Data Quality Analyst

As a Data Quality Analyst at Grade 7, your role is crucial in maintaining high data quality standards across the General Fundamentals dataset. You will be responsible for conducting thorough data quality assessments, identifying discrepancies, and implementing corrective actions to ensure the data meets the highest quality benchmarks. Your analytical skills will play a key role in providing insights that inform decision-making and enhance overall data quality. Joining the team offers you a unique opportunity to deepen your expertise in data quality within a client-focused environment by collaborating closely with various departments and driving meaningful improvements in data quality processes. **Key Responsibilities:** - Conduct comprehensive data quality assessments and audits to identify discrepancies and areas for improvement. - Develop and implement data quality frameworks, standards, and best practices. - Collaborate with data owners and stakeholders to define data quality requirements and metrics. - Utilize data profiling tools and techniques to monitor data quality and report findings. - Design and execute data cleansing and validation processes to enhance data accuracy. - Proactively monitor processes to identify deviations, ensuring timely escalation and reporting to management and stakeholders. - Analyse defects from regular operations and correlate them with various datasets in Data Quality to derive actionable insights. - Stay updated on industry trends and advancements in data quality management. **Qualifications:** - A full-time MBA or postgraduate degree in a relevant field is preferred. - 2 years of experience in data quality management or a similar role. - Strong analytical skills with a keen attention to detail. - Proficiency in data profiling and data quality tools. - Excellent communication and interpersonal skills to collaborate effectively with teams. - Knowledge of data governance principles and practices is a plus. - General Fundamentals Main table knowledge is an added advantage. By excelling in this role, you will contribute to upholding data integrity and accuracy, implementing data quality practices that support organizational goals, fostering collaboration across departments to address data quality challenges, and promoting a culture of continuous improvement in data quality management. As a Data Quality Analyst at Grade 7, your role is crucial in maintaining high data quality standards across the General Fundamentals dataset. You will be responsible for conducting thorough data quality assessments, identifying discrepancies, and implementing corrective actions to ensure the data meets the highest quality benchmarks. Your analytical skills will play a key role in providing insights that inform decision-making and enhance overall data quality. Joining the team offers you a unique opportunity to deepen your expertise in data quality within a client-focused environment by collaborating closely with various departments and driving meaningful improvements in data quality processes. **Key Responsibilities:** - Conduct comprehensive data quality assessments and audits to identify discrepancies and areas for improvement. - Develop and implement data quality frameworks, standards, and best practices. - Collaborate with data owners and stakeholders to define data quality requirements and metrics. - Utilize data profiling tools and techniques to monitor data quality and report findings. - Design and execute data cleansing and validation processes to enhance data accuracy. - Proactively monitor processes to identify deviations, ensuring timely escalation and reporting to management and stakeholders. - Analyse defects from regular operations and correlate them with various datasets in Data Quality to derive actionable insights. - Stay updated on industry trends and advancements in data quality management. **Qualifications:** - A full-time MBA or postgraduate degree in a relevant field is preferred. - 2 years of experience in data quality management or a similar role. - Strong analytical skills with a keen attention to detail. - Proficiency in data profiling and data quality tools. - Excellent communication and interpersonal skills to collaborate effectively with teams. - Knowledge of data governance principles and practices is a plus. - General Fundamentals Main table knowledge is an added advantage. By excelling in this role, you will contribute to upholding data integrity and accuracy, implementing data quality practices that support organizational goals, fostering collaboration across departments to address data quality challenges, and promoting a culture of continuous improvement in data quality management.