Senior Data Analyst

Accountabilities

1. Continuously evaluate new quantitative analysis methods and technologies.
2. Develop a deep understanding of internal customers' data and analytical needs focusing on the customer-facing model leadership.
3. Champion the use of local customer insight in strategic and resourcing decisions across the business.
4. Collaborate with the US Sales Force Operations to ensure success of key business processes and coordination on joint initiatives.
5. Identify and prioritize enhancements and new analytic capabilities. Can lead the development, deployment, and embedding of such capabilities across the organization.
6. Instill a culture of continuous improvement, testing, and deployment of new capabilities for the business.
7. Develop innovative analytical practices to create and sustain competitive advantage.
8. Access appropriate information via a variety of tools and sources.
9. Summarize and present findings through various communication channels.
10. Apply deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.).
11. Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues.
12. 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

1. 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. 2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis.
3. 5+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets.
4. 4+ years of recent experience and proficiency with PySpark, Python, R, SQL.
5. Working knowledge on platforms like DataBricks.
6. 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.

1. Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets.
2. Experience with IQVIA data sets.
3. Ability to derive, summarize and communicate insights from analyses.
4. Organization and time management skills.
5. Expertise in managing and analyzing a range of large, secondary transactional databases is required.
6. Statistical analysis and modelling background.
7. ML a plus.
8. Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
9. Data Mining, Predictive Modelling & Machine Learning algorithms.
10. Optimization & Simulation.

Desirable Skills/Experience

1. Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
2. 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.
3. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team.
4. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects.
5. Knowledge of AZ brand and Science (Oncology in particular).
6. Experience using Big Data is a plus. Exposure to SPARK is desirable.
7. Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly.