• SaaS KPIs Control & forecast: Revenue and related metrics (conversion rates, renewal rates, LTV, and others) of online subscription-based products. • Performance analysis and improvement, through business intelligence (Dashboards, BigQuery-SQL), Data Science (Python-Machine Learning) and SEM-SEO data analytics (Google ads, Google Analytics, Search Console and Heap Analytics). • Balance payment processing cost and risk. • Constant identification of potential savings & profit increase opportunities, P&L variance analysis (forecast vs actual), P&L rolling forecast, and revenue forecast modeling for new products.

-Drive sales and promotion of high-performance fasteners for gas turbines, collaborating with renowned aircraft engine OEMs.-Conduct sales presentations, manage requests for quotations, and negotiate long-term agreements, contracts, and purchase orders.-Customer relationship management and sales forecasting.

-Conduct market research on Southeast Asia's mobile applications ecosystem, identify investment opportunities and potential partners.-Implement a project, and task management database system to track marketing campaigns and improve productivity.

- Sales forecast of personal care products using time series models. Forecast accuracy & slow movement items report, analysis, and action plan.- Weekly product shortages and supply status analysis. Work collaboratively with factories, logistics, customer service, and marketing to efficiently manage inventory and update production plans to ensure optimal service.- SQL queries to manipulate data related to product inventory.

- Coordinate the factory's annual plan proposal preparation, including budget (raw & packing material, labor, maintenance, R&D, depreciation, utilities, CapEx, savings, and others), KPIs targets, and working plan for each department.- Annual factory capacity utilization analysis. - Calculation, monitoring, and deviation analysis of monthly KPIs results.- Monthly actual cost vs. monthly budget variance analysis. Highlighting deviation, opportunities, and risks.- Factory working plan monitoring and document system management.- Use of SQL queries to manipulate data related to cost and production.

- Use of statistical process control tools to monitor the capability of the process to comply with product physical and chemical specifications.- Rework and give away monitoring and action plan.- Packing machines software parameterization.- Nonconformance monitoring and action plan.