Data Integrity Analyst
CurrentData Quality Assessment: Evaluate data quality by identifying inconsistencies, errors, or discrepancies. Conduct regular audits and data validation checks to ensure data integrity.Data Validation and Cleansing: Develop and implement procedures for data validation and cleansing. Identify and rectify data issues through automated tools or manual processes.Data Integration: Ensure that data from various sources is correctly integrated and standardized. Work with different systems… Show more Data Quality Assessment: Evaluate data quality by identifying inconsistencies, errors, or discrepancies. Conduct regular audits and data validation checks to ensure data integrity.Data Validation and Cleansing: Develop and implement procedures for data validation and cleansing. Identify and rectify data issues through automated tools or manual processes.Data Integration: Ensure that data from various sources is correctly integrated and standardized. Work with different systems to ensure seamless data flow and compatibility.Error Resolution: Investigate and resolve data integrity issues reported by users or discovered during routine checks. Document and track issues, and work with relevant teams to implement corrective actions.Process Improvement: Analyze data processes and workflows to identify areas for improvement. Develop and recommend best practices for data management and integrity.Documentation and Reporting: Maintain detailed documentation of data integrity processes, issues, and resolutions. Create reports and dashboards to communicate data quality metrics and trends to stakeholders.Compliance and Security: Ensure data management practices comply with relevant regulations, standards, and organizational policies. Implement security measures to protect data integrity and confidentiality.Collaboration: Work closely with data engineers, data scientists, and IT teams to address data-related issues and improve data management practices. Provide support and training to staff on data integrity best practices.Monitoring and Analytics: Utilize tools and software to monitor data quality continuously. Perform data analytics to identify patterns, trends, and areas needing attention.User Support: Provide support to end-users regarding data-related issues. Assist with troubleshooting and provide guidance on data entry and management practices. Show less