Identify, inventory, and document enterprise data across applications, databases, files, reporting platforms, and third-party systems; determine authoritative sources.
Maintain data inventories, glossaries, metadata repositories, and data dictionaries; assess data quality and usage.
Identify opportunities to improve data accessibility, control, and governance; map data movement across applications, interfaces, APIs, databases, and reporting environments.
Document end-to-end data flows, transformations, handoffs, dependencies, and consumption points; identify gaps, redundancies, risks, and control weaknesses.
Collaborate with architects and technology teams to enhance data movement and integration; support impact analysis for system changes and new initiatives.

Key requirements

Identify, inventory, and document enterprise data across applications, databases, files, reporting platforms, and third-party systems; determine authoritative sources.
Maintain data inventories, glossaries, metadata repositories, and data dictionaries; assess data quality and usage.
Identify opportunities to improve data accessibility, control, and governance; map data movement across applications, interfaces, APIs, databases, and reporting environments.
Document end-to-end data flows, transformations, handoffs, dependencies, and consumption points; identify gaps, redundancies, risks, and control weaknesses.
Collaborate with architects and technology teams to enhance data movement and integration; support impact analysis for system changes and new initiatives.

Jobs at M&T Bank

2 active roles from this employer in the JobMatcher catalog.

All company jobs

Jobs at M&T Bank

2 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Baltimore, Maryland, United States - Hybrid work arrangement within the M&T/Wilmington Trust footprint; remote options may be available for candidates outside the footprint.

Overview: The Institutional Services division at M&T Bank is pursuing a strategic program to improve data governance, data quality, and data management to enable digital transformation and scalable client-centric solutions. The Senior Data Analyst will help the organization locate data assets, document where data resides, and provide guidance on data usage, quality, governance, and architecture. The role requires translating business needs into data requirements and collaborating with data architects, governance teams, and technology partners to support reporting, integration, and modernization initiatives.

Responsibilities

Identify, inventory, and document enterprise data across applications, databases, files, reporting platforms, and third-party systems; determine authoritative sources.
Maintain data inventories, glossaries, metadata repositories, and data dictionaries; assess data quality and usage.
Identify opportunities to improve data accessibility, control, and governance; map data movement across applications, interfaces, APIs, databases, and reporting environments.
Document end-to-end data flows, transformations, handoffs, dependencies, and consumption points; identify gaps, redundancies, risks, and control weaknesses.
Collaborate with architects and technology teams to enhance data movement and integration; support impact analysis for system changes and new initiatives.
Elicit a

About the role

Baltimore, Maryland, United States - Hybrid work arrangement within the M&T/Wilmington Trust footprint; remote options may be available for candidates outside the footprint.

Overview: The Institutional Services division at M&T Bank is pursuing a strategic program to improve data governance, data quality, and data management to enable digital transformation and scalable client-centric solutions. The Senior Data Analyst will help the organization locate data assets, document where data resides, and provide guidance on data usage, quality, governance, and architecture. The role requires translating business needs into data requirements and collaborating with data architects, governance teams, and technology partners to support reporting, integration, and modernization initiatives.

Responsibilities

Identify, inventory, and document enterprise data across applications, databases, files, reporting platforms, and third-party systems; determine authoritative sources.
Maintain data inventories, glossaries, metadata repositories, and data dictionaries; assess data quality and usage.
Identify opportunities to improve data accessibility, control, and governance; map data movement across applications, interfaces, APIs, databases, and reporting environments.
Document end-to-end data flows, transformations, handoffs, dependencies, and consumption points; identify gaps, redundancies, risks, and control weaknesses.
Collaborate with architects and technology teams to enhance data movement and integration; support impact analysis for system changes and new initiatives.
Elicit a

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