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Data Analytics Google Jobs in Georgia (NOW HIRING)

Oscar Health

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

... Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected ... analytics, reporting, and data management * Experience with ticketing system (such as Jira)

Oscar Health

Manager, Data Analytics

Atlanta, GA · On-site

$111K - $145K/yr

... Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected ... analytics, reporting, and data management * Experience with ticketing system (such as Jira)

Oscar Health

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

... Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected ... analytics, reporting, and data management * Experience with ticketing system (such as Jira)

ACI Infotech

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

Data Architect Location: Atlanta, GA Role: Full Time Mode: On-Site Accepting H1B Transfer cases ... Google Analytics, FireBase, RStudio Server, PyCharm * Programming Languages: * Must Have: SQL ...

Visionaire Partners

Data Analyst

Atlanta, GA · On-site

REQUIRED SKILLS: * 3-5 years of experience in data analytics, statistics, business intelligence and ... Experience with cloud platforms of Google, AWS, and Azure. * Bachelor s degree in related field or ...

Google

Data Center Security Manager

Lithia Springs, GA · On-site

$154K/yr

About the job As a Data Center Security Manager, you deliver full pieces of a project and make ... analysis. Information collected and processed as part of your Google Careers profile, and any job ...

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How much do data analytics google jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data analytics google in Georgia is $46.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $52.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics professional using Google tools, and why are they important?

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.

Does Google hire data analysts?

Yes, Google hires data analysts to work on data-driven projects, utilizing tools like SQL, Python, and data visualization software. These roles often require strong analytical skills, experience with large datasets, and relevant certifications or degrees in related fields.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and tools like Excel, SQL, and Python. Many professionals successfully transition into data analytics later in their careers by gaining relevant certifications and experience. Employers focus on skills and knowledge rather than age, making it possible to start a data analyst career at 40 or older.

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.

How much does Google pay a data analyst?

Google data analysts typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and level. Entry-level roles may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Compensation often includes benefits such as bonuses and stock options.

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.

Is Google Analytics a good career?

A career involving Google Analytics as a data analyst or digital marketing professional can be valuable, as it is a widely used tool for tracking website performance and user behavior. Success in this field often requires skills in data analysis, SQL, and visualization tools, along with certifications like Google Analytics IQ. It offers opportunities in various industries with a focus on data-driven decision making.

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.

What are popular job titles related to Data Analytics Google jobs in Georgia? For Data Analytics Google jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Analytics Google jobs in Georgia look for? The top searched job categories for Data Analytics Google jobs in Georgia are:
What cities in Georgia are hiring for Data Analytics Google jobs? Cities in Georgia with the most Data Analytics Google job openings:
Data Analytics Google jobs near you
Infographic showing various Data Analytics Google job openings in Georgia as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.
Customer Engineering Manager, Data Analytics, Google Cloud

Customer Engineering Manager, Data Analytics, Google Cloud

Google

Atlanta, GA • On-site

Full-time

Posted 9 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

51st of 245 rated software companies

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Addison, TX, USA; Miami, FL, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience in pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience.
  • Ability to travel up to 25% to customer sites.

Preferred qualifications:
  • Technical sales experience or professional consulting experience in the fields of cloud computing, data analytics, information lifecycle management, and Big Data.
  • People management experience leading technical sales or consulting teams for Cloud Computing or Data Analytics products and platforms.
  • Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion.
  • Thought leader in Data Analytics and adjacent practice areas, specialized in technical sales and strategies around holistic customer and industry solutions.

About the job
As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio.
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: $192000 - $267000 (USD) 42.86% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Lead a team of Data Analytics technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development.
  • Lead the broader region's Data Analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.
  • Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled.
  • Lead the team to work with Google Cloud Platform to demonstrate and prototype our Agentic Data Cloud and AI products or integrations in customer/partner environments.
  • Lead and own high impact customer C-level or ITDM relationships who make or influence Data and AI enterprise technology decisions.

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.
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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