Data Quality (26-00185) -

Key Responsibilities

• Collaborate with practice area leads to identify data quality issues and develop effective solutions
• Review and evaluate current data quality checks to ensure they align with business requirements
• Identify opportunities for new data quality checks and enhancements to existing processes
• Assist the Data Quality Lead in implementing and monitoring data quality strategies
• Conduct thorough data analysis to identify trends, patterns, and anomalies that may impact data quality
• Maintain comprehensive documentation of data quality processes and generate reports for stakeholders
• Work closely with cross-functional teams to ensure data quality initiatives align with organizational goals
• Demonstrate the ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Collaborate across regions (APAC, EMEA, and NA) to effectively identify root causes of code/data issues and develop permanent solutions
• Proficient in data warehousing concepts and ETL tools
• Experience with Azure and Snowflake Testing is a plus. Strong SQL knowledge and debugging skills are essential
• Possess a good understanding of the financial domain and experience with JIRA defect management tools
• Perform comprehensive data quality checks and propose enhancements to existing processes
• Analyse and solve complex problems related to data quality in the investment banking domain
• Collaborate with cross-functional teams to ensure data integrity across various systems
• Support business system analysis, project management, and quality assurance initiatives

Required Skills

• Demonstrated experience in data quality management, data analysis, or related fields
• Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
• Familiarity with Agile methodology and Atlassian tools is advantageous
• Knowledge in snowflake
• Proficient in data management tools and technologies
• Strong analytical and problem-solving abilities with the capability to interpret complex data sets
• Excellent verbal and written communication skills for effective collaboration and reporting
• High attention to detail with a focus on accuracy and quality
• Enforce data quality best practices
• Work on data modelling according to project requirements
• Strong SQL knowledge and debugging skills are essential
• Knowledge in snowflake