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Data Analytics Google Jobs in Georgia (NOW HIRING)

Google Data Specialist

Atlanta, GA · On-site

$70K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

SEO Manager

Alpharetta, GA · On-site

$108K - $162K/yr

  • PTO

Strong abilities in using Google Analytics, Google Search Console, and Google Data Studio to review data analytics and generate reports with insights. Familiarity with generative engine optimization ...

SEO Manager

Alpharetta, GA · On-site

$108K - $162K/yr

  • PTO

... and Google Data Studio to review data analytics and generate reports with insights. • Familiarity with generative engine optimization (GEO) and how large language models select and cite sources ...

Google Senior Data Engineer

Atlanta, GA · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

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 ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Advanced Analytics/Data Scientists tools: * Must Have ... Google Analytics, FireBase, RStudio Server, PyCharm * Programming Languages: * Must Have: SQL ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/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 ...

Showing results 21-40

Data Analytics Google information

See Georgia salary details

$20

$46

$79

How much do data analytics google jobs pay per hour?

As of Aug 19, 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 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.

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 cities in Georgia are hiring for Data Analytics Google jobs?

Cities in Georgia with the most Data Analytics Google job openings:

Infographic showing various Data Analytics Google job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,153 per year, or $46.2 per hour.

Google Data Specialist

Accenture

Atlanta, GA • On-site

$70K - $196K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

We Are

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud's Data & AI platform-including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.

You Are

A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions.

You're comfortable working directly with clients, supporting senior architects, and contributing to end-to-end project execution.

The Work (What You Will Do)

As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members.

1. Hands-On Technical Delivery

  • Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage

  • Assist with data modeling, performance tuning, and query optimization in BigQuery.

  • Implement data ingestion patterns for batch and streaming data sources.

  • Support development of dashboards and analytics products using Looker or Looker Studio.

2. Support Agentic AI & ML Solution Development

  • Assist in developing ML models and AI solutions using:
    Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings

  • Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).

  • Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.

  • Contribute to model testing, validation, and documentation.

3. Requirements Gathering & Client Collaboration

  • Participate in client workshops to understand data needs, use cases, and technical requirements.

  • Help translate functional requirements into technical tasks and implementation plans.

  • Communicate progress, blockers, and insights to project leads and client stakeholders.

4. Data Governance, Quality & Security Support

  • Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM).

  • Follow best practices for security, identity management, and compliance.

  • Support operational processes for data validation, testing, and monitoring.

5. Continuous Learning & Team Support

  • Learn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks.

  • Collaborate closely with senior data engineers, ML engineers, and architects.

  • Contribute to internal accelerators, documentation, and reusable components.

  • Stay current with GCP releases, Gemini model updates, and modern engineering practices.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

  • Minimum of 2 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.

  • Minimum of 2 years of practical experience with Google Cloud Platform.

  • Minimum of 2 years of experience with SQL, data modeling, and building data pipelines.

  • Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred).

  • Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience

Bonus points if you have

  • Familiarity with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Looker.

  • Exposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns.

  • Hands-on experience with CI/CD, Git, or cloud-native engineering practices.

  • Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer).

  • Experience working in agile delivery environments.


Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 07/31/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture


Role Location Annual Salary Range
California $70,350 to $196,000
Cleveland $59,100 to $156,800
Colorado $63,800 to $169,300
District of Columbia $68,000 to $180,300
Illinois $59,100 to $169,300
Maine $54,400 to $144,300
Maryland $63,800 to $169,300
Massachusetts $63,800 to $180,300
Minnesota $63,800 to $169,300
New York $66,300 to $196,000
New Jersey $68,000 to $196,000
Virginia $59,100 to $180,300
Washington $80,200 to $180,300

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About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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