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Cloud Data Analyst Jobs in Georgia (NOW HIRING)

Analyze large scale complex business data (time series data, structured/unstructured) from various ... cloud computing technologies like Microsoft Azure and distributed computing technologies like ...

This role blends hands-on analytics, report development, data quality improvement, and data ... Experience with Azure Data Lake, Azure Synapse, Microsoft Fabric, or similar cloud data platforms.

This role blends hands-on analytics, report development, data quality improvement, and data ... Experience with Azure Data Lake, Azure Synapse, Microsoft Fabric, or similar cloud data platforms.

This role blends hands-on analytics, report development, data quality improvement, and data ... Experience with Azure Data Lake, Azure Synapse, Microsoft Fabric, or similar cloud data platforms.

At Brio, the Associate, Data Analyst plays a key role in supporting our data ecosystem by ... You work frequently with cloud data warehouses like Snowflake, Amazon Redshift, and SQL Server, and ...

Senior Cloud Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

The Marketing Services Technology team is transforming its analytics and data platform from traditional on-premises Hadoop environments to a modern cloud-native architecture powered by AWS ...

Cloud Data Engineer (50576)

Atlanta, GA

$112K - $134K/yr

CDC's Center for Forecasting Outbreaks and Analytics (CFA) is tasked with collaborating with ... Familiarity with cloud security best practices and data governance * Ability to quickly learn ...

Senior Cloud Engineer

Atlanta, GA · On-site

$57.75 - $75/hr

The Marketing Services Technology team is transforming its analytics and data platform from traditional on-premises Hadoop environments to a modern cloud-native architecture powered by AWS ...

Data Analyst II Location: Forest Park, GA Contract- 15 Months Client- Southern Company Services ... Experience with cloud platforms (Azure, Databricks) is a plus. * Strong analytical problem-solving ...

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... Cloud platforms (AWS and/or Azure) * Strong analytical and problem-solving skills * Advanced ...

And more Overview The CDCE Data Analyst at Emory Healthcare provides strategic and operational ... Cloud platforms (AWS and/or Azure) * Strong analytical and problem-solving skills * Advanced ...

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... Cloud platforms (AWS and/or Azure) * Strong analytical and problem-solving skills * Advanced ...

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Cloud Data Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do cloud data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for cloud data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What is a cloud data analyst?

A Cloud Data Analyst is responsible for analyzing and managing data stored in cloud-based platforms. They use data visualization, querying, and analytics tools to interpret data and provide insights that drive business decisions. Their role often involves working with cloud services like AWS, Google Cloud, or Azure to optimize data storage, processing, and security. They collaborate with data engineers, business teams, and IT professionals to ensure data accuracy and accessibility. Strong skills in SQL, Python, and cloud-based data tools are essential for this role.

What does a cloud data analyst do?

A typical day for a Cloud Data Analyst involves extracting, cleaning, and analyzing large datasets stored on cloud platforms, collaborating closely with data engineers and business teams to translate business goals into data solutions. You might develop automated data pipelines, create insightful dashboards, or run ad hoc analyses to support strategic decision-making. Regular tasks also include troubleshooting data issues, optimizing cloud data processes, and presenting findings to stakeholders. The role is highly collaborative and may require adapting quickly to shifting project priorities, making it both dynamic and rewarding.

What are the key skills and qualifications needed to thrive as a cloud data analyst?

To thrive as a Cloud Data Analyst, you need strong analytical abilities, experience with data modeling, and a solid understanding of cloud computing concepts, often supported by a degree in computer science, data analytics, or a related field. Familiarity with tools such as SQL, Python, cloud services like AWS, Azure, or Google Cloud, and relevant certifications (e.g., AWS Certified Data Analytics) is commonly required. Excellent problem-solving, communication, and collaboration skills help you interpret data findings and work effectively with technical and non-technical stakeholders. These skills are important to ensure accurate data-driven insights, efficient data management in cloud environments, and impactful business decisions.

Are cloud data analyst jobs still in demand?

Cloud data analyst jobs remain in high demand due to the increasing adoption of cloud computing and data-driven decision making across industries. Professionals with skills in data analysis, cloud platforms like AWS or Azure, and tools such as SQL and Python are sought after, with job growth expected to continue as organizations prioritize scalable data solutions.

What are the most commonly searched types of Cloud Data Analyst jobs in Georgia?

The most popular types of Cloud Data Analyst jobs in Georgia are:

What cities in Georgia are hiring for Cloud Data Analyst jobs?

Cities in Georgia with the most Cloud Data Analyst job openings:

Infographic showing various Cloud Data Analyst 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 $69,780 per year, or $33.5 per hour.

Full-time

Re-posted 27 days ago


Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.