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Remote Data Extraction Jobs in Georgia (NOW HIRING)

Senior Data Engineer

Atlanta, GA · Remote

$101K - $138K/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 ...

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

Atlanta, GA, Remote Duration : 6 to 12 Months Contract to Hire The client is not willing to sponsor ... Be proficient in using SQL to extract/transform data from various systems and in performing ...

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

Familiarity with data engineering concepts: ETL/ELT, APIs, data pipelines, or similar * Curiosity ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

Familiarity with data engineering concepts: ETL/ELT, APIs, data pipelines, or similar * Curiosity ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Ideally this role will be hybrid based out of one of our locations; however, remote locations will ... Experience with data extraction and analysis tools such as SQL/Python. * 5+ years of experience ...

Sr. Financial Systems Analyst

Atlanta, GA · On-site +1

$82K - $112K/yr

Along with excellent benefits, McGuireWoods offers most employees a hybrid remote option allowing ... Provide custom data extractions for use by accounting staff for analysis. * Prepare documentation ...

... extract actionable insights, shape data foundations, and foster a datadriven culture. Your Work ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

$150K - $175K/yr

... * ETL or data pipeline experience (DataStage, ADF, Glue, Airflow, or similar) * Kubernetes certifications (CKA, CKAD, CKS) * Agile experience Benefits & Perks * Benefits of full-time remote work but ...

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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 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 cities in Georgia are hiring for Remote Data Extraction jobs? Cities in Georgia with the most Remote Data Extraction job openings:
(Senior) Corporate Data Analyst

(Senior) Corporate Data Analyst

Origami Risk LLC

Atlanta, GA • On-site, Remote

$67K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview

The (Senior) Corporate Data Analyst is responsible for working with stakeholders all areas of the business to support the creation of a new internal data warehouse. This person manages the process of pulling and analyzing key business data and presenting it to stakeholders in an easily digestible format.

Starting base pay for this role is between $67,800 and $101,700. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states). 

Responsibilities
  • Develops, manages, and optimizes BI solutions, including data models, dashboards, and reports.
  • Acts as owner of company wide data warehouse in regard to maintenance, availability of systems data, and coordination of data integration engineers when needed.
  • Works with stakeholders, including cross departments, to gather and document requirements for BI projects, enhancements, and reporting.
  • Utilizes data visualization, statistical analysis, and reporting skills to present data to stakeholders in a meaningful way.
  • Uses data analysis techniques to extract information and identify patterns or trends.
  • Builds reports and reconcile to system data, on both a regular cadence and ad-hoc requests.
  • Develops and maintains documentation of data sources, models, and processes.
  • Provides training and support to end-users on BI tools and reports.
  • Stays current with BI industry trends and best practices.
  • Applies basic development skills working with Python, SQL Queries, etc. to extract business insights around finance, business operations and more.
  • Analyzes data and uses problem-solving skills to present key insights and recommendations to various stakeholders.
  • Utilizes ticketing and project management software to set, meet, and communicate deadlines and progress on assigned projects.
Qualifications
  • Bachelor's Degree or equivalent experience in a Computer Science, Data Analysis or business-related field.
  • Corporate Data Analyst: 1+ years' experience working with and providing data analytics, reporting and dashboard building for company consumption.
  • Senior Corporate Data Analyst: 3+ years' experience working with and providing analytics and reporting to leadership including executive level.
  • Technical experience using data manipulation tools and development languages, including Python and SQL.
  • Superior communication skills.
  • Strong project ownership and attention to detail skills with the ability to be a self-starter.
  • Knowledge of and experience with data pipelines and ETL processes.
  • Prior experience working with data engineers and understanding of technical requirements.
  • Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics tools.
Benefits
  • Medical and Dental coverage available for employees, dependents, domestic partners, and spouses
  • Paid Time Off - Flexible options plus 10 paid company holidays where available**
  • All full-time positions are hybrid, with many eligible to be completely remote
  • Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic Life Insurance
  • Generous family leave options-including adoption and foster care placements
  • Pre-Tax Savings Accounts - Flexible Spending Account, Health Savings Account, Commuter Benefits, Dependent Care Savings Account
  • Retirement Savings - 401(k) with company match up to 4%
  • Employee Assistance Program (EAP) - Confidential & Free support offered to colleagues facing personal or work-related complications
  • Education Assistance Program - to help colleagues pursue industry/role-specific certifications
  • Wellness Benefits - reimbursement program to invest in healthy habits as well as support better colleague productivity and stress management
  • Additional coverages available - Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD&D coverage
**Flexible PTO not available in California or the UKWho We Are

Origami Risk delivers single-platform SaaS solutions that help organizations best navigate the complexities of risk, insurance, compliance, and safety management.

Founded by industry veterans who recognized the need for risk management technology that was more configurable, intuitive, and scalable, Origami continues to add to its innovative product offerings for managing both insurable and uninsurable risk; facilitating compliance; improving safety; and helping insurers, MGAs, TPAs, and brokers provide enhanced services that drive results.

A singular focus on client success underlies Origami's approach to developing, implementing, and supporting our award-winning software solutions. 

Origami Risk is proud to be an equal opportunity employer. We thrive and benefit from diversity and are committed to creating an inclusive and equitable environment for all employees. We do not discriminate against any individual based upon race, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, color, sex, national origin, age, marital status, military or veteran status, disability, or any other characteristic protected by applicable law.

Caution: Be alert to recruiting scams. We have received reports of individuals impersonating Origami Risk recruiters to deceive candidates into disclosing personal information. These impostors use fake Origami Risk domain names and email addresses. Please double-check that any email address from an Origami Risk recruiter ends with origamirisk.com or talent.icims.com. And to confirm the legitimacy of any recruiting communication, feel free to email transparencycheck@origamirisk.com.

Employment Type: FULL_TIME