Data Quality Analyst

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

· 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

· 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