Sr. Associate - Data and Analytics

What You Will Do

We are seeking a datadriven problemsolver who thrives in ambiguity and excels at translating complex data into decisive action. You will drive the analytical backbone of our digitalsourcing ecosystem by delivering insights, models, and decisionsupport tools that unlock valuecreation opportunities across Amgens global spend.

Roles&Responsibilities

Data Enablement & Analytics Delivery

• Design, build, and maintain robust data pipelines that integrate sourcing, supplier, market, and risk data from disparate enterprise systems (SAP, Ariba, SirionLabs, Coupa, etc.).
• Develop advanced analytics products - dashboards, scorecards, statistical models,and predictive algorithms - to inform category strategies, supplier negotiations, and riskmitigation initiatives.
• Own the enterprise sourcinganalytics layer (e.g., Power BI / Tableau semantic models) and serve as product owner for enhancements; document stories, define acceptance criteria, and guide release testing.
• Establish and automate KPI frameworks that quantify cost savings, ESG impact, and operational efficiency at global, regional, and site levels.

Insight Translation & Change Enablement

• Transform analytical findings into clear narratives, datavisualization assets, and actionable recommendations for executive leadership, category managers, Finance, and ESG teams.
• Create datadriven adoption heatmaps to target training and changemanagement interventions that accelerate the use of analytics tools across Global Strategic Sourcing.
• Deliver training, office hours, and selfservice resources that elevate analytical literacy among crossfunctional stakeholders.

Innovation & Continuous Improvement

• Evaluate emerging datascience techniques (generative AI, largelanguage models, graph analytics) and pilot innovative usecases that expand the organizations analytical maturity.
• Quantify waste in current reporting workflows, redesign futurestate processes, and codify best practices in standardoperating procedures aligned with GxP and SOX control frameworks.

Functional Skills

Must Have Skills

• Advanced Analytics & Data Engineering: Handson expertise with SQL, Python or R, datamodeling principles (Kimball, Data Vault), and cloud dataplatforms (AWS, Azure, or GCP).
• BI & DataVisualization: Proven track record building Power BI, Tableau, or Looker dashboards that drive business outcomes; ability to optimize semantic layers and DAX/LOD calculations.
• Statistical & Predictive Modeling: Experience applying regression, clustering, timeseries forecasting, or machinelearning algorithms in procurement or supplychain contexts.
• ETL & Automation: Proficiency with integration tools (Alteryx, dbt, Informatica) and scripting for workflow automation and data quality monitoring.
• Compliance & Governance: Working knowledge of SOX, GDPR, and dataprivacy regulations; experience documenting datalineage and control evidence for audits.

Good to Have Skills

Familiarity with digitalprocurement platforms (SAP Ariba, SirionLabs, Icertis) and sourcetopay process flows.

Exposure to AI/MLbased supplierrisk or contractintelligence solutions.

Soft Skills

• Strategic Communication & Influence: Convey complex analytics in concise, compelling stories tailored to technical and nontechnical audiences.
• Collaboration & Mentorship: Build strong crossfunctional partnerships; coach peers and stakeholders on data best practices.
• ProblemSolving Mindset: Apply structured, firstprinciples thinking to ambiguous challenges, balancing tactical quickwins with longterm scalability.
• Adaptability & Resilience: Thrive in a dynamic environment with shifting priorities and simultaneous projects.
• Attention to Detail: Ensure analytical outputs are accurate, reproducible, and decisiongrade.

Basic Qualifications

• Bachelors degree in Data Science, Statistics, Computer Science, Engineering, SupplyChain Management, or a related discipline; Masters degree preferred.
• 4-6 years of progressive experience in data & analytics, ideally within procurement, supply chain, or enterprise operations.
• Demonstrated delivery of analytics solutions that enabled costsavings, efficiency, or riskmitigation outcomes.
• Handson experience with at least one enterprise BI or datavisualization platform (PowerBI, Tableau, Looker).
• Experience working with cloud data warehouses (Snowflake, Redshift, BigQuery) and orchestration tools (Airflow, Prefect).