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Data Extraction Analyst Jobs (NOW HIRING)

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

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 ...

TOMORROW HIRE

Data Analyst 4

Richmond, VA · On-site

Data Extraction, Analysis & Reporting * Extract, structure, and analyze clinical and operational data from Electronic Health Record systems. * Translate clinical questions into meaningful data ...

4P Consulting Inc.

Data Analyst 2

Birmingham, AL

... 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 ...

The OSU/A&M System

Data Analyst AS6462

Stillwater, OK · On-site

$47K - $69K/yr

Develops and maintains data extraction programs, prepares analytical reports, and applies statistical and mathematical models to support institutional decision-making at Oklahoma State University.

Cyber Resource

Healthcare 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 ...

Decision Six Inc.

Business Data Analyst

Denver, CO · On-site

Analyze standards and procedures for, and design data extraction, transformation, and loading (ETL/ELT) processes for both batch and real-time data. * Database Management: Design Data Lakes and Data ...

New

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Data & Analytics Technologies SQL - Advanced querying, data extraction, analysis. Python - Data processing, analytics, scripting. Data Visualization Power BI - Dashboard creation, interactive reports.

Glow Networks

Data Analyst

Mountain View, CA · On-site

Data Analyst Location: Mountain View, CA (Onsite) Duration: 6 Months with possible extension ... Design and develop data preparation components and processes that extract and transform data across ...

Capital Staffing, Inc

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ON SITE- Temp Quality Data Analyst

Auburn, CA · On-site

$35 - $38/hr

This is done by providing data sources, data extraction, analysis, benchmarking, process improvement, and measurement of outcomes. DUTIES AND RESPONSIBILITIES: 1. Conduct ongoing data collection of ...

New

1 point system

Insurance Data Analyst

New York, NY · Remote

Advanced SQL skills, including data extraction, joins, aggregations, and reconciliation analysis. * Experience analyzing policy, premium, and claims data. * Strong Excel skills, including PivotTables ...

VAST Data

Sr. Data Analyst (Sales)

Manhattan, NY · On-site +1

$94K - $119K/yr

Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes * Strategic Analysis: Design, implement, and ...

Calibre CPA Group

Data Analyst

Bethesda, MD · On-site

$80K - $95K/yr

The Data Analyst supports engagement teams across the Firm with data manipulation, extraction, and reporting. This role also drives internal data analysis for firm operations and analyzes industry ...

New

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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 14, 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.

Data Analyst

WFN Team Indus US Test Client 2

Chicago, IL • On-site

Full-time

Re-posted 14 days ago

Job description

About the Role:

We are seeking a highly skilled Data Analyst to join our team in the Agriculture industry. As a Data Analyst, you will be responsible for analyzing complex data sets, creating visualizations, and providing insights to support business decisions. Your work will directly impact the success of our organization and contribute to the growth of the Agriculture industry. The ideal candidate will have a strong background in data analysis and a passion for using data to drive business outcomes.

Minimum Qualifications:

  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science
  • 2+ years of experience in data analysis
  • Proficiency in data cleaning, data extraction, and data visualization tools such as Pivot Tables, Power BI, and Tableau
  • Experience with programming languages such as R and SAS

Preferred Qualifications:

  • Master's degree in a quantitative field such as Mathematics, Statistics, or Computer Science
  • Experience in the Agriculture industry
  • Experience with machine learning and predictive modeling

Responsibilities:

  • Collect and analyze large, complex data sets to identify trends and patterns
  • Create visualizations and reports to communicate insights to stakeholders
  • Collaborate with cross-functional teams to identify opportunities for process improvement
  • Develop and maintain data models and databases
  • Stay up-to-date with industry trends and best practices in data analysis

Skills:

As a Data Analyst, you will use your expertise in data cleaning, data extraction, and data visualization to analyze complex data sets and provide insights to support business decisions. You will also use your programming skills in R and SAS to develop and maintain data models and databases. Your ability to collaborate with cross-functional teams and stay up-to-date with industry trends will be critical to your success in this role.