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Remote Data Extraction Jobs in New Brunswick, NJ

My Remote Jobz

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Extract, clean, transform, and model data from multiple sources. Automate data extraction and transformation processes to improve efficiency. Build and maintain Power Apps and Power Automate ...

My Remote Jobz

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

Extract, clean, transform, and model data from multiple sources. Automate data extraction and transformation processes to improve efficiency. Build and maintain Power Apps and Power Automate ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Strong SQL skills for data extraction and analysis * Experience building dashboards using Tableau ...

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain ... Data extraction/parsing - OCR, GenAI-based data extraction from unstructured documents (PDFs, PNGs ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Proven ability to design and manage ETL pipelines and database architectures * Advanced SQL skills ... Understanding of data modeling principles (Kimball, Data Vault, or similar) * Experience with cloud ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Proven ability to design and manage ETL pipelines and database architectures * Advanced SQL skills ... Understanding of data modeling principles (Kimball, Data Vault, or similar) * Experience with cloud ...

Talkspace

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

This involves managing ETL/ELT processes, optimizing database systems for performance and ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

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Remote Data Extraction information

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 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 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.

What job categories do people searching Remote Data Extraction jobs in New Brunswick, NJ look for?

The top searched job categories for Remote Data Extraction jobs in New Brunswick, NJ are:

What cities near New Brunswick, NJ are hiring for Remote Data Extraction jobs?

Cities near New Brunswick, NJ with the most Remote Data Extraction job openings:

Remote Data Extraction jobs near you

Data Analyst - Automotive

My Remote Jobz

New York, NY • Remote

$100K - $120K/yr

Full-time

Posted 7 days ago

Job description

Data Analyst - Automotive


Mission


Are you passionate about transforming complex data into meaningful insights? Do you enjoy building automated solutions, creating impactful dashboards, and solving real business challenges? If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer.


What You'll Do


In this role, you'll be at the heart of data-driven decision-making, working closely with engineering, management, and digital teams to unlock the value of operational data. You'll identify opportunities for improvement, automate data processes, and develop innovative solutions that help teams perform at their best.


Key Responsibilities


Design and develop engaging Tableau dashboards that turn data into actionable insights.

Extract, clean, transform, and model data from multiple sources.

Automate data extraction and transformation processes to improve efficiency.

Build and maintain Power Apps and Power Automate solutions to close business process gaps.

Collaborate with stakeholders across Manufacturing Engineering and Digital teams to understand business needs and deliver impactful solutions.

Drive continuous improvement through data-led decision making.

Profile


Strong experience creating dashboards and reporting solutions using Tableau.


Experience with Google Cloud Platform (GCP).


SQL expertise with proven data extraction and transformation experience.


Knowledge of data modelling and relational databases.

Experience automating data processes and workflows.

Power Apps and Power Automate development experience.

Excellent communication, stakeholder management, and problem-solving skills.


Bonus Points For


Python development skills.

Relevant Data Engineering, Data Analytics, or STEM qualifications.

Why Join Us?


This is an opportunity to make a visible impact in a business that values innovation, collaboration, and continuous improvement. You'll work with cutting-edge technologies, influence key business decisions, and help shape the future of data-driven manufacturing.