Data-Driven Lead Acquisition Specialist

3 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time
Lead Generation and Data Optimization Specialist

We are seeking an experienced Lead Generation and Data Optimization Specialist to join our team. As a key member of our sales and marketing operations, you will be responsible for developing and executing strategies to identify, acquire, and nurture high-quality leads.

Your primary focus will be on leveraging data-driven approaches to optimize our lead generation processes, ensuring that we have a steady flow of accurate, high-value prospect data. This involves working closely with CRM, data enrichment tools, and automation platforms to configure and maintain lead-generation workflows, implement scripts and integrations to automate repetitive tasks, and collaborate with cross-functional teams to ensure seamless data alignment and lead handoff.

The ideal candidate will possess strong analytical skills, attention to detail, and excellent communication abilities. They will be able to translate technical insights into actionable recommendations, evaluate new data providers and lead databases, and stay current on emerging tools, technologies, and best practices for data-driven lead generation.

  • Leverage web scraping, third-party databases, APIs, and integrations to identify potential leads and gather relevant firmographic and demographic information.
  • Evaluate new data providers, list providers, and lead databases to continually expand and refine our prospect lists.
  • Enrich and validate lead information (e.g., job titles, contact details, company size, industry) using tools like ZoomInfo, Clearbit, Apollo.io, or similar.
  • Configure and maintain lead-generation workflows in marketing automation platforms (e.g., Pardot) or specialized lead-gen tools.
  • Implement scripts, integrations, or plugins to automate repetitive tasks (e.g., data cleaning, segmentation, deduplication).
  • Collaborate with Python developers to set up data pipelines (e.g., via Zapier, Python scripts, APIs) that sync leads between various tools and systems.
  • Develop and enforce data hygiene best practices to ensure accuracy and consistency of lead data.
  • Monitor databases and CRMs (e.g., Salesforce) for duplicate or incomplete records, merging or updating data as necessary.
  • Regularly audit lead data sources, ensuring compliance with privacy regulations (GDPR, CCPA) and company policies.
  • Implement or refine lead scoring models to help the sales team prioritize high-value prospects.
  • Segment leads based on attributes like industry, company size, or region to enable targeted follow-up by sales or marketing.
  • Continuously evaluate lead quality and provide insights for ongoing optimization.
  • Track and report on key lead-generation metrics, such as cost per lead, lead velocity, data accuracy, and pipeline contribution.

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