• Identify and evaluate opportunities to improve data quality across the organization, proactively determining the most efficient strategies for data cleanup and optimization • Develop creative solutions to resolve complex data issues, applying analytical judgment to balance effort, impact, and business value • Direct Research projects to uncover opportunities and drive progress on cleanup • Prioritize Engineering efforts and track results over time to meet deadlines • Leverage expert-level proficiency in Python, SQL, and NoSQL to transform, cleanse, and extract data, delivering accurate and well-structured datasets for both technical and non-technical stakeholders • Translate complex data findings into clear, actionable insights for diverse audiences. • Maintain high standards for data governance, quality assurance, and documentation.