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Data Extraction Analyst Jobs (NOW HIRING)

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA

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 ...

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

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 ...

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

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 ...

Tekcel8

Data Analyst

Laurel, MD · On-site

Strong proficiency in SQL for data extraction, analysis, and reporting. * Experience with data visualization tools such as Power BI, Tableau, or Looker . * Strong knowledge of Microsoft Excel ...

Cyber Resource

Data Analyst

Richmond, VA

The role supports workflow improvement, clinical data analysis, and validation work that informs ... Establish practice for clinical data extraction and reporting with some completed reports answering ...

Endurance IT Services

Data Analyst 4

Richmond, VA · On-site

Extract and analyze clinical data from the EHR to support operational and clinical questions * Validate data against internal and external data sources * Develop reporting and visualizations to ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis. * Develop, optimize, and maintain SQL queries, views ...

Endurance IT Services

Data Analyst 4

Richmond, VA

$27 - $28/hr

Extract and analyze clinical data from the EHR to support operational and clinical questions * Validate data against internal and external data sources * Develop reporting and visualizations to ...

Endurance IT Services

Data Analyst 4

Richmond, VA

$27 - $28/hr

Extract and analyze clinical data from the EHR to support operational and clinical questions * Validate data against internal and external data sources * Develop reporting and visualizations to ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis. * Develop, optimize, and maintain SQL queries, views ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Extract, transform, and integrate data from multiple source systems to build reliable datasets for reporting, dashboards, and advanced analysis. * Develop, optimize, and maintain SQL queries, views ...

nLeague

DOC - Data Analyst 4

Richmond, VA · On-site

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 ...

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All JobsData Extraction Analyst Jobs

Data Extraction Analyst information

See salary details

$34K

$82.6K

$136K

How much do data extraction analyst jobs pay per year?

As of Jul 13, 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 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.

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 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.
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:
Data Extraction Analyst jobs near you
Infographic showing various Data Extraction Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Co-Op, Data Extraction

Lila Sciences

Cambridge, MA

Other

Posted 2 days ago

Job description

Your Impact at LILA

Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literature, patents, technical reports) into structured signals that power downstream Lila applications. As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction models, building pipelines for messy real-world data, and shipping work that flows into production systems.

What You'll Be Building

  • Contribute to AI systems that extract and structure knowledge from scientific literature and patents, focused on a well-defined sub-problem
  • Fine-tune and evaluate language, multimodal, or specialized models for data extraction, with mentor guidance
  • Build and test pipelines that structure unstructured scientific data across text, tables, and visuals
  • Run extraction pipelines, analyze results, and document findings clearly
  • Share your work through a team presentation, write-up, or contribution to a publication or open-source project

What You'll Need to Succeed

  • Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field
  • Solid foundation in machine learning fundamentals and Python
  • Familiarity with NLP or computer vision concepts
  • Curiosity about scientific data and willingness to learn quickly in a research setting

Bonus Points For

  • Coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction)
  • Experience working with messy, real-world datasets
  • Interest in scientific document parsing

Apply