Architecture Lead Data Analyst Vice President

Citi • New York, NY

9d

About The Position

Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Perform data analysis, data quality and data reconciliation checks, understand data requirements. Identify key data elements, discover gaps in data requirements, identify data in different systems and work with other teams to discover opportunities to enrich data quality and performance improvement. Identify opportunities for operational efficiency and improvements of data related projects. Engage with Business, Ops, Finance, and Technology teams to understand business drivers, gaps, and pain points in current state. Develop key design principles and maintain design conformance in the execution of data architecture across legacy and target state applications covering data definitions, sourcing, consumption, transformation, and storage. Define / improve logical data models, identify issues with data in transit, and codify logical, physical models in central data catalogue. Guides, influences and persuades others with developed communication and diplomacy skills. Performs other job duties and functions as assigned Experience in supporting data architecture, data lineage, data integration, data governance, data life cycle management, data quality, and data strategy. 6+ years relevant experience. Experience in supporting data architecture, data lineage, data integration, data governance, data life cycle management, data quality, and data strategy. Demonstrable experience with SQL, Oracle, Postgres DB, Tableau and other data management tools. Consistently demonstrates clear and concise written and verbal communication. Management and prioritization skills. Ability to develop working relationships. Ability to manage multiple activities and changing priorities. Ability to work under pressure and to meet tight deadlines. Self-starter with ability to take the initiative and master new tasks quickly Methodical, attention to detail. Bachelor's/University degree or equivalent experience

Requirements

• Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
• Provides advice and counsel related to the technology or operations of the business.
• Experience in supporting data architecture, data lineage, data integration, data governance, data life cycle management, data quality, and data strategy.
• 6+ years relevant experience.
• Demonstrable experience with SQL, Oracle, Postgres DB, Tableau and other data management tools.
• Consistently demonstrates clear and concise written and verbal communication.
• Management and prioritization skills.
• Ability to develop working relationships.
• Ability to manage multiple activities and changing priorities.
• Ability to work under pressure and to meet tight deadlines.
• Self-starter with ability to take the initiative and master new tasks quickly
• Methodical, attention to detail.
• Bachelor's/University degree or equivalent experience

Responsibilities

• Perform data analysis, data quality and data reconciliation checks, understand data requirements.
• Identify key data elements, discover gaps in data requirements, identify data in different systems and work with other teams to discover opportunities to enrich data quality and performance improvement.
• Identify opportunities for operational efficiency and improvements of data related projects.
• Engage with Business, Ops, Finance, and Technology teams to understand business drivers, gaps, and pain points in current state.
• Develop key design principles and maintain design conformance in the execution of data architecture across legacy and target state applications covering data definitions, sourcing, consumption, transformation, and storage.
• Define / improve logical data models, identify issues with data in transit, and codify logical, physical models in central data catalogue.
• Performs other job duties and functions as assigned

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level