เงื่อนไขการค้นหา

ทักษะ:

Problem Solving, Teamwork, Multitasking, English

ประเภทงาน:

งานประจำ

• Ensure backend operational procedures and strategies drive productivity for business.
• Implement all policies and procedures that are involved in warehouse and logistic and also ensure the warehouse operation smoothly operate under SOP/WI.
• Manage and lead efficient stock control including inventory shelf life at POS, loss prevention and annual stock take/cycle count.
• Ensure the cashier performance are under SOP and provide excellent customer service.
• Lead franchise store operation team to provide the best service to customers and achieve the sales target.
• Monitor in-store neatness of store to meet in-store s concept and standards.
• People Management Lead, monitor and motivate subordinates to perform their best performance Coach, give direction and advice subordinates for problem solving.
• Develop talent and build team capabilities and morale.
• Budget and OPEX.
• Control and monitor budgeting and all expenses and adapting analytic result for action plan revision.
• Other tasks as assigned by supervisors.
• Bachelor degree in Logistics or a related field.
• At least 10-15 years direct experience in store operation support and/or warehouse & logistic for Retail business.
• Good command in English and Thai.
• Strong leadership with proven records of successfully manages staffs.
• Able to develop a teamwork environment, and be an effective team leader as well as a team player.
• Able to work independently with minimum supervision, multitasking, and able to work well under pressure.
• Strong analytical skills and able to perform tasks accurately and reliability with excellent attention to detail.

ทักษะ:

Market Research, Research, Financial Modeling, English

ประเภทงาน:

งานประจำ

• Conduct market research and analysis to identify emerging trends, competitive landscapes, and growth opportunities within target markets.
• Analyze industry data, customer insights, and market dynamics to assess market size, segmentation, and potential market penetration strategies.
• Evaluate potential business opportunities, partnerships, and investments through financial modeling, feasibility studies, and risk assessments.
• Collaborate with sales, marketing, and product teams to develop go-to-market strategies and sales enablement initiatives for new business initiatives.
• Support the development of business cases, proposals, and presentations to stakeholders, including senior management, investors, and partners.
• Perform competitive analysis and benchmarking to identify key competitors, market positioning, and differentiation strategies.
• Monitor key performance indicators (KPIs), metrics, and milestones to track the progress and success of team initiatives.
• Bachelor's degree or higher in Business Administration, Finance, Economics, or related field.
• Proven at least 5 years of experience as a Business Analyst, Strategy Consultant, or similar role.
• Strong analytical skills with proficiency in market research and business modeling.
• Experience with analysis tools such as Excel, Power BI, Tableau.
• Excellent communication and presentation skills, with the ability to distill complex concepts into clear and compelling narratives.
• Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
• Good command in English.

ประเภทงาน:

งานประจำ

• วิเคราะห์กระบวนการทางธุรกิจ ผ่านการค้นคว้าข้อมูล เก็บรวมรวมความต้องการ (As Is Requirement) ของผู้ใช้งาน ทำความเข้าใจ ศึกษากระบวนการ (Business Process) ตลอดจนข้อกำหนดทางธุรกิจ (Business Rules) ของหน่วยงาน และหาความรู้เกี่ยวกับธุรกิจที่เกี่ยวข้อง เพื่อทำเป็นรายงานและ Dashboard สิ่งที่ต้องพัฒนาเพิ่มเติม (Gap Analysis) ขอบเขตการทำงาน (Scope of Work) เพื่อหาวิธีการแก้ปัญหา หรือเพิ่มโอกาสทางธุรกิจด้วยเครื่องมือที่เหมาะสม.
• Key Responsibilities (หน้าที่ความรับผิดชอบหลัก).
• วิเคราะห์ข้อมูลจากภายในและภายนอกองค์กร (Internal & External Data Analysis).
• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.

ทักษะ:

Data Analysis, Industrial Engineering, Finance

ประเภทงาน:

งานประจำ

• Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
• 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. .

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Finance, Accounting, Business Development

ประเภทงาน:

งานประจำ

• Act as internal consultant to support strategy development and lead execution of key strategic projects.
• Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
• Work with head of department to plan and allocate partnership budget across channels.
• Develops and maintains productive working relationships with team members.
• Tracking business performance and create monthly summary report.
• Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
• At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
• Experience in consultancy companies Big4 is a plus.
• Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
• Creative problem solver.
• High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
• report is a plus.
• Location: True Digital Park, Punnawithi.

