Business Analyst, Advanced Analytics

Who is USP?

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world’s leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide.

At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health.

USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds—regardless of background—to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment.

The Data Strategy and Analytics team at USP is seeking a highly skilled Business Analyst to join our advanced analytics team. This role focuses on investigating business problems, developing and testing hypotheses, and leveraging data to generate actionable insights. The successful candidate will work cross-functionally with internal stakeholders and business strategists, presenting findings to senior leadership to inform strategic decisions.

• Business acumen and strategic mindset.
• Analytical thinking and problem-solving.
• Data storytelling and visualization.
• Collaboration and stakeholder management.
• Data handling and wrangling skills.

As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards.

Additionally, USP’s People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments.

Responsibilities:

• Analyze existing business processes and identify opportunities for improvement through data-driven insights.
• Develop and test hypotheses to address complex business challenges.
• Perform descriptive and diagnostic analytics using company and industry data.
• Create compelling data visualizations and dashboards using Tableau.
• Present findings and recommendations to senior leadership and business stakeholders.
• Collaborate with data scientists, data engineers, and IT team to ensure project delivery.
• Collaborate with cross-functional teams to ensure alignment and actionable outcomes.

The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience:

• Bachelor’s degree in Business, Analytics, or related field.
• Minimum 4 years of experience in business analytics or business reporting.
• Intermediate SQL skills, including joins, unions, and aggregations.
• Basic Python skills for data wrangling, exploratory…