Senior Data Analyst — Data Governance & Insights

Wilmington Trust; Wilmington (DE); Hybrid; USD 113,000 - 189,000; Full time

Job summary

Wilmington Trust, the IS Data Analyst Senior role within the M&T Bank footprint, seeks to govern and effectively use enterprise data assets. You will identify where data is stored, document data flows, and guide governance, quality, and management practices across processes and technology platforms.

The role emphasizes translating business needs into data requirements and partnering with data architects, solution architects, and delivery teams to improve data movement, reporting, and governance

Qualifications

• Bachelor's degree and minimum 5 years related experience, or 9 years combined higher education/experience.
• 5+ years in data analysis, governance, management, or related discipline.
• Strong understanding of data management principles and lifecycle.
• Experience documenting business, functional, and data requirements.
• Ability to communicate effectively with business and technology audiences.

Responsibilities

• Identify where enterprise data is stored across applications, databases, files, and third-party systems.
• Analyze data sources to determine authoritative source or system of record.
• Develop data inventories, catalogs, glossaries, and metadata repositories.
• Assess data quality, availability, and usage across functions.
• Collaborate with architects and tech teams to improve data movement and integration.
• Document end-to-end data flows, transformations, and dependencies.
• Support data governance initiatives and data ownership/documentation.

Skills

Data analysis

Data governance

Data management

Business analysis

Communication

Education

Bachelor's degree

Tools

SQL

Relational databases

APIs

Appian

Job description

Wilmington Trust, the IS Data Analyst Senior role within the M&T Bank footprint, seeks to govern and effectively use enterprise data assets. You will identify where data is stored, document data flows, and guide governance, quality, and management practices across processes and technology platforms.

The role emphasizes translating business needs into data requirements and partnering with data architects, solution architects, and delivery teams to improve data movement, reporting, and governance