Data Transformation Analyst

Education and experience:

• A Graduate, PG degree or CFA Candidate
• 0-2 years experience with an understanding of equity market operations Financial subjects at undergraduate or graduate level preferred
• Knowledge of Corporate Actions is preferred
• Knowledge of Excel, Python, SQL, and VBA will be an added advantage Commercial awareness
• Keen interest in financial news, market events, and their implications
• Knowledge of financial statement analysis
• Strong Inclination to make a career in data analytics
• Commercial awareness-Must have a strong interest in finance and be up to date with current global financial market news.

Personal competencies:

• Personal impact-The candidate must be a self-starter, able to take on multiple tasks at a time, hardworking, and efficient
• Excellent attention to detail and a meticulous eye for identifying inconsistencies or inaccuracies in data entry or data outputs
• Communication-Must demonstrate superior communication skills and is expected to interact professionally across business units within the company
• Teamwork-Being a team player is a vital aspect of the position, and it is expected that the candidate will work well individually, as well as in a global team environment.
• Works collaboratively with others to achieve group goals and objectives

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