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Skills:
SAP, SQL, NoSQL
Job type:
Full-time
Salary:
negotiable
- Manage the development and implementation strategy of SAP BI (Business Intelligence), BW (Business Warehouse), and BOBJ (Business Objects) systems in alignment with business objectives..
- Plan and develop dashboards and reports using SAP BOBJ to support management decision-making, setting priorities and directions for the development team..
- Supervise the system and team to ensure effective operations, maintaining continuous data quality, accuracy, and security..
- Continuously enhance system performance and modernize solutions in line with evolving technologies.
- Initiate and integrate new technologies to improve efficiency, streamline processes, and enhance BI system performance..
- Analyze the overall system landscape to ensure seamless integration and collaboration across the organization.
- Integrate systems to support current operations and future network expansion..
- Review and adapt strategies in response to changing circumstances to ensure organizational goals are achieved.
- Prepare and present detailed reports on operational outcomes to management.
- Bachelor s degree or higher in Computer Engineering, Computer Science, Information Technology, or a related field..
- Minimum 7 years of experience in building, managing, and optimizing data pipelines from multiple data sources..
- Strong understanding of data modeling, SQL, and database management concepts..
- Excellent analytical and problem-solving skills..
- Familiarity with Agile methodologies..
- Knowledge of NoSQL databases is an advantage..
- Hands-on experience with Big Data technologies and cloud platforms such as Azure, AWS, or GCP..
- Prior experience with SAP S/4HANA is a plus..
- SAP Certification in a relevant functional area is an added advantage..
- Fast learner, self-motivated, and proactive.
- Strong written and verbal communication and presentation skills.
- Service-oriented mindset with a collaborative approach to working with internal stakeholders.
- Excellent organizational and time management skills; able to balance and prioritize multiple tasks and projects effectively..
- Work Location: The Mall - Head Office (Ramkhamhaeng).
Skills:
SQL, Statistics, Digital Marketing
Job type:
Full-time
Salary:
฿40,000 - ฿45,000, negotiable
- Advanced SQL Query Development and Data Validation.
- Campaign Execution & End-to-End Campaign Management.
- Customer Segmentation & Target Customer Selection.
- Data Analysis & Insight Generation.
- Stakeholder Management & Cross-Functional Coordination.
- Presentation and Storytelling Skills.
- Project Management and Prioritization.
- Quality Control and Attention to Detail.
- Bachelor s degree or master s degree in finance, Business Administration, Marketing, Computer Science, Information Systems, Statistics, Data Analytics, or related fields.
- Minimum 1-2 years of experience in Campaign Management, Campaign Execution, CRM, Database Marketing, Customer Analytics, or related fields.
- Strong SQL skills are mandatory with the ability to extract, manipulate, validate, and analyze customer data independently.
- Experience in banking, financial services, lending products, retail banking, or digital marketing campaigns is highly preferred.
- Strong analytical and problem-solving skills with the ability to translate business requirements into campaign execution plans.
- Detail-oriented with strong project coordination and execution capabilities.
- Ability to manage multiple campaigns and priorities under tight timelines.
- Good written and verbal communication skills with the ability to collaborate effectively across business and technical teams.
- Ability to work independently and proactively drives campaign delivery from requirement gathering through post-campaign analysis.
- Preferred Qualifications.
- Experience in Campaign Management, Campaign Execution, Marketing Automation, CRM, or Database Marketing.
- Experience working with large customer databases and customer segmentation methodologies.
- Knowledge of banking products, customer portfolio management, and campaign performance measurement is a plus.
Skills:
Assurance, Excel, SQL, English
Job type:
Full-time
Salary:
negotiable
- Perform Anti-Financial Crime (AFC) data analytics (including AML and FATCA/CRS) to identify anomalies, potential risks, and system gaps across business processes.
- Validate system configurations and data controls to ensure full alignment with AFC regulatory requirements and internal compliance standards.
- Analyze complex datasets to detect trends, patterns, and emerging risks, and translate findings into actionable insights for risk mitigation.
