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The manager will work within R&D Quality’s Business Intelligence and Data Analytics (BIDA) team to help deliver actionable information and recommendations to key leaders and stakeholders by maintaining and expanding our data pipelines, tools, reporting, and data communication strategies. This role contributes to ensuring Amgen’s pursuit of life-saving medication is done with the highest regard for quality and compliance to regulations.
Job Responsibility:
Extract and clean data from internal systems for regular and ad hoc reporting, including data pipeline creation and maintenance
Generate, validate, and deliver KPIs, quality metrics, and performance indicators used across the R&D Quality landscape
Investigate and analyze metric trends, anomalies, and operational insights
Design, build, and maintain Tableau dashboards for operational monitoring, compliance reporting, and executive summaries
Develop and maintain Python scripts used for data processing, transformation, and report automation
Help create reusable components for common data analysis tasks and documentation
Ensure version control and proper documentation of scripts and workflows
Collaborate with stakeholders to clarify data needs, ensure alignment on definitions, and deliver fit-for-purpose outputs
Create polished, data-driven reports for senior leadership and cross-functional teams
Translate complex data outputs into meaningful business insights and narratives
Translate high-level business questions into analytic problems and guide the team toward actionable outputs
Coordinate ad hoc analyses and recurring metrics production for quality audits, inspections, CAPAs, and KPIs
Requirements:
Master’s degree and 7-10 years in Pharma and Biotechnology R&D Quality OR Bachelor’s degree and 10-15 years of years in Pharma and Biotechnology R&D Quality
Exceptional attention to detail and accuracy in all deliverables
Ability to work independently and proactively in a fast-paced environment
Proficiency with Tableau or similar data visualization tools
Familiarity with Python or other object-oriented programming language
Familiarity with SQL and Databricks
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and virtual collaboration tools (e.g., Teams)
Effective communication, critical thinking and problem-solving
Experience in conducting data analyses and translating data sets into actionable insights
Nice to have:
Familiarity with project management tools and methodologies
Knowledge of GCP, GLP and/or GPvP
Familiarity with Databricks and SQL
Experience working in a multinational environment with global teams