เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Industrial Engineering, Analytical Thinking, Problem Solving, Leadership Skill, English

ประเภทงาน:

งานประจำ

• Team Leadership & Operational Management.
• Daily Operations Supervision: Lead and oversee daily warehouse operations, ensuring smooth inbound, storage, inventory movements, and outbound processes.
• Team Management & Development: Supervise and develop warehouse personnel to maintain high standards of productivity, workplace safety, and 5S/housekeeping.
• Inventory & Space Management: Ensure inventory accuracy, control stock rotation (FIFO/FEFO), and optimize warehouse space utilization.
• Stock Count Supervision: Oversee routine cycle counts and annual stock-taking activities to maintain high levels of inventory accuracy.
• Operations Improvement & Problem Solving.
• KPI Analysis & Performance Tracking: Monitor warehouse performance, analyze key performance indicators (KPIs), and identify opportunities for continuous improvement.
• Process Improvement & Cost Optimization: Drive productivity enhancements, logistics cost optimization, and continuous improvement (CI) initiatives.
• Stock Discrepancy & Issue Resolution: Investigate stock discrepancies, product damage, shortages, and claims, and implement corrective and preventive actions (CAPA).
• Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, Business Administration, or a related field.
• Minimum GPA of 2.70 for undergraduate and 3.30 for postgraduate studies.
• Good command of English (TOEIC score of 550 or higher).
• Minimum 1-3 years of experience in warehouse management operations.
• Proficient knowledge and hands-on experience in Warehouse Management Systems (WMS) and ERP software (e.g., SAP).
• Direct experience in managing both in-house operations and outsourced.
• Team Leadership & People Management: Strong leadership skills with the ability to manage, motivate, and develop warehouse personnel.
• Problem Solving & Analytical Thinking: Analytical and structured problem-solving skills to effectively investigate inventory discrepancies and handle operational issues.
• Problem Solving & Communication: Resolve operational issues proactively and ensure effective communication with all stakeholders.

ทักษะ:

Microsoft Office

ประเภทงาน:

งานประจำ

• วางแผนและบริหารกระบวนการสรรหาและคัดเลือกบุคลากรร่วมกับหัวหน้าหน่วยงาน เพื่อให้ได้ผู้สมัครที่เหมาะสมตามแผนอัตรากำลัง.
• ดูแลการจัดทำข้อมูลด้านทรัพยากรบุคคล (HRIS) และตรวจสอบให้มีความถูกต้อง ทันสมัย และสอดคล้องกับนโยบายบริษัท.
• วางแผน และประสานการจัดอบรม / พัฒนาบุคลากรทั้งในเชิงทักษะและสมรรถนะ (Competency Development).
• สนับสนุนการดำเนินงานด้าน Performance Management และการประเมินผลการทำงานของพนักงาน (KPI/PA).
• ควบคุม ดูแล และประสานงานเกี่ยวกับสวัสดิการพนักงาน พร้อมเสนอแนะแนวทางการปรับปรุง.
• ดูแลและพัฒนากิจกรรมพนักงาน (Employee Engagement) และเสริมสร้างวัฒนธรรมองค์กรที่ดี.
• วิเคราะห์ข้อมูลเชิงสถิติ เช่น อัตราการลาออก ความพึงพอใจของพนักงาน เพื่อนำเสนอผู้บริหารในการวางแผนทรัพยากรมนุษย์.
• ดูแลเอกสารและขั้นตอนทางกฎหมายแรงงาน และสนับสนุนการบริหารแรงงานสัมพันธ์อย่างมืออาชีพ.
• ให้คำปรึกษาและสนับสนุนหน่วยงานต่าง ๆ ในประเด็นด้าน HR ทั้งเชิงกลยุทธ์และเชิงปฏิบัติ.
• เป็นผู้นำหรือผู้ร่วมในโครงการด้าน HR ที่มีความสำคัญขององค์กร เช่น การปรับโครงสร้างองค์กร, ระบบประเมินใหม่, Digital HR ฯลฯ.
• มีประสบการณ์ 5 ปี โดยเฉพาะในด้าน HRBP, Employee Relations ใน Warehouse, Manufacturing.
• มีภาวะผู้นำ สามารถทำงานร่วมกับผู้อื่นได้หลากหลายระดับ.
• มีทักษะในการวิเคราะห์ วางแผน และจัดการงาน HR อย่างเป็นระบบ.
• ใช้โปรแกรม Microsoft Office และระบบ HRIS ได้อย่างคล่องแคล่ว.
• มีความรู้ด้านกฎหมายแรงงาน และแนวปฏิบัติ HR ตามมาตรฐานองค์กร.
• มีทัศนคติที่ดีต่อการทำงาน และพร้อมเรียนรู้สิ่งใหม่ ๆ.
• มีความยืดหยุ่นในการทำงาน และพร้อมปรับตัวให้เข้ากับกระบวนการที่เปลี่ยนแปลงได้เสมอ.

ทักษะ:

Data Analysis, Python

ประเภทงาน:

งานประจำ

• Build and maintain datasets optimized for analytics and modeling.
• Collaborate closely with Data Engineers for data preparation and with Engineer teams for model deployment and monitoring.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience developing machine learning or statistical models for business problems.
• Strong programming skills in Python or similar languages for data analysis and modeling.
• Experience with data analysis, feature engineering, and model evaluation.
• Familiarity with ML frameworks and data visualization tools.
• Understanding of model deployment and monitoring concepts.

ทักษะ:

node.js, Python

ประเภทงาน:

งานประจำ

• Design, develop, and integrate AI/ML models into scalable production applications.
• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.

ทักษะ:

Continuous Integration, Automation, DevOps, Cloud Computing

ประเภทงาน:

งานประจำ

Bachelor's degree in Computer Science, Information Technology, or related field. Experience with CI/CD pipelines and automation tools. Strong knowledge of cloud infrastructure and container technologies. Experience managing infrastructure for scalable applications or data workloads. Familiarity with infrastructure-as-code and system monitoring tools. Understanding of system reliability, availability, and security practices. Able to work onsite at SCG Bang Sue Head office.

ทักษะ:

Business Development

ประเภทงาน:

งานประจำ

• Act as Regional Project Manager APAC for the Data Center ramp-up initiative and serve as the central regional coordination point within the global project structure.
• Support the Head of Business Development APAC in the strategic alignment and operational development of the entire APAC market.
• Provide technically competent project support, including requirement clarification, fan selection, aerodynamic, acoustic, electrical and control-related evaluation, documentation, project-specific measurements and technical modifications.
• Coordinate APAC workstreams and relevant functions, including Industrial Engineering, Purchasing, Operations, R&D, Quality, IT and HR, while ensuring alignment with global functions and project leadership.
• Translate global and regional objectives into structured execution plans with clear ownership, priorities, decisions, milestones, next steps and transparent escalation of blockers.
• Identify, aggregate and prioritize market trends, customer requirements, competitor intelligence and differences between local, regional and global specifications.
• Develop and qualify new business opportunities and customers; coordinate customer engagement, sales campaigns, events, trade fairs and regional go-to-market activities.
• Convert market and customer requirements into product and application requirements and align specifications and solution concepts with Project Engineering, Application Engineering and Product Units.
• Structure and track opportunities, quotations, business cases, resource and budget requirements and KPIs; follow through from opportunity development to ramp-up and project completion.
• Build and maintain the APAC Data Center network, provide regular market and project updates, and define and conduct training for sales and relevant stakeholders.
• Degree in engineering, business administration or a comparable field; a strong technical-commercial profile is preferred.
• Several years of practical experience in regional project management, business development, technical sales, project engineering or market segment management.
• Proven ability to coordinate execution across multiple market segments, sales entities and cross-functional stakeholders in an international matrix organization.
• Ability to establish ownership, prepare decisions, align priorities, manage dependencies and drive implementation across regional and global interfaces.
• Strategic and analytical thinking with the ability to convert market intelligence and global objectives into regional priorities, business cases and implementation plans.
• Sound technical understanding of air technology and Data Center applications, including fans, drives, airflow, pressure, efficiency, acoustics, electrical data and control concepts.
• Ability to clarify technical customer requirements, evaluate standard and project-specific solutions, and coordinate technical quotations, documentation, measurements and product modifications.
• Strong commercial understanding, customer orientation, financial acumen, negotiation and communication skills.
• Excellent English skills; additional APAC language skills are beneficial.
• Strong networking, intercultural collaboration, facilitation, presentation and training skills.
• Structured problem-solving, risk management and project reporting capabilities, flexibility and willingness to travel across APAC.
• Proficiency in common office, project management, CRM, and SAP.
• Head of Business Development APAC.
• Global Ramp-Up Manager, global project leadership and global function representatives.
• APAC Managing Directors, sales entities and regional project stakeholders.
• Regional and corporate Market Segment Managers across all market segments.
• Industrial Engineering, Purchasing, Operations, R&D, Quality, IT and HR in APAC.
• Regional Field Sales, Sales Management and Business Development.
• Global Key Account Management and Key Account Management.
• Project Engineering, Application Engineering and Application Experts.
• Product Units Ventilation, Product Management and technical competence centers.
• Business Excellence, Marketing and Public Affairs.
• Customers, consultants, operators, system integrators, OEMs and relevant Data Center industry networks.
• Business Development Worldwide and other regions.
• Yearly performance bonus.
• Comprehensive private health insurance.
• Provident fund contribution.
• Work from home possibilities.
• Opportunities for professional development and international exposure in a global group.
• Modern working environment in a stable, innovative company focused on quality and sustainability.
• Additional benefits in line with Thai labor law and company standards (e.g. paid leave, social security, overtime compensation where applicable).

