Data Quality Specialist

• A comprehensive grasp of Data Management fundamentals, data governance processes, Master Data Management, Reference Data Management, Data Profiling and Data Quality (DQ) rules.
• Experience in identifying, assessing, monitoring, controlling, and mitigating Data Quality issues and risks.
• Experience in developing and rolling out data quality processes.
• Understand Data Quality (DQ) Management Framework policies and standards.
• Excellent quantitative data analysis, including the ability to draw insights from existing quantitative data quality reports & dashboards, as well as explore & summarize 'raw' data sets to discover insights using SQL and Tools.
• Robust project management skills to define & drive technology process improvement projects leveraging virtual teams to deliver permanent data quality improvements to data capture systems.
• Compelling presentation skills (both PowerPoint and in-person) to synthesize complex information and explain it in simple, compelling ways to senior stakeholders to secure buy-in.
• Familiarity with data visualization tools, such as Tableau or Power BI.

• Data Modeling
• Data Analysis
• Data Quality Assurance
• Data Standards and Procedures
• Data Warehouses
• Data Marts
• Data Governance
• SQL, Data Analaysis,ETL tools, Data profiling

• Monitoring data quality, fixing issues that may arise, and implementing data quality improvement plans.
• Ensuring data protection, compliance, and security, while monitoring potential risks and challenges associated with data.
• Overseeing the complete data lifecycle - from data creation and capture, to data processing, storage, and usage.
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.

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