Data Quality Analysts

6 days ago

Mumbai, 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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