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Experience:

3 years required

Skills:

Sales, Statistical Analysis, Power BI, English

Job type:

Full-time

• Data Collection & Preparation: Source, extract, and consolidate sales data from various internal systems (e.g., DMS) and external sources.
• Clean, validate, and transform raw data to ensure accuracy, consistency, and readiness for analysis.
• Develop and maintain robust data pipelines and processes for efficient data acquisition.
• Data Analysis & Insights: Conduct in-depth statistical analysis of sales performance metrics, including sales trends, pipeline health, conversion rates, customer behavior, and market share.
• Identify key drivers of sales performance, opportunities for improvement, and potential risks.
• Perform root cause analysis for variances in sales results against targets or forecasts.
• Develop and apply predictive models for sales forecasting, lead scoring, or customer segmentation as needed.
• Reporting & Visualization: Design, develop, and maintain interactive dashboards and reports using business intelligence tools (e.g., Power BI) to visualize sales data and key performance indicators (KPIs).
• Prepare regular and ad-hoc reports and presentations for sales leadership, highlighting key findings, insights, and strategic recommendations.
• Ensure reports are accurate, timely, and effectively communicate complex data to non-technical stakeholders.
• Process Improvement: Continuously seek to improve data quality, reporting processes, and analytical methodologies.
• Stay informed about industry best practices in data analytics and sales operations.
• Bachelor or mastered degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related discipline, Data Science, BI tool is a plus.
• 3-5+ years of experience in a data analysis role, specifically within sales analysis, business intelligence, or a related analytical function.
• Proven experience working with large datasets and complex business problems of with understating sales process, metrics and key performance both Modern Trade and Traditional Trade, FMCG.
• Technical Proficiency in Power BI, SQL, Excel (Pivot Table, Power Query, Tableau is a plus).
• Familiarity with data warehousing and cloud data platforms (e.g., Azure, GCP) is a plus.
• Good written and verbal communication in Thai and English skills.
• Strong critical thinking and analytical capabilities to interpret complex data, identify trends, and draw actionable conclusions.
• Excellent problem-solving skills with a meticulous attention to detail and accuracy.
• Ability to structure and perform analyses, synthesize information, and develop recommendations with strong presentation skills.
• Ability to build strong relationships with diverse teams.
• Self-motivated, proactive, ability to work independently and collaboratively within a team environment.
• Strong organizational skills with the ability to manage multiple projects and deadlines.
• Working Conditions.
• Primarily an office-based role with standard business hours.
• May occasionally require flexibility in work hours to meet project deadlines or support sales teams.
• No Relocation support available Business Unit Summary.
• Mondelēz International in Southeast Asia is in five countries serving 19 markets with more than 18 nationalities and 7,500 employees. This group is emerging as one of the fastest growing regions in Asia, the Middle East and Africa, and we are proud of consistently producing high quality products in nine manufacturing sites. We are market leaders in key snacking categories, making and selling brands like Oreo and Tiger biscuits, Kinh Do mooncakes, Jacob s crackers, Cadbury Dairy Milk chocolate, Tang powdered beverage, Halls candy and Eden cheese. We set the benchmark in being a responsible business and contributing to the communities in which we operate. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
• Job Type.
• Regular Sales Operations Sales

Experience:

1 year required

Skills:

Problem Solving, CAD, Data Analysis, English

Job type:

Full-time

• Implement dynamic, velocity-based slotting logic that leverages seasonal trends and order affinity to position high-demand SKUs for minimal travel and maximum accessibility.
• Engineer high-density storage models and long-range capacity forecasting to maximize cubic utilization while aligning the physical footprint with projected inventory growth.
• Architect end-to-end warehouse designs and storage type assignments that integrate s ...
• Develop shrinkage heatmapping and predictive loss models to visually identify high-risk zones and inventory categories prone to physical or systemic discrepancies.
• Design a comprehensive cycle count and stocktake framework that prioritizes high-value, high-velocity SKUs to ensure real-time inventory integrity with minimal operational disruption.
• Build statistical root cause models to analyze variances, distinguishing between administrative errors and physical theft to drive targeted shrinkage reduction initiatives.
• Redesign operational control points and systemic validation steps, engineering loss attribution modeling to assign financial accountability across the entire product lifecycle.
• Requirements: 1-5 years of experience in warehouse layout planning, facility management, or supply chain operations, with a proven track record in optimizing spatial layouts; candidates with relevant internship experience in large-scale warehouses or distribution centers are considered.
• Strong analytical skills, with the ability to interpret data on product turnover, storage requirements, and operational flow to inform layout and slotting decisions.
• Strong problem solving skills, with the ability to deconstruct complex, ambiguous challenges into actionable solutions by leveraging data-driven logic and strategic thinking.
• Familiarity with warehouse operations (inbound, outbound, inventory management) and material handling equipment, understanding how their workflows interact with spatial design.
• Knowledge of storage systems (e.g., pallet racking types, shelving configurations) and their suitability for different product characteristics (size, weight, turnover).
• Proficiency in using layout planning tools (e.g., CAD software, warehouse simulation tools) and data analysis tools (e.g., Excel, SQL) to design layouts and track space utilization metrics.
• Experience in developing layout documentation, zone management rules, and training materials for warehouse staff.
• Adaptability to adjust layouts in response to dynamic factors such as business growth, new product lines, or technological upgrades.
• Good communication and collaboration skills to work with cross-functional teams (inbound, outbound, inventory, equipment maintenance) and gather input on layout needs.
• Familiarity with safety regulations and industry standards related to warehouse layout (e.g., fire codes, aisle width requirements) is preferred.
• Proficient in verbal and written English communication, with the ability to document layout plans and collaborate with international teams if needed.