ทักษะ:

Statistics

ประเภทงาน:

งานประจำ

• Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
• Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
• Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
• Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
• Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
• Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
• Experience in a major financial with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• Strong storytelling and communication skills.
• Strong analytical and problem-solving skills.
• Familiarity with data validation tools.

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• 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. .

ทักษะ:

Automation, Java, RESTful

ประเภทงาน:

งานประจำ

• Design and develop the business logic and backend systems of the product, with a focus on middleware supply chain solutions, streamlining end to end warehouse operations and functions.
• Work closely with the solution architects and product owners supporting our warehouse operations teams.
• Decipher existing companies software systems and be able to hook in application to applicable data sources.
• Write both unit and integration tests, and develop automation tools for daily tasks.
• Develop high quality, well documented, and efficient code.
• Challenge ideas and opinions to avoid pitfalls and inefficient solutions.
• Experience building and supporting at least one of these types of systems: OMS, WMS, WCS.
• You have experience as a backend engineer in common languages and frameworks including Java or C#.
• You have experience working on servers both on-premises and cloud hosted.
• You have deep knowledge of object-oriented programing and engineering principles such as SOLID.
• You have significant experience writing and utilizing autonomous services-oriented restful API services and performance tuning largescale apps.
• You have experience with relational database systems including Oracle and PostgreSQL.
• You are able to write effective unit, integration, and API tests.

ทักษะ:

SQL, Oracle, English

ประเภทงาน:

งานประจำ

• Ability to read, write, and speak Thai fluently.
• Excellent proficiency in English, both spoken and written.
• 3+ years experience with PowerBI, including report creation, dashboard development, and data visualization best practices.
• Proficiency in SQL for data extraction, advanced calculation, manipulation, and analysis.
• Experience working in one or all of the areas including: E-commerce order management; logistics and warehouse operations; central inventory management and replenishment.
• Experience querying Oracle, PostgreSQL, or similar, database technologies.
• Strong understanding of APIs, un/semi structure data, data modeling, and data integration techniques.
• Able to gather requirement from business users and are able to suggest on data visualization.
• Excellent problem-solving skills, with the ability to interpret and communicate complex data insights effectively.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Market Planning, SAP, English

ประเภทงาน:

งานประจำ

• Be responsible for design, implement and deliver the functional and technical components of the planning, budgeting and forecasting solutions.
• Able to interact with clients to understand the business requirements to conclude blueprint, configuration, testing, migration, support, and continuous enhancements.
• Responsibilities include, using knowledge of accounting functions on General Ledger, Asset Accounting, Controlling and Profitability process areas.
• Focusing on SAP SAC and SAP Datasphere on development and deployment of business Intelligence Solutions to support business requirements using SAC Planning.
• SAP Business Planning and Consolidations BPC, BusinessObjects Business Intelligence BO BI and Data Warehouse BW skills will be an advantage.
• Bachelor s degree in IT or equivalent work experience.
• Minimum 2 years of experience in managing SAP Analytical and/or Reporting work streams for large or complex systems for various industry sectorsExperience on SAC BPC as a planning tool,.
• Designing implementing data models and data conversionDemonstrates thought proven abilities and technical experience with SAP.
• Analytics technologies S 4HANA Embedded Analytics, BW 4HANA, SAP Fiori, Google Azure AWS Cloud technologies and BI visualization tools.
• Good Understanding of SAP data structures, End to End dataflow, SAC predictive capabilities, augmented analytics, planning, budgeting, forecasting, etc.
• Ability to be flexible and work analytically in a problem solving environment.
• Ability to travel to client sites local or overseas.
• Excellent leadership, communication written and oral and interpersonal skills.

