Senior Supply Chain Analyst

1. Purpose Roles:

1. 1. Drive data-based decision making across the end-to-end supply chain by transforming complex datasets into strategic insights via Visualize Dashboard

1. 2. Partners cross-functionally with Internal Supply Chain – Commercial - Finance and Strategy teams to diagnose bottlenecks, anticipate business risks, and propose actionable scenarios that improve service level, cost efficiency, and supply agility.

2. Supply Chain Diagnostics & Bottleneck Analysis

- Conduct deep-dive performance analytics across planning, procurement, and logistics to identify root causes of inefficiency.

- Quantify business impact of recurring issues (forecast deviation, high inventory aging, lead-time variance, transportation ).

- Develop simulation and “what-if” scenario models to recommend corrective actions and process improvements that enhance operational reliability and cost performance.

3. Sales & Trend Analytics – Scenario Planning

- Integrate sell-out, promotion, and market trend data to identify demand patterns and predict business risks.

- Build dynamic “what-if” models combining commercial assumptions and supply constraints to support proactive decision-making.

- Partner with Commercial and Finance teams to ensure scenario outcomes align with business targets and supply capabilities.

4. Dashboard Building & Data Automation

- Design interactive dashboards via Looker Studio / Power BI to visualize key metrics (FA, OTIF, DIO, SLOB, Working Capital).

- Automate data consolidation from ERP and Sale systems to ensure real-time visibility and reporting accuracy.

- Translate data into business insights and actionable recommendations for daily operations of SCM Department , Other Departments in monthly S&OP or management review meetings.

5. Continuous Improvement & Transformation Projects

- Lead and support cross-functional initiatives aimed at improving forecast accuracy, inventory turnover, and process efficiency.

- Partner closely with IT /Strategy teams to implement supply chain transformation projects such as ERP enhancement, data warehouse integration, and predictive analytics models.

- Drive continuous improvement mindset and embed data analytics culture across the organization

- Act as a key stakeholder in digitalization initiatives, ensuring analytical solutions are scalable, accurate, and aligned with business

- Drive continuous improvement mindset and embed data analytics culture across the organization

6. KPIs:

- 85% scenario simulation reliability, reducing reactive re-planning by 40%.

- At least 3 scenarios for each situation

- Built real-time Locker/ Excel Visualize /Power BI dashboards integrating ERP/sales data, cutting manual reporting time 100%

- Partnered with Internal and External Department to deploy predictive analytics and data warehouse integration, enabling 70% faster S&OP/ daily Operations decision-making.

- Delivered/ Reduced monthly / annual cost optimization via root-cause analytics and supply chain process redesign.

-  Min 5 years of experience in Supply Chain Analytics , Business Analytics in Senior level , preferably within in FMCG , Cosmetic.

- Strong analytical mindset with advance in Query , Excel visualize, BI, Locker studio, SQL, Python.

- Cross functional collaboration skills with strong communication, ownership.

- Ability to transform data into actionable business strategics and influence/fast decision making at senior level.

- High adaptability to thrive in a fast growing and dynamic business environment.