1

Data Processing Analyst Jobs in Georgia (NOW HIRING)

Responsibilities include data wrangling, data analysis, and data exploration. Should be familiar with a variety of Machine Learning algorithms and big data processing frameworks. In addition to ...

GCP Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data ... processing and analysis.

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

The ideal candidate will design, develop, and ptimize scalable data pipelines and processing frameworks to support enterprise analytics and data-driven applications. Key Responsibilities * Design ...

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... Track and analyze key process metrics to ensure SLAs are met. * Identify process bottlenecks ...

$97K - $160K/yr

Perform specialized scientific and technical data processing techniques utilizing non-standard and ... Responsible for capturing analytical findings in textual, graphic, vector, or other formats as ...

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... Track and analyze key process metrics to ensure SLAs are met. * Identify process bottlenecks ...

Process Improvements & Performance * Support the Master Data Manager with: * Policy & Process ... Track and analyze key process metrics to ensure SLAs are met. * Identify process bottlenecks ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

... time analytics. You will work closely with cross-functional teams to transform high-volume IoT ... Optimize data processing for performance, cost, and reliability at scale * Create robust data ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... time analytics. You will work closely with cross-functional teams to transform high-volume IoT ... Optimize data processing for performance, cost, and reliability at scale * Create robust data ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

... time analytics. You will work closely with cross-functional teams to transform high-volume IoT ... Optimize data processing for performance, cost, and reliability at scale * Create robust data ...

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.

next page

Showing results 1-20

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 Jun 17, 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.

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 is the role of a data process analyst?

A data processing analyst is responsible for collecting, cleaning, and analyzing data to support business decision-making. They often use tools like Excel, SQL, or data visualization software and ensure data accuracy and integrity in their work environment.

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?

For a Data Processing Analyst or similar data-related roles, starting a career at 40 is feasible, especially with relevant skills in data analysis, programming, and tools like SQL or Python. Many professionals transition into data roles later in life, and experience can be an asset; continuous learning and certifications can enhance job prospects regardless of age.

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 AI replacing data analysts?

AI is automating certain data processing tasks, but data analysts remain essential for interpreting complex data, making strategic decisions, and providing context. The role of a data processing analyst involves skills in data management, analysis tools, and critical thinking that AI currently complements rather than replaces.
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:

$110K - $132K/yr

Full-time

Posted yesterday


Job description

Job Title: Data Engineer
Responsibilities:
• Data Pipeline Development: Design, build, and maintain scalable ETL pipelines to ensure efficient data flow from diverse sources into data warehouses.
• Workflow Automation: Utilize Apache Airflow for scheduling and managing complex data workflows.
• Collaboration: Partner with data scientists to implement machine learning models (MLOps) in production.
• Coding and Scripting: Write high-quality Python code for data extraction, transformation, and loading tasks.
• Big Data Processing: Use Databricks for processing large datasets and optimizing data workflows.
• Data Quality Management: Ensure data accuracy and integrity by implementing monitoring, logging, and ing mechanisms.
• Version Control: Use GitHub for code management and collaboration, maintaining clear documentation of data processes.
• Database Management: Work with Snowflake and BigQuery for data storage and analytics, ensuring optimal performance and scalability.
• Performance Optimization: Analyze and tune data storage solutions and SQL queries for efficiency.
• Cross-Functional Support: Collaborate with business units to identify and fulfill data needs effectively.
Basic Qualifications:
• 3+ years of experience in data engineering or a related field.
• Proficient in Python for data processing and scripting.
• Experience with Apache Airflow or similar workflow management tools.
• Familiarity with machine learning operations (MLOps) and model deployment.
• Solid understanding of cloud platforms (AWS, Azure, GCP).
• Strong SQL skills and experience with data modeling.
• Practical experience with Snowflake and BigQuery.
Preferred Skills:
• Knowledge of Databricks for data processing and analytics.
• Experience with data visualization tools like Tableau or Power BI.
• Familiarity with containerization technologies such as Docker.
• Understanding of DataOps principles and practices.