Senior Analyst – Brand Analytics

Role Overview

• Do you feel prepared to make a significant impact in the world of pharmaceuticals? As a Senior Analyst in Brand Analytics, you'll be at the forefront of driving strategic and operational excellence within our Commercial Organization.
• This hands-on analytical role involves acting as a proactive internal consultant to a specific brand team, crafting commercial solutions that enable data-driven decisions.
• Your expertise in predictive and prescriptive analytics will be essential as you coordinate the understanding of various datasets and implement analytical solutions for business opportunities, customer segmentation, and more.
• Collaborate closely with Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations partners to build innovative analytical practices that sustain competitive advantage.
• Are you ready to foster the use of local customer insights in strategic decisions?
• You'll continuously evaluate new quantitative analysis methods and technologies, develop a deep understanding of internal customers' data needs, and collaborate with US Sales Force Operations for successful business processes.
• Lead the development and deployment of new analytic capabilities across the organization, instilling a culture of continuous improvement.
• Summarizing and presenting findings through various communication channels will be key in driving impactful business decisions.

Requirements

• Quantitative Bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science.
• An advanced degree is preferred (Master’s, MBA or PhD).
• 2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis.
• 5+ years of experience in application of sophisticated methods and statistical procedures on large and disparate datasets.
• 4+ years of recent experience and proficiency with PySpark, Python, R, SQL.
• Solid understanding on platforms like DataBricks.
• Solid understanding of data visualization – PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools is a plus.
• Experience in MS Office products
• Excel and PowerPoint skills required.
• Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets.
• Experience with IQVIA data sets.
• Ability to derive, summarize and communicate insights from analyses.
• Organization and time management skills.
• Expertise in handling and analyzing a range of large, secondary transactional databases is required.
• Statistical analysis and modelling background.
• ML a plus.
• Statistical Analysis & Modelling: Build of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
• Data Mining, Predictive Modelling & Machine Learning algorithms.
• Optimization & Simulation.

Tech Stack

• PySpark
• Python
• SQL
• Tableau

Benefits

• AstraZeneca embraces diversity and equality of opportunity.
• We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible.
• Harnessing industry-leading skills.
• Lifelong learning, growth and development for all.
• Competitive salary and benefits.