Data Analyst

Job Description / Requirements / Skills:

• Degree in a data-related discipline such as Computer Science, Information Technology, Data Science, Finance, or a related field.
• Strong understanding of financial markets data.
• Strong understanding of how data is stored in a relational database.
• Knowledge of leading data management trends and practices within the financial industry, approaches to data quality and business-technology issues related to data.
• Excellent analytical, communication, and problem-solving skills.
• Ability to work independently and as part of a team.
• Strong documentation skills.
• Keen understanding of Python and SQL is a must.
• Experience in providing support for Enterprise data products is a plus.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data quality, onboarding, registration, discoverability, access controls, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, actions.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.