Job Title : Sr Associate – Data Analytics
What You Will Do
Let's do this. Let's change the world.
In this vital role, reporting to the Organizational Planning Analytics & Insights Business Analytics Manager , you will support Amgen's Tech & Workforce Strategy by developing robust data pipelines , dashboards , and ad-hoc reporting to drive insights that impact resource allocation and sourcing strategy .
This role involves designing and maintaining data models and frameworks for procurement and sourcing analytics , supporting ETL processes for integrating procurement data into EDF , and identifying and resolving data quality issues to ensure reliable metrics and KPIs for collaborators.
Roles & Responsibilities
- Build data pipelines in Prophecy and Databricks
- Develop insights with a strong focus on Tableau and Power BI dashboard creation
- Design and deliver compelling PowerPoint presentations
- Guide data engineers on technical requirements to support dashboards and other business objectives
- Conduct ad hoc analyses of FP&A and sourcing / procurement data
- Collaborate with cross-functional teams to support business goals with data-driven solutions
What We Expect of You
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications
Master's degree and 1 to 3 years of experience in data engineering , data science , or business analysisORBachelor's degree and 3 to 5 years of relevant experienceORDiploma and 7 to 9 years of relevant experiencePreferred Qualifications
4 years of relevant experience in data engineering , data science , data analytics , consulting , or financial planning & analysisA keen eye for design, with the ability to create engaging PowerPoint decksExpertise in building impactful Power BI and Tableau dashboardsStrong Python and SQL skillsHands-on experience with DatabricksSkilled in tools such as Tableau , Python , R , Alteryx , and Power BIKnowledge of global finance systems , procurement , and sourcing operationsUnderstanding of biopharmaceutical and biotech industry trends and operationsWork Environment
Flexible work models, including remote work arrangements , where possibleSkills Required
Data Analytics, Data Science, Power Bi, data engineering , Python