Senior Data Analyst

M&T Bank; Baltimore (MD); Híbrido; USD 113.000 - 189.000; Jornada completa

Descripción de la vacante

M&T Bank is seeking a Senior Data Analyst to govern and enable enterprise data assets across the organization. You will document data lineage, quality, metadata, and ownership while ensuring alignment with enterprise standards.

The role requires collaboration with architects and technology teams to improve data movement and governance. Responsibilities include translating business needs into data requirements, building data dictionaries, and supporting regulatory and risk data initiatives.

Formación

• Minimum five years of experience in data analysis, governance, or related fields.
• Experience documenting business, functional, and data requirements.
• Strong knowledge of data management principles and lifecycle.
• Ability to communicate effectively with both business and technology teams.
• Experience with data quality assessment and metadata management.

Responsabilidades

• Identify, inventory, and document where enterprise data is stored.
• Analyze data sources and determine system of record for critical information.
• Develop data inventories, catalogs, and data dictionaries.
• Assess data quality across functions, focusing on completeness and consistency.
• Collaborate with architects to improve data movement and integration.
• Translate business needs into clear data requirements and testable specs.
• Act as liaison between business stakeholders and technology teams.
• Promote data governance and data literacy across the organization.

Conocimientos

SQL

Data governance

Data analysis

Business analysis

Data quality

Communication

Problem-solving

Educación

Bachelor’s degree

Herramientas

Appian

Microsoft SQL Server

Oracle

PostgreSQL

MySQL

IBM Db2

APIs

Cloud data platforms

Descripción del empleo

Senior Data Analyst role focused on understanding, governing, and enabling the effective use of enterprise data assets.

Responsibilities

• Identify, inventory, and document where enterprise data is stored across applications, databases, files, reporting platforms, and third-party systems
• Analyze data sources and determine the authoritative source, including system of record for critical business information
• Develop and maintain data inventories, data catalogs, business glossaries, metadata repositories, and data dictionaries
• Assess data quality across business functions, including completeness, consistency, availability, and usage
• Identify opportunities to improve data accessibility, usability, control, and governance
• Analyze data movement among applications, interfaces, APIs, databases, files, and reporting environments
• Document end-to-end data flows, transformations, handoffs, dependencies, and consumption points
• Identify gaps, redundancies, control weaknesses, and risks in existing data processes
• Collaborate with architects and technology teams to improve data movement and integration approaches
• Support impact analysis for system enhancements, migrations, integrations, and new business initiatives
• Elicit and analyze business requirements related to data, reporting, analytics, integration, and operational processes
• Translate business needs into clear, testable functional and data requirements
• Create requirement specifications, use cases, business rules, process flows, data mappings, and acceptance criteria
• Act as a liaison between business stakeholders and technology delivery teams
• Ensure requirements align with enterprise data standards, approved terminology, and architecture principles
• Support data governance initiatives and promote consistent data management practices
• Assist in defining and documenting data ownership, stewardship, classification, retention, and accountability
• Recommend standards for data quality, metadata management, reference data, and master data
• Advise management and technology teams on how to interpret and use data
• Support audit, regulatory, privacy, risk, and compliance-related data initiatives
• Interpret and review conceptual, logical, and physical data models
• Partner with data architects, solution architects, and technology teams to ensure business requirements are reflected in data designs
• Evaluate the impact of proposed changes to data structures, interfaces, reports, and business processes
• Assist in maintaining enterprise data architecture documentation, standards, and reusable artifacts
• Serve as a trusted advisor to business and technology teams on data-related questions and decisions
• Present findings, recommendations, risks, and options to management and project stakeholders
• Facilitate workshops to define data requirements, ownership, data meaning, and business terminology
• Promote data literacy and shared understanding across the organization
• Adhere to company risk and regulatory standards, policies, and controls in accordance with the Company’s Risk Appetite; escape risk-related issues to management as needed
• Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable; complete other related duties as assigned
• Promote an environment that supports belonging and reflects the M&T Bank brand

Requirements

• Bachelor’s degree and a minimum of 5 years related experience
• Or, in lieu of a degree: combined minimum of 9 years higher education and/or work experience, including a minimum of 5 years related experience
• 5+ years of experience in data analysis, business analysis, data governance, data management, information management, or a related discipline
• Strong understanding of data management principles and the data lifecycle
• Experience documenting business, functional, and data requirements
• Experience analyzing data flows, system interfaces, and application dependencies
• Ability to communicate effectively with both business and technology audiences
• Strong analytical, organizational, facilitation, and problem-solving skills

Technologies

• SQL
• Application Programming Interface (API)
• Microsoft SQL Server
• Oracle
• PostgreSQL
• MySQL
• IBM Db2
• Cloud data platforms
• Appian

Preferred / Ideal Qualifications

• Intermediate ability to navigate and retrieve data from databases directly and/or through an Application Programming Interface (API)
• Working proficiency with SQL and relational database concepts
• Ability to use query languages and data analysis tools to inspect, validate, reconcile, and understand data
• Working knowledge of multiple database management systems, such as Microsoft SQL Server, Oracle, PostgreSQL, MySQL, IBM Db2, or cloud data platforms
• Ability to read and interpret entity-relationship diagrams, conceptual data models, logical data models, and physical data models
• Understanding of data dictionaries, metadata, data lineage, data quality, master data, reference data, and data governance and tools
• Understanding of data warehousing, reporting, integration, and data transformation concepts
• Understanding of working with data within a workflow solution such as Appian
• Experience in the financial industry

Salary

USD 113,300 - 188,800 per year

The pay range for this position is $113,300.00 - $188,800.00 Annual (USD).

Location

• Hybrid within the M&T/Wilmington Trust footprint
• Remote available if based out of footprint
• Baltimore, Maryland, United States of America