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Experience:

7 years required

Skills:

Business Development, Project Management, English, Thai

Job type:

Full-time

• Integrate, formulate, and execute personalized omnichannel marketing strategies, covering marketing communications, multi-channel campaign management, and customer loyalty initiatives.
• Create and manage a consumer insights plan to understand trends, consumer attitudes and behaviors, functional and emotional requirements, consumption occasions, shopper needs, and translate these findings into actionable insights for brand positioning and messaging.
• Capture and analyze customer data across all communication channels throughout the customer lifecycle.
• Drive the utilization of data for commercial purposes, leading analysis and acting as a catalyst for change (insights generation, execution of action plans, measurement, and change management).
• Manage and strengthen relationships with business users to maximize data for commercial purposes and create actionable insights from various existing data sources.
• Initiate ideas, create a roadmap, and execute plans for new data acquisition to propel the business forward.
• Collaborate seamlessly with marketing, analytics, products, and IT teams on analytics deliverables and work processes.
• Key Qualification.
• Education (Minimum qualifications required).
• Bachelor / Master degree.
• Business Administration, Economics, Statistics, or a related field.
• Experience (Minimum professional experience required).
• Proven 7 years of experience in customer insights and commercial analysis, with expertise in at least one of the following fields: retail, pricing, promotions, CRM, or media measurements.
• Experience in retail, real estate industry is a plus.
• Be able to communicate in English.
• Skills and Knowledge (Minimum specifics skills and competencies required).
• A results-oriented, resilient professional who is open to collaborating with individuals from diverse data literacy backgrounds.
• Highly proficient in data analytics skills, including the use of visualization and analytical tools for commercial purposes.
• Exceptional communication and data translation abilities for effective engagement with business users, coupled with strong presentation and interpersonal skills in both Thai and English.
• A background in business development related to insights or platform solutions would be a valuable asset.
• Demonstrated excellence in project management and organizational skills, as well as strong interpersonal capabilities.

Skills:

Architecture, Big Data, Teamwork, SQL, ETL

Job type:

Full-time

• Data management developer is responsible for the successful delivery of business intelligence information to the entire organization and is experienced in BI development and implementations.
• Design stable, reliable and effective data architecture and data mart.
• Understand of BI best practices and be able to create relational structures, dimensional data modeling, structured query language (SQL) skill, data warehouse and reporting techniques, performing ETLs and validating results with business representatives ...
• Support implemented BI solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
• Bachelor or Master Degree in Computer Engineering, Computer Science, Technology information systems, or any other IT related field.
• E.
• xperiences in data warehousing development and architecture hands-on physical/logical database and data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and teamwork.

Experience:

5 years required

Skills:

Business Development

Job type:

Full-time

• Drive Data Center business development activities in Thailand, including new customer acquisition and expansion within existing accounts.
• Identify and pursue business opportunities with data center owners and operators, colocation providers, EPCs, contractors, and facility management companies.
• Build and maintain strong relationships with key stakeholders, including operators, consultants, engineering teams, and facility managers.
• Engage with customers throughout various project phases, including design, construction, commissioning, and operational stages, to position Chem-Aqua's water treatment solutions effectively.
• Collaborate closely with the hiring manager and local sales teams to align business development strategies and execute growth plans.
• Coordinate with local and regional Corporate Account teams to support strategic opportunities and key customer initiatives.
• Support vendor qualification, onboarding, and compliance processes with customers and project stakeholders.
• Conduct customer meetings, site visits, technical discussions, and presentations to understand customer needs and promote value-based solutions.
• Maintain accurate account, opportunity, and pipeline information within Salesforce.
• Support proposal preparation, commercial discussions, and follow-up activities to drive successful project conversion.
• What You 'll Bring to Us.
• Bachelor's degree in Engineering, Chemistry, Environmental Science, or a related technical field.
• Minimum 5-8 years of experience in water treatment, industrial services, industrial chemicals, or related industries.
• Exposure to data center environments or other mission-critical industries is preferred.
• Proven experience in business development, technical sales, or key account management.
• Basic understanding of cooling water systems, industrial water treatment programs, or facility operations.
• Strong communication, presentation, and stakeholder management skills, with the ability to engage both technical and commercial audiences.
• Self-motivated, results-oriented, and capable of working independently in a customer-facing environment.
• Experience working with EPC contractors, engineering consultants, facility management companies, or industrial end users is advantageous.
• Familiarity with CRM platforms, particularly Salesforce, and customer compliance processes is a plus.
• Proficiency in English and Chinese (Mandarin) is essential.
• What We Offer.
• Continuous professional development with opportunities for career growth across a global organization.
• Access to a wide range of internal and external training programs through our learning platform.
• A collaborative, inclusive, and innovative work environment.
• At Solenis, we understand that not every candidate will meet every qualification listed. If you believe your skills and experience can bring value to the role, we encourage you to apply.
• We recognize our people as our greatest asset and offer competitive compensation, comprehensive benefits, and ample opportunities for professional growth and development. If you're looking to be part of a world-class organization and contribute to meaningful work, we look forward to hearing from you.
• Solenis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status.

