Senior Biopharmaceutical Data Strategist

We are seeking a talented, motivated and self-driven professional to join our organization and play an active role in transforming the commercial biopharma landscape. This is an exciting opportunity for a seasoned Analytics Engineer to drive innovation and growth by leveraging data science and analytics.

1. Data Engineering: Hands-on development of last-mile data products using cutting-edge technologies and software engineering practices.
2. Data Science Collaboration: Enable data science teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way.
3. Domain Expertise: Develop deep domain expertise and business acumen to ensure that all specificities and pitfalls of data sources are accounted for.
4. Data Product Development: Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models.
5. Reusability, Governance, Compliance: Develop analytical data products for reusability, governance and compliance by design.
6. Semantic Layer Implementation: Align with organization strategy and implement semantic layer for analytics data products.
7. Data Stewardship: Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks.

• Bachelor's/Master's degree in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business or related field.
• 3+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets.
• High proficiency in SQL, Python and AWS.
• Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer.
• Experience creating/adapting data models to meet requirements from Marketing, Data Science, Visualization stakeholders.
• Experience with including feature engineering.
• Experience with cloud-based (AWS/GCP/Azure) data management platforms and typical storage/compute services (Databricks/Snowflake/Redshift etc.).
• Experience with modern data stack tools such as Matillion/Starburst/ThoughtSpot and low-code tools (e.g. Dataiku).
• Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders.
• Experience in analytics use cases of pharmaceutical products and vaccines.
• Experience in market analytics and related use cases.

• Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines.
• Experience with Agile ways of working, leading or working as part of scrum teams.
• Certifications in AWS and/or modern data technologies.
• Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors.
• Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders.
• Experience with data visualization technologies (e.g. PowerBI).

We are a global leader in the research and development of medicines and vaccines. For over a century, we have been driven by a passion to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.