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Data Research with Automation tools experience - (HR31021DA)

Remote:

Full Remote

Contract:

Full time

Work from:

Argentina, Wyoming (USA), United States

Offer summary

Qualifications:

Proficiency in Python and web scraping tools., Experience with automation platforms like Octoparse., Strong skills in data cleaning and structuring., Fluent in English..

Key responsabilities:

Develop and implement automation solutions.
Conduct in-depth web research and compile lists.

SAGAN Marketing & Advertising Small startup http://www.sagan.com.ar/

2 - 10 Employees

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Job description

Job Title: Data Research with Automation tools experience
Location: Remote (EST Time zone)
Salary Range: up to 3000 USD

Work Schedule: Monday - Friday, 9:00 AM to 5:00 PM (EST)

NOTE: INDEPENDENT CONTRACTOR POSITION

Company Overview:

Sagan is an exclusive membership community for top executives, founders, and CEOs seeking to hire and maximize the impact of international talent. We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions like Latin America, the Philippines, India, Pakistan, Bangladesh, and Africa with leading American companies. Discover a world of career possibilities with Sagan.

Position Overview:

The Data Research with Automation tools experience will be responsible for efficiently sourcing, extracting, and organizing complex datasets to support a variety of data-driven projects. This role requires advanced expertise in web scraping, data automation, and online research techniques to deliver highly accurate, actionable information tailored to specific criteria across multiple industries. The ideal candidate will possess a strong technical background in data extraction and automation, exceptional attention to detail, and strong analytical and problem-solving abilities.

Key Responsibilities:

Develop and implement automation solutions using tools such as Python, Selenium, Octoparse, and PhantomBuster to streamline data collection and extraction processes.
Conduct in-depth web research to identify and compile comprehensive lists of companies and professionals based on specific, detailed criteria.
Extract, clean, and validate large datasets to ensure accuracy, relevance, and completeness.
Organize and structure collected data into usable formats (e.g., spreadsheets, databases, LinkedIn projects).
Utilize Boolean search techniques and advanced online search strategies to refine large datasets into precise, actionable lists.
Solve complex data challenges, identifying creative solutions to source hard-to-find information.
Continuously research and implement new tools, techniques, or technologies to improve efficiency and accuracy in data collection.
Manage multiple projects simultaneously, delivering high-quality results within tight turnaround times (often 24-36 hours).

Qualifications:

Must-Haves:

Proficiency in Python and web scraping tools like Selenium, BeautifulSoup, or Scrapy.
Hands-on experience with automation platforms such as Octoparse or PhantomBuster.
Familiarity with API integration and automated data extraction techniques.
Strong skills in data cleaning, filtering, and structuring using Excel, Google Sheets, or databases.
Expertise in Boolean search techniques for LinkedIn and Google.
Exceptional attention to detail and ability to deliver precise, high-quality results under tight deadlines (24-36 hours).
Strong problem-solving skills for sourcing niche or hard-to-find data.
Self-motivated and capable of managing multiple projects independently.
Fluent in English (written and spoken) for clear communication.

Nice-to-Haves:

Experience with SQL databases and data visualization tools like Power BI or Tableau.
Prior experience conducting research across various industries such as legal, construction, fintech, or technology.
Knowledge of additional automation or scripting languages beyond Python.