Senior Data Analyst

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; escalate 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