▷ Apply Now Data Quality Analysts

1 day ago

Delhi, India MainStreamTek Full time

Overview
We are seeking a highly skilled Data Quality Analyst with 3 to 6 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
Perform comprehensive data quality checks and propose enhancements to existing processes
Analyze 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
Work on Trade Life Cycle and Management modules, including Front, Middle, and Back- office operations
Utilize tools such as Charles River Investment Management System (CRD), SQL for data analysis
Engage in extended testing areas, including End to End Performance Testing
Conduct Data Validation and Cleansing to identify and rectify errors and inconsistencies, ensuring high data quality
Continuously monitor data quality metrics and trends to pinpoint areas needing improvement
Perform Data Quality Assessments and audits to evaluate data quality
Collaborate closely with data engineers, data scientists, and other stakeholders to uphold data quality standards
Maintain detailed documentation of data quality processes and standards
Create and present reports on data quality metrics and improvements to management

Required Skills
Strong expertise in investment banking, capital markets -

Front, Middle and Back office operations
Proficient in SQL, ETL and various data analysis tools
Well-versed in Charles River IMS (CRD)and its functionalities
Excellent analytical and problem-solving skills
Experienced in quality assurance life cycles and testing methodologies
Effective communicator, capable of engaging with both technical and non-technical stakeholders
Detail-oriented, skilled in identifying and correcting data discrepancies and errors
Strong analytical skills for examining data and recognizing patterns or issues
Familiarity with Agile methodology and Atlassian tools is advantageous
Technically proficient with data management tools and software, such as SQL, Excel, and data visualization tools
Knowledge in snowflake
Problem-solving skills to devise solutions for enhancing data quality
Excellent verbal and written communication abilities for collaborating with team members and stakeholders
Self-motivated and proactive in identifying and resolving data quality issues
Strong organizational skills and attention to detail
Ability to work independently and as part of a team
Eager to learn and adapt to new technologies and methodologies

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