Data Scraper & Lead Generation Specialist

WizVend is looking for a detail-oriented Data Scraper / Data Modeler with expertise in web scraping, skip tracing, data enrichment, and B2B lead generation. The successful candidate will focus on identifying high-potential Amazon sellers and e-commerce brands, researching business ownership, and locating key decision-makers such as Founders, CEOs, and E-commerce Directors. Utilizing tools like SmartScout, Dun & Bradstreet (D&B), Apollo.io, and other data intelligence platforms, you will build accurate and well-structured lead databases to support sales and business development efforts. This role is critical to maintaining a strong sales pipeline by delivering fresh, validated lead batches every two weeks, uploading them into the CRM, and ensuring a seamless handoff to Appointment Setters for outbound outreach.

Key Responsibilities

- Targeted Web Scraping: Identify and extract high-potential Amazon storefronts, private-label brands, and e-commerce businesses that fit WizVend’s Ideal Customer Profile (ICP) using SmartScout, Keepa, Helium 10, and other scraping tools.
- Advanced Skip Tracing: Conduct in-depth research with Dun & Bradstreet, SmartScout, Apollo.io, ZoomInfo, Lusha, and similar platforms to uncover actual business owners and key decision-makers behind Amazon storefronts.
- Decision-Maker Contact Research: Locate and verify business contact information including professional emails, direct phone numbers, LinkedIn profiles, company websites, and Amazon Store URLs.
- Data Modeling & Enrichment: Clean, organize, standardize, and enrich raw scraped data by removing duplicates and outdated records. Segment leads by geographic market (US, UK, EU, Canada), estimated revenue, and business category.
- Bi-Weekly CRM Management: Maintain a structured 14-day workflow to prepare, validate, and upload fresh lead batches into CRM platforms such as HubSpot, Salesforce, or GoHighLevel.
- Sales Team Coordination: Assign qualified leads to Appointment Setters, providing accurate contact details and relevant business information to facilitate effective outreach and meeting bookings.
- Data Verification & Quality Control: Monitor email bounce rates, invalid contacts, duplicates, and overall lead accuracy to uphold a high-quality database.
- Process Improvement: Continuously refine scraping methods, skip tracing techniques, and data enrichment workflows to enhance efficiency, accuracy, and lead conversion potential.

Required Qualifications

- Proven experience in B2B lead generation, web scraping, data mining, and skip tracing, preferably within the Amazon or e-commerce sectors.
- Strong hands-on experience with SmartScout and Dun & Bradstreet (D&B). Familiarity with Apollo.io, ZoomInfo, Lusha, Octoparse, Phantombuster, Seamless.ai, or similar tools is highly preferred.
- Solid understanding of Amazon marketplace dynamics, including storefronts, private-label brands, seller research, revenue estimation, and business ownership identification.
- Experience managing, formatting, and importing large CSV/Excel datasets into CRM systems with accurate field mapping and duplicate prevention.
- Advanced skills in Microsoft Excel and Google Sheets, including VLOOKUP, INDEX/MATCH, RegEx, data validation, and deduplication techniques.
- Strong research and analytical abilities to investigate business ownership, cross-reference multiple data sources, and identify accurate decision-maker information.
- Exceptional attention to detail to maintain accurate, complete, and well-organized lead databases.
- Excellent time management and reliability, with the ability to work independently and consistently meet bi-weekly CRM upload deadlines.

This position offers the opportunity to play a vital role in driving WizVend’s sales growth by delivering high-quality leads and supporting the sales team with actionable data insights. Candidates with a passion for data accuracy and efficiency in lead generation are encouraged to apply.