Summary

About the role:
To support the business within a country with complex analysis, reporting, forecasts etc. (typically very large to large revenue) and may coordinate a team of specialists. To act as a Business Partner for BPA within a country, providing insightful and value-added analysis and decision support to the management team.

About the Role

Key Requirements:

• Process Ownership: Oversee and have end-to-end responsibility for S&OP forecasts within the predictive analytics team, coordinating with other Process Owners within Digital Finance as well as Kinaxis, LDC Supply and Supply Master Data teams
• Continuous Improvement: Identify opportunities for process optimization, develop and implement strategies to ensure timely forecasting, enhance efficiency, ensure accuracy and high-quality forecast for all relevant areas.
• Stakeholder Collaboration: Collaborate with business partners as well as within the Digital Finance team based out of Barcelona, Basel and Hyderabad to understand their requirements, gather feedback and align predictive analytics processes accordingly. Collect Country/ Region /Unit SCM feedback to ensure customer centric issues are addressed promptly toward improving the Predictive processes.
• Flawless Execution: Ensure flawless and error-free execution of all predictive analytics processes, adhering to defined timelines, standards and quality guidelines
• Business Analysis and Interpretation: Analyze large datasets, interpret trends, patterns and correlations for accurate predictions in each process, either independently or in collaboration with Data Analysts.
• Performance Monitoring: Monitor and analyze key performance indicators (KPIs) and metrics related to each predictive analytics process, identifying deviations and taking corrective actions proactively.
• Training and Development: Provide training and support to team members on predictive analytics tools, techniques and methodologies specific to each process, ensuring their skills and knowledge are up-to-date.
• Best Practices Implementation: Research, recommend and implement predictive Finance best practices for each process to drive continuous improvement and ensure state-of-the-art operations.
• Risk Management: Identify process-specific risks, develop mitigation strategies and establish controls to minimize their impact on the accuracy and quality of predicted outcomes. Ensure proper back up is created across sub process and the overall Predictive process for a seamless delivery.
• Predictive Tools Expertise: Demonstrate extensive proficiency in utilizing predictive analytics tools, including statistical models, machine learning algorithms, data visualization techniques, and process-specific tools.

• Ability to collaborate effectively with cross-functional teams and stakeholders to understand their unique requirements and deliver results for each process.
• Excellent communication skills (written and verbal) to present complex analytical findings clearly.
• Demonstrated ability to manage multiple priorities and meet tight deadlines in a fast-paced environment.
• Proactive mindset with a strong commitment to high-quality work and driving innovation.
• Strong organizational and project management skills to ensure flawless execution of predictive Finance processes for each respective area.

• MBA with a Bachelor's degree in a relevant field (e.g., Engineering, Data Science, Statistics, Mathematics, Computer Science) is required.
• • Proven experience in project management, consulting or predictive Finance/Supply, with expertise in Change Management, Process Improvement, and operations delivery.
• Added advantage if good understanding of statistical models, machine learning algorithms, and data visualization tools (e.g., R, Python, SQL, Tableau, etc.)
• • Excellent analytical and problem-solving skills with a focus on attention to detail and accuracy.
• Experience in process optimization and continuous improvement methodologies (e.g., Six Sigma, Lean, Agile) is preferred.