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Data Extraction Jobs (NOW HIRING)

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 ...

Samprasoft

ETL Developer

Jacksonville, FL · On-site

$47.25 - $61.75/hr

Knowledge of RPA tools such as UiPath to automate unstructured data extraction and improve operational efficiency. * Collaboratively work with Internal Audit, Enterprise Risk and Internal Control ...

VAST Data

Senior Product Data Analyst

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 ...

Hangar Worldwide

Data Engineer -Mauritius

Blair, OK

$101K - $122K/yr

Analyze documentation and propose data extraction solutions * Write code that uses APIs to download and upload data * Continuously improve the efficiency of existing automation to make it faster ...

Community Health Care Inc

Data Analyst

Bridgeton, NJ · On-site

$150K/yr

Serve as a subject matter expert for clinical data structures, data extraction, and database performance tuning * Design and support data integrations and interfaces between EHR systems, HIEs, and ...

Complete Care NJ

Data Analyst

Bridgeton, NJ · On-site

$50K - $70K/yr

Serve as a subject matter expert for clinical data structures, data extraction, and database performance tuning * Design and support data integrations and interfaces between EHR systems, HIEs, and ...

The Timberline Group

Data Analyst

Saint Louis, MO · On-site

Extract, transform, and load (ETL) data from multiple SQL tables into Power BI. * Design and build interactive dashboards and reports tailored to financial performance metrics and trends. * Optimize ...

Cummins

Data Architect

$65.25 - $84/hr

Data Extraction - Build scalable, automated ETL pipelines that deliver accurate, timely data. Choose the right tools and optimize transformations for performance and usability. * Programming - Write ...

Edmunds GovTech, Inc.

Data Analyst

Northfield, NJ

Description This position is responsible for interacting directly with our clients to discover, acquire, and extract data from their legacy software systems using a wide range of technologies such as ...

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

Extract, transform, and load (ETL) data from multiple SQL tables into Power BI. * Design and build interactive dashboards and reports tailored to financial performance metrics and trends. * Optimize ...

Community Health Care Inc

Data Analyst

Bridgeton, NJ

$150K/yr

Serve as a subject matter expert for clinical data structures, data extraction, and database performance tuning * Design and support data integrations and interfaces between EHR systems, HIEs, and ...

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 ...

AYR Global IT Solutions Inc

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Data Extraction tools. MS Office Products. Additional Information If anyone might be interest, please share your resume at smalik(at)ayrglobal(dot)com or you can directly contact me at 630-444-7490

JConnect Infotech

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems. Data Warehousing: Design and manage data ...

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Data Extraction information

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How much do data extraction jobs pay per hour?

As of Jul 5, 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 extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, 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 job?

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.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
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What are the most commonly searched types of Data Extraction jobs? The most popular types of Data Extraction jobs are:
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Data Extraction jobs near you
Infographic showing various Data Extraction job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $58,613 per year, or $28.2 per hour.
Sr. Data Analyst (Sales)

Sr. Data Analyst (Sales)

VAST Data

Manhattan, NY • On-site, Remote

$94K - $119K/yr

Full-time

Posted 16 days ago

Job description

Description
VAST Data is looking for a Sr. Data Analyst Sales to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Overview:
VAST is seeking a Sr. Data Analyst Sales to join our growing analytics team. The Sr. Data Analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will be fully aligned with Sales and Revenue Operations (RevOps) to develop analytical solutions that improve reporting systems, data quality, and processes. This role will drive consistency across the sales org, not just produce reports. The Sr. Data Analyst will manage multiple stakeholders and present to Sales leadership at all levels of the organization.
With a focus on Sales analytics, the ideal candidate has a strong understanding of Sales processes, organizational structures, best practices, and strategies. This role requires a deep understanding of SFDC data schema (Accounts, Leads, Opportunities). The Sr. Data Analyst will build and maintain metrics used across a global sales organization to improve performance. Knowledge of sales and RevOps definitions (pipeline, commit, stage criteria, quote to cash steps, lead to order, sales ops metrics, etc.) is expected. The role will be responsible for building data models behind operational metrics, using SQL. The role will create visually compelling dashboards in Tableau that deliver timely insights that enable course correction, change behaviors, and improve outcomes.
As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The analyst is expected to deliver in a fast-paced, dynamic environment while also ensuring accuracy and reliability of analytics. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders use to make change within their organizations.
Essential Duties and Responsibilities
  • Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
  • Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
  • Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
  • 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 maintain metrics, moving beyond basic reporting to establish predictive performance indicators
  • Data Visualization: Develop and maintain automated Tableau dashboards that provide real-time visibility into the health of Sales
  • Data Management: Ensure the accuracy of data through regular audits and process improvement efforts. Works to improve the integrity of our data
  • Stakeholder Management: Act as a primary liaison between the analytics team and business function. Ability to influence senior leaders and drive cross-functional alignment.

Requirements
  • Education: Masters degree in Business, Business Analytics, Computer Science, Data Science or a related field preferred
  • Experience: 5+ years as a data analyst with experience in sales analytics, commercial operations, FP&A, or business intelligence
  • Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation required
  • Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling required
  • Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
  • Domain Expertise: Knowledge of SFDC data, schemas, and processes required. Knowledge of sales and RevOps metrics and definitions is expected
  • Travel: Minimal travel required (approximately 10% or less annually)

Qualifications
  • A relentless drive and a customer-first mentality are essential.
  • The ability to deliver quickly on requests, shortening development cycles and iterations
  • An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
  • The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
  • Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
  • The ability to convey complex data insights clearly and effectively to both technical and non-technical stakeholders.
  • Ability to manage multiple projects and deadlines with prioritizing tasks.
  • Ability to thrive in a culture of transparency and direct feedback.

Apply