Summer Internship: Business Intelligence and Reporting Intern
BeiGeneAbout the role
BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.
Internship Program dates: June 8 - August 21, 2026
Education Required: Currently enrolled in a Masters or Ph.D. Program in Data Science, Computer Science, Analytics, Engineering, or a related field
General Description:
The GCMT Data and Analytics Internship offers hands-on experience in data visualization, data quality checks, and reporting using SQL, Alteryx and Dataiku. Interns will support the creation of data analytics layers, implement data quality monitoring within pipelines, and collaborate with stakeholders to understand key metrics. A structured learning curriculum will provide exposure to pharma commercial data and its real-world applications.
Essential Functions of the Job:
1. Semantic Layer Development for LLM Enablement
Design and develop a structured semantic layer to support LLM ingestion and downstream analytics use cases
Translate existing business logic into standardized semantic models
Ensure consistent metric definitions, hierarchies, and dimensional modeling
Collaborate with technical teams to align semantic structures with data architecture standards
2. Business Logic Translation & Documentation
Work cross-functionally with business stakeholders to understand and capture business rules
Convert business rules into structured, traceable logic within the semantic layer
Document definitions, assumptions, transformation logic, and data lineage
Maintain version control and governance documentation for metric definitions
3. Data Quality & Governance
Develop and support data quality checks and validation processes
Identify data inconsistencies, gaps, and anomalies
Partner with data engineering teams to resolve data integrity issues
Support continuous improvement of data governance practices
4. Analytics & Reporting Support
Assist in building and maintaining analytics-ready datasets
Support dashboard development and data visualization initiatives
Ensure alignment between semantic definitions and reporting outputs
Help validate KPI calculations and reporting accuracy
5. Cross-Functional Collaboration
Partner with business, analytics, data engineering, and reporting teams
Participate in requirement gathering sessions
Communicate technical concepts clearly to non-technical stakeholders
Support alignment across teams on standardized metric definitions
Experience And Skills:
Currently pursuing a degree in Data Science, Computer Science, Analytics, Engineering, or a related field
Proficiency with Alteryx, Dataiku, or similar data preparation and workflow tools
Solid understanding of SQL with hands-on experience using relational databases such as Redshift
and/or PostgreSQL
2–4 years of industry experience preferred; experience in pharma or biotech consulting is a plus
Strong problem-solving and analytical skills, with attention to detail
Excellent communication, collaboration, and interpersonal skills
Ability to work both independently and effectively in team environments
Experience working with cloud platforms (e.g., AWS, Azure)
Familiarity with Agile methodologies and iterative development processes
Strong understanding of ETL processes and data pipeline best practices
Computer Skills: SQL, MS Office
Other Qualifications: SQL, Redshift, Altryx, Dataiku, ETL, DBT
Pay Rates:
Masters: $30/hour USD
PhD: $35/hour USD
Global Competencies
When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.
- Fosters Teamwork
- Provides and Solicits Honest and Actionable Feedback
- Self-Awareness
- Acts Inclusi
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