Data Specialist (Remote)
Oxford, MS · Remote
$17/hr
Accurately enter files into the mTrade Data Extraction computer application * Analyze the data for errors * Trouble shoot and report any problems with the data * Meet daily quotas by completing ...
Data Specialist (Remote)
Oxford, MS · Remote
$17/hr
Accurately enter files into the mTrade Data Extraction computer application * Analyze the data for errors * Trouble shoot and report any problems with the data * Meet daily quotas by completing ...
Data Specialist (Remote)
Oxford, MS · On-site +1
$17/hr
Accurately enter files into the mTrade Data Extraction computer application * Analyze the data for errors * Trouble shoot and report any problems with the data * Meet daily quotas by completing ...
Data Specialist (Remote)
Oxford, MS · On-site +1
$17/hr
Accurately enter files into the mTrade Data Extraction computer application * Analyze the data for errors * Trouble shoot and report any problems with the data * Meet daily quotas by completing ...
Head of Product Led Growth Marketing
Jackson, MS · On-site +1
$282K - $339K/yr
Remote, United States Employment Type: FullTime Location Type: Remote Department Product ... With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near ...
Head of Product Led Growth Marketing
Jackson, MS · On-site +1
$282K - $339K/yr
Remote, United States Employment Type: FullTime Location Type: Remote Department Product ... With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near ...
Principal Software Engineer (Python)
Oxford, MS · On-site +1
$127K - $170K/yr
The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Partner with the Data Science team to architect intelligent routing logic that leverages Small ...
Principal Software Engineer (Python)
Oxford, MS · On-site +1
$127K - $170K/yr
The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Partner with the Data Science team to architect intelligent routing logic that leverages Small ...
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 jobs pay 4000 a week without a degree?
Remote data extraction roles can pay around $4,000 per week for experienced professionals, especially those skilled in data scraping, automation tools, and programming languages like Python or SQL. These positions often require strong technical skills, self-motivation, and the ability to work independently, with some roles offering high pay based on project complexity and volume.
How to make $1000 a week remotely?
Remote data extraction jobs can pay between $10 and $25 per hour, so earning $1000 weekly typically requires working 40 to 50 hours. Developing strong data handling skills, familiarity with tools like Excel or data scraping software, and maintaining consistent productivity can help achieve this income level. Building a reliable client base or working through reputable platforms can also increase earning potential.
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, 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.
How to become a data extractor?
To become a remote data extractor, you should develop skills in data collection, cleaning, and analysis, often using tools like Excel, SQL, or web scraping software. Relevant experience, attention to detail, and the ability to work independently are important, and some roles may require basic knowledge of programming languages such as Python or JavaScript.
What is the difference between Remote Data Extraction vs Remote Data Entry?
| Aspect | Remote Data Extraction | Remote Data Entry |
|---|---|---|
| Primary Focus | Extracting data from various sources like websites, PDFs, or images | Inputting data into databases or spreadsheets |
| Skills Required | Web scraping, data analysis, attention to detail | Typing speed, accuracy, basic computer skills |
| Tools Used | Web scraping software, OCR tools, data management platforms | Excel, Google Sheets, data entry software |
| Work Environment | Mostly independent, often project-based | Consistent, 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.
Is 40 too late for data science?
Age is not a strict barrier for a remote data extraction or data science role; many professionals transition into the field later in life. Success depends on skills, experience, and continuous learning of tools like Python, SQL, and machine learning concepts, regardless of age.
What are popular job titles related to Remote Data Extraction jobs in Mississippi? For Remote Data Extraction jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Remote Data Extraction jobs in Mississippi look for? The top searched job categories for Remote Data Extraction jobs in Mississippi are:
Job description
Starting Pay is $17.00 per hour.
Principal Accountabilities/Responsibilities:
- Organize files and collect data from mortgage loan files
- Accurately enter files into the mTrade Data Extraction computer application
- Analyze the data for errors
- Trouble shoot and report any problems with the data
- Meet daily quotas by completing processing on 10 loans per day and maintaining a 98% accuracy rating
- Successfully participate in and complete 2 weeks initial training
- Be part of a team reporting to a Team Lead
Note: An online skills assessment is part of the hiring process for this position.
About mTrade
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
51 - 200 Employees
Headquarters location
Oxford, MS, US
Year founded
2016