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Google Data Analytics Certificate Jobs (NOW HIRING)

Peak6 Investments LLC

Data Analytics Lead

Relevant certifications such as Google Data Analytics, Tableau Desktop Specialist, or AWS Certified Data Analytics. Work Experience * Required: 6+ years of progressive experience in data analytics ...

Huntington

Senior Google Data (AI) Architect

Chicago, IL · On-site

$69.25 - $92.75/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

Equivalent experience or certifications (Google Data Analytics, etc.) will be considered. Why Join WorkSimpli? * Be part of a high-impact SaaS company serving millions of users worldwide * Work cross ...

Huntington

Senior Google Data (AI) Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

Huntington

Senior Google Data (AI) Architect

Houston, TX

$64.25 - $86/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

Huntington

Senior Google Data (AI) Architect

Charlotte, NC · On-site

$65.75 - $88/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

Huntington

Senior Google Data (AI) Architect

Hagerstown, MD

$66.75 - $89.25/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

Huntington

Senior Google Data (AI) Architect

Cincinnati, OH

$65.50 - $87.75/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

Huntington

Senior Google Data (AI) Architect

Columbus, OH

$65 - $87/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

Huntington

Senior Google Data (AI) Architect

Hoover, AL · On-site

$57.75 - $77.25/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

Huntington

Senior Google Data (AI) Architect

Dallas, TX

$62.75 - $84.25/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Certification: Professional Data Engineer or Professional Cloud Architect (GCP). Exempt Status ...

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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

Business Data Scientist, Ads Marketing Analytics

Google

Kirkland, WA • On-site

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

Minimum qualifications:
  • Master's degree in a quantitative field (Statistics, Mathematics, Data Science, Bioinformatics, Economics, etc.) or equivalent practical experience
  • 3 years of experience in a data science field.
  • Experience with statistical software (e.g., R, Python, MATLAB) and database languages (i.e., SQL).
  • Experience using analytics to solve product or business problems, querying databases or statistical analysis.

Preferred qualifications:
  • PhD in Statistics or related quantitative discipline.
  • 2 years of experience, including statistical data analysis such as generalized linear models, multivariate analysis, clustering/segmentation and sampling methods.
  • Experience in controlled experiment design and causal inference methods.
  • Ability to prioritize requests and partner well in an environment with competing demands from stakeholders.
  • Ability to convince business stakeholders and communicate analysis insights to non-technical audiences and willingness to both teach others and learn new techniques.
  • Excellent communication and team-work including problem-solving skills.

About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Google Ads Marketing helps advertisers of all sizes succeed with digital marketing. In this role, you will work with a team to advance marketing science for customers using Google's advertising solutions. This unique opportunity applies Data Science tools to accelerate Ads business growth, working cross-functionally with Sales, Marketing, and Product teams.
As a Data Scientist on this team, you will perform deep data analytics, drive experimentation and measurement, and advance machine learning modeling to support global marketing programs.
Collaborating with a multidisciplinary team of marketers, product managers, data scientists, and engineers, you will leverage underlying data to align on key metrics and methodologies. Your insights will enable marketers to develop highly effective programs. Using core Data Science expertise, you will design, prototype, and build scalable analysis pipelines to support campaigns. You will perform analytics, execute experimentation, and conduct incrementality measurement to inform strategic decisions across the entire Ads Marketing lifecycle-from acquisition and onboarding to growth and retention.
You will build investigative frameworks and measurement capabilities to generate data-driven insights that drive business growth. You will effectively communicate your investigative results to marketing partners and leadership to inform critical decision-making.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Work with large, complex data sets. Solve analysis problems, applying advanced investigative methods (such as statistical and machine learning models) as needed. Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed.
  • Interact cross-functionally, making business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
  • Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.

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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