Business Performance & Analytics Analyst
Amgen
This listing was originally posted on Amgen's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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The Business Performance & Analytics Analyst supports the Global Planning Network and site Supply Chain organizations by delivering business intelligence, analytics, reporting, visualization, financial insights, and digital solutions that enable data-driven decision making across the end-to-end supply chain.
The role partners with Global Supply Planning, Raw Materials Planning, Manufacturing, Procurement, Logistics, Finance, Digital Technology, and Site Supply Chain Operations to transform operational, planning, and financial data into actionable business insights. This position is responsible for developing enterprise reporting, performance dashboards, planning analytics, KPI scorecards, and automation solutions that improve forecast accuracy, inventory optimization, manufacturing performance, service levels, operational efficiency, and business outcomes.
The analyst also supports continuous improvement initiatives through process standardization, automation, AI-enabled analytics, and self-service reporting capabilities while ensuring data integrity, governance, and compliance.
Key Responsibilities
1. Business Performance & Analytics
· Develop and maintain enterprise dashboards, KPI scorecards, and performance reporting that support the Global Planning Network and Site Supply Chain organisations.
· Analyse operational, planning, manufacturing, inventory, procurement, logistics and financial data to identify trends, risks, opportunities and performance improvement initiatives.
· Deliver recurring and ad hoc analytics to support Integrated Business Planning (IBP), S&OP, operational reviews, governance forums and executive decision-making.
· Translate complex data into actionable business insights and recommendations for both technical and non-technical stakeholders.
· Develop executive-level visualisations that improve business visibility and support strategic planning.
· Strong Data Analytics experience (problem-solving and data-to-insight storytelling)
· Python, SQL, and Databricks
· Tableau/Power BI
· Supply Chain domain experience
2. Planning Network Analytics
Provide analytics and reporting support across Demand Planning, Supply Planning, Raw Materials Planning, Inventory Planning and Integrated Business Planning processes.
Monitor, analyse and report planning performance metrics including:
Supply Planning
Raw Materials Planning
Partner with planning teams to identify opportunities to improve forecast accuracy, inventory optimisation, service levels and supply reliability.
3. Site Supply Chain Analytics
Provide analytics and reporting that support manufacturing execution, inventory management, warehousing, operational planning, inspection readiness and continuous improvement initiatives.
Key responsibilities include:
4. Supply Chain Systems & Digital Solutions
Provide functional support and continuous improvement for supply chain systems, data, reporting platforms and system integrations.
Key responsibilities include:
5. Financial Analytics, Continuous Improvement & Automation
Support supply chain financial performance while driving process optimisation, automation and data-driven decision making.
Key responsibilities include:
Basic Qualifications
Master's degree OR Bachelor's degree and 5-9 years of experience in Business Analytics, Data Analytics, Supply Chain, Operations, Finance, or related business functions.
Preferred Qualifications
· Experience supporting Supply Chain Planning, Manufacturing, Procurement, Logistics, Operations, or related business functions.
· Knowledge of Supply Planning, Inventory Planning, Raw Materials Planning, and Integrated Business Planning (IBP) processes.
· Experience with SAP platforms (S/4HANA, ECC, Fiori, IBP) and business intelligence tools such as Tableau, Power BI, SAP Analytics Cloud, or BusinessObjects.
· Proficiency in data analytics and reporting tools, including SQL, Python, Databricks, Excel, or similar technologies.
· Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate data into actionable business insights.
· Experience driving process improvement, automation, AI-enabled analytics, and digital transformation initiatives in a complex business environment.
· Experience building dashboards, KPIs, and analytics/reporting solutions
· Strong stakeholder management, communication skills, and Continuous improvement mindset
· Rapid Response experience
· Good-to-have: Pharma domain experience
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