Demand Planning Analyst

Michael Page; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Contract: 6 Months

Cross-functional exposure

Dashboards & KPIs exposure

Digital transformation initiatives

Job summary

Michael Page is seeking a Demand Forecasting & Analytics professional to develop and maintain statistically driven baseline forecasts using historical data, market signals, and customer demand indicators. You will build scenario analyses, manage forecast models, ensure data quality, and drive continuous improvement with dashboards and KPIs across markets.

You will partner with Commercial, Supply Chain, Finance, and Data Analytics teams to enable data-driven decisions, support digital

Qualifications

• Bachelor's degree in Statistics, Data Science, Economics, Supply Chain, Mathematics, Engineering, Business Analytics, or related discipline.
• 3 years of experience in Demand Planning, Forecasting, Supply Chain Analytics, Business Intelligence, or Data Analytics.
• Experience with large datasets and applying statistical models to forecasting challenges.
• Exposure to FMCG, Consumer Goods, Manufacturing, Retail, Healthcare, or Supply Chain environments preferred.
• Experience supporting S&OP, IBP, or Demand Planning processes advantageous.

Responsibilities

• Develop and maintain baseline demand forecasts using historical sales trends, market intelligence, and customer signals.
• Apply advanced forecasting methodologies for short-, mid-, and long-term projections.
• Analyse internal and external datasets to identify trends, seasonality, and drivers.
• Support Demand Planners with analytical insights for local market assumptions and commercial strategies.
• Build forecasting simulations and scenario analyses to assess market changes and initiatives.
• Provide actionable recommendations through predictive insights and models.
• Partner with commercial and supply chain stakeholders to evaluate risks and opportunities.
• Develop, validate, and enhance statistical forecasting models across categories and markets.
• Monitor forecast performance and document assumptions, methodologies, and metrics.
• Lead data quality reviews and governance for forecasting accuracy.

Skills

Forecasting

Time-Series

Data Analytics

Scenario Planning

Excel

BI/Visualization

SQL

Python/R

Education

Bachelor's Degree

Tools

SAP IBP

APO

Kinaxis

Anaplan

o9

JDA

Job description

About Our Client

Our client is a multinational brand-led company focused on the development, marketing, and distribution of premium lifestyle and consumer products, supported by a strong international commercial network.

Job Description

Demand Forecasting & Analytics

• Develop and maintain statistically driven baseline demand forecasts using historical sales trends, market intelligence, syndicated data, and customer demand signals.
• Apply advanced forecasting methodologies to generate accurate short, medium, and long-term demand projections.
• Analyse internal and external datasets to identify trends, demand patterns, seasonality, and business drivers.
• Support Demand Planners by providing analytical insights that help incorporate local market assumptions and commercial strategies into the forecast.

Scenario Planning & Demand Insights

• Build forecasting simulations and scenario analyses to assess the potential impact of market changes, business initiatives, pricing actions, or external disruptions.
• Provide actionable recommendations through predictive insights and data-driven forecasting models.
• Partner with commercial and supply chain stakeholders to evaluate risks, opportunities, and demand variability.
• Support decision-making by translating complex analysis into meaningful business insights.

Forecast Model Management

• Develop, validate, and continuously enhance statistical forecasting models across multiple product categories and markets.
• Conduct time-series analysis, trend identification, seasonality assessments, and demand pattern evaluations.
• Monitor forecast performance and implement adjustments to improve forecast accuracy and bias.
• Document forecasting assumptions, methodologies, and model performance metrics.

Data Quality & Governance

• Lead data quality reviews to identify inconsistencies, anomalies, and forecasting exceptions.
• Design and maintain data validation frameworks to improve forecast reliability and reporting accuracy.
• Collaborate with stakeholders to investigate outliers and determine whether deviations are driven by business events or data issues.
• Maintain transparency and governance through accurate documentation, audit trails, and forecasting records.

Continuous Improvement & Digital Enablement

• Identify opportunities to improve forecasting processes, methodologies, and planning capabilities.
• Partner with Technology, Data Analytics, and Global Process Teams to enhance forecasting automation and reporting solutions.
• Support the development of dashboards, KPIs, and analytical tools that improve forecasting visibility and decision-making.
• Drive best practices in demand planning, forecasting accuracy, and supply chain analytics.

The Successful Applicant

Education

• Bachelor's Degree in Statistics, Data Science, Economics, Supply Chain, Mathematics, Engineering, Business Analytics, or a related discipline.

Experience

• 3 years of experience in Demand Planning, Forecasting, Supply Chain Analytics, Business Intelligence, or Data Analytics.
• Experience working with large datasets and applying statistical models to business forecasting challenges.
• Exposure to FMCG, Consumer Goods, Manufacturing, Retail, Healthcare, or Supply Chain environments is preferred.
• Experience supporting Sales & Operations Planning (S&OP), Integrated Business Planning (IBP), or Demand Planning processes is advantageous.

Technical Skills

• Demand Forecasting & Statistical Modelling
• Time-Series Analysis
• Data Analytics & Visualisation
• Scenario Planning & Predictive Analytics
• Supply Chain & Inventory Planning
• Forecast Accuracy Measurement & Bias Analysis
• Advanced Microsoft Excel
• Power BI, Tableau, SQL, Python, R, or similar analytical tools are advantageous
• Experience with forecasting and planning systems (SAP IBP, APO, Kinaxis, Anaplan, o9, JDA, etc.) is preferred

What's on Offer

• Contract: 6 Months
• Opportunity to play a key role in shaping business decisions through advanced forecasting and analytics.
• Exposure to cross-functional collaboration with Commercial, Supply Chain, Finance, and Data Analytics teams.
• Opportunity to work with large datasets, predictive models, and modern forecasting tools.
• Involvement in digital transformation and forecasting automation initiatives.