Brand Analytics Data Analyst

Role Overview: In this role, you will coordinate the understanding and integration of various datasets and design analytical solutions to support critical business needs. You will work closely with cross-functional stakeholders including Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations teams. Key Responsibilities: - Design analytical solutions for 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. - Influence key business decisions through impactful insights. - Continuously evaluate and adopt new quantitative methods and technologies to improve analytical capabilities across the organization. Qualifications Required: - A bachelor's 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. - Minimum of 3 years of experience applying advanced statistical methods to large, complex datasets. - Proficiency in PySpark, Python, R, and SQL is essential. Familiarity with 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. - Excellent organizational and time management capabilities required. Additional Details: 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. 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.,