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Satellite Office is seeking a detail-oriented Demand Planning professional in the Philippines to manage data, generate forecasts, and monitor forecast accuracy. You will review historical sales and stock events, maintain planning master data and publish forecasts to relevant systems.
Ideal candidates have 2+ years in demand planning or analytics, with strong Excel skills, time-series forecasting knowledge and experience collaborating with international teams across time zones.
Manage demand planning data by extracting, cleansing and validating historical sales data, customer orders and point-of-sale information.
Generate statistical baseline forecasts using historical demand patterns, forecasting models and relevant planning parameters.
Review sales history to identify outliers, stock-outs and unusual events that may affect forecast accuracy.
Maintain planning master data, including product hierarchies, customer and channel mappings, new products and discontinued SKUs.
Monitor and analyse forecast accuracy, MAPE and forecast bias, identifying significant variances and opportunities for improvement.
Conduct root-cause analysis of forecast errors and provide supporting insights to the Commercial Demand Planner and Demand Planning Manager.
Prepare and maintain demand review reports, dashboards and monthly S&OP reporting packs.
Maintain planning calendars, forecast versions, documentation and reporting schedules.
Publish approved forecasts to relevant supply planning and finance systems within agreed timelines.
Collaborate with Supply Planning, Finance, IT and other stakeholders to maintain data alignment and resolve planning issues.
Identify opportunities to improve reporting efficiency through automation, process improvements and better use of planning tools.
Support the Commercial Demand Planner by incorporating approved commercial inputs and forecast adjustments into the planning system.
We're looking for someone with strong analytical skills, a structured approach to problem-solving and hands-on experience in demand planning, forecasting or supply chain analytics.
Ideally, you'll have:
A bachelor's degree in Supply Chain Management, Statistics, Mathematics, Engineering, Business Analytics or a related discipline.
At least 2 years of relevant experience in demand planning, forecasting or supply chain analytics, preferably within the FMCG industry.
Hands‑on experience generating or maintaining statistical forecasts using historical sales data.
An understanding of time-series forecasting methods, forecast accuracy metrics and forecast bias.
Advanced Microsoft Excel skills, including PivotTables, lookups and Power Query.
Experience using demand planning, forecasting or supply chain planning systems.
Strong data management, analytical and reporting capabilities.
The ability to investigate data discrepancies, identify root causes and recommend practical improvements.
Excellent attention to detail and a commitment to data accuracy.
Strong written English and the ability to communicate analytical findings clearly.
The ability to work independently, manage recurring deadlines and proactively raise issues.
Experience collaborating with international teams across different time zones.
Experience with planning systems such as SAP IBP, SAP APO, Kinaxis, o9, Blue Yonder or Anaplan.
Exposure to Microsoft Dynamics 365 (D365), Blueshift or other relevant business systems.
Experience with Power BI, Tableau, SQL, Python or R.
Familiarity with Australian retail, grocery or convenience channels.
APICS/ASCM CPIM or CPF certification.