Senior Data Analyst for M&T Bank's Institutional Services division. The role will help the organization understand, govern, and effectively use its data assets by identifying where data is stored across the enterprise, organizing and documenting information, and analyzing data flows between applications. The successful candidate will translate business needs into clear data and functional requirements and support data architecture, governance, reporting, integration, and modernization initiatives. Key responsibilities include inventorying enterprise data storage across applications and third-party systems; determining authoritative sources of critical information; developing and maintaining data inventories, catalogs, glossaries, metadata repositories, and data dictionaries; assessing data quality, completeness, consistency, availability, and usage; identifying opportunities to improve data accessibility, usability, control, and governance; documenting end-to-end data flows and transformations; collaborating with data architects and technology teams to reflect business requirements in data designs; supporting data governance initiatives and promoting consistent data management practices; assisting in defining data ownership, stewardship, classification, retention, and accountability; engaging with management and technology teams to interpret data and advise on appropriate use; supporting audit, regulatory, privacy, risk, and compliance-related data initiatives; interpreting data models and evaluating the impact of changes to data structures. The role involves facilitating w

Senior Data Analyst for M&T Bank's Institutional Services division. The role will help the organization understand, govern, and effectively use its data assets by identifying where data is stored across the enterprise, organizing and documenting information, and analyzing data flows between applications. The successful candidate will translate business needs into clear data and functional requirements and support data architecture, governance, reporting, integration, and modernization initiatives. Key responsibilities include inventorying enterprise data storage across applications and third-party systems; determining authoritative sources of critical information; developing and maintaining data inventories, catalogs, glossaries, metadata repositories, and data dictionaries; assessing data quality, completeness, consistency, availability, and usage; identifying opportunities to improve data accessibility, usability, control, and governance; documenting end-to-end data flows and transformations; collaborating with data architects and technology teams to reflect business requirements in data designs; supporting data governance initiatives and promoting consistent data management practices; assisting in defining data ownership, stewardship, classification, retention, and accountability; engaging with management and technology teams to interpret data and advise on appropriate use; supporting audit, regulatory, privacy, risk, and compliance-related data initiatives; interpreting data models and evaluating the impact of changes to data structures. The role involves facilitating w