Senior Data Analyst

Accountabilities

• Continuously evaluate new quantitative analysis methods and technologies.
• Develop a deep understanding of internal customers data and analytical needs focusing on the customer-facing model leadership.
• Champion the use of local customer insight in strategic and resourcing decisions across the business.
• Collaborate with the US Sales Force Operations to ensure success of key business processes and coordination on joint initiatives.
• Identify and prioritize enhancements and new analytic capabilities. Can lead the development, deployment, and embedding of such capabilities across the organization.
• Instill a culture of continuous improvement, testing, and deployment of new capabilities for the business.
• Develop innovative analytical practices to create and sustain competitive advantage.
• Access appropriate information via a variety of tools and sources.
• Summarize and present findings through various communication channels.
• Apply deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.).
• Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.
• Monitor the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization.

Essential Skills/Experience

• 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 advanced methods and statistical procedures on large and disparate datasets.
• 4+ years of recent experience and proficiency with PySpark, Python, R, SQL.
• Working knowledge on platforms like DataBricks.
• Working knowledge 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 managing and analyzing a range of large, secondary transactional databases is required.
• Statistical analysis and modelling background.
• ML a plus.
• Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
• Data Mining, Predictive Modelling & Machine Learning algorithms.
• Optimization & Simulation.

Desirable Skills/Experience

• Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
• Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
• Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team.
• Strong organizational skills and time management; ability to manage diverse range of simultaneous projects.
• Knowledge of AZ brand and Science (Oncology in particular).
• Experience using Big Data is a plus. Exposure to SPARK is desirable.
• Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly.