เงื่อนไขการค้นหา

ทักษะ:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Accounting, Negotiation

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:

Business Development, Statistics, SQL

ประเภทงาน:

งานประจำ

• Develop and lead a cross-business data strategy roadmap, aligned with PTG's growth objectives across both Oil and Non-Oil sectors.
• Partner with business units (e.g., Fuel Retail, Food Services, Logistics, Membership, CRM) to uncover customer insights, market opportunities, and operational efficiencies through data.
• Lead deep-dive analyses using data to identify new revenue streams, improve customer retention, and support strategic decisions.
• Act as a business translator - turning complex data into strategic insights that can be clearly communicated and executed by non-technical teams.
• Collaborate with internal teams (Data Engineering, BI, Data Science) to ensure data solutions are relevant, scalable, and integrated with business needs.
• Evaluate and prioritize data-led initiatives that create tangible business impact or cost optimization.
• Support new business development by identifying trends and growth opportunities through customer, product, and market data.
• Champion a data-first culture across PTG s ecosystem, encouraging business units to embed data into their decision-making processes.
• Define performance metrics and impact KPIs for strategic initiatives, ensuring continuous improvement and visibility to leadership.
• Bachelor s or Master s degree in Statistics, Analytics, Mathematics, Engineering, Business, Economics, or related field.
• 8+ years of experience in data strategy, analytics, or business development, ideally within large organizations or cross-sector environments.
• Strong foundation in statistical thinking, logic, and analytical problem-solving.
• Proven ability to convert data into business outcomes, ideally across different business verticals.
• Experience in managing and influencing senior stakeholders across business functions.
• Proficient in data tools and languages such as SQL, Python/R, Tableau, Power BI, or equivalent.
• Strong business judgment with experience working at the intersection of data, strategy, and commercial growth.
• Excellent communication and data storytelling skills; able to simplify complex topics for executive stakeholders.
• Experience in Retail or Multi-Business Conglomerates.
• Background in consulting, corporate strategy, or innovation-led roles.
• Familiarity with customer lifecycle analytics, loyalty programs, or CRM data.

ทักษะ:

Compliance, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Enforce enterprise data quality management framework.
• Develop data profiling and observe any trends or issues to raise with data stewards or senior management.
• Define data quality metrics requirements with Data Stewards (e.g. DQ dimensions, business rules, data quality index, reports) in compliance with Data Quality standards.
• Generate DQI dashboard based on the results.
• Consolidate DQI performance results on overall data health at an enterprise level.
• Coordinate remediation plans with Data Stewards.
• Monitor outcome of data quality improvement initiatives.
• Support business engagement on data quality improvement initiatives.
• Collaborate with DataX (Centralized Data Hub) Define data quality metrics requirements in compliance with data quality standards for data in SCB data zone.
• Monitor DQI performance results on overall data health for data in SCB data zone.
• Perform data quality profiling, issues investigation and remediation plan in SCB data zone.
• Consult on the escalation of data quality issues investigation and remediation to DataX Data Governance.
• Qualification Senior Bachelor s or master s degree in information systems, computer science, information technology or related discipline.
• Experience in data management e.g. data governance program implementation and data quality program implementation in banking or other industry.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Good understanding of banking products, respective data domains, as well as relationships with system domains and banking data concepts with emphasis on metadata definitions (business and technical).
• Ability to absorb information and data from multiple sources, apply strong analytical skills, and provide thoughtful and strategic recommendations to deliver tangible business value.
• Ability to work on cross-functional units with excellent verbal & written communication skills.
• Junior Bachelor s degree in information systems, computer science, information technology or related discipline.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• 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.

