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Remote Data Extraction Jobs in Massachusetts (NOW HIRING)

BitSight

Principal Data Scientist

Boston, MA · On-site +1

... and remote We are hiring a visionary Principal Data Scientist in a critical senior technical ... Develop and maintain end-to-end ML pipelines, including data extraction, feature engineering ...

Tiger Analytics Inc.

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Assess ETL/ELT pipelines, BI/reporting assets, databases, enterprise applications, and cloud ...

Troutman Pepper

Senior Data Engineer

Boston, MA · Remote

$115K - $156K/yr

Design, develop, and maintain ETL processes and data structures following best practices. * Work ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$110K - $132K/yr

... ETL, data modeling, data architecture, and developing pipelines and applications for analytics (e.g., BI, reporting, machine learning, deep learning) * Solid programming skills in advanced SQL ...

The Phia Group

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

... ETL, data modeling, data architecture, and developing pipelines and applications for analytics (e.g., BI, reporting, machine learning, deep learning) * Solid programming skills in advanced SQL ...

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All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Massachusetts

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?

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.

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 Massachusetts? For Remote Data Extraction jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Data Extraction jobs in Massachusetts look for? The top searched job categories for Remote Data Extraction jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Data Extraction jobs? Cities in Massachusetts with the most Remote Data Extraction job openings:
Remote Data Extraction jobs near you
Workday Data Consultant - AMS (Application Managed Services)

Workday Data Consultant - AMS (Application Managed Services)

Collaborative Solutions

Great Barrington, MA • Remote

Full-time

Posted 11 days ago

Job description

The Workday Data Consultant - AMS (Application Managed Services) is a Workday professional with experience supporting data, reporting, and operational processes within a managed services environment. As a member of the AMS team, you will provide ongoing support, maintenance, enhancement, and optimisation of Workday solutions, helping clients maximise the value of their Workday investment after go-live.

This role is suited to individuals who enjoy working across multiple client environments, solving data-related challenges, supporting business users, and driving continuous improvement initiatives. You will collaborate with functional and technical teams to ensure the accuracy, integrity, and effectiveness of data within Workday.

Responsibilities:

  • Serve as a Workday Data specialist, providing post-production support and guidance across multiple client engagements.
  • Support day-to-day AMS activities, including incidents, service requests, enhancements, and problem resolution.
  • Partner closely with clients to understand business requirements and provide effective data-focused solutions.
  • Analyse, troubleshoot, and resolve data-related issues impacting Workday processes and reporting.
  • Support data loads, data maintenance activities, and tenant management using Workday tools and best practices.
  • Develop and maintain data validation, reconciliation, and monitoring processes to ensure data integrity.
  • Work with clients to improve data quality, cleanse inaccurate records, and support ongoing governance initiatives.
  • Assist with data extraction, transformation, and loading activities to support business and operational requirements.
  • Create and maintain reports, dashboards, and data analysis tools to support client decision-making.
  • Conduct root cause analysis and recommend long-term solutions for recurring issues.
  • Identify continuous improvement opportunities and contribute to service enhancement initiatives.
  • Participate in trend analysis and proactively identify opportunities to optimise client processes and data quality.
  • Provide subject matter expertise on Workday data management best practices.
  • Contribute to internal assets, accelerators, tools, and knowledge-sharing initiatives.
  • Participate in on-call support and holiday coverage as required.

Skills & Requirements

  • Bachelor's degree or equivalent experience in Information Technology, MIS, Business, or a related field.
  • Experience supporting ERP, HCM, Financial Management, or SaaS applications in a production support or managed services environment.
  • Experience with Workday is essential
  • Workday certification is highly desirable.
  • Experience working with data conversion, data loading, data reconciliation, and data quality activities.
  • Strong experience with Microsoft Excel and working with large datasets.
  • Experience creating reports, analysing data, and supporting business users with reporting requirements.
  • Working knowledge of SQL, reporting tools, or data analysis tools is advantageous.
  • Strong analytical and problem solving skills with excellent attention to detail.
  • Ability to troubleshoot data issues and identify root causes effectively.
  • Strong communication and stakeholder management skills.
  • Able to manage multiple priorities in a fast-paced managed services environment.
  • Ability to work independently while collaborating effectively within global delivery teams.
  • Eligible for SC Clearance - you must have been a UK resident for the last five years and be legally entitled to work in the UK

#LI-Remote

Why choose Cognizant:

  • Entrepreneurial environment that welcomes your ideas
  • Opportunity to do great work
  • Outreach programs that support communities and tap into your volunteer spirit
  • Learning opportunities to help current needs and advancement
  • Global operations, with opportunities in North America, Europe and Asia Pacific
  • An abundance of Affinity groups to meet your needs

Cognizant Core Values:

  • Work as One: We think beyond roles, relying on each other's strengths to win as a team.
  • Raise the Bar: We always aim for excellence in how we work and what we deliver.
  • Dare to Innovate: We push boundaries and take chances to reimagine what's possible.
  • Do the Right Thing: We all lead with integrity and always make the ethical choice.
  • Own It: We own the outcomes for our company, colleagues, and community.

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