Data Enrichment & Lead Generation Specialist

About the Role

Are you a data detective who loves turning raw information into high-value business opportunities? HG Marketing is a B2B podcast marketing agency helping founders and consultants build authority. We are looking for a Data Enrichment Specialist to fuel our growth engine.

This isn’t just data entry. You will be the architect of our outreach pipeline, using web scraping, LinkedIn extraction, and AI-assisted workflows to build elite lead lists that drive our outbound campaigns.

What You’ll Do

• Technical Extraction: Extract structured data from LinkedIn and corporate directories using scraping tools and extensions.
• Lead Enrichment: Build and refine targeted lead lists, ensuring every record is enriched with job roles, company size, and validated contact info.
• Quality Control: Clean and validate datasets to remove duplicates and ensure 100% accuracy before hand-off to Sales.
• Pipeline Support: Partner with the Marketing team to refine "Ideal Customer Profiles" (ICPs) based on campaign performance.
• Automation: Use AI tools (ChatGPT, etc.) and scripts to automate repetitive tasks and scale our data gathering.

Requirements

• Experienced: 1–3 years in Data Enrichment, Lead Gen, or Technical Research (Agency experience is a plus!).
• Tech-Savvy: You are a pro at LinkedIn data extraction and have hands-on experience with web scraping tools.
• Detail-Oriented: You have a "zero-error" mindset when it comes to spreadsheets and CRM data.
• Efficient: You know how to use AI and automation to work smarter, not harder.
• B2B Minded: You understand the fundamentals of B2B lead qualification.

Why Join HG Marketing?

• Innovative Culture: Work with a forward-thinking team at the intersection of podcasting and B2B marketing.
• Growth Potential: Be a key player in a scalable agency environment where your data directly impacts our success.

Job Type: Full-time

Pay: Rs50,000.00 - Rs60,000.00 per month

Education:

• Bachelor's (Required)

Experience:

• 1-2: 1 year (Required)

Work Location: Remote