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Electronics, Automation

ประเภทงาน:

งานประจำ

• Develop and provide analytical support for BI solutions released to the business.
• Proactively collaborate with stakeholders in all levels of the company.
• Gather requirements from business stakeholders.
• Execute testing needed to assure the desired functionality and data integrity of solutions meet the business requirements and deadlines.
• Proactively identify data quality issues and recommend data integrity checks to alert users when such issues occur.
• Proactively assist in communicating to users with respect to software upgrades and new features released.
• Responsible for test new technologies, software upgrades and new features released, consults with IT relative partners and/or users on appropriate of new technologies.
• Hot line and user help desks, and provide the appropriate training on user.
• Coordinates all systems maintenance projects.
• Responsible for all functions that is assigned by supervisor and CIO.
• Who are we looking for?.
• Bachelor degree in Computer, Electronics, or IT related field.
• Minimum 1 years of experience in an IT Business Analysis role or any programming.
• Ability to understand complex business system processes and clearly articulate business requirements.
• Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source system data and data samples).
• Proficient in one of BI tool such as SAPBI, Microsoft PowerBI, Tableau, Qlikview, etc.
• Proficient in database, data structure knowledge.
• Professional experience in successfully supporting users reporting and data needs.
• Some experience with SAP-ERP/HANA/BW/MSSQL is a plus.
• Good interpersonal skill with high innovative and creative idea, self management, strong time management and problem solving skills.
• Enthusiastic and active person with ability to work under pressure.
• Fair-to-Good English communication skills.
• The desire to be a strong team player.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Assurance, English

ประเภทงาน:

งานประจำ

• Data Requirement Management.
• Lead requirement gathering workshops for data-related initiatives.
• Elicit, analyse, and document business data requirements.
• Define business rules, data definitions, and validation requirements.
• Maintain business glossary and data dictionary.
• Ensure consistency of master data definitions across systems.
• Collaborate with business stakeholders to establish data ownership.
• Data Migration.
• Analyze legacy data structures and business rules.
• Develop Source-to-Target Mapping (STTM) documents.
• Define data transformation and conversion requirements.
• Document migration rules and cleansing requirements.
• Support migration planning and execution.
• Coordinate migration testing and business validation.
• Perform reconciliation between legacy and target systems.
• Support migration sign-off activities.
• Reporting.
• Gather and document reporting and dashboard requirements.
• Define report layouts, business KPIs, filters, and calculation logic.
• Produce Reporting Requirement Specifications.
• Work with development and BI teams to ensure reports meet business expectations.
• Support report validation during SIT and UAT.
• System Integration & Interface.
• Gather business requirements for system interfaces and integrations.
• Define data mapping between source and target systems.
• Document interface specifications, validation rules, and error handling.
• Support API and batch interface requirement analysis.
• Coordinate interface testing with project teams.
• Data Quality & Governance.
• Define business data validation rules.
• Support data quality assessments and issue resolution.
• Ensure compliance with enterprise data governance standards.
• Maintain data lineage and traceability documentation.
• Participate in data governance initiatives and standards development.
• Project Delivery Support.
• Collaborate with Business Analysts, Solution Architects, Developers, QA, and Vendors.
• Participate in project estimation and planning.
• Support SIT, UAT, and Production Verification.
• Facilitate data walkthrough and requirement review sessions.
• Track data-related risks, assumptions, issues, and dependencies.
• Ensure end-to-end traceability from business requirements to implemented data solutions.
• Bachelor's degree or higher in Business Administration, Information Technology or other related fields.
• Minimum 5 years' experience in Business Analyst with a strong focus on data-related initiatives.
• Experience in Insurance or Financial Services is highly preferred.
• Proven experience in data migration, reporting, integration, or enterprise system implementation.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and interpersonal abilities.
• Proficiency in requirement gathering techniques, process modeling, and documentation.
• Familiarity with project management methodologies and software development lifecycle.
• Ability to collaborate effectively with cross-functional teams.
• Knowledge of relevant tools such as Microsoft Offices, JIRA, Trello, etc.
• Proficiency in documentation in both Thai and English.
• Good English communication skills (written and verbal).
• Tools and Technology.
• SQL Server / PostgreSQL.
• Advanced Excel.
• Data migration and reconciliation frameworks.
• AI-assisted tools for: SQL query generation and optimization, Data quality and anomaly detection.

ทักษะ:

Project Management, Architecture, SQL, ETL, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Accounting, Korean

ประเภทงาน:

งานประจำ

• Controlling] Participate in and make a regular report on management activity plans (sales, manufacturing, marketing, development) and performances every month or a report for each management issue frequently. 2. [CO Closing] Participate in analyzing profits and providing a production cost management model, calculating production costs by product and model or unit project like sales and development. 3. [Budget & Investment Control] Participate in establishing and managing a budget plan for our company's available resources like expense and investment. 4. [Policy & Procedure Manageme ...
• Experienced professional with full understanding on specialized areas; resolves a wide range of issues in creative ways.
• Works on problems of diverse scope where analyzing data requires evaluating identifiable factors. Demonstrates good judgement in selecting methods and techniques for obtaining solutions.
• Normally receives little instruction on day-to-day work and receives general instructions on new assignments.
• Typically requires minimum 5 years' of related experience and a Bachelor's degree, or 3 years and a Master's degree; or a PhD without experience.

ทักษะ:

Budgeting, Compliance, Project Management

ประเภทงาน:

งานประจำ

• Manage daily operations of the data center, ensuring all systems function smoothly and meet quality standards.
• Develop and implement operational procedures that enhance efficiency and align with business objectives.
• Establish key performance indicators (KPIs) for operational activities and conduct regular assessments to ensure targets are met.
• Oversee resource allocation, including staffing, budgeting, and equipment management, to maximize operational effectiveness.
• Monitor financial performance, analyze cost structures, and recommend solutions to improve profitability.
• Ensure adherence to industry regulations and internal policies regarding data security and operational compliance.
• Develop and maintain disaster recovery plans to ensure business continuity in case of disruptions.
• Work with IT teams to manage infrastructure, including servers, storage systems, and networking equipment, ensuring optimal performance and security.
• Prepare regular reports for senior management detailing operational performance, challenges, and opportunities for improvement.
• Bachelor's degree in Business Management, Operations Management, or a related field; a Master's degree is preferred.
• Proven experience in operations management or a similar role within the data center or technology sector.
• Strong analytical skills with the ability to interpret financial data and operational metrics.
• Excellent leadership and communication abilities to effectively collaborate with diverse teams.
• Proficiency in project management tools and operational software.
• Knowledge of data center operations, including infrastructure management, cooling systems, power management, and security protocols.
• Detail-oriented with strong problem-solving skills.
• Ability to work under pressure and manage multiple priorities effectively.
• Strong commitment to continuous improvement and operational excellence.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal - Oriented, Unity, Learning, Flexible.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Problem Solving, Leadership Skill, Teamwork, Cloud Computing, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines, data products, and enterprise data.
• models that support analytics, reporting, machine learning, and AI initiatives across.
• Lumentum.
• Build and optimize modern data architectures using Databricks, Delta Lake, Spark, SQL,.
• and cloud-native technologies to enable high-performance analytics and trusted business.
• insights.
• Develop and maintain curated semantic layers, business metrics, and governed datasets.
• that power self-service analytics and conversational AI solutions such as Databricks Genie.
• and other natural language query platforms.
• Partner with business stakeholders across Sales, Operations, Manufacturing, Supply Chain,.
• Finance, and HR to translate business requirements into scalable data solutions and.
• reusable data assets.
• Enable business users to interact with enterprise data through natural language interfaces.
• by designing data models, metadata frameworks, business glossaries, and governance.
• standards that improve AI-generated insights and query accuracy.
• Collaborate with Data Scientists, Analytics Engineers, and BI developers to support.
• advanced analytics, predictive modeling, and AI-driven decision-making.
• Establish data quality, lineage, observability, and governance frameworks to ensure trusted,.
• secure, and compliant enterprise data assets.
• Design and implement enterprise-wide KPI frameworks and metric definitions to create a.
• source of truth across functional domains.
• Optimize data performance, reliability, and scalability while reducing technical debt and.
• improving platform efficiency.
• Support the development of AI-enabled analytics capabilities, including retrieval-augmented.
• generation (RAG), vector search, knowledge repositories, and semantic search.
• solutions that enhance data discovery and business productivity.
• Drive adoption of modern data engineering best practices including CI/CD, Infrastructure as.
• Code, automated testing, and data lifecycle management.
• Partner with leadership and analytics teams to advance Lumentum's vision of a centralized,.
• AI-enabled analytics organization.
• Degree in Computer Engineering, Computer Science, IT, or related fields.
• 10+years of hands-on experience as a Data Engineer or similar role.
• Strong SQL and data modeling skills, including Databricks, Delta Lake, Spark, SQL, and.
• cloud-native technologies.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to support.
• production environments.
• Good communication, problem solving skills, and teamwork mindset.
• Excellent English proficiency (reporting to foreign national).

ทักษะ:

SQL, ETL, Compliance

ประเภทงาน:

งานประจำ

• Act as the first point of contact and trusted data solution partner for business data initiatives, translating banking business needs into clear data requirements, data model inputs, SQL-based data inquiries, and delivery-ready specifications for the Data Warehouse and Data Analytics teams.
• Serve as the intake owner for data projects, enhancement requests, impact assessments, and data usage demand.
• Lead and coordinate project planning, timeline management, stakeholder communication ...
• Lead the analysis and design of end-to-end data flows, translating business requirements into data solutions, source-to-target mappings, and high-level data architecture in collaboration with data architects, data engineers, data governance teams, and vendors.
• Lead the design of business-aligned data models, data structures, and data lineage, ensuring consistency across source systems, data warehouse, data marts, and analytics consumption layers.
• Use SQL for basic to intermediate data inquiry, profiling, reconciliation, validation, and issue inve.
• stigation.Facilitate workshops, manage requirements scope, track decisions, resolve requirements issues, and secure business sign-off.
• Support SIT and Perform UAT activities, defect investigation and resolution, data quality checks, production readiness, user communication, and post-implementation review.
• Work with data engineers to resolve data incidents, if any.
• Apply now if you have these advantages.
• Bachelor's or Master's degree in Business, IT, Data, Computer Science, MIS, Finance, or related field.8 - 10+ years of experience in Business Analysis, Data Analysis, Data Warehouse, BI/Analytics, or project delivery, preferably in banking or financial services.
• Hands-on experience with data warehouse concepts, data mart design, ETL/ELT lifecycle, reporting, dashboards, or analytics delivery.
• Working knowledge of SQL for data inquiry, validation, and requirement clarification.
• Good understanding of project management practices, Agile/Waterfall delivery, requirement traceability, risk/issue tracking, and stakeholder governance.
• Expected knowledge across banking products and processes such as loans, deposits, payments, cards, customers, finance, risk, compliance, and regulatory reporting..
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Power BI, Tableau, Finance, English

ประเภทงาน:

งานประจำ

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Leadership Skill, Python

ประเภทงาน:

งานประจำ

• 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.".

