Role & Responsibilities: - Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources - Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns - Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling - Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems - Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams - Develop a deep understanding of the business domain and the underlying data that represents it - Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting - Apply s

Role & Responsibilities: - Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources - Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns - Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling - Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems - Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams - Develop a deep understanding of the business domain and the underlying data that represents it - Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting - Apply s