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Data Analytics Google Jobs (NOW HIRING)

The Data Analyst helps to clearly quantify client performance objectives by maintaining our ... We started with web tracking and attribution (Google Analytics, Google Tag Manager), then moved ...

Customer Engineer, Platform, Google Cloud

Cambridge, MA · On-site

$61 - $81.50/hr

Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI ... About the job The Google Cloud Platform team helps customers transform and build what's next for ...

Evaluate our current stack (Appfigures, Google Analytics, Firebase, BigQuery, Looker Studio) and lead migration or adoption of new tools if needed. * Act as the company's go-to data expert ...

Evaluate our current stack (Appfigures, Google Analytics, Firebase, BigQuery, Looker Studio) and lead migration or adoption of new tools if needed. * Act as the company's go-to data expert ...

Customer Engineer, Platform, Google Cloud

Seattle, WA · On-site

$63.50 - $84.75/hr

Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI ... About the job The Google Cloud Platform team helps customers transform and build what's next for ...

Accounting, Tax, Legal, Compliance, Law, Numbers, Big Data, Large Data Sets, Problem Solving Skills, MS Office, Excel, Spreadsheets, QuickBooks, Detail Oriented, Data Analytics, Google Analytics ...

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Data Analytics Google information

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$24

$54

$94

How much do data analytics google jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data analytics google 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 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.

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Cities with the most Data Analytics Google job openings:

What states have the most Data Analytics Google jobs?

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

What other helpful pages are available for Data Analytics Google?

Other pages related to Data Analytics Google:

Infographic showing various Data Analytics Google job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Google BigQuery Analytics Architect

Atlanta, GA • On-site

NAVA Software Solutions
IT Services • 51 - 200 employees

Full-time

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


Job description

NAVA Software solutions is looking for a Google BigQuery Analytics Architect
Position: Google BigQuery Analytics Architect
Location: Atlanta, GA ( Hybrid 2-3 days)
Duration: 12 months
Job description:
We are seeking a strategic and results-driven Analytics Architect to spearhead our data analytics initiatives and deliver actionable insights that drive business performance. This role requires deep expertise in Google BigQuery, GA4 (Google Analytics 4), and Looker dashboards, along with strong leadership and communication skills. The ideal candidate will manage a team of analysts, define data strategies, and ensure our analytics ecosystem is optimized for scalability and impact.
Key Responsibilities:
  1. Data Strategy Development:
    1. Define and implement the organization's data analytics strategy aligned with business goals.
    2. Identify and prioritize key analytics projects to optimize decision-making and performance.
  2. Team Leadership:
    1. Lead, mentor, and manage a team of analysts and data professionals.
    2. Foster a collaborative and innovative team environment.
  3. Data Analysis and Insights:
    1. Conduct advanced data analysis using BigQuery and other tools to uncover trends, opportunities, and potential risks.
    2. Provide actionable recommendations to stakeholders across departments.
  4. Tool and Technology Management:
    1. Oversee the selection, implementation, with a focus on GA4, BigQuery, and Looker
    2. Ensure data systems are scalable and optimized for business needs.
  5. Stakeholder Collaboration:
    1. Collaborate with cross-functional teams, including marketing, sales, operations, and product development, to address data needs.
    2. Present findings and insights in a clear and impactful manner to non-technical stakeholders.
  6. Data Governance:
    1. Establish and enforce data governance policies and practices.
    2. Ensure compliance with data security and privacy regulations.

Qualifications:
  1. Education:
    1. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  2. Experience:
    1. Proven experience (5+ years) in analytics, business intelligence, or a related domain.
    2. Prior experience in managing or leading teams is preferred.
  3. Technical Skills:
    1. Expertise in Google BigQuery, GA4, and Looker dashboards (mandatory).
    2. Strong knowledge of SQL, Python, R, or other data analysis/programming languages.
    3. Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure).
    4. Experience with Google Tag Manager and A/B testing tools (e.g., Optimizely).
  4. Soft Skills:
    1. Excellent problem-solving and critical-thinking skills.
    2. Strong communication and interpersonal skills to interact with stakeholders at all levels.
  5. Certifications (Preferred):
    1. Google Analytics 4 Certification, Looker Certification, or Google Cloud Data Analytics Certification.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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