As Supply Chain Statistical Analyst, you will be responsible and accountable for design, development and reporting of all supply chain measures enabling timely decision making.
You will drive operational excellence & provide a robust and fact-based 30 months rolling forecast.
You will coordinate cross-functional research activities and reconcile significant variances for its reduction and work on mitigation actions deployment and execution. You will ensure that the weekly & monthly forecast submission deadlines and allied reports are respected. You will lead and drive product life cycle activities ensure zero obsolescence.
Key Responsibilities
Demand Management
- Responsible for weekly update of arbitrated demand using specific tool (e.g. o9 - Demand Planning)
- Statistical Analyst & Reporting's through o9, PowerBi, PowerPoint presentations
- Analyze demand, ask questions, investigate, challenge demand forecast based on historical data, seasonality, market trends, external events, etc
- Manage and prepare statistical forecasts: gather, analyze and validate data
- Apply error analysis techniques to improve forecasting
- Check weekly demand vs sold capacity, demand variation vs tolerance and **escalate deviations**
- Take actions if incorrect EDI/demand (e.g. EDI/demand received for obsolete PNs)
- Work with Customer Desk Specialist and Sales Manager to validate EDI/Demand in case deviations are identified
- Analyze gap and seek convergence of short term / long term forecast
- Propose demand arbitrated volumes and validate them with Sales Team and Global Demand Planning
- Proactively monitor the demand and raise the flag in case of risks (demand variations)
- Use MAPE and BIAS for demand analysis and take actions to improve forecast accuracy
Demand Accuracy
- Weekly check MAPE and BIAS at PN level
- One Team: Discuss and align assumptions with CM at required & meaningful level
- Continuous Improvements: Follow defined standards and guidelines. Propose and implement improvements
- Check and address with improvement top offenders
Internal Alignment and Collaboration
- GEM deployment and its substance for business process excellence
- Drive annual SDP process and coordinate and lead key project through six sigma principles
- Collaborate with Supply Chain, Customer Desk Specials, Sales Team to align on demand forecast
- Ensure adherence to standard demand planning, PIPO, NPI process for meet assigned functional KPIs viz. MAPE, BIAS, Inventory, E&O, Premium Freight
- Actively participates in weekly demand planning, SIOP meetings with ensuring successful completion of assigned deliverables
- Lead, support & report statistical analysis on demand forecast and related KPIs
- Follow-up and adjust arbitrated demand in case change of references (dash change; phase in/phase out) to avoid excess and obsolete
Education / Qualifications
- Post Graduate & / Bachelor’s degree on Business Administration, Engineering or related areas required
Experience
- Minimum 10+ years of relevant experience in demand planning or customer service, sales and supply chain
- Previous experience in the automotive industry preferred (OEM, Tier-I)
Key Skills and Knowledge
Technical Skills
- English proficiency level; Spanish, Portuguese proficiency added advantage
- Proficiency in statistics, forecasting and forecasting methods with an understanding of their financial and operational impacts
- Strong analytical skills
- ERP tools viz o9, SAP skills required and other software related to demand planning preferred
- Experienced with MS Office (Excel advanced, PowerPoint, PowerBi etc.)
- Presentation and communication skills
- Preferred - Six Sigma Green Belt Certification / equivalent certification
Behaviors
- Customer focus – understand and follow customer specific requirements
- Analyze and challenge forecast data, investigate variations
- Spot risks of forecast deviations and communicate internally, share information, collaborate and validate findings
- Self-learning, seek for continuous improvement
- Well organized to manage multiple competing priorities in parallel