Job type:

Internship

• Understanding business objectives and designing surveys to discover prospective customers preferences
• Analyzing statistical data using modern and traditional methods to collect it
• Collecting data on consumers, competitors and marketplace and consolidating information into actionable items, reports and presentations
• Monitor and predict sales and marketing trends.
• Measure how well marketing strategies and programs are working
• Support creation of quality measurements to track communication improvements in both internal and external channels
• Support creation of key insights & analysis of corporate communication
• Support in creating communication strategies in/externally and work closely with content creators.
• Qualifications: 3rd or 4th year student in a major in Marketing / Business / Communication or in any related field Excellent communication and presentation skills Have knowledge of Microsoft Office, particularly Excel Strong passion to learn and possession of growth mindset Fluent in both Thai and English (especially in reading and writing) Able to work under pressure and prioritize tasks Able to work independently and in a team environment Be open-minded and resilient Knowledge in AI and ability to use AI-related tools and technologies.
• Location: Head Office: Chatuchak, SJ Infinite One Business Complex

Experience:

8 years required

Skills:

Compliance, Automation, English

Job type:

Full-time

• Define, plan, and coordinate inspections for goods purchased overseas in collaboration with Dextra QA/QC teams in China, India, and other regions. Approved third-party inspection agencies when applicable.
• Ensure inspections meet project quality, cost, and delivery requirements.
• Perform and/or follow up on inspections for critical parts and projects at suppliers locations when required.
• Monitor and support inspection activities conducted by regional QA/QC teams.
• Review, consolidate, and formally report inspection results.
• Identify, document, and track non-conformities, ensuring timely corrective and preventive actions (CAPA) with suppliers.
• Support supplier qualification, evaluation, and continuous improvement initiatives, including supplier audits upon Supply Chain request.
• Quality Control Leadership Across Production Sites Lead and harmonize QC practices across all Dextra production sites (Thailand, China, Hong Kong, India).
• Develop, standardize, and deploy Inspection & Test Plans (ITPs) and QC procedures to ensure consistency and compliance.
• Shift QC focus from end-of-line inspection to process-oriented quality control, embedding quality at every production stage.
• Plan, monitor and implement the QC equipment and tools calibration plan.
• Collaborate with engineering, production, and operations teams to integrate QC automation and advanced inspection technologies where feasible.
• Drive continuous improvement initiatives to enhance quality, efficiency, and scalability.
• Monitoring, Audits & Compliance Monitor QC performance across sites using KPIs such as Process capability Index (Cpk), PPM, Defect rates, Customer complaints, Wastes, Non quality costs.
• Identify gaps, risks, and improvement opportunities, and drive corrective actions.
• Maintain and continuously update QC procedures and work instructions related to supplier and production quality.
• Customer Quality Support Act as a key quality interface for customers on quality-related matters.
• Visit customers sites when direct engagement is required to support issue resolution.
• Work closely with operations and engineering teams to define and implement corrective solutions.
• Training, Capability Building & Innovation Design and deliver training programs to upskill SQE and QC teams on Advanced quality tools, Statistical process control, Root cause analysis, International best practices.
• Promote a strong quality culture focused on prevention, ownership, and continuous improvement.
• Lead the adoption of data-driven and automated quality systems to improve accuracy, efficiency, and traceability.
• Nuclear safety Ensure that nuclear safety is taken into account in decision making and actions, and that it always takes precedence over any other consideration.
• Use a balanced, rigorous, and prudent approach to decision making with respect to quality, cost, and schedule such that nuclear safety is never compromised.
• Ensure that involved personnel understand not only their own responsibilities and the consequences of mistakes, but also those of their immediate colleagues and how these responsibilities complement each other.
• Ensure that key operational and technical positions are filled by competent and knowledgeable persons, and that they are empowered to speak openly.
• Adopt and encourage a questioning attitude, particularly when choices, or lack thereof, are presented.
• Challenge unsafe decisions, acts, behaviors, and conditions.
• Take prompt conservative and preventive actions when an incident that could affect nuclear safety is reported, even if not yet fully understood or documented.
• Communicate transparently to the Board of Directors any issue which might compromise nuclear safety, including any human, technical or organizational issue.
• Qualification Requirements: Bachelor s degree in engineering i.e., Civil or Mechanical or IndustrialScience or related field.
• Minimum 8-12 years of experience in Quality Control, Supplier Quality Engineering, or Manufacturing Quality, preferably in an international industrial or manufacturing environment.
• Strong background in supplier quality management and overseas inspections, especially in Asia (China, India).
• Hands-on experience in factory QC operations, inspections, testing, and process control.
• Exposure to multi-site or group-level quality standardization.
• Experience working closely with Supply Chain, Engineering, Operations, and Production.
• Solid knowledge of manufacturing processes, inspection/testing methods, laboratory quality systems, and equipment control.
• Practical experience with ITPs, non-conformities, CAPA, quality KPIs (Cpk, PPM), and ISO standards.
• Strong command of Lean, Six Sigma, PDCA, and root cause analysis.
• Proven leader able to influence multicultural, international teams.
• Analytical, customer-focused, and solution-oriented.
• Clear communicator, fluent in English (additional languages are a plus).
• Willing to travel internationally as required.

Experience:

3 years required

Skills:

Industry trends, SQL, NoSQL, English

Job type:

Full-time

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.