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Business Development, Salesforce, Customer Relationship Management (CRM), Mandarin, English

ประเภทงาน:

งานประจำ

• Join Solenis as Business Development Manager to be a part of our growing Data Center team and play a.
• key role.
• in expanding our presence across Thailand's data center market. In this role, you will drive strategic business development initiatives, build relationships with key stakeholders across the data center ecosystem, and position Solenis as a trusted partner for sustainable water treatment solutions. Your Role at a Glance: Drive Data Cent ...
• 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.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Business Development, Project Management, English, Thai

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Meet Deadlines, Data Analysis, Fast Learner, Automation, Power BI

ประเภทงาน:

งานประจำ

• Probation & Resignation Management.
• Manage day-to-day operations related to employee probation and resignation processes.
• Monitor probation due dates and follow up with employees and managers to ensure assessments are completed on time.
• Coordinate resignation, handover, employee clearance, and related offboarding activities with relevant departments.
• Conduct exit interviews with resigning employees and summarize key feedback, concerns, and reasons for resignation.
• Analyze exit interview findings and turnover trends to identify recurring issues and provide meaningful insights to HRBP and management.
• Maintain accurate probation, resignation, exit interview, and employee turnover records.
• Prepare regular reports and identify overdue cases, trends, and areas requiring HRBP attention.
• Ensure employee data and related documentation are properly maintained and handled confidentially.
• HR Business Intelligence & Data Analytics.
• Collect, consolidate, analyze, and visualize HR data to support HRBP and management decision-making.
• Develop and maintain HR dashboards and reports related to probation, resignation, turnover, workforce trends, and other HR metrics.
• Identify trends, patterns, and potential HR issues through data analysis.
• Support the development of HR KPIs and management reports.
• Ensure accuracy and consistency of HR data across relevant systems and reports.
• AI & HR Digital Development.
• Utilize technical knowledge, AI tools, and automation to improve HRBP and other HR processes.
• Support the development of AI-powered HR tools, dashboards, automated alerts, workflows, and reporting solutions.
• Work with HR and IT teams to identify opportunities for process digitalization and automation.
• Support testing, implementation, and continuous improvement of HR systems and digital solutions.
• Explore new AI technologies and recommend practical applications within HR functions.
• Performance Management Support.
• Support PMS data preparation, validation, analysis, and reporting.
• Develop analytical reports and dashboards related to goal setting, performance ratings, completion status, and other PMS indicators.
• Identify data discrepancies and coordinate with relevant stakeholders for correction.
• Provide HR management with meaningful insights from performance data.
• HR Projects.
• Support HRBP, HR digital transformation, analytics, employee experience, and other assigned HR projects.
• Coordinate with internal stakeholders and cross-functional teams to ensure projects are completed according to agreed timelines.
• Perform other duties and projects as assigned.
• Bachelor's degree in Human Resources, Business Administration, Business Analytics, Data Analytics, Information Technology, Computer Science, or a related field.
• 0-3 years of experience in HR, HRBP, HR analytics, HRIS, Business Intelligence, or related areas is preferred.
• Good understanding of HR processes, particularly probation, resignation, exit interviews, employee lifecycle, performance management, and HR reporting.
• Strong analytical skills with the ability to interpret HR data and translate findings into meaningful insights.
• Good knowledge of Microsoft Excel; experience with Power BI, Tableau, Looker Studio, or other Business Intelligence tools is an advantage.
• Familiarity with AI tools, automation, workflow development, or HR digital solutions is highly desirable.
• Experience with HRIS/HRMS systems would be an advantage.
• Basic knowledge of database management, SQL, Power Automate, Python, APIs, or similar technical tools would be an advantage.
• Proactive and self-motivated, with a strong sense of ownership and accountability.
• Fast learner with the ability to quickly adapt to new systems, tools, and HR processes.
• Strong ability to manage, organize, and prioritize multiple assigned tasks to meet deadlines.
• Detail-oriented with strong data accuracy and problem-solving skills.
• Good communication and coordination skills with the ability to work with HR, IT, managers, and other stakeholders.
• Able to work independently and effectively in a fast-paced environment.
• Strong interest in HR technology, AI, data analytics, and digital transformation.
• Good command of written and spoken English.