Data Analysis and Mapping: Collaborate with internal stakeholders to analyze data sources, understand requirements, and develop data mapping strategies to ensure accurate conversion and integration.
Data Cleansing and Transformation: Perform data cleansing activities, including data validation, normalization, and data type conversions, to ensure consistency and integrity of the converted data.
Conversion Process Development: Design and develop efficient data conversion processes, scripts, and workflows using appropriate tools and technologies, ensuring adherence to industry best practices and data quality standards.
Quality Assurance: Conduct thorough quality checks on converted data to identify and rectify any errors, inconsistencies, or data integrity issues, ensuring data accuracy and reliability.
Documentation and Reporting: Maintain comprehensive documentation of data conversion processes, including specifications, transformation rules, and conversion methodologies. Generate reports and communicate progress updates to relevant stakeholders.
Collaboration and Support: Collaborate with cross-functional teams, including data analysts, developers, and project managers, to support data integration initiatives and ensure successful project delivery.