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Remote Data Extraction Jobs in Brooklyn, NY (NOW HIRING)

Bayforce

ADP Data Extraction Consultant

Manhattan, NY · Remote

United States - Remote About the Role We are seeking an ADP Data Extraction Consultant to support a large-scale Workday migration and historical data initiatives. This role will focus on extracting ...

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Remote Data Extraction information

What are the key skills and qualifications needed to thrive as a Remote Data Extraction Specialist, and why are they important?

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 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 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 near Brooklyn, NY are hiring for Remote Data Extraction jobs? Cities near Brooklyn, NY with the most Remote Data Extraction job openings:
Remote Data Extraction jobs near you
ADP Data Extraction Consultant

ADP Data Extraction Consultant

Bayforce

Manhattan, NY • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

ADP Data Extraction Consultant Employment Type: Contract Duration: 3–6 months (estimate) Location: United States – Remote About the Role We are seeking an ADP Data Extraction Consultant to support a large-scale Workday migration and historical data initiatives. This role will focus on extracting time, payroll, and other HCM data from ADP, preparing it for migration and analytics in Power BI. This is a hands‐on role ideal for someone with deep ADP expertise and experience in Workday migration projects.

Note: We work directly with candidates only—no third-party recruiters or vendors. Key Responsibilities Extract ADP data across all modules, including payroll, time, and HCM. Prepare historical data (up to 7 years) in a format suitable for loading into Power BI.

Support Workday migration by ensuring data accuracy, completeness, and consistency. Collaborate with internal teams to validate data and maintain data integrity throughout extraction and migration. Requirements Extensive experience with ADP data extraction, including payroll, time, and HCM modules.

Proven experience supporting Workday migrations through ADP data extraction. Experience preparing historical data for use in business intelligence tools, such as Power BI. Strong attention to detail and ability to manage complex datasets.

Why This Opportunity Work on a high‐impact HR and payroll transformation initiative. Contribute directly to data‐driven insights and enterprise reporting solutions. Collaborate with internal teams on a strategic Workday migration.

Hands‐on role with opportunity to showcase expertise in ADP and data management. Seniority level Mid‐Senior level Employment type Contract Job function Information Technology Industry IT Services and IT Consulting #J-18808-Ljbffr

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