Data Analyst

• Identify patterns and relationships to evaluate, maintain and enrich data quality across multiple systems and data sources
• Continually assess and evaluate processes to improve efficiency in data cleansing activities, with a focus on identifying automation opportunities
• Develop flexible, reusable, and efficient SQL code while adhering to best practices
• Conduct root cause analysis (RCA) and impact analysis to identify data quality issues, inform automation efforts, and report findings to teams and stakeholders
• Contribute to the design and implementation of ETL processes using PL/SQL, SQL or Python

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