or systems management (e.g., data warehousing, data analytics, business intelligence, visualization, data governance, data architecture, and system integration).

Preferred qualifications:
  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in modern data warehouses using cloud based solutions from data sources, predictive analytics, or machine learning.
  • Experience leading and delivering data-focused programs.
  • Experience with executing change management or program strategy.
  • Experience in developing batch and real time streaming data pipelines using Google Cloud Platform BigQuery, Dataflow, and Publish/Subscribe from data sources (e.g., Oracle, SAP).

About the job
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As a Technical Program Manager at Google, you will lead multi-disciplinary projects for Google's Data Center teams. You will plan requirements with internal customers and support projects through the entire project life-cycle, manage project schedules, identify risks, and communicate goals to project stakeholders. You will work with stakeholders to architect, execute, and deliver data ingestion, leadership visualizations and insights, data warehouse infrastructure and data models, and advanced analytics leveraging ML/AI. You will manage program schedules, highlight risks, and communicate goals.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Design and implement data warehouse infrastructure, data structures, batch and real-time data pipelines, predictive analytics and machine learning models using Google Cloud Platform (GCP), translate data and model results into strategic insights for leadership and business stakeholders.
  • Lead multiple data-solution programs, including coding responsibilities covering data pipelines, visualizations, data alerts, advanced analytics, and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams.
  • Manage all aspects of program deliverables from project inception to implementation and resource oversight.
  • Manage datasets to extract business insights that help maintain up-time of critical data center operations, and increase operating efficiency of teams responsible for designing and building Google's data center footprint.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.

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