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Remote Data Extraction Jobs in Massachusetts (NOW HIRING)

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job Summary: We're looking for a ... You'll design robust ETL/ELT, enable feature engineering for ML/LLM use cases , and drive best ...

This position is remote - but you must live within 100 miles of Lexington, MA At Aquila Technology ... Data/Reporting * Experience with data ETL, or MS Graph API * Experience with Generative AI, MCP ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Extensive experience with data warehousing, ETL processes, and data modeling. * Experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Extensive experience with data warehousing, ETL processes, and data modeling. * Experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Sr. Program Manager

Boston, MA · On-site +1

$135K - $155K/yr

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... Ensure compliance with operating procedures and standards for data extraction processes ...

Experience with large-scale ETL Preferred Qualifications * Ph.D. in Computer, Science, Data Science ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Experience with large-scale ETL Preferred Qualifications * Ph.D. in Computer, Science, Data Science ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Showing results 21-40

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 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:

Quantitative Research Analyst, Education & Employment (Remote Eligible)

Mathematica

Cambridge, MA • Remote

Other

Re-posted 25 days ago


Job description

We are seeking a ResearchAnalyst to join our Education and Employment team. Research analysts contributeto quantitative and qualitative research and analysis that examines theeffectiveness and implementation of policies and programs. Analysts help assessthe strength of study designs, summarize existing research through literaturereviews, evidence reviews, systematic reviews, and meta-analyses, support thedesign and implementation of evaluations, and help disseminate findings throughaccessible reports, briefs, presentations, websites, and other tools.

This is a general analystposting, and analysts may support a range of project activities. We areespecially interested in candidates with strong quantitative skills who canwork with survey, administrative, or program data; support data cleaning andanalytic specification development; conduct descriptive and impact analysesusing appropriate statistical methods and communicate quantitative findingsclearly to technical and non-technical audiences.

Analysts typically work on morethan one project at a time and are matched to projects that suit theirinterests and skills and offer opportunities for professional growth. Analystswork under the guidance of researchers, statisticians, data scientists, andproject leaders while building expertise in new methods and topic areas.

Our current and recent work includes projectssuch as:

  • Helping states, school districts, workforce agencies, and other organizations build capacity to use data and strengthen supports for students, educators, job seekers, workers, and families.
  • Working collaboratively with human services, education, and workforce agencies to test implementation strategies and gather information on their success, using approaches such as rapid cycle evaluation and continuous improvement.
  • Conducting systematic reviews, evidence reviews, and meta-analyses to determine what works and assess the effectiveness of interventions, programs, policies, and practices in education, employment, training, family support, and related policy areas.
  • Supporting rigorous evaluations of programs and policies through study design, study recruitment, data collection, data quality assessment, analysis planning, and dissemination of actionable findings.
  • Developing analytic products, technical assistance resources, dashboards, reports, and briefs that help clients and partners interpret evidence and use data for program improvement and policy decisions.

Responsibilities:

Quantitative analysis and programming

  • Assist with quantitative analyses, including summarizing data quality issues, cleaning and preparing survey or administrative data, defining analysis specifications, and developing output formats.
  • Write, review, or modify code to conduct data extraction, cleaning, manipulation, descriptive analyses, table production, and data visualization.
  • Apply or support statistical and quantitative methods appropriate to the project, such as descriptive statistics, regression, weighting, power calculations, performance measurement, longitudinal analysis, or quasi-experimental methods, under the guidance of senior staff.
  • Develop specifications, user manuals, reproducible documentation, and other materials for reporting systems, dashboards, analytic tools, and programming workflows.

Research and evaluation

  • Participate in interviews, site visits, focus groups, surveys, or other data collection activities to assess implementation, outcomes, costs, and participant experiences in education, employment, and related social programs.
  • Conduct literature reviews, environmental scans, evidence reviews, and systematic reviews; apply evidence standards to assess study quality and synthesize findings.
  • Support the design and implementation of evaluations, including helping to develop evaluation plans, logic models, research questions, study protocols, instruments, and data collection procedures.
  • Provide technical assistance to grantees, state and local agencies, school districts, workforce organizations, and other partners to support evaluation, evidence building, and program improvement.

Communication and project support

  • Draft client memos, issue briefs, literature review summaries, technical appendices, chapters of analytic reports, presentations, and proposals for new projects.
  • Communicate analytic findings, data limitations, and methodological decisions to internal project teams, clients, policymakers, practitioners, and other stakeholders.
  • Assist with timeline management, cost tracking, meeting preparation, note taking, budget estimates, quality assurance reviews, and coordination across project teams.