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Data Extraction Jobs in Georgia (NOW HIRING)

Kyyba

Tableau Prep Senior developer

Atlanta, GA · On-site

Write and optimize complex SQL queries to extract data from relational databases, data warehouses, or cloud platforms (Snowflake, Redshift). 4. Dashboard Development: Design and develop interactive ...

Contact Government Services, LLC

Data Engineer

Atlanta, GA

$110K - $132K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

Apply Early

Contact Government Services, LLC

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

Keylent Inc

Lead Azure Engineer

Alpharetta, GA · On-site

$100K - $131K/yr

Understand ETL processes thoroughly and assist in identifying and resolving issues related to data extraction, transformation, and loading. * Collaborate with ETL developers and data engineers to ...

U.S. Bank

Financial Data Scientist

Atlanta, GA · On-site

... extract, collect, organize, analyze and interpret trends or patterns in complex data sets - Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data ...

Gamen Group

Solution Architect - Open Source

Atlanta, GA · On-site

$60.50 - $79.75/hr

As a Solution Architect you are responsible for refining and executing data extraction, data analysis, and data integration strategies. * You will lead and analyze the data requirements of customer ...

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Aflac Incorporated

Sr Data Consultant

Columbus, GA · On-site +1

$120K - $160K/yr

Guides data solution teams for data extraction, transformation, and loading of data from a variety of data sources, into a target data warehouse solution. * Builds analytics tools that utilize the ...

Amazon

Business Analyst III - AMZ27093.1

Atlanta, GA · On-site

$118K - $160K/yr

Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly ...

Sierra-Cedar

Data Migration Consultant

Alpharetta, GA · On-site

Experience with legacy ERP data extraction (Oracle, Peoplesoft, SAP) * Knowledge of Object Oriented concepts * Experience defining the object model of a complex business system by mapping its ...

Kanshe Infotech

Power BI Developer

Atlanta, GA

$45 - $50/hr

Create data models and write DAX calculations * Write and optimize SQL queries for data extraction and analysis * Integrate data from multiple sources and ensure data accuracy * Collaborate with ...

NLB Services

Senior Cloud Developer

Atlanta, GA · On-site

$54 - $74/hr

Proficiency with Python, Java, shell scripting (Bash and Poweshell) & SQL Experience working with streaming data and data extraction from different databases (Oracle, DB2, MySQL etc) Experienced with ...

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Data Extraction information

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
What are the most commonly searched types of Data Extraction jobs in Georgia? The most popular types of Data Extraction jobs in Georgia are:
What are popular job titles related to Data Extraction jobs in Georgia? For Data Extraction jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Georgia look for? The top searched job categories for Data Extraction jobs in Georgia are:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Georgia as of June 2026, with employment types broken down into 51% Full Time, and 49% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Analyst - Global Customer Service Operations

Data Analyst - Global Customer Service Operations

Kaleris

Alpharetta, GA • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
Kaleris is a company focused on enhancing operational efficiency through data analytics. The Data Analyst role involves developing dashboards and reports, conducting analyses, and collaborating with stakeholders to improve analytics processes.
Responsibilities:
• Develop, maintain, and enhance dashboards, reports, and analytical tools (using Excel, Power BI, Tableau, and other solutions) to provide real-time operational and financial views into Professional Services activities.
• Design and generate recurring and ad hoc analyses covering utilization, revenue, bookings, time-to-value, and other core KPIs for PS and related business units.
• Extract, aggregate, and integrate data from Professional Services Automation (PSA) tools (e.g., Certinia/FinancialForce), Salesforce, NetSuite, and other platforms.
• Develop exception and trend reports to identify and alert management to anomalies, risks, and opportunities in project delivery and resourcing.
• Partner with key stakeholders to define, document, and continuously improve the analytics processes supporting PS operations.
• Contribute to system/process integration initiatives, such as maintaining or enhancing PSA-to-NetSuite data pipelines.
• Serve as an internal subject matter expert on analytics data sources, tools, and best practices within the PS organization.
• Present findings and actionable insights in clear, concise written and verbal form to stakeholders at all organizational levels.
• Collaborate cross-functionally with Resource Managers, project leaders, regional heads, and Finance/IT to meet evolving data/reporting needs.
• Support ongoing data quality initiatives and act as an advocate for data-driven decision-making in the Services business.
• Prepare regular (weekly, monthly, quarterly) performance reports and presentations for management review.
• Lead or support process improvement projects aimed at increasing automation and efficiency within the analytics/reporting cycle.
• Stay current with industry analytics tools and methodologies; recommend enhancements to Kaleris’ analytics capabilities as appropriate.
• Support the roll-out and training for new analytics/reporting tools or processes as needed.
Qualifications:
Required:
• Bachelor’s degree in business analytics, information technology, data science, finance, or a related field.
• 1–2 years (including internships/co-op) of hands-on experience in data analytics, business intelligence, or a similar analytical role (ideally within professional services, SaaS, or consulting environments).
• Demonstrated proficiency with Excel and at least one major dashboard/reporting tool (e.g., Power BI, Tableau).
• Experience with data extraction, transformation, and integration across multiple systems (e.g., PSA tools, Salesforce, NetSuite).
• Ability to define, calculate, and explain business and operational KPIs.
• Clear and concise communication skills (written and verbal). Ability to present data in an actionable and audience-appropriate manner.
• Assertive problem-solving and analytical skills, with high attention to detail.
• Ability to work collaboratively in a multi-cultural, geographically distributed team environment.
Preferred:
• Familiarity with Professional Services Automation tools (preferably Certinia/FinancialForce) and Salesforce is strongly preferred.
• Experience in Resource management
• Experience in process mapping, data governance, or business process improvement.
• Exposure to automation technologies (RPA, low-code platforms, etc.).
• Familiarity with NetSuite or other financial/ERP platforms.
• Experience supporting globally distributed service or operations teams.
Company:
Kaleris is a logistics platform that provides cloud-based supply chain execution and visibility technology solutions. Founded in 2004, the company is headquartered in Alpharetta, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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