Data Analyst

We are looking to onboard a Data Analyst who speaks both Mandarin and English. The ideal candidate should be collaborative, organized, think out of the box, and be ready to pursue new opportunities. Most importantly, this role is for someone passionate about making a difference in healthcare.

Responsibilities

• Possess healthcare domain knowledge
• Execute regional use cases relevant to the healthcare industry
• Continuously build and improve dashboards for cross-channel marketing and sales
• Generate insights across customers, products, and countries through large dataset analysis and visualization
• Support multiple products and project streams, ensuring timely and high-quality delivery
• Collaborate with clients or the Business Development Team to support analytics goals and drive client engagement
• Assist Business Development with pre-sales and post-sales data execution
• Innovate using Data Science and Analytics methodologies to solve emerging challenges

Core Skills

• Issue Resolution: Address technical/data issues across platforms promptly
• Seamless Integration: Work with vendors to resolve system integration issues
• Stakeholder Collaboration: Improve system processes in line with business goals
• Continuous Improvement: Evaluate and implement new tools to improve user experience
• User Training: Deliver technical training tailored to end-user needs
• Data Analysis:
• Conduct in-depth performance analysis for strategic presentations
• Use predictive analytics for sales forecasting
• Support business development through market data analysis

Requirements

• Bachelor’s degree in a highly analytical/numerical subject or equivalent experience
• 3–5 years of experience in data analytics, consulting, or the pharmaceutical industry
• Experience in:
• Data modeling, cleansing, and schema management
• Predictive modeling and segmentation techniques
• Client-facing project management and teamwork
• Strong business acumen and communication skills
• Knowledge of Google Cloud and related analytics tools
• Strong command of data storytelling (PowerPoint, Word, etc.)
• Experience in building data products and services
• Proficiency in SQL, Python, or similar analytical tools
• Hands-on experience with data visualization tools such as Power BI, Tableau, or Looker

Preferred Technical Skills:

• Google Cloud: BigQuery, Dataform, Looker, Vertex AI
• Azure Stack: Power BI
• Programming: SQL, Python