Business Data Analyst

Qualifications

• At least 3+ years of experience.
• Proficient in Python and SQL (both mandatory)
• Demonstrates strong knowledge of Pandas, with extensive hands‑on usage
• Involved in both business analysis and development tasks using Python P ossesses intermediate Python skills with relevant scripting experience
• Responsible for monitoring and executing Python applications

Full JD

• Possess a degree in Computer Science, Engineering, or relevant technical discipline.
• At least 3 years of relevant experience in data solutioning, process re‑engineering, and digital product development .
• Exposure to financial services industry is preferred, and experience in private markets is advantageous .
• Possess knowledge and strong passion in data governance, data quality, and data management .
• Good engineering experience and practices in SQL, and /or any relational database/warehouse (e.g. Postgres, Oracle, Snowflake, Python/Pandas/DBT/PySpark).
• Ability to engage with businessto understand business needs and translating them into data solutions.
• Excellent communication and interpersonal skills, with the ability to build relationships and workeffectively with diverse stakeholders.
• Ability to manage multiple priorities and meet deadlines in a fast‑paced environment.
• Possess strong learning agility, self-driven, pro‑active, and great sense of purpose to relook onexisting data usage.
• Comfortable in attaining new skills through use of new technology tools and systems.
• Good team player, with strong analytical skills and enjoy complex problem‑solving.