ทักษะ:

Python, SQL, Java

ประเภทงาน:

งานประจำ

• Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
• Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
• Data Transformation: Write data transformation jobs through code to optimize data processing.
• Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
• LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
• Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
• Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
• Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
• Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems.
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 2 years of experience in data engineering and at least 3 years as data scientist.
• Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Desirable.
• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Visualization Solution: Skills in design and develop dashboard for analytic & insight.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

ทักษะ:

Internal Audit, Assurance, Risk Management, English

ประเภทงาน:

งานประจำ

• Manage and lead a team of data analysts in applying advanced analytics to audit and assurance activities.
• Drive the use of AI/ML techniques (e.g., anomaly detection, behavioral modeling, predictive risk scoring) to identify suspicious or unusual patterns of activity.
• Collaborate with auditors to integrate data-driven insights into audit planning, execution, and reporting.
• Promote innovation by introducing new tools, methods, and technologies into the audit analytics function.
• Act as a trusted advisor to senior management on emerging risks, fraud trends, and digital transformation in audit.
• Support the Department Head in preparing Thai and English versions of Monthly Reports and Quarterly Reports for SMT, the Audit Committee, and others.
• Timely perform ad-hoc assignments (projects or special audits) assigned by the Department Head or higher. This requires holistic, initiative, innovative, and analytical skills to perform the assigned tasks timely, with good quality and added value.
• People Development - develop and improve the skills, knowledge, and expertise of team members by providing them with appropriate training courses and advice during work review.
• Support the Department Head by serving as an expert in data analytics using modern auditors' tools and providing knowledge of various data sources for the Internal Audit Group.
• Bachelor s degree in business, mathematics, computer science, or management information systems.
• 8 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions.
• Strong quantitative, analytical, data intuition, and problem-solving skills, and proficiency in data analytics techniques.
• Hands-on knowledge of AI/ML applications in risk, fraud, or audit contexts.
• Familiarity with audit methodologies, risk frameworks, and financial industry regulations.
• Able to manage a team under pressure and deadlines.
• Proficient in computer literacy, especially tools for data analytics.
• Good command of English, both written and spoken.
• Talent Acquisition Department Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• 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.
• (https://krungsri.com/b/privacynoticeen).
• 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.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LINE: Krungsri Career.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SAP

ประเภทงาน:

งานประจำ

• Revenue Generation: Identify and qualify opportunities while developing and executing strategies to drive sales success.
• Territory Development: Create an opportunity plan that effectively communicates the value proposition of SAP s targeted line of business solutions to potential customers and prospects.
• Collaboration: Work closely with the Sales Manager and team to implement programs that enhance pipeline growth and facilitate deal closure.
• Account Planning: Collaborate with the Value Added Team (VAT) to educate target accounts on BDC solutions and strategize for key accounts.
• Sales Cycle Management: Uncover and manage sales cycle opportunities to maximize engagement with prospects.
• Market Expansion: Lead initiatives to establish, develop, and expand market share and drive revenue within assigned accounts.
• Sales Best Practices: Develop and implement sales best practices to ensure repeatable success across named accounts.
• What You Brin.
• Experience: Minimum of 5+ years of sales or related experience in business software and/or IT solutions, with at preferably 3 years specializing in any of database or Data management/Warehouse analytics and AI solution.
• Executive Engagement: Proven experience selling to CXOs with a good track record of managing large accounts and facilitating technology discussions.
• Strong technical role experience / background in database management/Warehouse analytics and AI solutions will be a plus.
• Achievement Orientation Demonstrated success in meeting targets and driving new business opportunitie.
• Experience and success is driving Independent deals in software solution.
• Meet Your Team
• Join a dynamic team of enthusiastic technology evangelists who are committed to challenging the status quo and bringing innovative technology to the forefront of transformation initiatives. We believe the Business Technology Platform (BTP) is key to modernizing ERP landscapes and empowering business processes with Generative AI capabilities, all while harnessing the power of data.
• Bring out your best
• SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
• We win with inclusion.
• SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
• SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected].
• For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
• Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
• Successful candidates might be required to undergo a background verification with an external vendor.
• AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.Please note that any violation of these guidelines may result in disqualification from the hiring process.