- Conduct quality assurance (QA) reviews on AFC-related processes and high-risk cases to ensure accuracy, completeness, and compliance with policy and regulatory requirements.
- Document findings and escalate material issues with clear, actionable recommendations to strengthen controls and improve compliance effectiveness.
- FATCA Case Management & Questionnaire Review.
- Review and consolidate FATCA Questionnaire responses from Underwriting (UI), Policy Owner Services (PO), and Claims departments for COO approval prior to submission to Compliance.
- Review and summarize FATCA cases recorded in the manual log, ensuring completeness and accuracy of case documentation.
- Maintain organized records of all FATCA-related activities to support audit readiness and regulatory reporting.
- Management Information (MI) Reporting.
- Prepare analytical reports for Management and Compliance (BU Report) covering alerts backlog, system stability, and data reconciliation exceptions.
- Generate MI (Management Information) report and distribute to Group Office management team (GO Report) on a regular cadence.
- Deliver BU and GO analytical & MI reporting to senior management (BU CEO, CTO, Head of Data, COO, CCO).
- Design and develop reports and dashboards to visualize risk and compliance metrics in a clear, digestible format for executive audiences.
- Cross-Functional Collaboration & Continuous Improvement.
- Drive cross-functional collaborations with Technology, Data, Operations, and Compliance to strengthen data analytics capabilities and support business decision-making.
- Proactively identify opportunities to improve data quality, reporting efficiency, and analytical processes.
- Create and maintain documentation including requirements, data definitions, business rules, and Standard Operating Procedures (SOPs).
- Bachelor's degree or higher in Computer Science, Data Science or related fields.
- At least 5 years in data analytics, business intelligence, or MIS role, preferably in insurance or financial services.
- Experience with AML/CTF/FATCA/CRS regulatory frameworks is highly preferred.
- Preferred Certified Anti-Money Laundering Specialist (CAMS) or relevant AML/Compliance certification.
- Skilled in Advanced Excel, SQL, Power BI and RPA (UiPath and/or Power Platform).
- Excellence communication in Thai and English (Need to communicate with Group office in HK).
Skills:
Data Analysis, SQL, Linux, English
Job type:
Full-time
Salary:
negotiable
- Support incident management by investigating application issue, performing initial root cause analysis, documenting incident details, and coordinating with relevant teams to support timely issue resolution and prevent recurring problems.
- The primary liaison between users/clients, Helpcenter, and Developers, translating technical issues into clear and actionable business language.
- Monitor application performance and system health using tools such as Dynatrace, and collaborate with development teams to improve system reliability.
- Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
- Collaborate with teams to ensure stable operations, support system releases, user manual and maintain documentation.
- Effectively multi-task handling under pressure with the good quality.
- Qualifications:Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, or a related field.
- At least 1-3 years of experience in Application Support, Production Support.
- Familiarity with Linux/Unix operating system.
- Familiarity with relational databases and SQL.
- Experience with Cloud platform, AWS is a plus.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work under pressure in production environments.
- Strong ownership and accountability mindset.
- Good English communication skillใ.
- Please note that we will get in touch with shortlisted candidates only.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
- LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
- Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
- EN.
- (https://krungsri.com/b/privacynoticeen).
- 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.
Skills:
SQL, Visio, Microsoft Office
Job type:
Full-time
Salary:
negotiable
- For all RDT s requirement and enhancement, Provide data availability analysis, data source, data extraction criteria, sign off all the RDT changes, testing and ensure the correct result, together with related Domain expert, Data owner and support functions.
- Propose solutions to resolve issues/requirements and confirm final data extraction logic with IT-RDT team.
- Support and/or manage day-to-day DQ issue and/or questions from BOT, and provide sol ...
- Maintain RDT Center parameters.
- Apply now if you have these advantages.
- Bachelor s degree or higher in Computer Science / Management Information System or any related field.
- Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance more than 6 years for team lead.
- Experience in regulatory data management,its relationship and dependencies.
- Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
- Well-versed in RDT regulation literacy.
- Advance Business Analytical skill, Business Rules and Business Solutions.
- Advance Data Model Mindset.
- Advance SQL/ Visio.
