All fields marked * are required
Position Title : Data Quality
Experience : 2+ Years
Location : All Locations
Overview
We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization.
Key Responsibilities
路 Perform comprehensive data quality checks and propose enhancements to existing processes
路 Analyze and solve complex problems related to data quality in the Investment Banking domain
路 Collaborate with cross-functional teams to ensure data integrity across various systems
路 Support Business System Analysis, Project Management, and Quality Assurance initiatives
路 Work on Trade Life Cycle and Management modules, including Front, Middle, and Back-office operations
路 Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
路 Engage in extended testing areas, including End to End Performance Testing
路 Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
路 Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
路 Perform Data Quality Assessments and audits to evaluate data quality
路 Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
路 Maintain detailed documentation of data quality processes and standards
路 Create and present reports on data quality metrics and improvements to management
Required Skills
路 Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
路 Proficient in SQL, ETL and various data analysis tools
路 Excellent analytical and problem-solving skills
路 Experienced in quality assurance life cycles and testing methodologies
路 Effective communicator, capable of engaging with both technical and non-technical stakeholders
路 Detail-oriented, skilled in identifying and correcting data discrepancies and errors
路 Strong analytical skills for examining data and recognizing patterns or issues
路 Familiarity with Agile methodology and Atlassian tools is advantageous
路 Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
路 Knowledge in snowflake
路 Problem-solving skills to devise solutions for enhancing data quality
路 Excellent verbal and written communication abilities for collaborating with team members and stakeholders
路 Self-motivated and proactive in identifying and resolving data quality issues
路 Strong organizational skills and attention to detail
路 Ability to work independently and as part of a team
路 Eager to learn and adapt to new technologies and methodologies
Required
Preferred
All fields marked * are required
Position Title : Data Quality
Experience : 2+ Years
Location : All Locations
Overview
We are seeking a highly skilled Data Quality Analyst with 6 to 10 years of experience and a strong foundation in both business and technical expertise in Investment Banking Domain. The ideal candidate will be an analytical thinker, adept at problem-solving, reviewing data quality checks, and proposing new ones. As a Data Quality Analyst, you will ensure the accuracy, consistency, and reliability of data within the organization.
Key Responsibilities
路 Perform comprehensive data quality checks and propose enhancements to existing processes
路 Analyze and solve complex problems related to data quality in the Investment Banking domain
路 Collaborate with cross-functional teams to ensure data integrity across various systems
路 Support Business System Analysis, Project Management, and Quality Assurance initiatives
路 Work on Trade Life Cycle and Management modules, including Front, Middle, and Back-office operations
路 Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
路 Engage in extended testing areas, including End to End Performance Testing
路 Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
路 Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
路 Perform Data Quality Assessments and audits to evaluate data quality
路 Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
路 Maintain detailed documentation of data quality processes and standards
路 Create and present reports on data quality metrics and improvements to management
Required Skills
路 Strong expertise in investment banking, capital markets - Front, Middle and Back office operations
路 Proficient in SQL, ETL and various data analysis tools
路 Excellent analytical and problem-solving skills
路 Experienced in quality assurance life cycles and testing methodologies
路 Effective communicator, capable of engaging with both technical and non-technical stakeholders
路 Detail-oriented, skilled in identifying and correcting data discrepancies and errors
路 Strong analytical skills for examining data and recognizing patterns or issues
路 Familiarity with Agile methodology and Atlassian tools is advantageous
路 Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
路 Knowledge in snowflake
路 Problem-solving skills to devise solutions for enhancing data quality
路 Excellent verbal and written communication abilities for collaborating with team members and stakeholders
路 Self-motivated and proactive in identifying and resolving data quality issues
路 Strong organizational skills and attention to detail
路 Ability to work independently and as part of a team
路 Eager to learn and adapt to new technologies and methodologies
Required
Preferred