ประเภทงาน:

งานประจำ

• Monitor all data center systems including power, cooling, fire suppression, and physical security systems during the shift.
• Perform routine inspections and preventive maintenance of data center equipment to ensure optimal performance.
• Respond promptly to alerts, alarms, and incidents, escalating issues to higher-level technical teams or management as necessary.
• Maintain accurate logs and records of all operational activities, incidents, and maintenance tasks performed during the shift.
• Support the deployment, relocation, and removal of hardware and equipment in accordance with standard operating procedures.
• Ensure compliance with company policies, safety protocols, and regulatory requirements related to data center operations.
• Coordinate with cross-functional teams (network, facilities, security) to resolve operational issues efficiently.
• Assist in maintaining physical security and access control for the data center facility.
• Participate in shift handover meetings to ensure seamless transition and communication between shifts.
• Bachelor Degree s in Engineering.
• Prior experience in data center operations or facility management is an advantage.
• Basic understanding of data center infrastructure components (power, cooling, fire safety, security).
• Ability to work in a 24/7 shift environment including nights, weekends, and holidays.
• Strong problem-solving skills and attention to detail.
• Ability to follow procedures and work independently or as part of a team.
• Physical ability to handle equipment and perform routine inspections.
• Fluent in English both written and verbal (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Compliance, ISO 27001

ประเภทงาน:

งานประจำ

• Lead shift operations, ensuring proper execution of inspections, monitoring, and preventive maintenance.
• Supervise and guide technicians/engineers; conduct shift handovers and maintain accurate reports and logs.
• Monitor and control critical systems (electrical, mechanical, and fire safety) to ensure stable operations.
• Monitor and control electrical systems (UPS, PDUs, switchgear), mechanical systems (CRAC/CRAH, chillers), and fire safety systems.
• Respond to alarms, incidents, or system faults per SOPs/EOPs, performing initial containment and escalation.
• Coordinate maintenance work, vendor activities, and ensure compliance with safety and work permit standards.
• Support clients and internal teams with access, troubleshooting, and on-site assistance.
• Maintain adherence to safety, security, and operational standards (ISO 27001, TIA-942, Uptime Tier).
• Job Qualifications.
• Bachelor s degree in Electrical, Mechanical, or related Engineering fields.
• Minimum 5 years of experience in data center, critical facility, or industrial plant operations.
• Strong understanding of electrical and HVAC systems, UPS, generators, BMS, and fire systems.
• Experience working in 24x7 rotating shifts.
• Fluent in English both written and verbal (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.
• Preferred Qualifications.
• Data center certifications such as CDCP, CDCS, or equivalent are a plus.
• Experience working in Tier III or Tier IV environments.
• Familiarity with ISO 27001, TIA-942, and safety protocols (e.g., Lockout-Tagout, EHS standards).
• Able to work independently and lead small teams during high-pressure situations.

ทักษะ:

Legal

ประเภทงาน:

งานประจำ

• The role will lead the establishment, governance, and operational execution of enterprise-wide frameworks and processes for customer data privacy, consent management, data subject rights (DSR), and enterprise customer master data management. This role ensures that the Bank s customer data practices meet the highest regulatory and operational standards, working in close collaboration with the Compliance function to align with the Bank s privacy data policies. The position carries direct responsibility for managing the business application owners of key platforms within this scope.
• For the detailed scope of work.
• 1) Data Privacy Notice Management.
• 2) Privacy Data Retention Management.
• 3) Customer Consent Management.
• 4) Customer Data Subject Rights (DSR) Management.
• 5) Enterprise Customer Master Management.
• Collaborate with the Compliance function to ensure governance frameworks adhere to the Bank s Privacy Data Policy and applicable regulations (e.g., PDPA, NCSC).
• Supervise regular execution of data privacy notice management across all business units.
• Govern privacy data retention processes in line with approved frameworks and regulatory obligations.
• Ensure that operational processes for customer consent, DSR, and master data management are effectively embedded into business operations.
• 1) Customer Consent Management Platform.
• 2) DSR Management Platform.
• 3) Enterprise Customer Master Platform.
• Lead project implementations to ensure platform enhancements and integrations meet governance, operational, and regulatory requirements.
• Act as the key liaison between operational teams, Compliance, IT, Legal, and business units on privacy and customer data governance matters.
• Chair or participate in governance forums related to customer data privacy and master data management.
• Provide training, guidance, and advisory support to teams on governance processes.
• Apply now if you have these advantages.
• Minimum 12-15 years of experience in data governance, privacy, or enterprise data management within financial services, including at least 5 years in a senior leadership role.
• Bachelor or Higher in information management, Data Governance, Information Technology, Law, or Business Administration.
• Professional certifications in Data Privacy (e.g., DPO Professional Certificate - Thailand, CIPP/E, CIPM), Data Governance (e.g., CDMP), or Project Management (e.g., PMP, PRINCE2) are strongly preferred.
• Strong knowledge of financial sector regulations, with emphasis on PDPA and Bank of Thailand data governance requirements.
• Proven track record in designing and operationalizing data governance frameworks in large, regulated organizations.
• Hands-on experience in managing enterprise customer master data platforms and privacy-related systems (consent, DSR).
• Demonstrated success in leading cross-functional teams, including direct supervision of business application owners.
• Corporate Banking knowledge: Enterprise Customer Data Management, Core banking, Customer Consent, DSR.
• Familiarity with banking operational risk and regulatory compliance frameworks for DSIB institutions.
• 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 (2 days in office per week).
• Unbelievable benefits such as attractive bonuses 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.
• 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, Statistics

