Data Management Senior Analyst

DTCC•Tampa, FL
•Hybrid

About The Position

As a core member of DTCC’s Data Management Team within Enterprise Data Solutions, the Senior Analyst supports multiple projects, manages key deliverables, and helps align stakeholders. The team focuses on strategic data solutions, data-driven transformation and modernization, and implementing and maturing enterprise data management practices. The role supports management of assigned Data Domains and enterprise-wide Data Management initiatives. The Senior Analyst works within an agile framework on cross-functional teams and bridges business and technology by accessing, profiling, and analyzing data; understanding and documenting business requirements; and communicating with technical and business stakeholders. The position requires the ability to work independently and collaboratively, take initiative, solve problems, learn new concepts, and adapt to changing priorities.

Requirements

  • Minimum 2–3 years of related experience.
  • Bachelor’s degree or equivalent experience; a bachelor’s degree is preferred.
  • Solid grasp of data management processes and standard methodologies.
  • Ability to independently write and execute SQL queries for data profiling and analysis, including complex joins, subqueries, and common table expressions (CTEs).
  • Ability to work effectively in a fast-paced environment and adapt to shifting priorities.
  • Strong analytical, initiative, and problem-solving skills.
  • Ability to work independently and collaboratively and communicate clearly with technical and business stakeholders.

Nice To Haves

  • Experience in management consulting, banking, capital markets, or financial operations.
  • Working knowledge of logical data modeling and relational database design.
  • Familiarity with business architecture frameworks and concepts.

Responsibilities

  • Own assigned project deliverables from engagement through execution and close-out, managing scope, dependencies, and delivery outcomes.
  • Take initiative, apply problem-solving skills, and research and learn new concepts to contribute effectively in a fast-paced, evolving environment.
  • Collaborate with business, operations, and technology teams to elicit requirements.
  • Partner with Product Owners and stakeholders to scope data management deliverables and translate business needs into actionable user stories.
  • Conduct preliminary data analysis for new initiatives, assess data availability, identify authoritative data sources, and define approaches for onboarding new or enhanced data.
  • Use SQL to perform data analysis, validation, lineage analysis, and issue investigation across enterprise data sources in support of requirements, data quality, and decision-making.
  • Work with business and operational partners to define and document business data elements, including standardized names, definitions, and valid values.
  • Support data modelers with business context, data analysis, and source-system insight for conceptual and logical data models.
  • Maintain required metadata for critical and prioritized data elements in the enterprise metadata repository.
  • Support data quality by profiling data, defining quality and validation rules, performing root-cause analysis, and driving 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 clear, impactful presentations for stakeholders and leadership, tailored to their audience and decision-making needs.
  • Participate significantly in agile squads as part of the Data Management team.
  • Mitigate risk by adhering to established controls, identifying issues early, and demonstrating ethical judgment.

Benefits

  • Competitive compensation, including base pay and annual incentive.
  • Comprehensive health and life insurance and well-being benefits, based on location.
  • Pension and retirement benefits.
  • Paid time off, personal/family care, and other leaves of absence.
  • Flexible/hybrid work model with three days onsite and two days remote.
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