Senior Data Analyst (Institutional Services)
Chicago, ILAll locationsChicago, ILHybrid within the M&T/Wilmington Trust footprint, open to remote if based out of footprintBaltimore, MDBuffalo, NYMinneapolis, MNBoston, MAWilmington, DE Hybrid
$113,300–$188,800 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
The Wilmington Trust Institutional Services (IS) division is experiencing rapid business growth and has initiated a strategic program of continuous improvement to support the growth objectives. The goals of the program are to reduce operational issues and risks by standardizing processes, implementing best practices in key areas, and adding new governance and control functions. In addition, long term digital transformation is required to grow revenue through new and transformed digital-first trust and agency service products, to move from a product-centric to client-centric operating model, to move from market-specific to global solutions, and to dramatically lower the cost to serve. These two strategic focus areas are driving growth in overall business investment. In alignment with IS’s growing investment, we are seeking an IS Data Analyst Senior to help the organization understand, govern, and effectively use its data assets. The successful candidate understands how information is created, transformed, stored, and consumed across business processes and technology platforms. They translate business needs into clear data and functional requirements and support data architecture, governance, reporting, integration, and modernization initiatives.
What you'll bring
- 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.