- Microsoft Office: Excel/ Word/ Power Point.
- Data profiling with variety data sources.
- Ad-hoc management.
- Well interpersonal skill with IT/Domain Expert/Data Owner.
- 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).
Skills:
SQL, Power BI, Python
Job type:
Full-time
Salary:
negotiable
- วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
- วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
- จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
- พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
- ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
- ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
- สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
- มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
- สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
- มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
- มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
- หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
- ทักษะที่จำเป็นSQL.
- Power BI.
- Microsoft Excel.
- Customer Analytics.
- CRM & Loyalty Analytics.
- Dashboard Development.
- Analytical Thinking..
Skills:
Statistics, SQL, Excel
Job type:
Full-time
Salary:
negotiable
- Analyze collections portfolio performance (e.g., delinquency rates, roll rates, recovery rates) and provide actionable insights.
- Develop and maintain dashboards and reports to track collections KPIs and agent performance.
- Identify trends, risk segments, and behavioral patterns to improve collections strategies.
- Support strategy design such as segmentation, prioritization, and treatment optimization.
- Collaborate with Collections teams to translate business needs into analytical solutions.
- Perform ad-hoc analysis to support decision-making and ongoing initiatives.
- Ensure data accuracy, integrity, and consistency across reporting systems.
- Automate reporting processes to improve efficiency and reduce manual work.
- QualificationsBachelor s degree in Data Analytics, Statistics, Mathematics, or a related field.
- 2-4 years of experience in data analysis (experience in collections, banking, or financial services is a plus).
- Strong proficiency in SQL and Excel; experience with Python, R, or BI tools (e.g., Power BI, Tableau) is preferred.
- Good understanding of collections business is an advantage.
- Strong analytical thinking and problem-solving skills.
- Ability to communicate insights clearly to non-technical stakeholders.
- Detail-oriented with a high level of accuracy.
Skills:
Statistics, Big Data, Python
Job type:
Full-time
Salary:
negotiable
- Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
- Data Cleansing and Processing-massage and organize data for further advance analytic.
- Correlate disparate datasets.
- Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
- Identify new business questions that can add value to organization.
- Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
- Discover and create new data features leading to data solutions creation.
- Using data visualization technique and presenting clear outcome as storytelling.
- Apply now if you have these advantages.
- Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
- Must have experience in personalize recommendation and offering for mobile application users.
- 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
- 2+ years of experience in Big Data or AI/ML projects.
- 2+ years of experience in Enterprise Data Warehouse and/or data mining.
- Experience in solving business questions projects.
- Strong in Mathematics & Statistics.
- Strong in programming skill: prefer R, Python, SQL.
- 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).
Skills:
Power BI, Tableau, Finance, English
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Automation, Statistics, Excel
Job type:
Full-time
Salary:
negotiable
- Prepare and maintain portfolio data, MIS reports, and dashboards.
- Analyze portfolio performance, credit quality, and risk indicators.
- Provide insights to support business and management decisions.
- Improve reporting processes through automation and digital solutions.
- Support data migration, transformation, and system enhancement initiatives.
- Coordinate with stakeholders across Business, Risk, Operations, and IT.
- QualificationsBachelor's degree in IT, Statistics, Finance, Economics, Business, or related fields.
- Minimum 5 years' experience in MIS, Data Analytics, Credit Risk, Portfolio Management, or related areas.
- Banking or financial services experience preferred.
- Strong Excel and reporting skills; SQL knowledge required.
- Experience with Power BI, Tableau, SAS, Python, or similar tools is a plus.
- Understanding of Commercial Banking, Credit Risk, or Lending.
- Strong analytical, communication, and stakeholder management skills.
- Experience in BI, automation, AI, data transformation, or system implementation projects is an advantage.
- Only shortlisted candidates will be contacted.
- (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..
- FB: Krungsri Career.
- LINE: Krungsri Career.
- Linkedin: Krungsri Career.
- Talent Acquisition Department.
- Bank of Ayudhya Public Company Limited.
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
Job type:
Full-time
Salary:
negotiable
- Department: Data Commercialization.
