Data Quality Analyst

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