What are the responsibilities and job description for the Internet Researcher position at Govig & Associates?
About US:
Are you naturally curious, detail-oriented, and passionate about finding information others can’t? Do you thrive on research, organizing data, and uncovering insights that help connect the dots? If so, this role is for you. As an Internet Research Analyst at Govig & Associates, you will be at the forefront of building data intelligence for our executive recruiting teams. You’ll play a critical role in sourcing candidates, maintaining accurate databases, and uncovering insights that help us win. Govig is an equal opportunity employer – we celebrate our people and their individuality.
Important: This is an analytical research role focused on accuracy, data integrity, and uncovering hard-to-find information — not a creative marketing or content creation position.
Position Overview:
Are you naturally curious, detail-oriented, and passionate about finding information others can’t? Do you thrive on research, organizing data, and connecting dots to support a bigger picture? If so, this role is for you. As an Internet Researcher at Govig & Associates, you will be at the forefront of building data intelligence for our executive recruiting teams. You’ll play a critical role in sourcing candidates, maintaining accurate databases, and uncovering the insights that help us win.
Key Qualities:
- Curious investigator: You love digging into details, validating sources, and solving puzzles.
- Detail-driven and organized: Accuracy matters, and you maintain clean, reliable information.
- Efficiency-focused: You enjoy streamlining repeatable processes and leveraging tools for faster results.
- Tech- and AI-savvy: You are energized by using technology and AI to elevate your work.
- Information-literate: You know how to distinguish reliable sources from questionable ones and triangulate information across multiple places.
- Collaborative communicative: You can clearly explain your findings and support the recruiting team’s success.
- Comfortable with urgency: You can work with tight deadlines and high expectations without sacrificing accuracy.
Key Responsibilities:
Research Candidate Intelligence
- Conduct online research to identify candidates, companies, and market insights.
- Apply Boolean and X-ray search techniques to uncover hard-to-find talent.
- Build and maintain targeted company lists and territory databases.
- Monitor competitor hiring activity and market movement to support search strategy and market mapping. (Replaces “trend watching” language)
- Identify patterns and relationships across companies, roles, and candidate backgrounds to support recruiting strategy.
Data Quality Database Management
- Manage, update, and maintain accurate data in Govig’s CRM/ATS (Crelate) and other recruiting systems.
- Ensure high data integrity: clean formatting, standardized naming conventions, tagging, and record quality.
- Identify and resolve duplicate/outdated records to keep the database searchable and reliable.
- Support recruiters with sourcing projects and research intelligence.
Tools Process Improvement
- Use AI tools to enhance search strategies, streamline workflows, and improve efficiency.
- Build repeatable research workflows, templates, and documentation to improve speed and consistency.
- Collaborate across the team to ensure data supports current and future searches.
Qualifications:
- Bachelor’s degree or equivalent experience
- Strong research, analytical, and problem-solving skills
- Strong technology proficiency, including use of AI and internet research tools
- Basic Excel proficiency (organizing data, removing duplicates, managing simple spreadsheets)
- Experience with data entry, CRM, or database management (accuracy consistency are critical)
- Excellent written and verbal communication skills
- Natural curiosity and persistence in uncovering information
- Recruiting or sourcing experience is a plus, but not required
How success is measured:
- Speed accuracy of research output
- Ability to uncover candidates that are difficult to find through normal methods
- Recruiter feedback on quality and relevance of candidate lists
- Improved CRM/ATS data quality (clean records, better tagging, fewer duplicates)
- Ability to create workflows that improve consistency and efficiency over time