- As a data analyst in Infinitas, you would expect a new level of analytical experiences here. Being part of Data Innovation team, your goal is to make data useful for all stakeholders. Under the big umbrella of the leading bank in Thailand, Infinitas leverage the largest financial data sets from both traditional banking and mobile banking services. From customer digital footprint to branch, ATM and call center. We measure every single touch point to improve customer service and business performance. ...
- Job Responsibilities.
- Conduct data inventory research with product owner, business owner and IT BA to gain full understandings of data availability.
- Communicate with business owners to translate business problem/challenge into actionable analytical solution.
- Initiate EDA ideas to tag hidden opportunities for customer, product, channel and other various areas.
- Analyse digital and traditional user journey funnel and customer persona.
- Visualise data for fast decision making and insight interpretation.
- Define customer segmentations for strategy planning and marketing targeting.
- Plan holistic A/B testing campaigns to evaluate data values on business impact.
- Design and fulfill monitoring dashboards and automated reports.
- English as working language.
- Minimum of 3 years data analytics related working experiences.
- At least 1 year of working experience directly communicate to business team.
- Proficient in Python or SQL.
- Advanced hands on experiences with visualization tool.
- Strong communication and analytical thinking skills.
- Good balance of data and business knowledge.
- Fintech or banking industry.
- Internet companies with mobile application.
- Contact: K.Wannaporn 02------866.
- You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.
Job type:
Full-time
Salary:
negotiable
- Department: Data Commercialization.
- Data Innovation team under Infinitas is a centralized data enabler to serve both digital and traditional arms of Krungthai Bank. Working as a data scientist here, you would be able to leverage huge amount of financial transaction and customer digital footprint data to improve our personalized solutions accessed by more than 40 million customers. Over a wide range of undergoing projects, there are many interesting ML tasks waiting for you. These cover recommendation, optimization, and prediction solu ...
- Job Responsibilities.
- Brainstorm with Business User and Data Analyst to propose practical ML solution for solving business problems.
- Translate problem statement into model requirements and action plans.
- Adopt agile development approach to deliver prompt solutions phase by phase.
- Conduct EDA and feature engineering from both raw and aggregate data sources.
- Maintain, enrich, and expand ML data feature pools.
- Develop quantitative models to solve estimation, prediction, or optimisation problems.
- Work with experienced business experts to develop heuristic models to handle cold start or insufficient data situations.
- Design complete score validation framework throughout the model life cycle.
- Measure model performance and monitor feature shifting in production environment.
- Work with ML Engineer or Data Engineer to optimise scoring processing time.
- English as working language.
- Minimum of 3 years of data field working experiences.
- At least 1-year hands-on modeling experiences.
- Proficient in Python, good at SQL.
- Strong logical thinking and creative thinking.
- Independently work on end-to-end ML process.
- Solid record of successful model development with business impact in production.
- Fintech, big tech or banking industry.
- Real time ML model deployment experiences.
- Contact: K.Wannaporn 02------866.
- You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.
Skills:
Java, Full Stack, Web Services
Job type:
Full-time
Salary:
negotiable
- Drive development and enhancements within the Krungsri Lending Hub platform.
- Work with cross-functional teams to gather requirements and establish technical specifications.
- Continuously collaborate with teams on future enhancements to the solution based on business needs.
- Troubleshoot and debug complex issues in production environments, providing timely resolutions and preventive measures.
- Bachelor's degree or higher in computer science or a related field.
- At least 7 years of experience in IT, specifically in the banking business.
- Proficient in Java Full stack, Java Script, designing, and implementing APIs, Web Services, Microservices and OOP.
- Basic knowledge of operating systems such as Windows Server, UNIX or Linux, and cloud platforms like RedHat OpenShift Container Platform.
- Direct experience in Java programming, developing, or implementing APIs, Web Services, Microservices, and databases such as MySQL or Oracle.
- Familiarity with lending functionalities and loan processes.
- Experience in workflow management tools and process transformation.
- Programming skills: JAVA Full Stack, JAVA Script, HTML, Oracle SQL, MSSQL, C#.net, Rest APIs, XML, JSON, Angular, Node.js.
