Ld. Data Mgmt Anlyst
Company Name:-
BNY Mellon
Job Location:-
Pune, Maharashtra
Job Summary:-
Analyzes application requirements and develops conceptual, logical and first-cut physical database designs (data models).
Creates associated data model documentation such as entity and attribute definitions and formats.
Assists in logical data designs to deliver stable and flexible high performance data solutions.
Investigates and corrects data discrepancies by reconciling faulty codes.
Provides data element naming consistent with standards and conventions and ensures that data dictionaries are maintained across multiple database environments (mainframe, distributed systems).
Ensures data content/quality by planning and conducting moderately complex data warehouse system tests, monitoring test results and taking required corrective action.
Acts as a liaison to data owners to establish necessary data stewardship responsibilities (accountability for a particular data element/verifying accuracy of the data element before loading it into the database) and procedures.
Analyzes and designs data models, logical databases and relational database definitions using both forward and backward engineering techniques.
Seeks opportunities to promote data sharing, and to reduce redundant data processes within the corporation by identifying common structures across application areas.
Contributes to the achievement of related teams’ objectives.
Bachelor’s degree in computer science or a related discipline, or equivalent work experience required.
4-6 years of experience in data modeling, data warehousing, data entity analysis, logical and relational database design, or an equivalent combination of education and work experience required, experience in the securities or financial services industry is a plus.
Qualifications
Analyzes application requirements and develops conceptual, logical and first-cut physical database designs (data models).
Creates associated data model documentation such as entity and attribute definitions and formats.
Assists in logical data designs to deliver stable and flexible high performance data solutions.
Investigates and corrects data discrepancies by reconciling faulty codes.
Provides data element naming consistent with standards and conventions and ensures that data dictionaries are maintained across
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