Senior Data Quality Analyst

Roles and Responsibility Develop and implement effective data quality control processes to ensure high-quality data. Analyze large datasets to identify trends and patterns, providing insights to stakeholders. Collaborate with crossfunctional teams to resolve datarelated issues and improve overall data quality. Design and maintain databases and data systems that support data quality initiatives. Develop and deliver training programs to educate employees on data quality best practices. Monitor and report on data quality metrics, identifying areas for improvement. Job Requirements Strong understanding of data quality principles and methodologies. Excellent analytical and problemsolving skills with attention to detail. Ability to work effectively in a team environment and communicate complex ideas clearly. Proficiency in data analysis tools and technologies, such as SQL and Excel. Experience with data quality management tools and technologies, such as Tableau. Strong knowledge of database design principles and data modeling techniques. A graduate or postgraduate degree is required. Roles and Responsibility Develop and implement effective data quality control processes to ensure high-quality data. Analyze large datasets to identify trends and patterns, providing insights to stakeholders. Collaborate with crossfunctional teams to resolve datarelated issues and improve overall data quality. Design and maintain databases and data systems that support data quality initiatives. Develop and deliver training programs to educate employees on data quality best practices. Monitor and report on data quality metrics, identifying areas for improvement. Job Requirements Strong understanding of data quality principles and methodologies. Excellent analytical and problemsolving skills with attention to detail. Ability to work effectively in a team environment and communicate complex ideas clearly. Proficiency in data analysis tools and technologies, such as SQL and Excel. Experience with data quality management tools and technologies, such as Tableau. Strong knowledge of database design principles and data modeling techniques. A graduate or postgraduate degree is required.