Overview
A global leader in the collection and processing of high-quality plasma is seeking a skilled data analyst to support critical business financial decisions. This organization operates a large network of advanced donation centers focused on developing life-saving plasma-based therapies.
Responsibilities
- Lead end-to-end data analysis to guide key financial decisions.
- Evaluate pricing performance by identifying drivers, risks, and opportunities.
- Support pricing and forecasting initiatives through advanced data analysis, automation, and A/B testing.
- Develop machine learning models to address complex data challenges and improve operational insights.
- Manage the experimentation lifecycle from design through analysis and scale successful strategies.
- Enhance team capabilities by establishing best practices in analytics, code quality, and data storytelling.
Requirements
- Bachelor's degree in Economics, Statistics, Computer Science, Engineering, Data Science, or a related quantitative field; Master's degree preferred.
- Minimum of 5 years of experience in analytics, pricing, strategy, or forecasting with proven impact.
- Strong knowledge of statistics and experimentation methods, including hypothesis testing, regression, and experimental design.
- Hands-on experience with PySpark, Python, SQL, and business intelligence tools such as Power BI or Tableau.
- Advanced proficiency in Excel for rapid data analysis.
- Ability to translate complex technical findings into clear, actionable business insights.
Compensation & Benefits
- Autonomy to influence strategic financial decisions.
- Opportunities to collaborate with senior leadership and cross-functional teams.
- Direct impact on improving patient lives through plasma-based therapies.
- Comprehensive benefits package.
Location
Information about the location was not provided.