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Data Processing Analyst Jobs in Georgia (NOW HIRING)

TriOptus LLC

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Develop and maintain ETL processes and data transformations in a hybrid cloud environment. Work hands-on with Hadoop, Apache Spark, and other big data tools to support data processing and analysis.

HEALTHMPOWERS INC.

Program Data Analyst

Norcross, GA · Hybrid

$23K/yr

The Program Analyst will play a crucial role in maintaining the integrity of programmatic data and support data-driven decision-making processes with critical thinking and solution minded skills.

SOLTECH

Data Scientist

Duluth, GA · On-site

Process and analyze large-scale streaming IoT data. * Perform feature engineering, model experimentation, evaluation, and performance optimization for production environments. * Deploy machine ...

Mohawk Industries, Inc.

Sr. PMO Analyst - Data

Kennesaw, GA · On-site

$79K - $100K/yr

At Mohawk Industries, we're committed to more - more customer solutions, more process improvements ... The Sr PMO Data Analyst is a high performing contributor and serves as a trusted advisor to ...

ICF

Data Engineer (Public Trust Required)

Atlanta, GA · Hybrid

$110K - $132K/yr

Process and standardize large-scale healthcare datasets, including cancer registry, mortality, and population data * Develop and maintain production databases, analytic datasets, and reporting tables ...

Pwc

Data Validation Risk - Manager

Atlanta, GA · On-site

$99K - $232K/yr

Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance - At least one of the following: a Certification in databases (Databricks, MS SQL ...

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All JobsData Processing Analyst JobsData Processing Analyst Jobs in Georgia

Data Processing Analyst information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do data processing analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data processing 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.

Will AI replace a data analyst?

AI can automate routine data processing tasks, but data analysts play a crucial role in interpreting data, making strategic decisions, and providing insights that require human judgment. While AI tools enhance efficiency, the role of a data analyst remains essential for complex analysis, contextual understanding, and communication of findings.

What is the difference between Data Processing Analyst vs Data Analyst?

AspectData Processing AnalystData Analyst
Primary FocusProcessing, cleaning, and organizing raw data for analysisInterpreting data to generate insights and reports
Skills & CertificationsSQL, data management, basic analytics toolsStatistical analysis, data visualization, SQL, Excel
Work EnvironmentData warehouses, database systems, IT teamsBusiness units, analytics teams, reporting platforms
Industry UsageIT, finance, healthcare, logisticsMarketing, finance, consulting, research

The main difference is that Data Processing Analysts focus on preparing and managing raw data, ensuring its quality and structure, while Data Analysts interpret and analyze data to provide actionable insights. Both roles often collaborate but serve distinct functions within data workflows.

What are Data Processing Analysts?

Data Processing Analysts are professionals who manage, interpret, and analyze large sets of data to support business decision-making. They are responsible for ensuring data accuracy, cleansing raw data, and transforming it into a usable format. Typically, they work with databases, spreadsheets, and data analysis software to identify trends, generate reports, and optimize data workflows. Data Processing Analysts often collaborate with other departments to understand data needs and help solve organizational challenges.

Is 40 too late for data science?

A Data Processing Analyst role often requires strong analytical skills and familiarity with tools like SQL and Excel. Age is not a barrier; many professionals successfully transition into data science or related roles later in their careers by gaining relevant skills and certifications.

What are the key skills and qualifications needed to thrive as a Data Processing Analyst, and why are they important?

To thrive as a Data Processing Analyst, you need strong analytical abilities, attention to detail, and a solid background in mathematics or computer science, often supported by a relevant degree. Familiarity with data management tools, SQL databases, data visualization software, and potentially certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate is highly beneficial. Excellent problem-solving skills, effective communication, and adaptability make individuals stand out in this role. These skills and qualities are essential for ensuring accurate data analysis, efficient processing, and meaningful insights that support business decisions.

What is a data processing analyst?

A data processing analyst is a professional who collects, organizes, and analyzes data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and require strong analytical skills and attention to detail. The role may involve working with large datasets and ensuring data accuracy and integrity.

What are some common challenges faced by Data Processing Analysts, and how can they overcome them?

Data Processing Analysts often encounter challenges such as managing large volumes of complex data, maintaining data accuracy, and ensuring timely processing to meet project deadlines. To overcome these obstacles, they rely on strong analytical skills, attention to detail, and proficiency with data management tools and programming languages. Collaboration with cross-functional teams, like IT and business analysts, is also key to resolving data inconsistencies and optimizing workflows. Continuous learning and staying updated with the latest data processing technologies further help analysts adapt to evolving industry demands.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may have lower pay, while experienced analysts with skills in tools like SQL, Excel, and data visualization can command higher salaries. Overall, data analysis is considered a well-paying profession within the tech and business sectors.
What are popular job titles related to Data Processing Analyst jobs in Georgia? For Data Processing Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Processing Analyst jobs in Georgia look for? The top searched job categories for Data Processing Analyst jobs in Georgia are:
Data Processing Analyst jobs near you
Big Data Engineer

Big Data Engineer

TriOptus LLC

Alpharetta, GA • On-site

$54.50 - $72/hr

Contractor

Re-posted 15 days ago

Job description

Job Title: Big Data Engineer (Hybrid)
Location: Alpharetta, Georgia (Hybrid Role)
Employment Type: Contract-to-Hire (CTH)
MOR2JP00017198
Job Description:
We are seeking a highly skilled and experienced Data Engineer to join our team in Alpharetta, Georgia. This hybrid role offers an exciting opportunity for candidates with hands-on experience in Hadoop, Apache Spark, and other key technologies. As a Data Engineer, you will play a critical role in the migration process from Hadoop to Snowflake, contributing to the development and optimization of our data pipelines.
Responsibilities:
Lead and contribute to the migration of data pipelines and workloads from Hadoop to Snowflake (approximately 50% of the role).
Develop and maintain ETL processes and data transformations in a hybrid cloud environment.
Work hands-on with Hadoop, Apache Spark, and other big data tools to support data processing and analysis.
Create and maintain UNIX shell scripts and Python scripts for automation and data workflows.
Utilize SQL for querying, manipulating, and managing large datasets.
Participate in building and managing CI/CD pipelines for efficient data deployment and integration.
Collaborate with cross-functional teams to optimize data architecture and ensure smooth data flow within the organization.
Ensure high-quality production environments and handle production support as needed.
Requirements:
Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience: At least 7 years of professional experience as a Data Engineer or similar role.
Technical Expertise:
Extensive hands-on experience with Hadoop.
Strong proficiency in UNIX Shell scripting.
Solid experience with Python scripting for automation and data processing.
Proficiency in Apache Spark for distributed data processing.
Experience with CI/CD pipelines for continuous integration and delivery.
Strong knowledge of SQL for querying and managing large datasets.
Demonstrated production environment experience.
Desired Skills:
Familiarity with IDMC or any other ETL tools.
Prior finance industry experience is a plus.
Experience with Snowflake is highly preferred.
Interview Process:
First Round: 1-hour Zoom interview.
Second Round: Final interview

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