Data Quality Analyst
1 week ago
Key Responsibilities :
Data Quality Management :
- Define and enforce data quality standards across a data domains.
- Conduct a data quality assessment and audit to identify and resolve inconsistencies, inaccuracies, and incompleteness in the data.
- Collaborate with data owners and stakeholders to establish data quality metrics and KPIs.
- Build the process to monitor data quality metrics and report on data quality to stakeholders
- Provide support and guidance on best practices for data management and quality
- Develop data quality dashboards and reports for ongoing monitoring and analysis
- Manage the resolution of all data issues identified
Data Profiling and Analysis :
- Conduct data profiling and analysis to identify patterns, anomalies, and trends.
- Work closely with data owners and users to understand data requirements and provide insights to improve data quality.
- Identify and resolve data quality issues through root cause analysis and corrective actions
- Develop and maintain data cleansing routines to enhance data quality
- Analyze large datasets to identify patterns and trends impacting data quality
Collaboration and Communication :
- Collaborate with Data Teams, Operational Teams, business analysts, and other stakeholders to drive a culture of data quality management system.
- Communicate findings and recommendations to both technical and non-technical audiences effectively.
Continuous Improvement :
- Stay current on industry trends and emerging technologies related to data governance, quality, and data platform.
- Propose and implement process improvements to enhance Data Quality practices.
Qualifications & Skills :
- Bachelor's degree in a related field (e.g., Information Management, Computer Science, Business Analytics).
- Proficiency in SQL and experience with data analysis tools such as Python or R
- Proven experience in data analysis, data quality management
- Experience with BI tools like Tableau or PowerBI for reporting and visualization
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Excellent communication and interpersonal skills.
- Familiarity with data management tools and technologies.
- CDMP, CISSP, CISM, or other relevant certifications would be a plus.
- Ability to work independently and collaboratively in a team-oriented environment.
- Experience of Human Capital data.
- Experience in Azure technology is nice to have.
- Excellent communication skills, with the ability to convey complex information clearly and
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