ประเภทงาน:

งานประจำ

• Identify valuable data sources and automate data collection processes.
• Undertake preprocessing and transformation of structured and unstructured data.
• Analyze large datasets to discover meaningful trends, patterns, and business insights.
• Build and deploy predictive models, machine learning algorithms, and NLP models (classification, clustering, topic modeling, sentiment analysis).
• Combine models through ensemble techniques to improve accuracy.
• Design and maintain end-to-end data pipelines and migrate workflows to cloud platforms (e.g., Databricks, BigQuery, PySpark).
• Develop and maintain dashboards (Power BI, Looker, Tableau) to communicate insights effectively.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders to align data solutions with business needs.
• Propose solutions and strategies to address complex business challenges.
• QualificationsBachelor s or Master's degree in Data Science, Statistics, or related field.
• Proven experience as a Data Scientist or Data Analyst, with demonstrated success in building and deploying data-driven solutions.
• Strong proficiency in Python, SQL, PySpark; experience with big data platforms (Databricks, BigQuery, Redshift, Hadoop).
• Solid understanding of machine learning and deep learning frameworks.
• Experience in data mining, feature engineering, and statistical modeling.
• Strong math and statistical skills; analytical mindset with problem-solving aptitude.
• Excellent communication and presentation skills to engage with both technical and non-technical stakeholders.
• (Preferred) Experience with stream processing, NLP, and scalable big data stores.
• 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).
• 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..

ประเภทงาน:

งานประจำ

• Monitor all data center systems including power, cooling, fire suppression, and physical security systems during the shift.
• Perform routine inspections and preventive maintenance of data center equipment to ensure optimal performance.
• Respond promptly to alerts, alarms, and incidents, escalating issues to higher-level technical teams or management as necessary.
• Maintain accurate logs and records of all operational activities, incidents, and maintenance tasks performed during the shift.
• Support the deployment, relocation, and removal of hardware and equipment in accordance with standard operating procedures.
• Ensure compliance with company policies, safety protocols, and regulatory requirements related to data center operations.
• Coordinate with cross-functional teams (network, facilities, security) to resolve operational issues efficiently.
• Assist in maintaining physical security and access control for the data center facility.
• Participate in shift handover meetings to ensure seamless transition and communication between shifts.
• Bachelor Degree s in Engineering.
• Prior experience in data center operations or facility management is an advantage.
• Basic understanding of data center infrastructure components (power, cooling, fire safety, security).
• Ability to work in a 24/7 shift environment including nights, weekends, and holidays.
• Strong problem-solving skills and attention to detail.
• Ability to follow procedures and work independently or as part of a team.
• Physical ability to handle equipment and perform routine inspections.
• Fluent in English both written and verbal (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Compliance, ISO 27001

ประเภทงาน:

