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Remote Data Extraction Jobs (NOW HIRING)

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This role is responsible for the analysis, extraction, transformation, validation, and migration of healthcare data from legacy applications into the client's Clinical Data Repository. 100% remote ...

SAP Data Migration Engineer

WV · On-site +1

$97K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position. Responsibilities: * Execute data extractions from SAP ECC using SAP Data Services (BODS). * Query and analyze source and staging data using SAP HANA SQL. * Build, maintain ...

Data Specialist - 26327

Dallas, TX · Remote

  • Medical

  • Dental

  • Vision

  • Life

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Extract data from clientprovided PDFs using AIdriven tools and other technical solutions ...

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Remote Data Extraction information

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What are the key skills and qualifications needed to thrive as a remote data extraction specialist?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

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What cities are hiring for Remote Data Extraction jobs?

Cities with the most Remote Data Extraction job openings:

What are the most commonly searched types of Data Extraction jobs?

The most popular types of Data Extraction jobs are:

What states have the most Remote Data Extraction jobs?

States with the most job openings for Remote Data Extraction jobs include:

Infographic showing various Remote Data Extraction job openings in the United States as of August 2026, with employment types broken down into 56% Full Time, 22% Part Time, and 22% Contract. Highlights an 100% Remote job distribution.

Data Analyst - Learning & Development

Right Skale, Inc.

Remote

Full-time

Re-posted 15 days ago


Job description

We're seeking a Data Analyst to automate reporting and build dashboards that provide actionable insights into learning engagement and outcomes.
Responsibilities:
  • Extract and analyze data from L&D platforms, including WorkRamp, LinkedIn Learning, CultureAmp, and Qualtrics.
  • Partner with Business Technology and Data teams to access and automate data from the data warehouse.
  • Build and maintain dashboards and reports in BI tools such as Amazon QuickSight or Looker.
  • Automate recurring reports and ensure self-serve analytics are available for leadership and key stakeholders.

Qualifications:
  • Hands-on experience in data analysis, dashboard development, and report automation.
  • Proficiency in BI tools (QuickSight, Looker, or similar).
  • Experience working with data warehouses and API-based data extraction.
  • Strong attention to detail and ability to translate data into meaningful insights.
    Job Type: Contract
    Duration: 12M
    Work Setting: US-based Remote (CST timing)