Skills:

Leadership Skill

Job type:

Full-time

• Partner with business leaders across data center operations, engineering, construction, and corporate functions to develop and execute HR strategies aligned with business objectives.
• Serve as a trusted advisor on organizational design, workforce planning, succession planning, and talent management to support business growth and operational excellence.
• Lead manpower planning initiatives and collaborate with Talent Acquisition teams to ...
• Drive performance management processes, including goal setting, performance reviews, talent calibration, and employee development planning.
• Identify workforce capability gaps and partner with Learning & Development teams to implement technical, leadership, and professional development programs.
• Support organizational transformation, business expansion, and change management initiatives related to new data center projects and digital infrastructure growth.
• Foster a high-performance and inclusive culture by leading employee engagement, retention, and organizational effectiveness initiatives.
• Manage employee relations matters and provide guidance to leaders on employee performance, disciplinary actions, and workplace issues in compliance with company policies and labor laws.
• Partner with Compensation & Benefits teams to support salary reviews, incentive programs, and talent retention strategies while ensuring market competitiveness.
• Ensure compliance with labor laws, employment regulations, health and safety requirements, and corporate governance standards across all assigned business units.

Skills:

Project Management, Architecture, Power BI, Cloud Computing, English

Job type:

Full-time

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor's degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.

Skills:

Electronics, Automation

Job type:

Full-time

The company, founded in 1988, is one of the leading producers in the world for power and thermal management solutions. Delta is also a major regional player in several product segments including industrial automation, displays, and networking. As an energy-saving solutions provider with core competencies in power electronics and innovative research and development, Delta's business categories include Power Electronics, Automation, and Infrastructure.

Skills:

Project Management, Architecture, SQL, ETL, English

Job type:

Full-time

• A Business and Data Analyst is a data analytic expert, who identify the business needs into data model, analytics, and business intelligent solutions. The job holder must be able to design, build, and implement BI solutions, with a view to driving business results.
• Key Accountabilities.
• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs ...
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor's degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

Experience:

5 years required

Skills:

Architecture, Leadership Skill, Python

Job type:

Full-time

• Location of CP AXTRA (Head Office) 3-4 Days: https://share.google/V5Q7MuC44FS341Xhx.
• Location of CP AXTRA Lotus's (Nawamin Office) 1 day: https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6.
• Working style.
• 4-5 Days at the office + work from anywhere.
• Accompany senior management on store visits on Saturdays (half-day or full-day, not every week.
• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years.
• of experience in.
• Data Platform Engineering, Data Engineering, Big Data, or AI Platform development,.
• with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
• Experience with LLM, RAG, AI Chatbots, Agentic AI, Vector Databases, Embedding Pipelines, Feature Store, or Recommendation Systems is highly preferred.
• Experience integrating enterprise applications through REST APIs, event-driven architectures, and microservices.
• Strong understanding of Data Governance, Data Quality, Data Lineage, Metadata Management, Data Security, and Data Observability.
• Experience with Azure, AWS, or Google Cloud Platform is preferred.
• Experience with Git, Docker, Kubernetes, CI/CD, DataOps, MLOps, MLflow, or Infrastructure as Code is an advantage.
• Retail, Wholesale, or E-Commerce industry experience is highly preferred.
• Proven track record in delivering enterprise AI platforms, data platforms, or large-scale analytics solutions.
• Strong analytical thinking, problem-solving, communication, stakeholder management, and leadership skills.
• Passion for building scalable engineering platforms, mentoring teams, and delivering business impact through data and AI.
• CP AXTRA | Lotus's.
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

Experience:

3 years required

Skills:

Business Development

Job type:

Full-time

• Work with the team to propose new business models and opportunities in the energy sector, focusing on digital infrastructure and Data Center developments to create sustainable expansion opportunities in Thailand.
• Seek and select business opportunities in new projects such as Wind, Solar Rooftop, EV Chargers, และ Data Center Co-location/Enterprise facilities in line with the company's policies.
• Analyze the synergy between renewable energy solutions and high-demand energy consum ...
• Project Execution & Analysis.
• Collaborate in the development, planning, and analysis of business projects, strategies, and comprehensive financial models, including feasibility studies for Data Center site selection and energy infrastructure integration.
• Develop and implement projects and drive new Wind, Solar Rooftop, and EV Charger initiatives, specifically targeting energy supply solutions for Data Centers to ensure 24/7 green power reliability.
• Conduct due diligence and develop a deep understanding of clients' businesses, with a focus on the technical and energy requirements of the cloud service and telecommunications industries.
• Partnership & Financial Strategy.
• Build sustainable business partnerships with both public and private sectors, including Hyperscalers and Data Center operators, to enhance business growth.
• Study mergers and acquisitions (M&A) both domestically and internationally, evaluating potential targets in the renewable energy and digital infrastructure space.
• Formulate and execute financial and commercial strategies tailored to client objectives, addressing the unique CAPEX/OPEX structures of energy-intensive assets.
• Leadership & Reporting.
• Prepare and oversee the development of pitch decks and presentations that highlight the value proposition of integrated energy-data solutions.
• Prepare accurate marketing and progress reports systematically for management to support strategic decision-making.
• Support and guide team members in financial modeling and transaction execution (for senior roles).
• Bachelor's in Engineering,Electrical Engineering or related fields.
• Master's degree in Finance,MBA or related fields.
• At least 3-7 years of experience in developing Wind, Solar Rooftop and Digital infrastructure and Data Center Developments Projects, EV Charger projects or related work.
• Experience in business project planning and analysis, business strategy, financial model analysis, and feasibility studies.
• Experience in Investment Banking, Private Equity, Corporate Finance, or a related financial sector.
• Relevant experience in the energy industry will be considered a plus.
• Strong presentation and negotiation skills.
• Proficient in Microsoft Office.
• Good command of English, with a minimum TOEIC score of 700.
• Knowledge of sales processes and methods, as well as an overall understanding of energy business strategy development.
• Basic legal knowledge, including NDAs, PPAs, and land contracts.
• How to apply.
• Click APPLY NOW for submit your application.
• Interested candidates are invited to send with full resume, stating present and expected salaries, and enclosing a recent photograph to the address below.
• Working Location: Park Ventures Ecoplex, BTS Phloen Chit.

Experience:

5 years required

Skills:

Procurement

Job type:

Full-time

• Procure goods, materials, components, or services in line with specified cost, quality and delivery.
• targets.
• Support Procurement function and other relevant departments by communicating and monitoring any supply problems potential to business risks and impact to supply chain operations.
• Act as an interface between suppliers and other relevant departments on Procure to Pay (P2P).
• process including new projects/ activities.
• Develop/ execute product category/ commodity strategies by undertaking market analysis and.
• research.
• Work closely with others in Procurement and relevant departments to review and execute opportunities for continuous improvement.
• Negotiate contracts, improve process, terms, and conditions with suppliers and initiate opportunities for cost savings by procurement negotiation, standard tools, or best practices.
• Collate Request for Quotation (RFQ) responses and complete cost comparison.
• Co-ordinate with Planning team on purchasing volume, execute Procure to Pay (P2P) process and update information in SAP system.
• Negotiate price and volume to maximize the company's profit. Ensure contractual and procurement policies of the authorized suppliers are followed.
• Co-ordinate with supplier to ensure that all shipping schedule and documents are received on time as specified for Customs clearing process.
• Co-ordinate with relevant parties (e.g. Warehouse, Operations, Accounting, Regulatory Affairs, and Business Units) to support inbound and outbound Customs Clearing activity.
• Request information for new material and new vendor code creation by coordinating with Planning and Master Data team.
• Report and maintain information on supplier non-conformance and quality problems in conjunction with company quality standards and Job 7 requirements.
• Ensure that all business activities are proceeded according to the working instructions as specified in the Integrated Management System.
• Ensure new products and new suppliers are introduced to Brenntag through satisfying the minimum QSHE and 'Product Stewardship' procedure including financial requirement review with all related parties prior to being purchased.
• Work closely with Planning team on the right purchase decision through synchronization of purchases and inventories with sales and customer demand to deliver desired service level while optimizing working capital targets.
• Assess and evaluate suppliers and contribute to performance review to ensure contract compliance.
• Undertake other duties as may be assigned by the superiors.
• Bachelor's degree in any related fields.
• A professional certification in Procurement, Logistics, Supply Management, or Supply Chain.
• Management is an advantage.
• Minimum 5 years as a purchasing/procurement professional with hand-on purchasing.
• experience in handling multiple projects or a large number of product SKU's.
• Strong hands-on experience in the chemical industry.
• Experience in coordinating with shipping lines, tank operators, and logistics service providers for.
• ISO Tank movements are optional.
• Experience in developing and coordinating good working relationships with all levels within the.
• organization as well as suppliers and key customers is an advantage.
• Experience in developing or executing a process improvement tool to ensure 'Procure to Pay'.
• effectiveness and efficiency for an organization and stakeholders along the supply chain is preferred.
• Good to excellent communication skills in both English and Thai (written and spoken).
• Contract management and supplier management experience.
• Strong problem solving and negotiation skills.
• Being energetic, organized, result-driven, and customer centric.
• Ability to prioritize multiple tasks and projects with limited direct supervision.
• Ability to respond and adapt to changing business conditions and evolving strategic guidelines.
• Computer literate and knowledgeable in using MS Office Programs and SAP.
• Ability to demonstrate desired leadership qualities to fulfill the role.
• Results orientated with the ability to plan and deliver against project/ task deadlines.
• Ability to demonstrate commercial and financial awareness.
• Brenntag TA Team.

Experience:

3 years required

Skills:

Data Analysis, Power BI, Tableau, Python, Java, SQL

Job type:

Full-time

• Collect, organize and interpret statistical information.
• Identify, manage and design the data environment including data sources, security, and metadata.
• Scrutinize information using data analysis tools.
• Generate meaningful results to support managements making important decision by identifying various facts and trends.
• Prepare reports and presentations based on analysis and present to managements.
• Be responsible for data governance as a data steward team member.
• Support the data warehouse in identifying and revising reporting requirements.
• Work with other departments to outline detailed requirements for a solution and ensure the delivered solution meets business requirements.
• High caliber Bachelor's/Master's degree in Computer Science, Computer Engineering, Applied Statistic or other related fields.
• 3-5 years of work experience as a data analyst, business analyst or a related field.
• Ability to work with stakeholders across departments in the organization and external vendors.
• Demonstrated experience in handling large data sets and relational databases.
• Knowledge of data visualization software (e.g. Power BI, Tableau).
• Working knowledge with programing languages (e.g. SQL, Python, R, Java) will be advantageous.
• Problem-solving and analytical skills.
• Good team-player.
• Self-motivation.
• Good communication and interpersonal skills.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• Apply now ".

Experience:

3 years required

Skills:

.NET, SQL

Job type:

Full-time

• Gathers and analyzes software requirement to efficiently address business needs.
• Provides team and user with technical recommendation and procedural design.
• Liaison between user, operation team, other support area, IT vendor to provide superior customer service.
• Develops functional specifications and system design specifications for user engagements.
• Responsible for the application design, application development that meets system standards from beginning to end.
• Co-operates and facilitates team and related participant interaction.
• Strong background in SQL programming and Microsoft SQL Server 2017 management.
• Ability to participate and share knowledge for Business process re-engineering, Process control review and design, Lean.
• Male/Female, Bachelor or higher degree in Computer Science or related field, Ages not over 30 years.
• Knowledge of RDBMS, Data Modeling, Data Warehouse and.NET is preferable.
• Self-motivated, ambitious and quickly absorb.
• Problem solver.
• Strong analytical and organizational skills.
• Work independently and effectively as part of a team.
• Handling multiple tasks and responsibilities in a dynamic environment.
• Excellent verbal and written communication skills.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• knowledge of financial product such as Equity, Derivative, Mutual Fund, Stock lending and borrowing etc. is preferable.
• Apply now ".

Experience:

1 year required

Skills:

System Administration, Problem Solving, Procurement, Accounting, SAP

Job type:

Full-time

• สนับสนุนงานปฏิบัติการด้านบัญชี (Accounting Operations).
• สนับสนุนการดำเนินงานด้านบัญชีประจำวันให้เป็นไปอย่างถูกต้อง ครบถ้วน และทันตามกำหนด.
• จัดเตรียม ตรวจสอบ และประสานงานเอกสารประกอบการบันทึกบัญชีและการขออนุมัติต่าง ๆ.
• สนับสนุนการดำเนินงานในช่วงปิดบัญชีประจำเดือนและประจำปี.
• ประสานงานด้านสินทรัพย์ถาวร เช่น การรับรู้สินทรัพย์ การเพิ่มมูลค่า การด้อยค่า การจำหน่าย และเอกสารที่เกี่ยวข้อง.
• บริหารจัดการงานสินค้าคงเหลือและคลังสินค้า (Inventory & Warehouse Operations).
• ดำเนินการบันทึกรายการเคลื่อนไหวของสินค้าคงเหลือในระบบ SAP เช่น การรับสินค้า การเบิกจ่าย การโอนย้าย การปรับปรุง และการตัดจำหน่ายสินค้า.
• ประสานงานการตรวจนับสินค้าคงเหลือประจำเดือน ประจำปี และการตรวจนับร่วมกับผู้ตรวจสอบภายในหรือผู้สอบบัญชี.
• ติดตาม ตรวจสอบ และกระทบยอดสินค้าคงเหลือ พร้อมประสานงานแก้ไขความคลาดเคลื่อนกับหน่วยงานที่เกี่ยวข้อง.
• จัดทำรายงานสินค้าคงเหลือและรายงานควบคุมสต็อกเพื่อสนับสนุนการดำเนินงาน.
• ดูแลข้อมูลหลักในระบบ SAP (SAP Master Data & System Administration).
• จัดทำข้อมูล Material Master ในส่วน Sale View ในส่วน Maaterial Master.
• ประสานงานการขอสร้างหรือเปลี่ยนแปลงข้อมูลหลักกับหน่วยงานที่เกี่ยวข้อง.
• ตรวจสอบข้อมูล Interface ในระบบ SAP และประสานงานแก้ไขปัญหาที่เกี่ยวข้องกับการปฏิบัติงาน.
• สนับสนุนงานด้านรายได้ และลูกหนี้ของธุรกิจ (Procurement & Business Support).
• ประสานงาน ตรวจสอบ และเปิด SO สำหรับรายได้หลัก และรายได้อื่น.
• สนับสนุนการจัดทำเอกสารการออกใบแจ้งหนี้ การปรับปรุงการขาย การรับคืนสินค้า และธุรกรรมที่เกี่ยวข้อง.
• ติดตามและประสานงานการเรียกเก็บหนี้ค้างชำระร่วมกับหน่วยงานที่เกี่ยวข้อง.
• จัดทำรายงานการติดตามหนี้ รายได้ค้างรับ และข้อมูลประกอบที่เกี่ยวข้อง.
• ประสานงานจัดทำ ดูแลและจัดเก็บเอกสาร สัญญา และเอกสารทางบัญชีให้ถูกต้องและเป็นระบบ.
• สนับสนุนงานจัดซื้อ และค่าใช้จ่ายสำนักงาน (Procurement).
• ดำเนินการจัดทำใบขอซื้อ (PR) และการรับสินค้า/บริการ (GR) ในระบบ SAP.
• ทำเอกสารขออนุมัติจ่ายค่าใช้จ่ายสำนักงาน และแนบเอกสารเข้าระบบ DTS.
• การจัดทำรายงานและการประสานงาน (Reporting & Coordination).
• จัดทำรายงานด้านการปฏิบัติงานจากระบบ SAP และ Microsoft Excel เพื่อสนับสนุนการบริหารงาน.
• ประสานงานกับหน่วยงานภายในและภายนอก เช่น บัญชี คลังสินค้า จัดซื้อ ฝ่ายขาย การเงิน และหน่วยงานที่เกี่ยวข้อง เพื่อให้การดำเนินงานเป็นไปอย่างมีประสิทธิภาพ.
• สนับสนุนการตรวจสอบจากผู้ตรวจสอบภายใน ผู้สอบบัญชี และหน่วยงานที่เกี่ยวข้อง โดยจัดเตรียมข้อมูลและเอกสารที่จำเป็น.
• ปฏิบัติงานอื่น ๆ ตามที่ได้รับมอบหมาย.
• สำเร็จการศึกษาระดับปริญญาตรี สาขาการบัญชี การเงิน บริหารธุรกิจ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ทำงาน 3-5 ปี ด้านงานปฏิบัติการบัญชี (Accounting Operations) การควบคุมสินค้าคงเหลือ (Inventory Control) หรือการใช้งานระบบ SAP ที่เกี่ยวข้อง.
• มีประสบการณ์ในการใช้งานระบบ SAP จะได้รับการพิจารณาเป็นพิเศษ.
• มีทักษะการใช้งาน Microsoft Excel ในระดับดี และสามารถจัดทำรายงานหรือวิเคราะห์ข้อมูลเบื้องต้นได้.
• มีทักษะในการประสานงาน สามารถทำงานร่วมกับหลายหน่วยงานได้อย่างมีประสิทธิภาพ.
• สามารถวางแผนและบริหารจัดการงานหลายด้านพร้อมกันได้ รวมถึงทำงานภายใต้ระยะเวลาที่กำหนด.
• ความรู้ด้านงานปฏิบัติการบัญชี (Accounting Operations).
• ความรู้ด้านการบริหารและควบคุมสินค้าคงเหลือ (Inventory & Stock Control).
• ความสามารถในการใช้งานระบบ SAP.
• ความรู้ด้านกระบวนการจัดซื้อและการดำเนินงาน PR/PO.
• ความละเอียดรอบคอบและใส่ใจในรายละเอียด (Attention to Detail).
• ทักษะการวิเคราะห์และแก้ไขปัญหา (Problem Solving).
• ทักษะการประสานงานและการทำงานร่วมกับหน่วยงานต่าง ๆ (Cross-functional Coordination).
• ทักษะการวางแผนและบริหารจัดการเวลา (Time Management).

Experience:

1 year required

Skills:

Analytical Thinking, Project Management, Power BI, ETL, English

Job type:

Full-time

• Drive the development and implementation of AI & Data Management and Governance frameworks across SCGP. Ensure high data quality, secure data practices, and enable business units to effectively leverage data for decision-making.
• Collaborate with stakeholders to develop and implement AI & Data Management and Governance systems aligned with SCGP framework and roadmapExecute system development initiatives and ensure successful adoption across business units to support business objectivesPromote and support the development of Data & AI capabilities across teams i ...
• Bachelor's or Master's Degree in Computer Engineering, Computer Science, IT, Business IT, MIS, or related fields (Bachelor GPA > 2.70, Master GPA > 3.30)3-6 years of experience in data management, data governance, or related areasStrong knowledge in:Data warehouse design, ETL / data pipeline development, SQL, PythonData governance, data quality, metadata / master data management, PDPA / GDPRData tools such as Power BI, Power AppsStrong analytical thinking with ability to identify and solve data-related issues systematicallyGood stakeholder management and cross-functional collaboration skillsStrong planning and project management skills with ability to drive roadmap executionGood communication skills and ability to promote data & AI adoption across the organizationAttention to detail, adaptability, and continuous learning mindsetGood command of English in verbal and written (TOEIC > 550)Willing to work onsite at SCG Packaging Public Company Limited (Bangkok).

Experience:

3 years required

Skills:

.NET, SQL

Job type:

Full-time

• Gathers and analyzes software requirement to efficiently address business needs.
• Provides team and user with technical recommendation and procedural design.
• Liaison between user, operation team, other support area, IT vendor to provide superior customer service.
• Develops functional specifications and system design specifications for user engagements.
• Responsible for the application design, application development that meets system standards from beginning to end.
• Co-operates and facilitates team and related participant interaction.
• Strong background in SQL programming and Microsoft SQL Server 2017 management.
• Ability to participate and share knowledge for Business process re-engineering, Process control review and design, Lean.
• Male/Female, Bachelor or higher degree in Computer Science or related field, Ages not over 30 years.
• Knowledge of RDBMS, Data Modeling, Data Warehouse and.NET is preferable.
• Self-motivated, ambitious and quickly absorb.
• Problem solver.
• Strong analytical and organizational skills.
• Work independently and effectively as part of a team.
• Handling multiple tasks and responsibilities in a dynamic environment.
• Excellent verbal and written communication skills.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• knowledge of financial product such as Equity, Derivative, Mutual Fund, Stock lending and borrowing etc. is preferable.
• Apply now ".

Experience:

4 years required

Skills:

ERP

Job type:

Full-time

• The MIS Manager is responsible for the oversight and development of the company's complete IT infrastructure, including networks, servers, Point of Sale (POS) systems, and Enterprise Resource Planning (ERP) systems. This role is crucial for analyzing data to support key business decisions.
• You will lead the IT team in managing various projects, ensuring data security, and providing technical support to all users, guaranteeing that our technology fully supports the company's business objectives.
• Develop and implement a comprehensive MIS strategy aligned with business goals.
• Oversee the integration of data from POS, ERP, CRM, e-commerce, and supply chain systems.
• Define and enforce data governance standards to ensure data integrity and consistency across stores and channels.
• Plan, design, and manage the entire corporate network, server, and database infrastructure to ensure high stability and availability.
• Oversee and enhance core retail business systems, including POS, Warehouse Management Systems (WMS), and ERP, to optimize performance.
• Manage data backup procedures and develop a Disaster Recovery Plan to ensure business continuity.
• Manage databases for sales, customer, and inventory data.
• Develop reports and dashboards using Business Intelligence tools (e.g., Power BI, Tableau) to provide actionable insights to management for strategic decision-making (e.g., sales analysis, customer behavior, promotional effectiveness).
• Lead IT projects from requirement gathering and planning to budget control and timely delivery.
• Coordinate with vendors for the procurement, negotiation, and implementation of new hardware and software.
• Establish and enforce IT security policies and measures to protect company data and systems, ensuring compliance with relevant standards and regulations (e.g., GDPR, PDPA).
• Lead, mentor, and develop the skills of the MIS team members.
• Supervise the IT Support/Helpdesk service to provide effective technical assistance to employees at the head office and retail branches.
• Bachelor's Degree or higher in Computer Science, Information Technology, or a related field.
• A minimum of 7-10 years of experience in MIS or a related IT field.
• At least 3-5 years of experience in a management or team leadership role.
• Crucially, direct experience in the retail, FMCG, or a multi-branch business environment is highly preferred.
• Expertise in managing Windows Server, Networks (LAN/WAN), and Virtualization (VMware/Hyper-V).
• Strong knowledge of database management (SQL Server).
• Hands-on experience with ERP systems (e.g., SAP, Microsoft Dynamics 365, Oracle) and retail POS systems.
• Proficiency in using Business Intelligence (BI) tools to create reports and dashboards.
• Solid understanding of IT security principles and data protection regulations.
• Strong leadership and team management abilities.
• Excellent project management, planning, and budgeting skills.
• Exceptional communication and interpersonal skills.
• Effective analytical and problem-solving capabilities.
• Proactive, innovative, and eager to learn new technologies.

Skills:

Architecture, Python, Apache, Kafka, SQL, ETL

Job type:

Full-time

• Data Engineer is responsible for handling the design and construction of scalable data management system including data storage, data piping, ETL and interfacing with analytics platforms. The jobholder needs to manage all data aspects related to public cloud solution, data lake, data warehouse, reporting, etc. The job holder is also required to participate in gathering data requirements, modelling, and testing as well as define flow of data in a project from input through to storage including interfaces with analytics tools or end user software.
• Key Accountabilities.
• Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
• Define and implement data flows through/ and around digital products.
• Participate in data modeling and testing to ensure smooth operations.
• Extract relevant data to solve analytical problems, and ensure development teams have the required data.
• Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
• Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
• Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
• Track analytics impact on business, and provide recommendation for better result.
• Monitor market watch, and provide recommendation to improve efficiency of current projects.
• Professional Knowledge & Experiences.
• Bachelor's Degree in computer science, statistics, or related technical discipline.
• 5+ years' experience with advanced data management system and master data management.
• Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
• Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
• Clear understanding in different data domains of operations, customers, etc.
• Ability to quickly learn new technologies.
• Additional Desirable Qualification.
• CORE Competencies.

Experience:

5 years required

Skills:

SAP, ERP, Thai

Job type:

Full-time

• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for a.
• Supply Chain Executive (Warehouse & Transportation).
• to manage inventory accuracy, coordinate inbound and outbound logistics, and oversee 3PL/outsourced warehouse performance. This role ensures that stock is accurately tracked, warehouse operations run smoothly, and fulfillment standards are consistently met.
• Send Advanced Shipping Notices (ASN), verify incoming stock, monitor outbound orders to meet SLAs (especially during campaigns), and handle exceptions (returns, damages, claims).
• Monitor 3PL KPIs (packing accuracy, speed), review/verify monthly service invoices, and escalate service quality issues with data-backed solutions.
• Reconcile stock across systems (SAP, WMS, Fulfillment) for 100% accuracy, monitor safety stock/slow-moving inventory, and lead cycle counts.
• Prepare logistics performance reports, identify workflow inefficiencies, and support SOP updates.
• Bachelor's degree in Supply Chain, Logistics, Business Administration, or a related field.
• 2-4 years of experience in warehouse operations, inventory management, or 3PL coordination.
• Experience with WMS, ERP/SAP, or inventory systems is required.
• Familiarity with e-commerce fulfillment operations is a strong advantage.
• Strong numerical accuracy and reconciliation skills.
• Ability to communicate clearly with warehouse partners and internal teams.
• Proactive, detail-oriented, and comfortable working with operational data on a daily basis.

Experience:

7 years required

Skills:

Architecture, Recruitment, node.js, YouTube, Python, SQL

Job type:

Full-time

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training.
• You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned,.
• reviewable assets that return consistent, current answers.
• You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces.
• Model governed metrics, dimensions, joins, and grain for business domains.
• Structure expert context, glossaries, and validated question patterns as Git-reviewed assets.
• Build freshness, drift, and validation signals; treat stale knowledge as a production issue.
• Expose the layer through APIs so applications and agents get deterministic answers.
• Enable domain owners to propose, review, and publish knowledge without engineering deploys.
• Partner across analytics, product, and platform teams on access control and quality standards.
• 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling.
• Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent).
• Strong SQL and analytical modeling on OLAP / warehouse systems.
• Knowledge engineering: versioned definitions, peer review, contributor workflows.
• API / service mindset: you design for multiple consumers, not a single dashboard.
• Clear communication across engineering, analytics, and product partners.
• Open-source semantic layer engines (Cube, MetricFlow patterns).
• Agent or tool-interface experience for LLM-powered applications.
• NL-to-data products, retrieval, or evaluation harnesses.
• Python or Node.js service development.
• Large-scale e-commerce or travel analytics environments.
• Manila.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

3 years required

Skills:

Analytical Thinking, SQL, English

Job type:

Full-time

• Design, develop, and manage SCG's sales statistics databases and sales reporting systems to support performance measurement, KPI tracking, and business monitoring. Provide data insights and analytical support to internal users for planning, analyzing, and evaluating sales programs and customer benefit initiatives, enabling data-driven decision-making across the organization.
• Design, develop, and maintain sales databases, data models, and data structures to ensure data accuracy, consistency, and accessibility.
• Develop, enhance, and maintain standard and ad hoc reports, dashboards, and analytical solutions to support performance monitoring, KPI tracking, and business decision-making.
• Conduct user training and provide support to promote effective data utilization and improve data literacy across the department.
• Manage data access permissions and ensure appropriate governance, security, and compliance in the use of business data.
• Bachelor's degree or higher in Computer Science, Information Systems, Data Science, Statistics, Business Analytics, Engineering, or a related field. (A minimum GPA of 2.70 for the Bachelor's degree).
• Experience in Business Intelligence, Data Analytics, Database Development, Reporting, or related areas is preferred; fresh graduates with strong technical skills are welcome to apply.
• Strong proficiency in SQL and database management, including database design, data modeling, and data warehouse concepts.
• Strong understanding of sales performance metrics, KPIs, and business reporting concepts, with analytical thinking skills and strong business logic.
• Good communication and presentation skills to convey complex information in an easy-to-understand format. Good command of English, both written and spoken, is preferred.