- Operating System/Platform knowledge: Unix, Linux/Redhat, Windows.
- Experience in RedHat OpenShift Container Platform.
- Strong analytical skills and the ability to quickly learn complex processes.
- Experience with DevOps practices, CI/CD pipelines, automated testing, and software quality assurance processes.
- Proven experience in Agile/Scrum delivery environments.
- Experience managing development activities across the full Software Development Life Cycle (SDLC).
- Please note that we will get in touch with shortlisted candidates only.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
- LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
- Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
- EN.
- (https://krungsri.com/b/privacynoticeen).
- 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.
Job type:
Full-time
Salary:
negotiable
- ตรวจสอบรายงานสรุปข้อมูลการใช้งานพาเลทประจำเดือน.
- ควบคุมและตรวจสอบข้อมูลยอดไม้พาเลทสภาพดี ไม้พาเลทชำรุดรอซ่อมแซม และไม้พาเลทชำรุดเกินซ่อมแซมให้ถูกต้องกับระบบ HMS และ Web Reconcile.
- แนะนำและพัฒนาความรู้เกี่ยวกับการใช้งานไม้พาเลท และการใช้งานโปรแกรมอื่นๆ ให้กับผู้ใต้บังคับบัญชาอย่างถูกต้อง (หมายเหตุ: ข้อความขัดแย้งกับส่วนจำนวนผู้ใต้บังคับบัญชาที่ระบุว่าไม่มี).
- รายงานเปรียบเทียบยอดคุณภาพไม้พาเลทส่งคืนกับยอดคุณภาพไม้พาเลทที่รับจริงให้ตรงกัน.
- ติดตามหน่วยงานที่เกี่ยวข้องเกี่ยวกับข้อมูลไม้พาเลทชำรุดในแต่ละภาค และนำเสนอข้อมูลรายงานต่อผู้บังคับบัญชา.
- ติดตามจำนวนไม้พาเลทที่ไม่ผ่านคุณภาพ (โรงงานปฏิเสธการรับ) ต้องไม่เกินกว่าระดับการวัดประสิทธิภาพการทำงาน โดยพิจารณาจากจำนวนความต้องการใช้ไม้พาเลททั้งหมดของโรงงาน (ไม่รวมจากบริษัท Loscam).
- ตรวจสอบและติดตามหาสาเหตุไม้พาเลทที่สูญหายตามความเป็นจริง.
- ควบคุมและตรวจสอบงานอื่นตามที่ได้รับมอบหมาย.
- เสนอแนะแนวทางการทำงาน ตลอดจนโครงการใหม่ๆ สำหรับงานบริหารไม้พาเลท ให้คำปรึกษาและติดตามงานแก่ผู้ใต้บังคับบัญชา.
- ปริญญาตรี หรือปริญญาโท การจัดการโลจิสติกและโซ่อุปทาน การจัดการสินค้าคงคลัง หรือสาขาอื่นที่เกี่ยวข้อง.
- ประสบการณ์ทำงานด้านคลังสินค้า ด้านขนส่ง หรือด้านโลจิสติกส์ ตั้งแต่ 3-5 ปี.
- มีความรู้ความสามารถในการบริหารงานไม้พาเลท.
- มีทักษะในการบริหารและวิเคราะห์งานคลังสินค้า.
- มีความรู้ในการใช้งานโปรแกรม Microsoft Office รวมไปถึงโปรแกรมด้านฐานข้อมูล เช่น Access, SQL และอื่นๆ.
- สามารถสรุปวิเคราะห์ข้อมูลเชิงปริมาณ และสามารถนำเสนอในรูปแบบของรายงานได้.
- มีทักษะในการสื่อสาร ตลอดจนสามารถประสานงานกับหน่วยงานภายใน และภายนอกองค์กรได้.
- มีภาวะความเป็นผู้นำ.
- มีทักษะในการทำงานเป็นทีมได้เป็นอย่างดี 10.มีความสามารถในการบริหารการเปลี่ยนแปลงให้เป็นรูปธรรม.
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