Data Steward

The Role

Due to team development needs, we are looking for a Senior Data Steward. The ideal candidate should possess robust data analysis capabilities, be able to efficiently complete KPI targets, drive intelligent data applications, explore cutting-edge applications of AI and automation tools in data management, and be highly passionate about dedicating themselves to the life sciences industry.

What You’ll Do

• Multi-source Information Collection & Management: Collect customer information through various channels such as phone and the internet; responsible for data entry, organization, verification, and regular updates to ensure the accuracy of underlying data
• Data Metric Delivery & Alignment: Efficiently achieve multi-dimensional data metric targets in terms of time, quantity, and quality; prepare and deliver relevant business reports and data statements on time, and flexibly undertake ad-hoc tasks
• Efficiency Improvement & Automation: Identify business pain points throughout the entire process and utilize technical tools to achieve automation of tasks and workflows
• Report Preparation & Analysis: Utilize automated reporting tools to submit relevant documents or reports internally and externally, and coordinate cross-departmental communication and collaboration

Requirements

• Bachelor’s degree or above
• 1+ years of relevant working experience, familiar with data analysis and reporting tools (e.g., PowerBI)
• Proficient in office software, such as Excel, PowerPoint, and Excel formulas
• Master Python scripting with proven experience in implementing automated data processing tasks
• Familiar with SQL and relational databases (e.g., MySQL, Oracle)
• Strong team spirit, pioneering and innovative mind, highly responsible, and excellent execution capabilities
• Ability to learn and summarize independently, with agile and clear thinking

Nice to Have

• Experience in Call Centers, the pharmaceutical industry, or software development is preferred
• English proficiency of CET-6 or above is preferred
• Experience in project management, data processing, or data analysis is preferred