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Collaborate with practice area leads to identify data quality issues and develop effective solutions
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Review and evaluate current data quality checks to ensure they align with business requirements
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Identify opportunities for new data quality checks and enhancements to existing processes
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Assist the Data Quality Lead in implementing and monitoring data quality strategies
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Conduct thorough data analysis to identify trends, patterns, and anomalies that may impact data quality
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Maintain comprehensive documentation of data quality processes and generate reports for stakeholders
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Work closely with cross-functional teams to ensure data quality initiatives align with organizational goals
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Demonstrate the ability to rationalize problems and use judgment and innovation to define clear and concise solutions
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Collaborate across regions (APAC, EMEA, and NA) to effectively identify root causes of code/data issues and develop permanent solutions
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Proficient in data warehousing concepts and ETL tools
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Experience with Azure and Snowflake Testing is a plus. Strong SQL knowledge and debugging skills are essential
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Possess a good understanding of the financial domain and experience with JIRA defect management tools
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Perform comprehensive data quality checks and propose enhancements to existing processes
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Analyse and solve complex problems related to data quality in the investment banking domain
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Collaborate with cross-functional teams to ensure data integrity across various systems
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Support business system analysis, project management, and quality assurance initiatives
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Demonstrated experience in data quality management, data analysis, or related fields
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Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
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Familiarity with Agile methodology and Atlassian tools is advantageous
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Knowledge in snowflake
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Proficient in data management tools and technologies
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Strong analytical and problem-solving abilities with the capability to interpret complex data sets
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Excellent verbal and written communication skills for effective collaboration and reporting
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High attention to detail with a focus on accuracy and quality
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Enforce data quality best practices
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Work on data modelling according to project requirements
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Strong SQL knowledge and debugging skills are essential
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Knowledge in snowflak