ทักษะ:

Compliance, Research, Automation

ประเภทงาน:

งานประจำ

• DataOps, MLOps, and AIOpsDesign, build, and optimize scalable, secure, and efficient data pipelines for AI/ML workflows.
• Automate data ingestion, transformation, and deployment across AWS, GCP, and Azure.
• Implement MLOps and AIOps for model versioning, monitoring, and automated retraining.
• Ensure performance, security, scalability, and cost efficiency in AI lifecycle management.
• Performance Optimization & SecurityMonitor, troubleshoot, and optimize AI/ML pipelines and data workflows to enhance reliability.
• Implement data governance policies, security best practices, and compliance standards.
• Collaborate with cybersecurity teams to address vulnerabilities and ensure data protection.
• Data Engineering & System IntegrationDevelop and manage real-time and batch data pipelines to support AI-driven applications.
• Enable seamless integration of AI/ML solutions with enterprise systems, APIs, and external platforms.
• Ensure data consistency, quality, and lineage tracking across the AI/ML ecosystem.
• AI/ML Model Deployment & OptimizationDeploy and manage AI/ML models in production, ensuring accuracy, scalability, and efficiency.
• Automate model retraining, performance monitoring, and drift detection for continuous improvement.
• Optimize AI workloads for resource efficiency and cost-effectiveness on cloud platforms.
• Continuous Learning & InnovationStay updated on AI/ML advancements, cloud technologies, and big data innovations.
• Contribute to proof-of-concept projects, AI process improvements, and best practices.
• Participate in internal research, knowledge-sharing, and AI governance discussions.
• Cross-Functional Collaboration & Business UnderstandingWork with business teams to ensure AI models align with organizational objectives.
• Gain a basic understanding of how AI/ML supports predictive analytics, demand forecasting, automation, personalization, and content generation.
• Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field. Advanced degrees or relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer) are a plus.
• Experience:Minimum of 3-5 years experience in a data engineering or operations role, with a focus on DataOps, MLOps, or AIOps.
• Proven experience managing cloud platforms (AWS, GCP, and/or Azure) in a production environment.
• Hands-on experience with designing, operating, and optimizing data pipelines and AI/ML workflows.
• Technical Skills:Proficiency in scripting languages such as Python and Bash, along with experience using automation tools.
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) is desirable.
• Strong knowledge of data processing frameworks (e.g., Apache Spark) and data pipeline automation tools.
• Expertise in data warehouse solutions and emerging data lakehouse architectures.
• Experience with AWS technologies is a plus, especially AWS Redshift and AWS SageMaker, as well as similar tools on other cloud platforms.
• Understanding of machine learning model deployment and monitoring tools.

ประเภทงาน:

งานประจำ

• Learning data operations with a thorough knowledge and understanding of relational databases, data structures, and the ability to cleanse, analyze, and connect data from multiple sources.
• Monitor and manage data quality processes and security of data.
• Can work night shift as required between 11PM- 7AM. Sometimes may work over day working hour with team as aligned with manager.
• Record all the incident when a job failed and fixed problem as soon as possible for making sure delivered data within SLA.
• Able to query data by user request and ensure the quality of service, responsible for user support.
• Document data operations and monitoring solutions in clear, concise guides.
• Manual export data from 3rd party (ex. e-mail, website) to input data warehouse.
• Operational improvement.
• Ensure that the service desk is providing effective and efficient support for users experiencing data-related issues.
• Data and Report Quality Assurance: lead data and report testing to identify discrepancies or errors.
• Communication: Keep stakeholders informed about data operations, incidents, and service desk performance.
• Align with business objectives: Collaborate with business units to understand their data needs and ensure the data operations support their goals..
• Specification
• Bachelor's Degree in Business Administration, Computer Science, Information Technology or related.
• Be responsible to ensure daily work is completed as per SLA to ensure system stability and availability for users before start of working hour e.g. Data runs successfully and completed for use by 8.30AM.
• Able to work in shift (day/night).
• Strong SQL, PL SQL, Python skills.
• Experience with Qlik Sense and Power BI will be advantage.
• Key Competencies
• Negotiated Skill.
• Follow up incident in short-term, long-term solution.
• Independence and dynamic with decision making and problem-solving skills.

ประเภทงาน:

