Supply Chain Global Analytics Planner

The Straumann Group (SIX: STMN) is a global leader in tooth replacement and orthodontic solutions that restore smiles and confidence. It unites global and international brands that stand for excellence, innovation and quality in replacement, corrective and digital dentistry, including Anthogyr, ClearCorrect, Medentika, Neodent, NUVO, Straumann and other fully/partly owned companies and partners. In collaboration with leading clinics, institutes and universities, the Group researches, develops, manufactures and supplies dental implants, instruments, CADCAM prosthetics, orthodontic aligners, biomaterials and digital solutions for use in tooth correction, replacement and restoration or to prevent tooth loss.

Headquartered in Basel, Switzerland, the Group currently employs more than 11’000 people worldwide. Its products, solutions and services are available in more than 100 countries.

People and culture are the Straumann Group’s greatest assets; they are the keys to high performance and sustainable success. We strive for a culture that builds trust and collaboration, fosters diversity, embraces change, promotes agility, learning and innovation, creates opportunities, allows people to make mistakes and encourages them to take both responsibility and ownership. The fundamental driver of our culture is the player-learner mindset, which we seek to inspire and nurture in every employee.

**About the Job**

The Supply Chain - Global Analytics Planner (Anaplan) will be responsible for generating accurate monthly baseline forecasts with predicted demand volumes across various levels of product hierarchy using advanced algorithms in Anaplan - PLANIQ. This position will report directly to the Global Supply Chain Excellence team and will have a direct reporting line to the Digital Transformation Manager - Supply Chain Planning.

**Key Responsibilities**:
1.** Anaplan Planning Model Building**
- Maintain and administrate the Integrated Business Planning System (ANAPLAN)
- Understanding of business processes along the S&OP cycle to support the Continuous Improvement Process (CIP)
- Translate business requirements into functional requirements and use cases
- Monitor data flows to and from systems to ensure all data is up-to-date and accurate
- Provide hands-on training to end users on Integrated Business Planning System (ANAPLAN) models and processes
- Define and administer user roles and permissions in the Integrated Business Planning System (ANAPLAN)

2.** Data Cleaning and Outlier Detection**:

- Utilize Anaplan to clean historical sales data
- Implement outlier detection techniques to ensure data quality before feeding into algorithms and models

3. **Data Collaboration**:

- Collaborate with cross-functional teams to obtain relevant data sets to be leveraged as related data in PlanIQ
- Ensure timely and accurate data collection and processing to enhance the forecasting models

4. **Forecast Generation**:

- Develop and generate monthly baseline forecasts using advanced algorithms in PlanIQ
- Predict demand volumes across different levels of product hierarchy
- Disaggregate forecasts to SKU level

5. **Forecast Analysis and Adjustment**:

- Analyse the outputs of forecasting algorithms and models resulting from PlanIQ
- Overwrite baseline forecasts where necessary based on additional data analysis and past baseline forecast performance
- Analyse the accuracy of baseline forecasts before and after adjustments of global analytics planner using Forecast Value Add (FVA) metrics

6. **ABCXYZ Classification Review**:

- Conduct periodic reviews of ABCXYZ classification at different levels
- Use Anaplan functionalities to support the classification process
- Implement classification findings to improve demand planning

7. **Demand Planner Collaboration**:

- Collaborate with global and regional demand planners, with focus on increasing their understanding on how baseline forecast volumes have been compiled

8. **Continuous Improvement**:

- Stay updated with the latest advancements in forecasting algorithms and data analysis techniques
- Propose and implement improvements to the forecasting process and tools.

**Qualifications**:

- Degree in Data Science, Statistics, Business Analytics, Supply Chain Management, or a related field. Master’s degree preferred.
- Proficiency in using forecasting and planning tools such as Anaplan.
- Strong knowledge of statistical forecasting methods and algorithms.
- Excellent analytical skills with the ability to interpret complex data sets and derive actionable insights.
- Experience with data cleaning and outlier detection techniques.
- Strong collaboration skills with the ability to work effectively with cross-functional teams.
- Proficiency in data visualization tools and techniques.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.