DTCC is looking to modernize and transform its enterprise data, requiring clarity and transparency around data assets and the implementation of industry-leading data management practices.
Requirements
- Knowledge of data management processes and standard methodologies
- Proficiency with Microsoft Office tools required; experience with data management tools (e.g. Collibra), and business process tools (e.g. Mega HOPEX) preferred
- Basic technical Skills required, such as the ability to profile data using SQL queries; basic understanding of Logical Data Modeling and Database design is a plus
Responsibilities
- Participate in preliminary data analysis for new projects to determine whether required data exists within DTCC; identify and document authoritative sources for existing data; define onboarding plans for new data
- Collaborate with business and operational partners to comprehensively analyze data to produce business data element names, document clear and accurate data element descriptions, and identify valid values for the data
- Actively engage with domain experts across various business lines to understand and document business requirements for data and to integrate data with process flows
- Assist data modelers in producing conceptual and logical data models, including entity and attribute names and definitions
- Use the enterprise metadata repository to input and handle required metadata for critical and prioritized data elements in support of data management initiatives and enterprise-wide data efforts
- Support data quality through data profiling, defining and documenting data quality and data validation rules, performing root cause analysis for identified data quality issues, and supporting data cleansing efforts to ensure that data is fit for its intended use
- Develop and deliver clear and concise, high-quality presentations to partners and leadership that provide the appropriate level of detail for the intended audience
Other
- Minimum of 2 years of related experience
- Bachelor's degree preferred or equivalent experience
- Strong written and verbal communication skills
- Strong analytical and quantitative skills
- Intellectual curiosity, problem solving skills, and a desire to learn
