Data Analyst (Capital Markets)

Job Summary

Positive attitude and a good team player.
Good verbal and written communication.
6 to 10 years of hands-on Data Modelling experience with knowledge of different data modelling schemas (snowflake, star hybrid, and different types of tables: fact, dimension, etc.).
Sound understanding of capital markets business transactions, trade life cycle, participants, brokers, custodians, investors, CCPs, etc., and associated risks (market risk, credit risk, op risk, liquidity risk, etc.).
Highly skilled Data Analyst who can profile data using SQL and/or spreadsheets.
Strong in SQL.
Works closely with varied stakeholders, users, change managers, project managers, architects, and developers to translate business requirements into functional requirements and data mapping.

Requirements

• 6 to 10 years of hands-on Data Modelling experience with knowledge of different data modelling schemas (snowflake, star hybrid, and different types of tables: fact, dimension, etc.).
• A sound understanding of capital markets business transactions, trade life cycle, participants, brokers, custodians, investors, CCPs, etc., and associated risks (market risk, credit risk, op risk, liquidity risk, etc.).
• A highly skilled Data Analyst who can profile data using SQL and/or spreadsheets.
• Strong in SQL.
• Works closely with varied stakeholders, users, change managers, project managers, architects, and developers to translate business requirements into functional requirements and data mapping.