Sales Data Quality Analyst

📋 Description Design and refine deduplication logic for complex scenarios (e.g., parent-child, multi-segment). Use SQL and Python to automate deduplication and reporting processes. Integrate AI tools (Gemini, Google AI Studio, Perplexity, Glean) for predictive duplicate detection Build and maintain real-time dashboards for deduplication metrics and business impact. Collaborate with Engineering and Systems teams to enhance deduplication pipelines. Document best practices and lead training sessions for Sales and Operations. 🎯 Requirements Proactive problem-solving: Taking initiative to improve data quality. Collaboration: Working closely with stakeholders across teams. Accountability: Owning the accuracy and integrity of data. Continuous improvement: Seeking ways to optimize deduplication strategies. Customer-centric mindset: Understanding how data quality impacts sales performance. 🎁 Benefits