Senior Business Analyst

Praxis Precision Medicines is a clinical-stage biopharmaceutical company developing therapies for central nervous system disorders. The Senior Business Analyst will translate complex business questions into actionable insights, analyze commercial and healthcare data, and create dashboards and presentations to support decision-making. The role will also drive analytics, process improvement, automation, and cross-functional initiatives across commercial and clinical operations.

Responsibilities:

• Partner with cross-functional teams to translate complex business questions into actionable insights, clear recommendations, and informed decisions
• Analyze claims, prescription, patient services, specialty pharmacy, sales, marketing, and other data sources to uncover trends, explain performance, and identify opportunities
• Develop compelling dashboards, visualizations, and presentations that connect data to business priorities and drive action
• Support patient journey analytics, segmentation, campaign measurement, field effectiveness, and other evolving commercial priorities
• Identify opportunities to automate recurring analyses, simplify reporting, expand self-service capabilities, and leverage AI and emerging technologies to improve speed and effectiveness
• Tackle evolving business challenges across commercial and clinical operations, including process improvement, cross-functional coordination, and hands-on execution
• Take ownership of initiatives from problem definition through execution, proactively addressing roadblocks and delivering measurable results

Requirements:

• Bachelor's degree in a quantitative, analytical, business, or related discipline, or equivalent relevant experience
• 3–5 years of experience in commercial analytics, business analytics, or a related analytical function, preferably within pharmaceuticals, biotechnology, or healthcare
• Familiarity with commercial and healthcare data, including claims, prescription, patient services, specialty pharmacy, sales, or marketing data
• Proficiency with data analytics and visualization tools, with an interest in leveraging AI, automation, and emerging technologies to solve business challenges
• Strong analytical and problem-solving skills, with the ability to translate ambiguous business questions into structured analyses and actionable recommendations
• Ability to communicate complex findings clearly and effectively to technical and nontechnical stakeholders
• Demonstrated resourcefulness, adaptability, and willingness to take on unfamiliar challenges in a fast-paced, evolving environment
• Strong ownership mindset, attention to detail, and ability to manage competing priorities while delivering high-quality results
• Natural curiosity, collaborative approach, and willingness to challenge assumptions, share candid feedback, and continuously improve how work gets done