งานประจำ

• Prepare detailed analysis of engineering and manufacturing processes, including site visit, client interviews, current flow validation and development of automated flow charts detailing process steps, hand offs and decision points
• Identify engineering and manufacturing cases for improvement and value proposition related to the cases for clients
• Develop control strategies and PLC programs following clients needs
• Recommend and apply automation and automated system implementation to improve production efficiencies, reduce costs, enhance employee safety, and to assure consistent product quality
• Provide technical on-site solution support to clients, answering complex questions on function and usage of product
• Serve as primary support liaison between company and clients, conveying client feedback to solution development
• Maintain a high level of enterprise competence, coordinate development and assignments, including identifying, capturing and sharing engineering and manufacturing expertise
• Map the board room to shop floor approach and processes of clients
• Lead engineering and manufacturing workstream by delivering accountable tasks on time, within budget and in line with client expectations
• Engage specialists in ecosystem as needed to ensure the success of sales opportunity and project delivery
• Support practice development activities
• Support sales activities and bids.
• Master proficiency in IoT Manufacturing and Manufacturing Execution System (MES)
• Expert proficiency in Automation System Functional Design and Business Process Re-Engineering (BPR)
• A Minimum 7 years relevant Instrumentation, Control & Automation design experience, preferably with consultancy experience
• Bachelor s Degree in a related engineering discipline; electrical, mechatronics, mechanical, industrial or production engineering
• Good understanding of the Industry 4.0 transformation & Digital Transformation of the supply chain and manufacturing
• Strong industry knowledge in Food & Food Ingredient and/or Industrial manufacturing
• Experience in analog and digital design, including system integration conceptual knowledge
• Experience in creating process for workload automation, mainframe reports and reconciliation, including troubleshooting and analyzing workload automation processes
• Good understanding of automation engineering, industrial control systems, instrumentation and measurement
• Ability to work with shop floor people at client sites
• Strong skills in developing and presenting clear and concise solution briefings
• Exceptionally strong verbal and written communication skills with both Thai and English required
• Good interpersonal and organizational skills.
• Experience in SCADA Control Systems, including storing, logging and reporting all data that the SCADA system aggregates using Historian is advantage.
• Expert proficiency in SAP related to Manufacturing, Asset Management, Inventory & Warehouse Management
• Experience in Design Thinking and Agile approaches with ability to ensure the project success on time and within budget
• Strong business acumen with the ability to understand business issues and identify business opportunities and value propositions.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing and product teams.
• Translate business requirements to technical solutions leveraging strong business acumen.
• Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Provide architectural expertise to sales, project and other analytics teams.
• Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions.
• Provide solution oversight to delivery architects and teams.
• Skills and attributes for success.
• 6-8 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to estimate complexity, effort and cost.
• Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenisation techniques.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Project Management, English

ประเภทงาน:

งานประจำ

• Secure Power s solution business growth, profitability, Data Centre segment activities and overall project portfolio.
• Taking leadership role for presales and post sales activities in Large Data Center projects for architecture design, engineering, deployment and operation of M&E system, including the whole life cycle design, build and operation phases.
• Strong people leadership qualities in managing large team >20 staff include team leaders across different function Tendering, Solution Engineering, Project Management a ...
• Building an effective organization and developing a roadmap to ensure the right competence level at all stages of the Data Centre lifecycle that is in line with the Secure Power Business.
• Being a recognized industry expert in the Data Centre industry, and with a strong understanding of the dynamics of how the Data Centre evolution, with a strong appreciation of Data Centre design and concepts for the infrastructure layer of the Data Centre.
• Ensuring the proper running, governance and deployment of Schneider Electric GCP Customer Project Process (CPP), Safety procedure and Solution Business Risk Policy at all times.
• Responsabilities.
• Ensure strong collaboration between Cluster Application Centre teams and key stakeholders from Countries, Zones, Regions, Segments, Businesses, Global Solution, Global Strategic and Targeted Customers teams.
• Manage Tender, Engineering, Project Management team and activities to address the business and meet Key performance objectives.
• Monitor, control, drive and report the performance of Customer project business within defined geographical perimeter and technology.
• Lead the Data Centre Projects country cadence calls to define action plan to win projects according to key opportunities identified by the sales team and follow-up of the action plan.
• Leverage the GCP regional competencies and local application Centre services capability. Understand the Zone/Country set up, on the ground capability, identify potential gaps and recovery actions.
• Qualify and Prioritize Opportunity to Facilitate Resource Planning. Assess the project timeline in view of resources planning.
• Engage with large customers using solution and consultative selling method to support the Sales team during presales phase in fostering customer relationship intimacy.
• Based on deep market understanding and technology trends, anticipate business changes and their impacts on SPAC organization. Based on BUs, Segment and FOs business strategy, adapt the technical offers with possible innovation.
• Master solution business risks and opportunities in order to identify risk, coverage and mitigation plan during both tendering and project execution.
• Lead and support implementation GCP Customer Project Process changes. Ensuring ongoing proper running and governance of CPP within the cluster perimeter.
• Taking part of regional opportunity and project review.
• Structure, build, develop, train and motivate team members, optimizing resources to drive performance management.
• QualificationsBachelor s Degree in Engineering (Mechanical or Electrical),.
• Masters in Business Administration will be bonus.
• Relevant Professional qualifications (i.e. in the fields of Data Centre, Mechanical & Electrical design, Project Management etc ).
• Uptime or similar industry certification in Data Centre Application.
• 12+ years in Data Centre Segment or critical related Industry of which at least 6+ years in people management role.
• Fluent in English.
• Occasional travel within a year.
• Primary Location: TH-Bangkok.
• Schedule: Full-time Unposting Date: Ongoing

ประเภทงาน:

งานประจำ

Greenline Synergy provides the Enterprise Data Management System to BDMS hospitals. It is the process of inventorying and governing your business's data and getting your organization onboard with the process. The services would be Enterprise Data Platform, Enterprise Data Warehouse, Analytics and Performance Report and Operational Statistic Report..

ทักษะ:

Statistics, Finance, SQL, Korean, English

ประเภทงาน:

งานประจำ

• Own and manage marketing spend with large Meta Search Engine (MSE) partners within and outside South Korea.
• Manage the commercial relationship with MSE partners, including commercial terms, bidding and pricing strategies, and technical implementation.
• Decide in coordination with the Bidding and Pricing teams strategies that deliver expected ROIs and revenue growth.
• Track detailed performance/KPIs and deliver regular data-driven actionable insights to improve results.
• Succinctly communicate the results, ideas, and business statistics with different stakeholders.
• Ensure the advertiser implements the right Agoda APIs and related technological innovations.
• Be immersed and intimately familiar with the entire booking funnel including the user experience and conversion drivers between the advertiser and Agoda.
• Build long term relationships with advertisers that foster new opportunities and continuous growth in return from advertising dollars.
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• Fluent in English and Korean with strong communication skills (both written and verbal).
• Self-motivated person with "Get it done!" attitude.
• Passionately analytical with strong ability to think logically and excellent problem-solving skills.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• Ability to represent Agoda with experience in interacting with external senior level executives.
• Strong analytical and statistical analysis skills to extract insights and recommendations.
• Proven business development and/or account management track record with experience in online marketing.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, Tableau, Big Data

ประเภทงาน:

งานประจำ

• Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels.
• Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights.
• Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth.
• Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau.
• Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management.
• Extensive Experience: 5+ years in Data Analyst position or otherwise in projects involving big data preferably in the tech, e-commerce, or digital marketing industry. Bachelor's degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus.
• Data-Driven Approach: Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively.
• Strong Communication Skills: Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations. Chinese language skills are a strong plus.
• Stakeholder management: Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• Experience in digital or social media marketing.
• Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

SAP, Procurement, Contracts, English

ประเภทงาน:

งานประจำ

• Verify the new stock item mater creation and maintain its accuracy of material master data for inventory information management.
• Coordinate with users to identify material requirement plan and stock parameters.
• Initiate stock replenishment with proper lead time to ensure material availability and ready-to-use to support Operations.
• Monitor inventory via SAP system, update and maintain inventory database as well as providing inventory-related reports and analysis to ensure proper inventory monitoring and control.
• Coordinate with users to identify non-movement and obsolete items for further write off and disposal.
• Coordinate with Procurement and users for timely stock PO issuance and delivery to meet requirement.
• Coordinate with procurement, warehouse, users, and related functions for any inventory discrepancies and properly solve the issues.
• Plan and Monitor inventory expenditures to be in line with the approved budget.
• Plan and perform the annual physical inventory count to ensure its accuracy.
• Support physical audits from both internal and external parties.
• Follow Company s SSHE MS and related regulations in all activities under his/her responsibilities.
• Manage contracts for stock items.
• Professional Knowledge & Experiences.
• Bachelor s Degree with preferrable in Engineering, Business Administration or Logistics and Supply Chain Management.
• Have knowledge of material planning, material coordinator, inventory management methods and system, warehousing.
• Minimum of 3-year experience in inventory management is preferrable.
• Have skill to use Ms Office e.g., advanced Excel, Power Point, Word and Power BI.
• Good command of written and spoken English.
• Additional Desirable Qualification.
• Good in following soft skills; analytical & systematic thinking, problem solving, collaboration, and communication.
• SAP MM and IM Module.
• Work Location.
• Bangkok - Resident.