Remote Lead Development Analyst - QA-Driven Lead Gen

Apryse

Town of Florida (NY)

Remote

USD 85,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Health benefits
Dental & Vision
WFH allowance
Career growth
Learning and development
Flexible remote work
Diverse and inclusive environment
Work-life balance

Job summary

Apryse seeks a Lead Development Analyst to identify, validate, and enrich high-confidence license management opportunities. You will perform lead discovery, document analysis, and QA, ensuring only well-researched opportunities reach the sales team.

You will also enrich data with context and collaborate with cross-functional teams to improve targeting and revenue impact. The role requires strong analytical thinking, attention to detail, and judgment when working with incomplete data.

Qualifications

  • Strong analytical and problem-solving skills.
  • High attention to detail.
  • Ability to evaluate ambiguous information.
  • Experience with Excel and CRM systems.

Responsibilities

  • Lead Discovery & Identification.
  • Identify licensing opportunities using curated datasets and online repositories.
  • Apply structured approaches to uncover relevant leads.
  • Document analysis & forensics; examine PDFs for licensing indicators.
  • Input validated leads into Salesforce and attach supporting documentation.
  • Maintain data quality and CRM integrity.
  • Collaborate with Sales and Marketing to improve lead generation and research.

Skills

Strong analytical
Attention to detail
Evaluate ambiguous information
Excel
CRM systems

Tools

Salesforce

Job description

Apryse seeks a Lead Development Analyst to identify, validate, and enrich high-confidence license management opportunities. You will perform lead discovery, document analysis, and QA, ensuring only well-researched opportunities reach the sales team.

You will also enrich data with context and collaborate with cross-functional teams to improve targeting and revenue impact. The role requires strong analytical thinking, attention to detail, and judgment when working with incomplete data.

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