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Data Extraction Analyst Jobs (NOW HIRING)

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused ... Run extraction pipelines, analyze results, and document findings clearly * Share your work through ...

Co-Op, Data Extraction Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that ... Run extraction pipelines, analyze results, and document findings clearly * Share your work through ...

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused ... Run extraction pipelines, analyze results, and document findings clearly * Share your work through ...

Job Id: 805128 Data Analyst- Clinical Operations Informatics Specialist Client: VA DOC Location ... Establish practice for clinical data extraction and reporting with some completed reports answering ...

... data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. • Proficiency in statistical analysis and hypothesis ...

Job Summary : LP Analyst is a leading independent private asset cloud-based analytics and ... Responsibilities : • Support the build-out and maintenance of ETL/ELT pipelines that collect ...

... ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. · Statistical Analysis: Proficiency in ...

Business (Data) Analyst

Denver, CO · On-site

$80 - $150/hr

SQL, SNOWFLAKE, DATABRICKS, AWS, REDSHIFT, DATA WAREHOUSE, ETL * Experience: 7 + years * Develop Data Solutions: Analyze, design, and build applications and data pipelines using AWS, Databricks ...

$55 - $60/hr

A typical day for a LiDAR Data analyst is project- and delivery-focused. The role involves ... Lead extraction-based tasks * Evaluate and implement new LiDAR technologies and software tools What ...

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Data Analyst - Automotive Mission Are you passionate about transforming complex data into ... Extract, clean, transform, and model data from multiple sources. Automate data extraction and ...

Data Extraction and Modeling: Write SQL queries to extract and transform customer success data, ensuring data integrity and accuracy for reporting and analysis purposes * Business Understanding:

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Data Analyst - Automotive Mission Are you passionate about transforming complex data into ... Extract, clean, transform, and model data from multiple sources. Automate data extraction and ...

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Data Extraction Analyst information

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How much do data extraction analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data extraction analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data extraction analyst?

A Data Extraction Analyst is a professional responsible for collecting, processing, and interpreting data from various sources, such as databases, documents, and websites. They use specialized tools and software to extract relevant data, ensuring its accuracy and integrity. Their work supports business decisions, reporting, and analytics by making data accessible and usable for organizations. Data Extraction Analysts often collaborate with IT, data science, and business teams to streamline data workflows and comply with data privacy regulations.

What are the most common challenges data extraction analysts face when working with unstructured data sources?

Data Extraction Analysts often encounter challenges when dealing with unstructured data, such as inconsistent formats, incomplete records, and noisy or irrelevant information. Extracting reliable data from sources like scanned documents, emails, or social media posts requires advanced tools and techniques, including optical character recognition (OCR) and natural language processing (NLP). Overcoming these challenges typically involves close collaboration with data engineers and subject matter experts, as well as continuous refinement of extraction processes to maintain data quality and accuracy.

What are the key skills and qualifications needed to thrive as a data extraction analyst, and why are they important?

To thrive as a Data Extraction Analyst, strong analytical skills, attention to detail, and proficiency in data management are essential, often supported by a degree in computer science, information systems, or a related field. Familiarity with ETL (Extract, Transform, Load) tools, SQL databases, and data visualization software is typically required, and certifications in data analytics or database management can be advantageous. Excellent problem-solving abilities, communication skills, and adaptability help analysts effectively interpret data requirements and collaborate with stakeholders. These skills ensure accurate data extraction, support informed decision-making, and maintain data integrity in complex organizational environments.

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

AspectData Extraction AnalystData Analyst
Primary FocusExtracting, cleaning, and preparing data from various sourcesAnalyzing data to identify trends and support decision-making
Skills & ToolsSQL, data scraping, ETL tools, data managementExcel, statistical analysis, visualization tools, SQL
Work EnvironmentData warehouses, databases, ETL pipelinesReporting platforms, dashboards, business intelligence tools
Common IndustriesIT, finance, marketing, e-commerceFinance, healthcare, marketing, consulting

While both roles involve working with data, Data Extraction Analysts focus on retrieving and preparing data for analysis, whereas Data Analysts interpret and analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

More about Data Extraction Analyst jobs

What cities are hiring for Data Extraction Analyst jobs?

Cities with the most Data Extraction Analyst job openings:

What states have the most Data Extraction Analyst jobs?

States with the most job openings for Data Extraction Analyst jobs include:

What job categories do people searching Data Extraction Analyst jobs look for?

The top searched job categories for Data Extraction Analyst jobs are:

Infographic showing various Data Extraction Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

ERP Lawson Data Extraction Consultant

SWITS DIGITAL Private Limited

Charlotte, NC • On-site, Remote

Full-time

Posted 25 days ago


Job description

Job Summary
We are seeking an experienced ERP Lawson Data Extraction Consultant to support data extraction, migration, and reporting initiatives from the Infor Lawson ERP system. The ideal candidate will have hands-on experience extracting data from Lawson modules, writing complex SQL queries, working with Lawson databases, and collaborating with business stakeholders to deliver accurate data for reporting, integrations, and system migrations.
Key Responsibilities
  • Extract, analyze, and validate data from the Infor Lawson ERP system.
  • Develop and execute SQL queries, scripts, and reports to retrieve business-critical data.
  • Work with Lawson modules such as Human Resources (HR), Payroll, Finance, Procurement, and Supply Chain.
  • Collaborate with business users to understand data extraction requirements.
  • Perform data validation, cleansing, and reconciliation to ensure data accuracy.
  • Support ERP upgrades, cloud migrations, and system integration projects.
  • Create documentation for extraction processes, mappings, and validation results.
  • Troubleshoot data discrepancies and resolve extraction issues.
  • Work closely with technical and functional teams throughout the project lifecycle.

Required Skills
  • 5+ years of experience with Infor Lawson ERP.
  • Strong experience in Lawson data extraction and reporting.
  • Expertise in SQL, PL/SQL, or T-SQL.
  • Experience with Lawson Landmark, LBI, or Infor Process Automation (IPA).
  • Strong knowledge of Lawson database structures and tables.
  • Experience with ETL and data migration projects.
  • Excellent analytical and problem-solving skills.
  • Strong communication and stakeholder management skills.

Preferred Skills
  • Experience with Infor CloudSuite.
  • Knowledge of ETL tools such as Informatica, SSIS, Talend, or DataStage.
  • Experience with BI tools like Power BI, Tableau, or Cognos.
  • Exposure to AWS, Azure, or GCP.
  • Experience supporting ERP implementation or upgrade projects.

Nice-to-Have
  • Infor Lawson certifications.
  • Experience in healthcare, manufacturing, retail, or public sector environments.
  • Agile/Scrum project experience.

Keywords: Infor Lawson, Lawson ERP, Lawson Data Extraction, Landmark, IPA, LBI, SQL, ETL, Data Migration, ERP Reporting, Finance, HR, Payroll, Procurement, Supply Chain, CloudSuite, Power BI, Tableau.