Data Analyst

As a Senior Data Analyst at QuantumNeuron Technologies, you will be responsible for analyzing complex capital markets datasets and providing data-driven solutions to support business and technology teams. Your expertise in SQL and financial markets domain will be crucial in performing data validation, reconciliation, root cause analysis, and developing data-driven insights. Key Responsibilities: - Analyze large volumes of capital markets data across trading, operations, risk, and reporting platforms. - Develop complex SQL queries for data extraction, transformation, validation, and analysis. - Perform data profiling, data quality checks, reconciliation, and issue investigation. - Analyze trade lifecycle data including trade capture, settlement, positions, and transaction flows. - Collaborate with business and technology teams to translate requirements into data solutions. - Conduct source-to-target data mapping, impact analysis, and support data migration activities. - Identify data discrepancies, conduct root cause analysis, and drive resolution. - Generate analytical reports, dashboards, and management insights. - Assist in testing, implementation, and production activities. Qualifications Required: - 6 - 10 years of experience as a Data Analyst in Capital Markets / Financial Services. - Strong hands-on expertise in SQL (complex joins, subqueries, CTEs, window functions, query optimization). - Proficiency with relational databases like Oracle, PostgreSQL, or SQL Server. - Good understanding of capital markets concepts including trade lifecycle, equities, fixed income, derivatives, settlements, reconciliations, positions, and holdings. - Experience working with large datasets, data investigation, and data quality frameworks. - Familiarity with ETL concepts, data flows, and transformation logic. - Ability to independently collaborate with business stakeholders and technology teams. As a Senior Data Analyst at QuantumNeuron Technologies, you will be responsible for analyzing complex capital markets datasets and providing data-driven solutions to support business and technology teams. Your expertise in SQL and financial markets domain will be crucial in performing data validation, reconciliation, root cause analysis, and developing data-driven insights. Key Responsibilities: - Analyze large volumes of capital markets data across trading, operations, risk, and reporting platforms. - Develop complex SQL queries for data extraction, transformation, validation, and analysis. - Perform data profiling, data quality checks, reconciliation, and issue investigation. - Analyze trade lifecycle data including trade capture, settlement, positions, and transaction flows. - Collaborate with business and technology teams to translate requirements into data solutions. - Conduct source-to-target data mapping, impact analysis, and support data migration activities. - Identify data discrepancies, conduct root cause analysis, and drive resolution. - Generate analytical reports, dashboards, and management insights. - Assist in testing, implementation, and production activities. Qualifications Required: - 6 - 10 years of experience as a Data Analyst in Capital Markets / Financial Services. - Strong hands-on expertise in SQL (complex joins, subqueries, CTEs, window functions, query optimization). - Proficiency with relational databases like Oracle, PostgreSQL, or SQL Server. - Good understanding of capital markets concepts including trade lifecycle, equities, fixed income, derivatives, settlements, reconciliations, positions, and holdings. - Experience working with large datasets, data investigation, and data quality frameworks. - Familiarity with ETL concepts, data flows, and transformation logic. - Ability to independently collaborate with business stakeholders and technology teams.