BeiGene logo
BeiGene

BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.

Summer Internship: Business Intelligence and Reporting Intern

Business Intelligence AnalystBusiness Intelligence AnalystOtherRemoteEntry LevelTeam 2,862Since 2010Company Site

Location

United States

Posted

86 days ago

Salary

0

Seniority

Entry Level

No structured requirement data.

Job Description

Summer Internship: Business Intelligence and Reporting Intern

BeiGene

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 Inclusively - Demonstrates Initiative - Entrepreneurial Mindset - Continuous Learning - Embraces Change - Results-Oriented - Analytical Thinking/Data Analysis - Financial Excellence - Communicates with Clarity Salary Range: $ - $ per hourBeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan. The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness. We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.

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Business Intelligence Analyst Reports To: Managing Director Salary Range: $85,000–$110,000 per year Location: New York / Remote About KC3 KC3 is an M/WBE and B Corp–certified consulting firm working at the intersection of energy, housing, and equity. We partner with local government, utilities, nonprofits, and the private sector to connect disinvested communities to clean, affordable energy. Our work centers on: - Expanding energy efficiency and decarbonization in affordable housing - Strengthening climate resilience in frontline communities - Preserving housing through smart energy investments - Creating pathways into the clean energy economy for New Yorkers Climate solutions must work for the people most impacted—and that requires strong systems behind the scenes. 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