Keyondra Reynolds

Date Quality Specialist

Urban Outfitters, Inc.

01.2020 - 01.2022

Reduced errors in datasets with thorough attention to detail, ensuring accurate information for decisionmaking.
Designed custom scripts for cleaning erroneous or duplicate records from databases, preserving only valuable information.
Trained colleagues on best practices in data quality management, fostering a culture of accuracy and diligence.
Conducted periodic audits of databases to identify areas requiring improvement, enhancing overall integrity of the system.
Leveraged data profiling and statistical analysis techniques to identify trends, patterns, and anomalies within datasets, guiding the development of targeted improvement strategies.
Streamlined data management tasks for improved efficiency in data analysis and reporting.
Automated routine data quality checks for increased productivity and reduced manual effort.
Improved database performance through regular maintenance activities such as indexing, partitioning, and optimization.
Enhanced data quality by implementing stringent validation processes and procedures.
Developed comprehensive documentation for data quality processes, enabling easy replication of methods and practices.
Championed adherence to standardized naming conventions and metadata definitions within the organization to minimize confusion or misinterpretation of dataset contents.
Implemented robust access controls to protect sensitive information from unauthorized alteration or deletion, safeguarding company assets from potential risks associated with compromised data integrity.
Coordinated with external vendors to ensure seamless integration of third-party datasets into internal systems while maintaining high standards of cleanliness and accuracy.
Facilitated communication between departments to ensure timely resolution of identified data issues.
Collaborated with cross-functional teams to identify and resolve data discrepancies, maintaining consistency across the organization.
Contributed to the creation of a centralized data repository by consolidating information from disparate sources, promoting a unified view of organizational performance.
Assisted IT team with troubleshooting technical issues affecting data storage or retrieval systems when necessary.
Evaluated new tools and technologies for potential integration into existing workflows, staying ahead in industry advancements related to data quality management.
Simplified complex datasets using effective visualization techniques that facilitated better understanding among stakeholders.
Developed and executed data cleanup measures.
Evaluated large datasets for quality and accuracy.
Collaborated with business analysts and software development team to identify and convert business goals into data requirements.
Researched and determined scope and complexity of issues.
Determined root cause of data quality errors and recommended long-term solutions.
Analyzed data to identify root causes of problems and recommend corrective actions.
Developed customized reports, summarizing and presenting data in visually appealing format.
Created dashboards to monitor and track key performance indicators.
Collaborated with stakeholders to identify business needs and data sources.
Created data models to support decision-making processes.