Data Analyst (Ownership Intelligence)

Job Summary: Data Analyst is part of the Global Ownership Intelligence (OI) team providing Shareholder Identification (ID) reports.  Research skills, good written and partially verbal communication skills are required, in conjunction with the ability to accurately summarize detailed analysis with relevant points for Shareholder ID presentations.

Position Responsibilities and Essential Functions:

• Hands-on experience in preparing shareholder ID reports is required

• Prepare the end-to-end client shareholder ID reports, including data collection, analysis and final report generation, ensuring accuracy and timely delivery

• Coordination with global teams, providing status updates on all project stages

• Identifies a company’s Institutional shareholders through extensive research and analysis of information made available by the bank/broker community, investment manager community and publicly available documents, in accordance with the most detailed instructions, procedures and manuals

• Conduct a share registry analysis towards a multiple listed stock exchanges

• Contribute in the review of operational processes and identify areas for continued improvement

• Be able to work effectively and efficiently on various projects

• Utilize research tools such as Bloomberg, Internet and additional databases

• Be able to work independently on projects while sharing new information with the team

• Be able to respond to client queries

• Be able to undertake ad hoc tasks. Carry out additional responsibilities as assigned on as-needed basis or assisting other teams with projects

Skills:

• Good understanding of global financial markets, including trends, regulations, and key players
• Strong analytical, good with numbers and problem-solving skills
• Proficient in financial analysis software and tools, such as Eikon, FactSet and Bloomberg
• Ability to work independently and as part of a team
• Strong organizational and time management skills
• Enhanced MS Office knowledge, in particular MS Excel
• Willing to work on EMEA or AMER shift, when assigned
• Detail Oriented, Deadline driven, Initiative, Pro-active
• Communication skills – verbal and written
• Knowledge in Power BI would be an advantage, but not required