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Data Analyst Remote Google Certificate Jobs (NOW HIRING)

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

Work with data from multiple sources (Amplitude, Google Ads, Meta Ads, payment systems, CRM, etc ... Global remote flexibility We may use artificial intelligence (AI) tools to support parts of the ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

My Remote Jobz

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Data Analyst - Automotive Mission Are you passionate about transforming complex data into ... Experience with Google Cloud Platform (GCP). SQL expertise with proven data extraction and ...

My Remote Jobz

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Data Analyst - Automotive Mission Are you passionate about transforming complex data into ... Experience with Google Cloud Platform (GCP). SQL expertise with proven data extraction and ...

The Rehancement Group

GSA Data Analyst 1

Fairfax, VA · Remote

$65K/yr

This position is telework/remote, full-time: 8 hours per day/ Monday-Friday (40hr/week). GSA Laptop ... Experience supporting DoDExperience with Tableau/ SQL/ PythonFamiliarity with Google Workspace as ...

Conservice

Sustainability Data Analyst

This position can be 100% remote or hybrid (Logan, UT, or Chicago), depending on applicant ... STAR building certification, and submitting facilities for state/municipal benchmarking is ...

New

Tech Tammina

Vehicle Data & Quality Analyst

Fully remote - can work remote anywhere, but the whole team runs on PST time zone Must have skills ... Working knowledge of SQL Working knowledge of Jira, Confluence, Slack, Microsoft and Google suites ...

Thunkable

Sr. Data Analyst

$88K - $111K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) • Document data architecture, key components, and data flows to ensure clarity • Collaborate across teams to query and analyze data from ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

Apex Informatics

Data Analyst

As a Data Analyst on the Sales Analytics team, you will provide crucial support in areas such as ... Excel, and Google Sheets. - Translate business requirements into scalable reporting logic ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

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Data Analyst Remote Google Certificate information

See salary details

$34K

$82.6K

$136K

How much do data analyst remote google certificate jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analyst remote google certificate in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What unique challenges might a data analyst working remotely with a Google certificate face, and how can they address them?

Remote Data Analysts with a Google Certificate often navigate challenges such as collaborating across time zones and maintaining clear communication with team members. Since much of the work involves interpreting data and presenting insights, it's essential to leverage collaboration tools like Google Workspace and Slack to stay connected. Another challenge is building trust and visibility within the team when working remotely; proactively sharing progress and participating in virtual meetings can help. Additionally, demonstrating strong analytical skills gained from the Google Certificate, along with continuous learning, can support career advancement and help overcome remote work barriers.

What are the key skills and qualifications needed to thrive as a data analyst with a Google certificate in a remote role?

To thrive as a Data Analyst with a Google Certificate in a remote role, you need strong analytical skills, proficiency in statistics, and a solid understanding of data management, typically supported by a relevant certification or degree. Familiarity with tools like SQL, Excel, Tableau, and Google Analytics is essential, along with experience using collaboration platforms such as Slack or Google Workspace for remote work. Effective communication, self-motivation, and problem-solving abilities help individuals excel in virtual team environments and translate complex data into actionable insights. These skills ensure accurate data-driven decision-making and seamless remote collaboration in modern, distributed workplaces.

Is a data analyst remote Google certificate worth it?

A remote Google Data Analytics Certificate can be valuable for entry-level data analyst roles, as it provides foundational skills in data cleaning, visualization, and tools like spreadsheets and SQL. Employers often recognize Google certificates as credible credentials, but practical experience and additional skills may also be necessary for higher-level positions.

What is the difference between Data Analyst Remote Google Certificate vs Data Scientist?

AspectData Analyst Remote Google CertificateData Scientist
CertificationsGoogle Data Analytics CertificateAdvanced degrees (Master's or PhD) often required
Work EnvironmentRemote, entry to mid-level rolesRemote or on-site, more research-focused
Industry UsageBusiness, marketing, financeTech, research, AI development
Skills FocusData cleaning, visualization, basic analysisMachine learning, statistical modeling, programming

The Data Analyst Remote Google Certificate prepares individuals for entry to mid-level data analysis roles with a focus on data cleaning, visualization, and basic analysis. In contrast, Data Scientists typically require advanced degrees and focus on complex modeling, machine learning, and research tasks. While both roles work remotely and in similar industries, their skill sets and responsibilities differ significantly.

What is a data analyst with a remote Google certificate?

A Data Analyst with a Remote Google Certificate is a professional who interprets data and provides insights to help organizations make informed decisions. The Google Data Analytics Certificate is an online program that teaches essential data analysis skills such as data cleaning, visualization, and using tools like spreadsheets, SQL, and Tableau. Earning this certificate remotely means completing all coursework online, often through platforms like Coursera, making it accessible from anywhere. This certification is widely recognized by employers and can help individuals start or advance their careers in data analytics.

Can I get a data analyst job with a Google certificate?

A Google Data Analytics Certificate can help you develop foundational skills in data analysis, including tools like Excel, SQL, and Tableau. While it can enhance your resume and demonstrate relevant knowledge, securing a data analyst role also depends on experience, problem-solving abilities, and other qualifications. Employers often value practical experience alongside certifications when hiring for data analyst positions.
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What cities are hiring for Data Analyst Remote Google Certificate jobs? Cities with the most Data Analyst Remote Google Certificate job openings:
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Data Analyst Remote Google Certificate jobs near you
Infographic showing various Data Analyst Remote Google Certificate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Sr. Data Analyst

Thunkable

San Francisco, CA • On-site, Remote

$90K - $130K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Overview
 

Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team. In this role, you'll turn product and business data into actionable insights that influence product strategy, growth, and customer experience. You'll partner closely with Product, Engineering, Design, Marketing, and Leadership to define success metrics, measure impact, identify opportunities, and support experimentation.

Beyond analysis, you'll help improve the quality and accessibility of our data by working with engineering on event tracking, integrating data from multiple systems, and ensuring our analytics foundation supports better decision-making across the business.

 
Key Responsibilities
 

  • Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data.

  • Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.

  • Define success metrics and evaluate the impact of new features, experiments, and product initiatives.

  • Develop dashboards, recurring reports, and self-service analytics to enable data-informed decision making.

  • Collaborate with engineers to design, implement, validate, and maintain product event tracking within React-based interfaces.

  • Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.

  • Document key metrics, tracking plans, and data definitions to improve organizational understanding.

  • Work with data from multiple sources (Amplitude, Google Ads, Meta Ads, payment systems, CRM, etc.) to create a unified view of the business.

Required Qualifications
 

  • BA/BS degree or above in a related field or equivalent experience required.

  • 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.

  • Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.

  • Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.

  • Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.

  • Experience in data queries and statistical programming tools (SQL, R, Python, etc.)

  • Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)

  • You have strong analytical and problem-solving skills, with a keen attention to detail.

  • You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.

  • You are a self-starter who thrives in a start-up environment and has a strong follow-through.

 
Preferred Qualifications
 

  • Experience with improving data pipelines, data storage and analytical frameworks.

  • Event tracking (eg. Javascript, Google tag manager)

Life at Thunkable
 

Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.

Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.

What You’ll Get:

  • Competitive compensation, equity, and unlimited PTO

  • Health, wellness, and training budget

  • The opportunity to directly influence the future of no-code and AI-driven app development

  • Global remote flexibility

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.