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Data Extraction Jobs in Georgia (NOW HIRING)

Write and optimize SQL queries for data extraction, aggregation, validation, and reporting purposes. * Perform data profiling, data quality checks, and reconciliation activities to ensure reporting ...

New

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 ...

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 ...

Architect, Data Solutions

Atlanta, GA

$61.25 - $78.75/hr

Providing guidance and expertise on data storage, data extraction, and ELT (Extract, Load, Transform) processes. * Monitoring system performance and identifying potential issues. * Documenting all ...

Architect, Data Solutions

Atlanta, GA · On-site

$61.25 - $78.75/hr

Providing guidance and expertise on data storage, data extraction, and ELT (Extract, Load, Transform) processes. * Monitoring system performance and identifying potential issues. * Documenting all ...

Data Engineer I

Atlanta, GA · On-site

$110K - $132K/yr

Experience with at least one relevant ETL toolset (IICS, Python, SnowSQL, etc.). Exposure to DevOps best practice including CI/CD, process automation and optimization. * Data Architecture and ...

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

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 ...

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

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 ...

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 ...

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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.

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 are the most commonly searched types of Data Extraction jobs in Georgia? The most popular types of Data Extraction jobs in Georgia are:
Infographic showing various Data Extraction job openings in Georgia as of June 2026, with employment types broken down into 3% As Needed, 46% Full Time, 37% Part Time, and 14% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Data Analyst - Global Customer Service Operations

Data Analyst - Global Customer Service Operations

Kaleris

Alpharetta, GA

Full-time

Posted 22 days ago


Job description

Job Description:

Main Job Responsibilities

Data Analytics & Insight Creation

  • 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 analysescoveringutilization, revenue, bookings, time-to-value, and other core KPIs for PS and related business units.

  • Extract, aggregate, and integrate datafrom Professional Services Automation (PSA) tools (e.g.,Certinia/FinancialForce), Salesforce, NetSuite, and other platforms.

  • Develop exception and trend reportstoidentifyand alert management to anomalies, risks, and opportunities in project delivery and resourcing.

Process & Systems Enhancement

  • Partner with key stakeholdersto define, document, and continuously improve the analytics processes supporting PS operations.

  • Contribute to system/process integration initiatives, such asmaintainingor enhancing PSA-to-NetSuite data pipelines.

  • Serve as an internal subject matter experton analytics data sources, tools, and best practices within the PS organization.

Collaboration & Communication

  • Present findings and actionable insightsin 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.

Additional Responsibilities

  • 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 asappropriate.

  • Support the roll-out and training for new analytics/reporting tools or processes as needed.

Employment Prerequisites

  • Bachelor's degree in business analytics, information technology, data science, finance, ora relatedfield.

  • 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).

  • DemonstratedproficiencywithExceland 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.

  • Familiarity with Professional Services Automation tools (preferablyCertinia/FinancialForce) and Salesforce is strongly preferred.

  • Ability to work collaboratively in a multi-cultural, geographically distributed team environment.

Nice to Have

  • Experience in Resource management

  • Experience in process mapping, data governance, or business process improvement.

  • Exposure toautomation technologies (RPA, low-code platforms, etc.).

  • Familiarity with NetSuite or other financial/ERP platforms.

  • Experience supporting globally distributed service or operations teams.

This role is ideal for an early-career analytics professional looking to shape decision-making and impact in a dynamic, high-performance services operation, with significant exposure to process and systems transformation.

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.