1. Support data management and data quality improvement
Monitor data quality, validate datasets, and support corrective actions when issues arise
Assist with Account information updates and Account-level segmentation including supporting Account Mapping processes
Collect, clean, and organize public external market data
Utilize AI-driven tools for data cleaning, tagging, and text normalization
Build simple automation scripts to improve data processing efficiency
2. Support the operation and management of the Market Analytics Platform
Support the operation and maintenance of Market Analytics Platforms
Manage data source connections, refresh schedules, and monitor system errors
Support dashboard stability, performance optimization, and troubleshooting issues
Support on-demand dashboard updates or simple dashboard development requests from commercial divisions.
3. Support business analysis
Conduct basic on-demand data extraction and analysis
Prepare datasets, create simple summaries, and support insight generation
Use AI tools to summarize market reports, identify signals in large text datasets, and enhance research efficiency
Requirements
Bachelor’s degree in business, Statistics, Life Sciences, Data Science, or related fields
1+ year of experience in data analytics, business analytics, business intelligence or related roles; high learning agility candidates without prior experience may also be considered.
Ability to work with BI tools (e.g., Power BI, Tableau)
Basic working knowledge of Python, SQL, or R
Proficient in MS office
Qualification
Strong problem-solving mindset with the ability to identify and resolve data inconsistencies
Effective communication and collaboration skills across teams
Fast learner with curiosity toward new analytical and AI technologies
Preferred Qualifications
Experience with business analytics or market research projects
Experience in data preparation (cleaning, transformation, validation)
Exposure to machine learning projects
Understanding of Life Science or Healthcare markets
Experience working with Salesforce or ERP-related data
Experience using digital tools for data analysis, research, or documentation
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