Description
We are seeking a hands-on Manager, Performance Analytics & Insights to join our Global Commercial Analytics (GCA) team, specifically within Performance Analytics and Insights (PAI).
As a Manager, Performance Analytics & Insights, you will be responsible for developing robust analytical solutions, evaluating commercial performance, and generating actionable insights that support business decision-making.
Technical Development & Analytics Solutions
- Design, develop, and maintain scalable analytics solutions using SQL, Python, R, and related technologies.
- Build, optimize, and automate datasets, data pipelines, and reporting frameworks to support commercial performance measurement.
- Engineer and integrate data from multiple internal and external sources to create robust analytical datasets.
- Develop and maintain high-quality analytical assets, including dashboards, reporting tools, and reusable code libraries.
- Improve performance, reliability, and scalability of existing analytics workflows through automation and process optimization.
- Leverage AI, scripting, and emerging analytical technologies to increase efficiency and analytical capabilities.
Analysis & Insight Generation
- Perform advanced analyses on patient, HCP, payer, and commercial datasets to identify trends, opportunities, and risks.
- Apply statistical, quantitative, and machine learning techniques to solve business problems and generate actionable insights.
- Conduct data quality assessments, validation, and troubleshooting to ensure accuracy and consistency of analytical outputs.
- Translate complex analytical findings into clear insights supported by quantitative evidence.
Collaboration & Partnership
- Partner closely with US-based PAI colleagues as the primary point of collaboration, supporting shared analytics priorities and delivering against team-defined requirements.
- Translate information needs surfaced by PAI leads into robust analytical solutions, connecting datasets to tell a clear, compelling story backed by quantitative evidence.
- Work with PAI and broader analytic functions to advance the use of novel data sources and improve reporting processes, tools, and standards.
Basic Qualifications
- Bachelor’s degree in engineering, analytics, statistics, mathematics, computer science, information systems, business, or a related quantitative field.
- 5+ years of relevant professional experience in analytics, business intelligence, data analysis, or a related technical analytical role.
- Strong hands-on proficiency in SQL, Python, or R, including the ability to independently develop, troubleshoot, and optimize analytical code for data extraction, transformation, integration, and analysis.
- Advanced professional English proficiency, both written and verbal, with the ability to independently collaborate with U.S.-based stakeholders, discuss technical concepts, and communicate analytical findings clearly.
- Demonstrated experience integrating and transforming data from multiple sources to develop accurate, reliable analytical datasets.
- Ability to understand, modify, and improve existing analytical code, calculations, and reporting workflows.
- Ability to translate business requirements into structured analytical approaches and independently deliver high-quality analytical solutions.
Preferred Qualifications
- Experience in pharmaceutical, healthcare, or commercial analytics.
- Understanding of commercial performance metrics, including sales, market access, patient journey, or field force KPIs.
- Experience supporting U.S. or global commercial organizations, preferably within international or nearshore analytics teams.
- Experience developing, optimizing, or troubleshooting data pipelines, ETL processes, or automated analytical workflows.
- Demonstrated contributions to improved analytical efficiency, cost reduction, reporting automation, or faster business decision-making.