The role involves monitoring and investigating data quality issues to ensure accurate and timely delivery to external clients. The individual will perform machine learning model retraining and analysis while implementing data enhancements using technical tools. Responsibilities include resolving complex data classification and branding issues to maintain high operational standards. The position requires active collaboration with team members and proactive communication regarding task status and potential risks. Additionally, the role contributes to operational process improvements and adheres to global best practices.

Candidates must possess a Bachelor’s or Master’s degree in business analytics, data science, statistics, or a related field, or have equivalent practical experience. A minimum of two to three years of professional experience in data operations, data quality, or business analysis is required. Proficiency in SQL and Regex is essential, along with a clear understanding of data pipelines and their impact on machine learning models. Furthermore, candidates must demonstrate strong written and spoken English at a C1 level.