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Afternoon Google Data Analytics Certificate Jobs

Relevant certifications (e.g., Google Data Analytics Certificate, IBM Data Analyst Certificate, Microsoft Certified: Data Analyst Associate) * Familiarity with Apex * Graduate degree and experience ...

Relevant certifications (e.g., Google Data Analytics Certificate, IBM Data Analyst Certificate, Microsoft Certified: Data Analyst Associate) * Familiarity with Apex * Graduate degree and experience ...

And currently I'm working Google data analyst certification. I will be done with certification in 2 weeks My Skill Set * SQL * Data Cleansing * R Programming My Qualifications and Preferences Job ...

$138 - $200/hr

Knowledge of trends, products, and solutions in Cloud and Data and Analytics (BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack. About the job The Google ...

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Afternoon Google Data Analytics Certificate information

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$24

$54

$94

How much do afternoon google data analytics certificate jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for afternoon google data analytics certificate in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is an afternoon Google Data Analytics Certificate?

An Afternoon Google Data Analytics Certificate refers to the completion of the Google Data Analytics Certificate program, typically taken or completed during afternoon sessions or classes. This certificate program, offered through platforms like Coursera, equips learners with foundational data analytics skills, including data cleaning, analysis, and visualization, using tools such as spreadsheets, SQL, and Tableau. Completing this certificate can help individuals start a career in data analytics, enhance their resume, and prepare for entry-level roles in the field. The 'afternoon' designation may simply refer to the scheduled time of study or class sessions.

What types of projects or tasks do professionals with a Google Data Analytics Certificate typically handle in an afternoon shift?

Professionals with a Google Data Analytics Certificate working an afternoon shift often focus on tasks such as cleaning and organizing datasets, creating data visualizations, and generating reports to support business decisions. They may also collaborate with cross-functional teams to clarify data requirements and troubleshoot data issues that arise throughout the day. The afternoon shift can involve preparing end-of-day summaries, ensuring that any urgent data requests from earlier shifts are addressed, and communicating findings to stakeholders to keep projects on track.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in fields like mathematics, computer science, or business, often supported by certifications such as the Google Data Analytics Certificate. Familiarity with technical tools like SQL, Excel, Tableau, and programming languages such as Python or R is typically required. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret data and present findings clearly to stakeholders. These competencies are essential for transforming raw data into actionable insights that drive business decisions.

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

AspectAfternoon Google Data Analytics CertificateData Analyst
Required CredentialsGoogle Data Analytics Certificate, basic Excel, SQL, Tableau skillsOften a degree in data-related fields, certifications vary
Work EnvironmentOnline, flexible learning, project-basedOffice or remote, data-focused tasks
Industry UsageEntry-level, beginner-friendly certificationProfessional role, requires experience
Search & Comparison IntentLearning pathway, certification detailsJob requirements, career progression

The Afternoon Google Data Analytics Certificate provides foundational skills suitable for entry-level roles and is ideal for those starting in data analytics. In contrast, a Data Analyst typically requires more experience or advanced education, focusing on interpreting data and generating insights in a professional setting.

What cities are hiring for Afternoon Google Data Analytics Certificate jobs?

Cities with the most Afternoon Google Data Analytics Certificate job openings:

What are the most commonly searched types of Google Data Analytics Certificate jobs?

The most popular types of Google Data Analytics Certificate jobs are:

What states have the most Afternoon Google Data Analytics Certificate jobs?

States with the most job openings for Afternoon Google Data Analytics Certificate jobs include:

Technical Program Manager III, Advanced Analytics, Google Data Center

Kirkland, WA • On-site


Google Inc.
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 246 rated software companies

Free food

Great coworkers

People enjoy working here


$163 - $237/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Technical Program Manager III, Advanced Analytics, Google Data Center

Google Seattle, WA, USA ; Kirkland, WA, USA ; +1 more

Apply

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.

Required 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.

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: $163,000 - $237,000 (USD) + 15% bonus target + 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.

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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