FACTORS FOR SUCCESS:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of experience in data architecture and analytics engineering, preferably within biotech, pharma, or life sciences.
• Proven experience implementing and managing modern data analytics platforms and BI tools.
• Expertise in Tableau, including advanced calculations, dashboard design, and performance optimization. Tableau certification is a plus.
• Proficiency with SQL and cloud-based databases, including Azure SQL Server, Azure Data Factory, Databricks, and Snowflake.
• Familiarity with integrating dimensional data models and creating highly usable data layers for business users.
• Experience working with data across clinical, commercial, finance, and supply chain domains.
• Exposure to AI/ML technologies or their application in analytics is a plus.
• Understanding of data security and privacy standards, including compliance frameworks.
• Excellent interpersonal, communication, and customer service skills; able to work effectively in a fast-paced, collaborative environment with shifting priorities.
• Familiarity with agile development and project management methodologies.

ABOUT THE ROLE

As Enterprise Data and Analytics Engineer, you will play a critical role in the design, implementation, and support of scalable, enterprise-level data products. You will collaborate across business functions to deliver intuitive, impactful data solutions and visualizations that empower teams to make data-driven decisions. This role is deeply involved in advancing our data infrastructure and reporting strategy, with a strong emphasis on user enablement and scalable architecture.

LET’S TALK ABOUT SOME OF THE KEY RESPONSIBILITIES OF THE ROLE:

• Partner with cross-functional teams to gather and refine requirements for data analytics and visualization needs across the organization.
• Design and implement Tableau dashboards and data models that translate complex data into user-friendly, actionable insights.
• Ensure secure and appropriate access to data through strong data governance and access control policies.
• Support business users by delivering ad hoc reporting solutions and training on self-service data tools and platforms.
• Collaborate with IT, Data Engineering, and business stakeholders to identify scalable, sustainable reporting solutions as data volume and organizational needs grow.
• Coordinate with cloud service providers and implementation vendors to support enterprise analytics infrastructure.
• Support proper data visualization usage across teams, ensuring accuracy, clarity, and adherence to best practices.
• Assist in the development and documentation of reporting strategies, standards, and data workflows.