Assistant Manager

Data extraction from multiple sources, applying advanced cleansing and transformation techniques such as handling missing data, duplication removal and analyzing validation rules to ensure data accuracy, consistency, and readiness for analysis
Analyze and reconcile discrepancies in data by identifying root causes, implementing corrective measures, and maintaining detailed documentation of reconciliation processes Conduct in-depth data profiling to assess quality, identify anomalies, and uncover trends or patterns that contribute to informed decision-making Execute post-load validation processes to verify the completeness, accuracy, and compliance of data within the target environment, ensuring adherence to organizational and technical standards Ensure that all data processes comply with SAP standards and guidelines, emphasizing data governance, security, and quality assurance practices Design, document, and implement workflow optimization for efficient data processing, ensuring scalability and adaptability to meet evolving business needs Partner with cross-functional teams, including business stakeholders and IT departments, to deliver actionable insights, resolve data-related issues, and support strategic initiatives Continuously monitor and refine data processes to enhance performance, identify bottlenecks, and implement automation where applicable Maintain detailed technical documentation of all data extraction, transformation, and validation procedures, fostering transparency and knowledge sharing across teams