Job Description

: Data Extraction Executive

About: Inductus' GCC (a unit of Inductus Limited) is a leader in Global Capability Centre Services and is dedicated to providing innovative and customized solutions for our global clientele. We are looking for a detail-oriented and proactive Data Extraction Executive to extract and manage data from LinkedIn Sales Navigator and maintain an accurate and updated database for business development purposes.

Key Responsibilities:

Extract relevant data from LinkedIn Sales Navigator based on specified criteria, such as country, revenue, industry, and job roles.

Identify and compile contact information (emails, phone numbers, and LinkedIn profiles) for decision-makers and key stakeholders.

Maintain a well-structured and up-to-date database of leads using tools like Excel, Google Sheets, or CRM software.

Verify the accuracy and validity of contact details through online research and validation tools.

Organize and categorize data to support targeted marketing and sales initiatives.

Collaborate with the sales and marketing teams to align data extraction with campaign requirements.

Generate periodic reports on data extraction progress and database quality.

Stay updated on LinkedIn's tools, policies, and features to ensure compliance and efficiency in data extraction.

Qualifications and Skills:

Educational Qualification: Graduate

Proven experience in data extraction, data entry, or a related role, preferably using LinkedIn Sales Navigator.

Strong proficiency in data management tools like Microsoft Excel, Google Sheets, and CRM software.

Excellent research skills with the ability to gather and verify information accurately.

Familiarity with lead generation processes and tools (e.g., Apollo.io, LinkedIn Sales Navigator or Lusha) for finding contact details.

High attention to detail and data organization skills to ensure data integrity.

Ability to handle large volumes of data and prioritize tasks effectively.

Job Type: Full-time

Pay: ?15,000.00 - ?25,000.00 per month

Experience:

• total work: 1 year (Preferred)

Work Location: In person

Expected Start Date: 26/11/2024