Demand Planning Analyst

Businesslist; Kuala Lumpur; On-site; MYR 60,000 - 97,000; Part time

Benefits offered by this job

Six-month contract

Job summary

Businesslist in Kuala Lumpur is seeking a Demand Forecasting & Analytics specialist to develop and maintain statistically driven forecasts across product categories. You will apply advanced methods and analyze datasets to uncover trends and drivers, supporting planners with insights for market assumptions.

The role involves scenario planning, cross-functional collaboration with Commercial and Supply Chain teams, and contributing to forecasting automation initiatives.

Qualifications

• Bachelor's Degree in Statistics, Data Science, Economics, Supply Chain, Mathematics, Engineering, Business Analytics, or a related discipline.
• 3 years of experience in Demand Planning, Forecasting, Supply Chain Analytics, BI, 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 is preferred.

Responsibilities

• Develop and maintain statistically driven baseline demand forecasts from historical sales trends and signals.
• Apply advanced forecasting methodologies for short, medium, and long-term projections.
• Analyse datasets to identify trends, seasonality, and business drivers.
• Support Demand Planners with analytical insights for local market assumptions and strategies.
• Build forecasting simulations and scenario analyses to assess market changes or disruptions.
• Collaborate with commercial and supply chain stakeholders to evaluate risks and opportunities.

Skills

Demand forecasting

Time-series analysis

Data analytics

Scenario planning

Power BI

Excel

SQL

Python

R

Forecast accuracy

Education

Bachelor's degree in Statistics / Data Science / Economics / related

Tools

SAP IBP

Kinaxis

Tableau

SQL

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.

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