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
Work accurate and follow the weekly MOS
Team player
Position Information
Individual Contributor Role
#LI-LD1
Numbers & Facts
Location
Plymouth, MI
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