Career CategoryInformation SystemsJob DescriptionABOUT AMGENAmgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.ABOUT THE ROLERole Description:In this role, you will support Amgen’s Global Supply Chain Analytics team by developing AI-powered planning products. You’ll design, build, maintain, and interpret large datasets to provide actionable business insights, develop reports, support data governance, and visualize data for accessibility and reliability. The ideal candidate has strong technical skills, experience with big data technologies, and a solid understanding of data architecture and ETL processes.Roles & Responsibilities:Design, develop, and maintain data solutions for data generation, collection, and processingBe a key team member that assists in design and development of the data pipelineCreate data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systemsContribute to the creation of metric dashboards, self-serve analytics, and business insights using Tableau or Power BIDevelop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistencyLeverage cloud platforms (AWS preferred) to build scalable and efficient data solutionsAdhere to best practices for coding, testing, and designing reusable code/componentExploratory data analysis, understand business knowledge, do feature engineeringSupport generation of annual product review documents, regulatory inspections, and process documentationWork with data engineers on data quality assessment, data cleansing and data analyticsBasic Qualifications and Experience:Bachelor’s or Master’s degree Computer Science, IT or related field experience4-9 years of work experience in IT or relevant areas.Functional Skills:Must-Have Skills Hands on experience with big data technologies and platforms, such as Databricks (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processingHands on experience with various Python/R packages for EDA, feature engineering and machine learning model trainingProficiency in data analysis tools (eg. SQL) and experience with data visualization toolsProficiency with data visualization platforms like Tableau, Power BI, or matplotlib/seaborn for PythonExcellent problem-solving skills and the ability to work with large, complex datasetsGood-to-Have Skills:Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model developmentStrong understanding of data modeling, data warehousing, and data integration conceptsInterest in GenAI/LLM technology and building data products that support natural language interfacesProfessional Certifications:Certified Data & Analytics professionalSoft Skills:Excellent critical-thinking and problem-solving skillsStrong communication and collaboration skillsDemonstrated awareness of how to function in a team settingDemonstrated presentation skillsEQUAL OPPORTUNITY STATEMENTAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation..