Brand Analytics

In this role, you will coordinate the understanding and integration of various datasets and design analytical solutions to support critical business needs, including business opportunity assessments, customer segmentation and targeting, HCP and patient opportunity identification, patient and prospective analytics, smart business experiments (test and learn), market simulations, and patient flow modeling. You will work closely with cross-functional stakeholders including Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations teams.

Strong analytical skills must be complemented by excellent communication and collaboration abilities. The ideal candidate will have a demonstrated track record of influencing key business decisions through impactful insights. You will also be expected to continuously evaluate and adopt new quantitative methods and technologies to improve analytical capabilities across the organization.

Essential Qualifications

A bachelors degree in a quantitative field such as Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, or Data Science is required; an advanced degree (Masters, MBA, or PhD) is preferred. Candidates should have at least 3 years of experience applying advanced statistical methods to large, complex datasets. Proficiency in PySpark, Python, R, and SQL is essential, along with familiarity in data visualization tools such as PowerBI, MicroStrategy, Tableau, QlikView, or D3.js. Experience working on platforms like Databricks and with IQVIA datasets is highly valued. Strong Excel and PowerPoint skills, along with a background in statistical modeling and machine learning, are a plus. The role requires the ability to extract and communicate key insights, along with excellent organizational and time management capabilities.

Desirable Qualifications

The ideal candidate will possess strong leadership and interpersonal skills, with a proven ability to work effectively across business functions and with senior stakeholders. Excellent communication and influencing abilities are essential for presenting complex analyses in a concise and impactful manner. Strategic thinking and the ability to build credibility with the Commercial Leadership Team are key. Familiarity with scientific areas especially oncology is a plus. Experience working with big data technologies, including Spark, is desirable. Candidates should also demonstrate strong problem solving skills and the ability to quickly grasp new concepts.