1

Temporary Data Extraction Jobs in Atlanta, GA (NOW HIRING)

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of ...

... Temp-to-Hire. In addition, our industry expertise and knowledge within financial services ... with data extraction (including ODBC), analysis, and presentation / OLAP tools, such as Business ...

Lead Data Engineer

North Metro, GA · Remote

$70 - $90/hr

Experience building and supporting enterprise ETL/ELT pipelines. * Strong understanding of data ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

DCS - Research/Data Analyst Senior

Atlanta, GA · On-site

$82K - $104K/yr

Temporary Assignment Work Type: Onsite JOB SUMMARY Under broad supervision, performs complex ... Extract primary data from Oracle Database with the use of SQL * Interpret data, analyze results ...

Extract primary data from Oracle Database with the use of SQL * Interpret data, analyze results ... Temp to Hire: No * This position is available for extensions. * Client DOES NOT SHIP EQUIPMENT. The ...

Developed business logic workflows in SQL Server using stored procedures, UDFs, views, temp tables ... Execute SQL Task and Data Flow Tasks were used extensively as part of ETL packages. Monitoring ...

... Extract, validate, transform, and analyze operational data for reporting, research, executive ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

next page

Showing results 1-20

Temporary Data Extraction information

What is the difference between Temporary Data Extraction vs Data Analyst?

AspectTemporary Data ExtractionData Analyst
Required CredentialsBasic technical skills, often no formal degree requiredBachelor's degree in data-related fields, certifications preferred
Work EnvironmentProject-based, short-term assignments, often remote or on-siteOngoing, full-time or part-time roles within organizations
Industry UsageCommon in data collection, research, and initial data processingUsed for interpreting data, creating reports, and strategic analysis

Temporary Data Extraction involves short-term tasks focused on collecting and extracting data, often requiring basic technical skills. Data Analysts typically hold formal education and perform ongoing analysis to support business decisions. While both roles work with data, their scope, credentials, and work environment differ significantly.

What are Temporary Data Extraction jobs?

Temporary Data Extraction jobs involve short-term assignments where individuals are responsible for collecting, retrieving, and organizing data from various sources, such as documents, databases, or websites. These roles are typically project-based and may require the use of specialized software or tools to extract data efficiently and accurately. Temporary data extraction positions are common in industries undergoing digital transformation, data migration, or large-scale information updates. Workers in these roles need strong attention to detail and may work independently or as part of a team. Since these jobs are temporary, assignments can range from a few days to several months, depending on the project's scope.

What are the typical challenges faced in a Temporary Data Extraction role, and how can they be managed?

Temporary Data Extraction professionals often encounter challenges such as inconsistencies in source data, tight deadlines, and adapting quickly to new tools or procedures. It's important to pay close attention to detail and communicate regularly with team members or supervisors to clarify requirements and resolve ambiguities. Familiarizing yourself with the data extraction software and maintaining organized records can help manage workload efficiently. Additionally, being proactive about asking questions when encountering unclear data can prevent errors and streamline the extraction process.

What are the key skills and qualifications needed to thrive as a Temporary Data Extraction Specialist, and why are they important?

To thrive as a Temporary Data Extraction Specialist, you need strong attention to detail, data entry accuracy, and familiarity with spreadsheets or databases, typically supported by a high school diploma or equivalent. Proficiency with tools such as Microsoft Excel, data extraction software, and sometimes OCR systems is usually required. Analytical thinking, time management, and reliability are crucial soft skills for managing repetitive tasks and meeting deadlines. These competencies ensure accurate data collection, minimize errors, and help maintain workflow efficiency during short-term projects.
What are the most commonly searched types of Data Extraction jobs in Atlanta, GA? The most popular types of Data Extraction jobs in Atlanta, GA are:
What are popular job titles related to Temporary Data Extraction jobs in Atlanta, GA? For Temporary Data Extraction jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Temporary Data Extraction jobs in Atlanta, GA look for? The top searched job categories for Temporary Data Extraction jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Temporary Data Extraction jobs? Cities near Atlanta, GA with the most Temporary Data Extraction job openings:
Infographic showing various Temporary Data Extraction job openings in Atlanta, GA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
NASA Quality Data Analyst (Customer Onsite)

NASA Quality Data Analyst (Customer Onsite)

Expeditors

Ellenwood, GA • On-site

Full-time

Medical, Life, PTO

Posted 5 days ago


Expeditors rating

8.1

Company rating: 8.1 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

44th of 358 rated logistics


Job description

Company Description
"We're not in the shipping business; we're in the information business" -Peter Rose, Expeditors Founder
Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.
  • 19,000 trained professionals
  • 350+ locations worldwide
  • Fortune 500
  • Globally unified systems

Job Description
As the newly implemented Quality Management System (QMS) reaches General Availability globally, we are seeking a highly autonomous Quality Data Analyst to act as the primary engine for system stabilization and data extraction globally. Early-stage systems are notoriously complex and initially unstable; we need a tenacious data specialist who can navigate sparse documentation, extract fragmented data, and build a predictive data pipeline from the ground up. You will be the sole bridge connecting real-time warehouse floor errors directly to our engineering risk documentation, specifically Process Failure Mode and Effects Analysis (PFMEA). By standardizing the data to tell a cohesive story, bypassing the latency of traditional RCCA loops, and defining strict thresholds for risk updates, you will turn operational noise into actionable process improvements and prevent administrative chaos.
Top Daily Responsibilities:
  • Investigative System Stabilization: Navigate the newly launched, GA-stage QMS tool to extract, condition, and manage quality data, working through initial system instability and backend API learning curves to create reliable data pipelines.
  • Data Standardization & KPI Alignment: Audit and unify core data streams, working directly with Insights teams to adjust backend tables. You will ensure the correct data is pulled, made visible to users, and aligned with business KPIs so the data tells a cohesive operational story.
  • PFMEA Creation & Implementation: Lead the initial development of Process Failure Mode and Effects Analysis (PFMEA) documentation, establishing the foundational risk matrices from scratch and teaching cross-functional teams how to utilize them as their operational "North Star."
  • Dynamic PFMEA Threshold Management: Once the foundational PFMEAs are built, define and govern strict rules for dynamic updates, ensuring that temporary spikes in shipping errors do not cause these tightly controlled risk matrices to constantly oscillate.
  • Proactive Predictive Analytics: Design early warning systems that feed primarily off raw Issue Management data rather than completed Root Cause and Corrective Action (RCCA) loops, bypassing the standard 5-to-30 day lag time for investigations to surface immediate trends.
  • Operational Feedback Loops: Translate complex quality data into clear mitigation plans. While you do not own the warehouse floor, you will collaborate with cross-functional Operations teams to drive accountability and execute process alignments based on your data findings.

Qualifications
Required Qualities & Behavioral Competencies:
  • Self-Sufficient Pioneer: You thrive in early-stage, ambiguous environments where documentation may be lacking. You can independently figure out how to navigate backend tables, extract data, and partner with Insights teams to fix routing issues.
  • Strategic Synthesizer: You understand that data is only valuable if it drives process improvement. You instinctively connect quality trends back to the "North Star" of the PFMEA, teaching others how data applies to process.
  • Resilient Problem Solver: You aren't discouraged by the rough, upfront effort required to launch a global system. You see cleaning unstructured data and building reliable dashboards as a satisfying puzzle rather than a chore.
  • Tactful Influencer: You possess the interpersonal skills to influence cross-functional operational teams, effectively pitching mitigation plans and driving execution in environments you do not directly manage.

Qualifications:
  • Experience: 3 to 5 years of experience in data analytics, quality assurance, or process engineering, ideally supporting a global supply chain or warehouse operations.
  • Quality Acumen: Deep understanding of Quality Management Systems (QMS), Root Cause and Corrective Action (RCCA) loops, and strict risk documentation methodologies. Six Sigma Black Belt or extensive PFMEA experience is highly preferred.
  • Data Proficiency: Proven ability to build operational dashboards, align disparate data streams, and apply predictive analytics to identify quality trends. Ability to synthesize large datasets to tell a cohesive, actionable story for leadership.
  • System Aptitude: Demonstrated experience navigating enterprise software launches (from UAT through General Availability), extracting data via backend tables, and collaborating with developer or insights teams to establish robust data flows.

Experience:
  • 3 to 5 years of experience in logistics data analysis, operations support, or quality assurance within a warehouse/supply chain environment.
  • Logistics Acumen: Solid understanding of supply chain flows, procurement dependencies, 3PL dynamics, and warehouse operations.
  • Data Proficiency: Strong experience with Google Sheets (including VLOOKUPs and Pivot Tables) and Microsoft Excel. Demonstrated ability to incorporate AI tools (e.g., Gemini) and automation workflows to streamline data synthesis, clean unstructured data, and reduce manual reporting efforts.
  • System Aptitude: Proven track record of learning and mastering complex, proprietary operational databases and ticketing/bug systems.

Additional Information
Expeditors offers excellent benefits:
  • Paid Vacation, Holiday, Sick Time
  • Health Plan: Medical
  • Life Insurance
  • Employee Stock Purchase Plan
  • Training and Personnel Development Program
  • Growth opportunities within the company
  • Employee Referral Program Bonus

What Expeditors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom