Director, Data Analysis

Position

Description:

data analysis using the Informatica Data Catalog tool. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by developing complex, multi-faceted software applications. Research and recommend

Primary Responsibilities:

Collaborates with business and technology partners to understand requirements, identify data gaps, and recommend strategic solutions across the domain.

Evaluates objectives, use cases, data requirements, and specifications created by other analysts.

Leads sessions to define requirements, business terms, and logical data models.

Education and Experience:

Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Analysis (or closely related occupation) performing data analysis and data modeling in the financial services environment, using Tableau, Power BI, and Or, alternatively, Master’s degree in Computer Science, Computer Applications, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Analysis (or closely related occupation) performing data analysis and data modeling in a financial services environment, using Tableau, Power BI, and Power Designer.

Skills and Knowledge:
Demonstrated Expertise (“DE”) performing data analytics for business users based on requirements using SQL analytical functions and Informatica EDC (Enterprise Data Catalog); creating and implementing data quality checks to ensure the accuracy of data for business use using Informatica EDQ; and providing data support to data engineering teams during production implementation. DE creating Entity-Relational (ER) Data Models and Data Warehouse (DW) Data Models-conceptual models (to be presented to information architects), logical models (for business stakeholders), and physical data models (to be implemented in databases);

proposing, designing, and implementing ER entity relationship or DW models based on business requirements; creating conceptual, logical, and physical data models using SAP Power Designer; and generating DDLs (Data Definition Language) for physical implementation of tables using SAP  acting as the liaison between business and technology partners to translate business requirements into technical design solutions; creating business requirement documents in Microsoft Word to document requests from business partners and define the technical components of work to be done by data engineering teams;

and collaborating with technology partners to analyze data and create a Source-To-Target (STM) mapping document using TOAD in MS Excel.
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