Procurement Business Analyst
International Flavors & Fragrances
- Asturias
- Permanente
- Tiempo completo
- Lead the tracking of the organization's raw material spend through the Budget and Forecast process
- Support evaluation, approval and tracking of savings initiatives
- Be a key co-partner to the Procurement transformation and digitalization journey
- Employ data mining techniques to achieve data synchronization and problem root cause analysis
- Support data selection, extraction, and cleansing for effective reporting and dashboarding requirements
- Liaise with Category Directors and Managers to validate supplier spend, baseline analysis and track savings and compliance
- Work to identify and implement continuous improvement in sourcing strategies
- Assist with the development of RFx scoring models and sourcing initiatives as well as supporting the RFx end to end process when needed
- Create and sustain processes, tools, and on-going support structures that enable reuse and efficiency
- Develop and maintain constructive and cooperative working relationships with colleagues and management
- Bachelor's Degree in Business, Finance or related field
- Ideally minimum 5 years' work experience. Experience in project management as well as in analyzing data, drawing conclusions, and presenting facts for decision making managers.
- Project Management skills, ability to take ownership from start through to completion
- Analytical thinking - able to interpret data and present conclusions/guidance
- Cost model development experience, including multivariate analysis
- Results oriented/Persistent
- Thrive in a collaborative work environment - work across functions, cultures and time zones
- Open and direct communication approach - push and chase others whilst maintaining appropriate professionalism
- Excellent Excel skills
- Fluent in English (written and spoken)
- SAP BW/AO or other data extraction tools
- Dashboard creation (PowerBI or Tableau)
- Knowledge of SAP, Oracle or any other ERP system
- Experience in a Procurement environment
- Experience with M&A integration
- Experience translating analytical needs to data scientist
- Knowledge of Python, SQL, or R