งานประจำ

• Lead shift operations, ensuring proper execution of inspections, monitoring, and preventive maintenance.
• Supervise and guide technicians/engineers; conduct shift handovers and maintain accurate reports and logs.
• Monitor and control critical systems (electrical, mechanical, and fire safety) to ensure stable operations.
• Monitor and control electrical systems (UPS, PDUs, switchgear), mechanical systems (CRAC/CRAH, chillers), and fire safety systems.
• Respond to alarms, incidents, or system faults per SOPs/EOPs, performing initial containment and escalation.
• Coordinate maintenance work, vendor activities, and ensure compliance with safety and work permit standards.
• Support clients and internal teams with access, troubleshooting, and on-site assistance.
• Maintain adherence to safety, security, and operational standards (ISO 27001, TIA-942, Uptime Tier).
• Job Qualifications.
• Bachelor s degree in Electrical, Mechanical, or related Engineering fields.
• Minimum 5 years of experience in data center, critical facility, or industrial plant operations.
• Strong understanding of electrical and HVAC systems, UPS, generators, BMS, and fire systems.
• Experience working in 24x7 rotating shifts.
• Fluent in English both written and verbal (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.
• Preferred Qualifications.
• Data center certifications such as CDCP, CDCS, or equivalent are a plus.
• Experience working in Tier III or Tier IV environments.
• Familiarity with ISO 27001, TIA-942, and safety protocols (e.g., Lockout-Tagout, EHS standards).
• Able to work independently and lead small teams during high-pressure situations.

ทักษะ:

Express

ประเภทงาน:

งานประจำ

• Report Creation: Prepare and compile summary reports for management, presenting key workforce data insights in a clear and concise manner.
• Data Support: Assist in gathering, cleaning, and organizing data to support accurate reporting and dashboard updates.
• Documentation and Coordination: Maintain data-related documentation and coordinate with the data analyst to ensure timely and accurate reporting for decision-making.
• Requirements: Bachelor s degree in Business, Data analytics, Operations Management, or a related field.
• Fresh grad are welcome.
• Proficiency in creating professional summary reports using Google Sheets & Slides.
• Strong ability to ensure data accuracy and present findings clearly and effectively.
• Capable of managing multiple tasks, tracking data updates, and adhering to tight deadlines.
• Ability to convey data insights effectively to management and collaborate with the data analyst.

ทักษะ:

SAP, Excel, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลความต้องการของตลาด (Demand) และแนวโน้มการขาย เพื่อจัดทำ Demand Forecast ที่แม่นยำ.
• รวบรวมและตรวจสอบข้อมูลจากฝ่ายการขาย การตลาด และฝ่ายวางแผนการผลิต เพื่อให้การคาดการณ์สอดคล้องกัน.
• วางแผนและควบคุมปริมาณสินค้าคงคลัง (Inventory) ให้เหมาะสมกับความต้องการของตลาด.
• ประสานงานกับฝ่ายผลิต ฝ่ายจัดซื้อ และฝ่ายโลจิสติกส์ เพื่อให้มีสินค้าพร้อมจำหน่ายตามแผน.
• วิเคราะห์ความเสี่ยงและโอกาสด้านอุปสงค์และอุปทาน พร้อมเสนอแนวทางแก้ไขเมื่อมีความคลาดเคลื่อนระหว่างแผนและความเป็นจริง.
• จัดทำรายงานการคาดการณ์ยอดขาย สถานะสินค้า และประสิทธิภาพการวางแผนเพื่อเสนอผู้บริหาร.
• ปรับปรุงกระบวนการวางแผนด้วยการใช้เครื่องมือ Data Analytics และระบบ SAP.
• วุฒิปริญญาตรีขึ้นไป สาขา Supply Chain & Logistics Management, Business Analytics, Economics, Engineering หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Demand & Supply Analyst, หรือ Supply Chain Data Analyst อย่างน้อย 3-5 ปี.
• มีทักษะในการวิเคราะห์ข้อมูล (Excel, Power BI, Python).
• มีความเข้าใจระบบ ERP (เช่น SAP, Oracle).

