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M&T Bank — жеке тұлғаларға, бизнеске және коммерциялық клиенттерге банк қызметтері, сақтандыру және қаржылық кеңес беру қызметтері арқылы қызмет көрсететін өңірлік қаржы ұйымы. Оның ұсыныстарына ағымдағы шоттар, кредиттік карталар, ипотекалық несиелер, жеке қарыздар, цифрлық және мобильді банкинг, сондай-ақ Wilmington Advisors @ M&T арқылы қаржылық жоспарлау кіреді. Банк жергілікті кәсіпорындар мен көпмәдениетті банкинг бастамаларын да қолдайды, қоғамдастықпен байланысқа, киберқауіпсіздікке және қолжетімді онлайн қаржылық қызметтерге баса назар аударады. 1856 жылы құрылған M&T Bank-те 10 000-нан астам қызметкер жұмыс істейді.
Senior Data Analyst, Institutional Services (Hybrid)
Senior Data Analyst supporting enterprise data governance, architecture, quality, integration, and reporting for institutional trust services at M&T Bank. The role connects business and technology teams to document data assets, assess data flows, and advance modernization initiatives.
Сипаттама
- Inventory and document enterprise data across applications, databases, files, reporting platforms, and third-party systems
- Identify authoritative sources and systems of record for critical business information
- Create and maintain data inventories, catalogs, glossaries, metadata repositories, and data dictionaries
- Evaluate data quality, completeness, consistency, availability, and usage
- Analyze data movement across applications, interfaces, APIs, databases, files, and reporting environments
- Record end-to-end data flows, transformations, handoffs, dependencies, and consumption points
- Identify process gaps, redundancies, control weaknesses, and data-related risks
- Partner with architects and technology teams on data movement and integration work
- Contribute to impact assessments for enhancements, migrations, integrations, and new initiatives
- Gather business needs and convert them into functional and data requirements
- Develop specifications, use cases, business rules, process flows, data mappings, and acceptance criteria
- Coordinate communication between business stakeholders and technology delivery teams
- Contribute to data governance, ownership, stewardship, classification, retention, and accountability efforts
- Recommend standards for data quality, metadata, reference data, and master data
- Support data initiatives related to audits, regulations, privacy, risk, and compliance
- Review and interpret conceptual, logical, and physical data models
- Maintain enterprise data architecture documentation, standards, and reusable materials
- Present findings, recommendations, risks, and options to managers and project stakeholders
- Lead workshops and encourage data literacy throughout the organization
- Follow risk, regulatory, internal control, audit, and compliance requirements
- Help foster a workplace that supports belonging and represents the M&T Bank brand
- Perform other related responsibilities as assigned
Талаптар
- Bachelor’s degree with at least five years of related experience, or a combination of at least nine years of higher education and/or work experience that includes five years of related experience
- At least five years of experience in data analysis, business analysis, data governance, data management, information management, or a related field
- Solid knowledge of data management principles and the data lifecycle
- Experience documenting business, functional, and data requirements
- Experience evaluating data flows, system interfaces, and application dependencies
- Ability to communicate clearly with business and technology audiences
- Strong analytical, organizational, facilitation, and problem-solving capabilities
- Intermediate ability to access and retrieve data directly from databases or through APIs
- Working knowledge of SQL and relational database concepts
- Ability to use query languages and analysis tools to inspect, validate, reconcile, and interpret data
- Working knowledge of multiple database systems, including Microsoft SQL Server, Oracle, PostgreSQL, MySQL, IBM Db2, or cloud data platforms
- Ability to interpret entity-relationship diagrams and conceptual, logical, and physical data models
- Knowledge of data dictionaries, metadata, lineage, quality, master data, reference data, governance, and related tools
- Knowledge of data warehousing, reporting, integration, and data transformation concepts
- Understanding of data work within workflow platforms such as Appian
- Experience in the financial services industry
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