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Data Extraction Analyst Jobs (NOW HIRING)

$80K - $110K/yr

Example Consulting Engagement Assignments Your role is a critical one for all of Grandview's consulting engagements - understand, extract, analyze, cleanse, map, migrate and test data for client ...

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 ...

Data Analyst

Bloomfield, CT · On-site

$72K - $121K/yr

Data Analyst Full Time Professional Kamatics Corporation, Bloomfield, CT, US 2 days ago Requisition ... Perform data extraction, transformation, loading, and validation activities as part of reporting ...

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 ...

Data Analyst

Bloomfield, CT · On-site

$72K - $121K/yr

Kamatics is seeking a Data Analyst who is responsible for business intelligence reporting ... Perform data extraction, transformation, loading, and validation activities as part of reporting ...

$72K - $121K/yr

Data Analyst Full Time Professional Kamatics Corporation, Bloomfield, CT, US 2 days ago Requisition ... Perform data extraction, transformation, loading, and validation activities as part of reporting ...

Our data analytics advisory services enable our customers to transform data into insights by ... Data Extraction and Transformation: * Assist with ETL processes to extract, transform, and load ...

Data Analyst

Wilson, NC · Hybrid

$35 - $39.42/hr

Set up data models, relationships, and ETL (Extract, Transform, Load) pipelines. * Maintain Systems ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

Data Analyst

Wilson, NC · On-site

$35 - $39.42/hr

Set up data models, relationships, and ETL (Extract, Transform, Load) pipelines. * Maintain Systems ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

Showing results 21-40

Data Extraction Analyst information

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$34K

$82.6K

$136K

How much do data extraction analyst jobs pay per year?

As of Sep 15, 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 are popular job titles related to Data Extraction Analyst jobs?

For Data Extraction Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Extraction Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Cleared ETL Data Engineer (Multi-Level) (TS/SCI w/ poly) Chantilly, VA

Chantilly, VA • On-site

Veteran Jobs - 2023 Mar 01 - Veterans Resources
Technology, Communication and Media • 11 - 50 employees

$90K/yr

Full-time

Posted 16 days ago


Job description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is On-Site
Cleared ETL Data Engineer (Multi-Level)
  • TS/SCI with Polygraph
  • Chantilly, VA
  • Posted Salary Range USD $90,700.00 - USD $188,725.00 /Yr.

Noblis is seeking Data Engineers at multiple levels to join our team in support of national security missions.
As the ETL Developer, you analyze our clients' challenges and provide solutions by identifying and applying new tools and technologies to help design new data repositories. You will be responsible for maintaining and expanding the data pipeline that fuels critical national security missions and manipulating data and data flows for both existing and new systems. You will provide support in the areas of data extraction, transformation and load (ETL), data mapping, data extraction, analytical support, operational support, database support, and maintenance support of data and associated systems. Additionally, you will work alongside our team and cyber analysts performing data engineering to identify data sets.
The ideal candidate will have a deep background in Python-based data workflows and experience working in classified IC environments.
Job Responsibilities:
  • Developing, maintaining, and executing data extraction pipelines to transport data in and out of multiple environments.
  • ETL Development and Data Cleansing: Engineering Python-based ETL pipelines to ingest, clean, and optimize large datasets from various sources, refining data quality and processing efficiency.
  • Data Preparation: Applying Python and SQL for data cleaning, integration, and exploratory analysis to uncover valuable insights extracted from large volumes of data.
  • Data Visualization: Designing and deploying interactive dashboards and reporting in visualization tools (e.g., Tableau, Power BI)
  • Improving application performance by optimizing and executing SQL queries to support data handling.
  • Loading data into storage systems like databases or data warehouses.
  • Building and maintaining data infrastructure (e.g., NiFi, Pentaho, Hevo).
  • Maintaining and documenting ETL workflows and recording data movement/changes. 
  • Working in an Agile environment to rapidly iterate with our clients.Cross-functional collaboration: Partner closely with data scientists, data engineers, and application developers to translate complex business requirements into robust technical implementations.