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Detailed Job Description:

Manages a small to medium-sized team responsible for the design and development of the corporate information bank. Manages analysis of application data requirements for new and enhanced data processing applications and the development of conceptual and logical models of the data as a prerequisite for physical database design. Manages the analysis and design of data models and logical databases at the data element level consistent with the corporate architectural models. Coordinates the logical design of databases to promote data sharing and to reduce redundant data processes across multiple computing environments (e. g., host based, client server, distributed systems, Web, e-commerce). Manages the identification and analysis of corporate-wide information flows and interfaces between business processes to develop logical database designs, detailed data models and relational database designs. Establishes and maintains standards for defining, naming, and creating data elements. Provides comprehensive consulting to client and IT management and staff in the identification and resolution of information flow and content issues. Participates in the recruiting process; instructs, assigns, directs and reviews the work of other data analysts; prepares performance reviews and provides ongoing feedback. Manages a data modeling/warehousing team. Contributes to the achievement of team objectives. Advanced degree in computer science or a related discipline, or equivalent work experience required. 8+ years of experience in all phases of data modeling, data warehousing, data mining, data entity analysis, logical database design and relational database definition, or an equivalent combination of education and work experience required; experience in the securities or financial services industry is a plus.

Required Skills:

7+ years of experience. Anything less is considered too junior for this team. SQL, ETL, Python and/or any other data analytical skill like R etc. Should have experience in Data Analysis and Exploration, Data Cleansing and preparation, Creating data visualizations, Domain knowledge (FinTech preferred, others fine as well as long as the candidate is good in other data analytical skills). Good communication skills. Any experience in compliance will be a plus.