Job Description

The Impact you will have in this role:

As a core member of the Data Management Team within Enterprise Data Solutions, a Senior Analyst will be responsible for supporting multiple projects, managing key deliverables, and helping to drive alignment with key stakeholders. Data Management is a high-impact, fast paced team focused on strategic data solutions, supporting data-driven transformation and modernization efforts, and establishing, maturing, and driving the implementation of industry-leading data management practices for the enterprise. The ideal candidate for this position is a self-starter with strong analytical skills and a demonstrated ability to own projects, and quickly learn new concepts and frameworks. Success in this role demands the ability to work in a fast-paced environment and adapt to shifting priorities.

You will provide critical support for the management of Data Domains aligned to the team, including support of enterprise-wide Data Management initiatives. You will need to work effectively within an agile framework as part of a cross functional team that includes Product Managers, Product Owners, Business Architects, Operations and Information Technology Subject Matter Experts, Data Architects, Data Modelers, Enterprise Test Engineers, Data Governance and Data Quality Leads, IT Business System Analysts, and other Data Management Analysts. You should be comfortable working both independently and as part of a team, demonstrating initiative, curiosity, and problem-solving skills while seeking guidance when needed.

Your role is key in bridging the gap between IT and the business and requires the ability to access, profile and analyze data, understand and document business requirements, and communicate clearly and concisely with a broad range of technical and business stakeholders.

Your Primary Responsibilities:

• Take ownership of assigned project deliverables through the lifecycle of engagement, execution and close-out, managing scope, dependencies, and delivery outcomes
• Take initiative and apply problem solving skills and proactively research and learn new concepts to effectively contirnute in a fast-paced and evolving environment.
• Collaborate across business, operations, and technology teams to elicit requirements
• Partner with Product Owners and stakeholders to scope data management deliverables and translate business needs into clear, actionable user stories
• Participate in preliminary data analysis for new initiatives, including assessing data availability within DTCC, identifying authoritative data sources, and defining onboarding approaches for new or enhanced data.
• Utilize SQL to perform data analysis, validation, lineage analysis, and issue investigation across enterprise data sources in support of requirements definition, data quality, and decision-making.
• Work with business and operational partners to define and document business data elements, including standardized names, clear definitions, and valid values.
• Support data modeler efforts by providing business context, data analysis, and source-system insight to inform conceptual and logical data models.
• Maintain required metadata in the enterprise metadata repository for critical and prioritized data elements.
• Support data quality through data profiling, defining data quality and validation rules, performing root-cause analysis, and driving data remediation efforts.
• Define, track, and report key metrics aligned to business use cases and data outcomes.
• Produce clear, concise analysis and reporting to support business decision-making.
• Contribute to the creation and delivery of clear, impactful presentations for stakeholders and leadership, ensuring content is appropriately tailored to the audience and decision-making needs.
• Participate significantly within agile squads as part of the Data Management team.
• Mitigate risk by adhering to established controls, identifying issues early, and demonstrating strong ethical judgment.

Qualifications:

• Minimum of 2-3 years of related experience
• Bachelor's degree (preferred) or equivalent experience

Talents Needed for Success:

• Experience in management consulting, banking, capital markets, or financial operations preferred
• Solid grasp of data management processes and standard methodologies
• Hands-on technical skills, including the ability to independently write and execute SQL queries for data profiling and analysis, including complex joins, subqueries, and common table expressions (CTEs)
• Working knowledge of logical data modeling and relational database design considered a plus, along with familiarity with business architecture frameworks and concepts

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations.

About the Team

Enterprise Services comprises of multiple business platforms including Client Services, Global Business Operations, Business Architecture, Data Strategy and Analytics, and Digital Services, which report into the Chief of Enterprise Services.

These grouped platforms enable the business to optimize delivery for clients, generate efficiencies and resilience, and enable consistency in the business digitization strategy, processes and end-to-end best practices.