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Job Description: Key Responsibilities Ensure the accuracy, consistency, and integrity of large-scale datasets Analyze data to identify anomalies, trends, and quality issues, and propose solutions Support the implementation and maintenance of data quality checks and validation processes Monitor and troubleshoot data pipelines to ensure reliable data flow and availability Collaborate with cross-functional teams (engineering, product, operations) to address data-related challenges Develop and maintain dashboards and reports to track data quality and key metrics Contribute to automation efforts that improve efficiency and reduce manual data handling Document data processes, definitions, and quality standards Qualifications: Required skills and knowledge Solid experience with SQL and at least basic-to-intermediate proficiency in Python 2 years of experience in data analysis, data quality, or related roles Familiarity with data warehousing concepts and ETL processes Strong analytical 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