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Data Extraction Jobs (NOW HIRING)

4P Consulting Inc.

Data Analyst 2

Birmingham, AL · On-site

The role involves utilizing various data analysis tools and techniques to extract insights, perform statistical analysis, and apply machine learning for predictive modeling. Responsibilities : • 3 ...

Mindlance

Data Analytics Analyst 1

Birmingham, AL · On-site

... 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 ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for ...

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 ...

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How much do data extraction jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data extraction in the United States is $28.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.25 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extraction?

To become a data extraction specialist, develop skills in data analysis, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects in this field.

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

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

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Data Extraction jobs near you
Infographic showing various Data Extraction job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

Data Analyst 2

4P Consulting Inc.

Birmingham, AL • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
4P Consulting Inc. is seeking a Data Analyst 2 to join their team. The role involves utilizing various data analysis tools and techniques to extract insights, perform statistical analysis, and apply machine learning for predictive modeling.
Responsibilities:
• 3-5 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively.
• Data Integration and 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 statistical analysis and hypothesis testing to draw meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling.
Qualifications:
Required:
• 3-5 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively.
• Skilled in 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 testing to draw meaningful conclusions from data.
• Ability to apply machine learning techniques for predictive modeling.
Company:
4P Consulting is a highly specialized Staffing and Recruiting company with significant experience and expertise in the Engineering industry, IT, Admin, Accounting, Advertising . Founded in 2012, the company is headquartered in Kennesaw, Georgia, US, , with a team of 11-50 employees. The company is currently Early Stage.

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