Akronintel Pvt Ltd

As a highly skilled Senior Data Quality Specialist with 10 to 15 years of experience, you will need to combine business acumen with technical expertise. Your role will involve effective problem-solving, consulting with practice area leads, and enhancing data quality processes. Your primary responsibility will be to collaborate with practice area leads to identify data quality issues and develop effective solutions. You will also review and evaluate current data quality checks to ensure they align with business requirements. Furthermore, you will be expected to identify opportunities for new data quality checks and enhancements to existing processes. Working closely with the Data Quality Lead, you will assist in implementing and monitoring data quality strategies. Your role will require conducting thorough data analysis to identify trends, patterns, and anomalies that may impact data quality. In addition, you will be responsible for maintaining comprehensive documentation of data quality processes and generating reports for stakeholders. Collaboration with cross-functional teams to ensure data quality initiatives align with organizational goals will also be essential. You should demonstrate the ability to rationalize problems, exercise judgment, and use innovation to define clear and concise solutions. Moreover, you will collaborate across regions (APAC, EMEA, and NA) to effectively identify root causes of code/data issues and develop permanent solutions. Proficiency in data warehousing concepts and ETL tools is crucial for this role. Experience with Azure and Snowflake Testing is a plus, along with strong SQL knowledge and debugging skills. A good understanding of the financial domain and experience with JIRA defect management tools will be beneficial. Your responsibilities will also include performing comprehensive data quality checks, proposing enhancements to existing processes, and analyzing and solving complex problems related to data quality in the investment banking domain. Collaboration with cross-functional teams to ensure data integrity across various systems and support for business system analysis, project management, and quality assurance initiatives will be part of your role. Key Skills Required: - 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 - Knowledge of Snowflake - Proficiency 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 - Enforcement of data quality best practices - Work on data modeling according to project requirements - Strong SQL knowledge and debugging skills, with additional knowledge in Snowflake.,

As a Data Quality Analyst with 6 to 10 years of experience in the Investment Banking Domain, you will play a crucial role in ensuring the accuracy, consistency, and reliability of data within the organization. Your responsibilities will include performing comprehensive data quality checks, analyzing and solving complex problems related to data quality, collaborating with cross-functional teams to maintain data integrity, and supporting various initiatives such as Business System Analysis, Project Management, and Quality Assurance. You will be working on Trade Life Cycle and Management modules, encompassing Front, Middle, and Back-office operations. Utilizing tools like Charles River Investment Management System (CRD) and SQL for data analysis, you will engage in extended testing areas, including End to End Performance Testing. Your tasks will also involve conducting Data Validation and Cleansing to rectify errors and inconsistencies, thereby ensuring high data quality standards are met. In addition to monitoring data quality metrics and trends, you will conduct Data Quality Assessments and audits to evaluate the overall data quality. Collaboration with data engineers, data scientists, and other stakeholders will be essential to uphold data quality standards. Maintaining detailed documentation of data quality processes and standards, as well as creating and presenting reports on data quality metrics and improvements to management, will be part of your regular activities. To excel in this role, you should possess strong expertise in investment banking and capital markets, particularly in Front, Middle, and Back-office operations. Proficiency in SQL, ETL, and various data analysis tools is required, along with familiarity with Charles River IMS (CRD) and its functionalities. Excellent analytical and problem-solving skills, along with experience in quality assurance life cycles and testing methodologies, are essential for success in this position. Effective communication skills, both verbal and written, are crucial for engaging with technical and non-technical stakeholders. Being detail-oriented and having strong analytical skills to identify and correct data discrepancies and errors are key attributes. Familiarity with Agile methodology and Atlassian tools is advantageous, as is technical proficiency with data management tools and software like SQL, Excel, and data visualization tools. Problem-solving skills, a proactive attitude towards resolving data quality issues, strong organizational skills, and the ability to work both independently and as part of a team are also important qualities for this role. Being eager to learn and adapt to new technologies and methodologies will further enhance your performance as a Data Quality Analyst.,