Senior Data Analyst – Institutional Services

M&T Bank

. Identify, inventory, and document enterprise data across applications, databases, files, reporting platforms, and third-party systems .

Posted 10/9/2026full-timeUnited StatesSenior💰 $113,300 - $188,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, data governance, and data management principles, with a strong ability to document business and data requirements. Proficient in SQL and relational database concepts, with experience in data quality assessment and compliance initiatives.

Highest-signal resume keywords

Data AnalysisData GovernanceSQL ProficiencyData Management PrinciplesData Quality Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData GovernanceData ManagementSQLData QualityData ModelingData WarehousingData TransformationAPI NavigationData Documentation

Soft Skills

Analytical SkillsOrganizational SkillsFacilitation SkillsProblem-Solving SkillsEffective Communication

Tools & Technologies

Microsoft SQL ServerOraclePostgreSQLMySQLIBM Db2Appian

Industry Keywords

Financial IndustryData LifecycleData Quality StandardsCompliance StandardsData Literacy

Tech Stack

Tools & technologies

CloudMS SQL ServerMySQLOraclePostgresSQL

About the role

Key responsibilities & impact

Identify, inventory, and document enterprise data across applications, databases, files, reporting platforms, and third-party systems
Determine authoritative sources or systems of record for critical business information
Develop and maintain data inventories, catalogs, glossaries, metadata repositories, and data dictionaries
Assess data quality, completeness, consistency, availability, and usage
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 data processes
Collaborate with architects and technology teams on data movement and integration
Support impact analysis for enhancements, migrations, integrations, and new initiatives
Elicit and translate business needs into functional and data requirements
Create specifications, use cases, business rules, process flows, data mappings, and acceptance criteria
Liaise between business stakeholders and technology delivery teams
Support data governance, ownership, stewardship, classification, retention, and accountability initiatives
Recommend data quality, metadata, reference data, and master data standards
Support audit, regulatory, privacy, risk, and compliance-related data initiatives
Interpret and review conceptual, logical, and physical data models
Maintain enterprise data architecture documentation, standards, and reusable artifacts
Present findings, recommendations, risks, and options to management and project stakeholders
Facilitate workshops and promote data literacy across the organization
Adhere to risk, regulatory, internal control, audit, and compliance standards
Promote an environment that supports belonging and reflects the M&T Bank brand
Complete other related duties as assigned

Requirements

What you’ll need

Bachelor’s degree and a minimum of 5 years related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/or work experience, including a minimum of 5 years related experience
Five or more 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
Intermediate ability to navigate and retrieve data from databases directly and/or through 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 financial industry