Advanced Analytics Manager

at  AstraZeneca

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, high-reaching thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking daring action to solve some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.

QUALIFICATIONS:

• Strong analytical skills, coupled with curiosity and conceptual thinking skills to manipulate and derive meaningful interpretations from data
• Undergraduate degree in a technical field (Statistics, Economics, Mathematics, Computer Science, etc.) or equivalent experience
• Minimum 2 years experience and an established proficiency using SQL and Python and/or R for data processing (e.g., Redshift SQL, Pandas, Tidyverse, PySpark).
• Knowledge and experience using business intelligence reporting tools (e.g., Experience with Power BI or similar is considered an asset)
• Comfortable with building and implementing statistical and machine learning models (e.g., advanced regression techniques, hypothesis testing, time series analysis, experimental design, causal inference, clustering)
• Excellent problem-solving skills with a desire for continuous learning
• Strong oral and written communication skills and proven experience presenting analytical findings with varying levels of complexity
• Familiarity with commercial Pharmaceutical Industry data is an asset

• Engage with business partners in the local and global commercial organization to understand business objectives and develop strategic opportunities for advanced analytics and data science applications
• Perform data mining, wrangling and feature engineering to support model and report development
• Develop innovative customer profile metrics to simplify and build new insights for marketing and sales teams
• Build, maintain, and present results from machine learning and statistical modeling projects to leaders
• Conceptualise and provide expertise on the design, execution, and evaluation of A/B testing to assess marketing performance and enable the optimization of our omni-channel marketing efforts
• Investigate and explore new data sets and recommend sustainable use cases that can support ongoing insight generation
• Manage and strengthen existing partnerships with external and internal teams to effectively deliver key analytical projects
• Partner with business unit analytics managers to enhance segmentation & targeting processes