ทักษะ:

SAP, Excel, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลความต้องการของตลาด (Demand) และแนวโน้มการขาย เพื่อจัดทำ Demand Forecast ที่แม่นยำ.
• รวบรวมและตรวจสอบข้อมูลจากฝ่ายการขาย การตลาด และฝ่ายวางแผนการผลิต เพื่อให้การคาดการณ์สอดคล้องกัน.
• วางแผนและควบคุมปริมาณสินค้าคงคลัง (Inventory) ให้เหมาะสมกับความต้องการของตลาด.
• ประสานงานกับฝ่ายผลิต ฝ่ายจัดซื้อ และฝ่ายโลจิสติกส์ เพื่อให้มีสินค้าพร้อมจำหน่ายตามแผน.
• วิเคราะห์ความเสี่ยงและโอกาสด้านอุปสงค์และอุปทาน พร้อมเสนอแนวทางแก้ไขเมื่อมีความคลาดเคลื่อนระหว่างแผนและความเป็นจริง.
• จัดทำรายงานการคาดการณ์ยอดขาย สถานะสินค้า และประสิทธิภาพการวางแผนเพื่อเสนอผู้บริหาร.
• ปรับปรุงกระบวนการวางแผนด้วยการใช้เครื่องมือ Data Analytics และระบบ SAP.
• วุฒิปริญญาตรีขึ้นไป สาขา Supply Chain & Logistics Management, Business Analytics, Economics, Engineering หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Demand & Supply Analyst, หรือ Supply Chain Data Analyst อย่างน้อย 3-5 ปี.
• มีทักษะในการวิเคราะห์ข้อมูล (Excel, Power BI, Python).
• มีความเข้าใจระบบ ERP (เช่น SAP, Oracle).

ทักษะ:

Statistics, Finance, SQL

ประเภทงาน:

งานประจำ

• วุฒิการศึกษาระดับปริญญาตรีขึ้นไป ในสาขา Data Science, Computer Science, Statistics, Business Analytics หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์วิเคราะห์ข้อมูลอย่างน้อย 3 ปี (5+ ปี สำหรับตำแหน่ง Senior) โดยเฉพาะในธุรกิจการเงินหรือธนาคาร.
• มีความรู้ความเข้าใจเกี่ยวกับผลิตภัณฑ์ของ SME / Corporate Banking เช่น Lending, Trade Finance, Treasury.
• มีทักษะในการใช้ SQL อย่างคล่องแคล่ว และใช้เครื่องมือวิเคราะห์เช่น Python, Power BI, Tableau หรืออื่นๆ.
• มีประสบการณ์ในการทำงานร่วมกับ Stakeholders ฝ่ายธุรกิจหรือผู้บริหาร.
• หากมีประสบการณ์ใน Data Modeling, Machine Learning หรือ Cloud Platforms (เช่น GCP, AWS, Azure) จะได้รับการพิจารณาเป็นพิเศษ.
• มีความคิดเชิงวิเคราะห์ดีเยี่ยม และสามารถเล่าเรื่องด้วยข้อมูลได้อย่างชัดเจน (Data Storytelling)..
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร ".

ประเภทงาน:

งานประจำ

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

ทักษะ:

Industrial Engineering, Finance, Project Management

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. .

ทักษะ:

Compliance, AutoCAD

ประเภทงาน:

งานประจำ

• Assist in the design and development of mechanical systems including HVAC, Fire protection, and Hydraulic systems tailored for data center needs.
• Help plan and manage maintenance activities for mechanical systems, ensuring adherence to industry standards and operational efficiency.
• Maintain accurate records of mechanical system designs, maintenance activities, and compliance with safety regulations.
• Participate in site inspections to assess mechanical systems' condition and ensure compliance with design specifications.
• Assist in coordinating with third-party vendors for maintenance and upgrades, ensuring that all work meets established standards.
• Be available to respond to on-site incidents and assist senior engineers in troubleshooting mechanical failures.
• Engage in ongoing training and professional development opportunities to stay updated on the latest technologies in the data center industry.
• Job QualificationsBachelor s degree in mechanical engineering or a related field is required.
• more than 5 years of experience in mechanical engineering, preferably within a data center or critical environment.
• Basic understanding of HVAC systems, mechanical design principles, and relevant software tools (e.g., AutoCAD).
• Strong problem-solving abilities to identify issues and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and vendors.
• Ability to work well within a team environment while also being capable of taking initiative when necessary.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.