Data Analyst

Job summary
Working closely with business end-users, market data sourcing team data owners, data stewards, and data analysts to plan, implement, and support metadata capture, cataloguing and maintenance. Demonstrate technical expertise in the aforementioned areas related to metadata and market data. Manage operations and maintain SLAs.
Job seniority: mid-to-senior level
Responsibilities
• Implement automation in metadata collection. • Collaborate with data management, engineering, architecture, and governance teams. • Perform data and metadata onboarding, quality, modeling, lineage, and cleansing. • Check discoverability, access controls, optimization, and cataloguing. • Execute, maintain, and manage the whole metadata lifecycle. • Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into strategies, plans, and actions. • Design and implement scalable metadata-related 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. • Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency, etc.) to identify actionable trends for continual improvements. • Perform data, application, and system checking and testing (e.g. UAT), application of 'Continuous integration and Continuous Delivery' (CICD) and go-live.
Requirements
• Bachelor degree from a recognized tertiary institution. • At least 3 years of data-related working experience. • Proficiency in SQL. • Good at working with details and is meticulous in operations and tasks. • Good team player, with strong analytical skills and enjoy complex problem solving. • Excellent written and verbal communication skills in English. • Strong interpersonal and people leadership skills to interact with diverse stakeholders. • Strong presentation skills.
Key Skills Needed
• Principles, key controls, and processes relating to data, metadata, and collection. • Data catalogue systems and associated workflow. • Knowledge in Snowflake, AWS, and Informatica. • Experience in Jira, Python, Scala, and JavaScript. • Experience in working with market data contracts from data vendors and capturing contract specific information.