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Senior Data Analysis with 5+ years in B2B lead generation & market research
I am a detail-oriented Data Analyst / Research Analyst with hands-on experience in B2B lead generation, market research, data extraction, CDQA, and data validation, supporting sales and marketing teams across multiple industries. I specialize in end-to-end B2B research workflows, from understanding ICPs, buyer personas, and targeting criteria to sourcing, validating, and enriching decision-maker-level prospect data. My research process includes identifying ideal B2B prospects using platforms such as LinkedIn, LinkedIn Sales Navigator, Apollo.io, ZoomInfo, and Scrap.io, followed by cross-verification of company and contact-level details to ensure accuracy, relevance, and compliance. I have strong expertise in account-based research (ABM), prospect identification, contact discovery, and quality assurance, delivering high-quality, sales-ready B2B lead data for demand generation, outbound sales, and business development teams. In addition, I am experienced in prospect calling, email verification, data normalization, and maintaining clean, compliant B2B datasets aligned with CRM and marketing automation requirements. I thrive in fast-paced environments, combining analytical thinking, attention to detail, and cross-functional collaboration to support pipeline growth, revenue-focused outreach, and data-driven business decisions.
Cultural Fit Analysis
The candidate's experience is highly specialized in B2B lead generation and data extraction, which aligns well with roles focused on sales and marketing support. However, the lack of diverse project types or broader data analysis applications beyond lead generation might limit cultural fit for roles requiring a wider range of analytical challenges or different industry contexts. The absence of personal projects or community involvement also limits the assessment of broader interests and adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail and a proactive approach to data management and analysis. Their experience in cross-functional collaboration and meeting daily/weekly targets suggests good operational fit for roles requiring consistent output and teamwork. However, the psychometric test results are not available to fully assess work attitude, stress handling, and team collaboration.