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Senior Lead Intelligence Developer

Senior Lead Intelligence Developer

beBeeDataSciencePune, Maharashtra, India
1 day ago
Job description

Business Intelligence Analyst

Job Overview

We are seeking a highly skilled Business Intelligence Analyst to leverage advanced analytics and data science techniques to drive business growth. This role is integral to enhancing our sales pipeline by providing actionable insights and accurate datasets for business development and marketing teams.

Key Responsibilities :

  • Lead Identification & Enrichment : Research and build high-quality B2B lead databases using AI / ML-based tools, web scraping frameworks, and third-party APIs. Enrich and validate prospect data from multiple data sources like Crunchbase, ZoomInfo, and industry directories.
  • Data Analysis & Predictive Modeling : Apply machine learning techniques to score and prioritize leads based on historical performance. Conduct trend analysis to refine Ideal Customer Profiles (ICP) and suggest new target segments.
  • Automation & Tool Development : Build and maintain Python scripts or automated pipelines for large-scale data scraping and cleaning. Evaluate and integrate LLM-based tools for intelligent data extraction and enrichment.
  • Collaboration & Reporting : Partner with Sales and Marketing teams to align data research efforts with campaign goals. Deliver dashboards and insight reports to track lead quality, conversion trends, and market opportunities. Support A / B testing of targeting strategies and provide data-driven recommendations.
  • Compliance & Data Integrity : Ensure adherence to data privacy regulations and ethical AI usage. Maintain data hygiene and prevent duplication across CRM systems.

Required Qualifications :

  • Bachelor's / Master's degree in Data Science, Computer Science, Statistics, or related field.
  • 3–5 years of experience in B2B lead research, sales intelligence, or data analytics roles.
  • Proven expertise in Python / R for data scraping, cleaning, and analysis.
  • Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium.
  • Proficiency with data visualization platforms and CRM systems.
  • Knowledge of machine learning frameworks for predictive modeling.
  • Familiarity with Gen-AI / LLM tools for data enrichment and summarization.
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