Data Science & Business Analyst Expert
Pubblicato il 14-09-2026 - Merck in Latina
OverviewAs a Data Science & Business Analyst Expert, you turn complex data into actionable insights to accelerate development and optimize commercial strategies.
You will build and maintain dashboards to communicate KPIs across functions, lead data management, and evaluate new AI tools to streamline operations.
This role sits in Commercial Excellence and partners across Market Access, Medical Affairs, and IT to drive a competitive edge in pharma.
Your work shapes decision-making and strategic planning in a global healthcare context.
Retribuzione / BenefitsAnnual base salary: 50,******,000 (RAL)
Variable compensation (AIP)
Welfare and Benefits Package
Inclusive and flexible working culture
Global collaboration opportunities
Career development and growth
ResponsabilitàGenerate actionable insights from exploratory data analysis and predictive modeling to support development and commercial decisions
Design, build, and maintain interactive dashboards communicating KPIs for cross-functional audiences
Lead data management initiatives and evaluate emerging AI/analytics tools to improve efficiency
Apply advanced analytics and ML algorithms to optimize processes and strategies in pharmaceutical markets
Collaborate with stakeholders across Market Access, Medical Affairs, and IT to translate data into clear business implications
Ensure data quality, governance, and reproducibility across datasets and analyses
Requisiti fondamentali5+ years of experience in data science or analytics, preferably in pharma or healthcare
Proficiency in Python, R, and SQL
Experience with predictive machine learning algorithms
Expertise in Tableau or Power BI for dashboards
Strong skills in exploratory data analysis and predictive modeling
Cross-functional collaboration and ability to translate data for stakeholders
Curious, continuous learner focused on adopting advanced technologies
Cross-functional collaboration
Effective communication of data insights to non-technical stakeholders
Curiosity and continuous learning mindset
Python
R
SQL