āđāļāļāļāļīāļāļāļĨ āđāļāļāļĢāđāļ§āļīāļŠ āđāļŪāļĨāļāļīāđāļ āļāļģāļāļąāļ
āđāļĄāđāļĄāļĩāļāļģāđāļŦāļāđāļāļāļēāļāļŠāļģāļŦāļĢāļąāļāļāļĢāļīāļĐāļąāļāļāļĩāđ āļāđāļāđāļāļāļĩāđāđāļāđāļāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāļāļļāļāļāļēāļāļāļ°āļŠāļāđāļ
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Management, Sales, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļĄāļĩāļāđāļēāļāļāļĄāļĄāļīāļāļāļąāđāļ
- Drive expansion of BPTW across industries in Thailand.
- Develop and refine sales presentations, proposals, and positioning.
- Identify new business opportunities and growth channels.
- Support client-facing activities when needed.
- Marketing & Brand Building.
- Strengthen BPTW s brand presence and credibility.
- Collaborate on creation social media, video and employer branding content.
- Contribute ideas for campaigns and collaborations.
- Execution & Coordination.
- Translate management direction into clear, actionable plans.
- Coordinate across Sales, Marketing, Content, and partners.
- Ensure projects and tasks move forward on time and at high quality.
- Track progress and provide updates to management.
- Operations & Support.
- Support management in organizing and executing key initiatives.
- Improve workflows and internal coordination.
- Take ownership of tasks and deliver them end-to-end.
- Innovation & AI Tools.
- Identify opportunities to improve efficiency using AI and automation.
- Test tools and implement smarter ways of working.
- What We re Looking For.
- 4-7+ years of experience in B2B, marketing, operations, or similar roles.
- Fluent in Thai and English (written and spoken).
- Strong organizational and execution skills.
- Ability to manage multiple workstreams without losing detail.
- Experience creating presentations and marketing materials.
- Hands-on, proactive, and solution-oriented mindset.
- Interest in Employer Branding, HR, or B2B services.
- Why Join WorkVenture.
- Work with top companies in Thailand.
- Be part of a leading Employer Branding program (BPTW).
- Small but talented team that moves fast, high-impact role with strong ownership.
- Dynamic, collaborative environment with close exposure to management.
- Competitive salary and commission based on experience.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Procurement, Project Management, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Ensure geological and petroleum system study integration to get best of resource evaluation and delineation, de-velopment well and platform locations.
- Provide geological and subsurface uncertainty input to field development plan in coordination with reservoir engi-neer and other related parties.
- Evaluate and integrate the data of subsurface (logs, cores, seismic), reservoir and production to perform reservoir characterization analysis and resources assessment to identify new development and infill opportunities in mature fields and support pro ...
- Evaluate horizontal well opportunity by detailed reservoir analysis e.g. tank correlation, reservoir pressure & con-nectivity, sand mapping, reservoir characterization, HCIP estimation & economic analysis, Horizontal well planning & targeting, pre-job modelling.
- Execute horizontal well operations including preparation phase, drilling operations monitoring, and post-drilled evaluation / HCIP & reserves booking.
- Perform annual resources and reserve assessment.
- Prepare and execute delineation/ development drilling activities including preparation of delineation, development work program, well proposal, monitoring drilling operations, and post well evaluation to be in line with studies and programs.
- QA/QC geological technical works and perform as leadership role for oil development team.
- Professional Knowledge & Experiences.
- Bachelor s degree or higher in Geosciences.
- 15+ years of experience in E&P Business related to subsurface tools and technologies.
- Strong understanding of the Gulf of Thailand (GOT) petroleum system, with familiarity in the well factory concept and processes.
- Extensive experience in oil and gas reservoir development, including well planning and targeting, monitoring, and execution of deviated and horizontal wells within the GOT.
- Experience in reservoir management and EOR.
- Experience working in block G1/61 (Erawan, Platong or Satun & Funan) is an advantage.
- Proficient in subsurface software (e.g., Petrel, DSG) and related systems.
- Familiarity with procurement, contract preparation, and evaluation is an advantage.
- Experience in work program and budget preparation is a plus.
- Excellent communication and interpersonal skills.
- Good project management skill is required.
- Strong problem-solving abilities and a proactive approach to challenges.
- Ability to mentor and lead teams of geophysicists and other technical professionals.
- Ability to work in a dynamic, fast-paced offshore environment with a focus on delivering results.
- Strong written and verbal communication skills in English.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
8 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Good Communication Skills, Analytical Thinking, Leadership Skill, Problem Solving
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ35,000 - āļŋ40,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ, āļĄāļĩāļāđāļēāļāļāļĄāļĄāļīāļāļāļąāđāļ
- āļ§āļēāļāđāļāļāļāļēāļĢāļāļēāļĒāļĢāļ§āļĄāļāļķāļāļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒāļāđāļēāļāđāđāļāļĒāļāļąāđāļāļāđāļāļāļēāļāļāļĨāļĒāļļāļāļāđāļāļēāļĢāļāļēāļĒāļāļĩāđāļāļĢāļīāļĐāļąāļāļ§āļēāļāđāļ§āđ.
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļĢāļāļĩāļĄāļāļēāļĒāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļĒāļāļāļāļēāļĒāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļŦāļāđāļēāļāļēāļ āļŠāļģāļāļąāļāļāļēāļāļāļēāļĒ āđāļĨāļ°āļāļļāļāļāļĢāļāđāļāļēāļĢāļāļēāļĒāļāđāļēāļāđ āđāļŦāđāļāļĒāļđāđāđāļāļŠāļ āļēāļāđāļĢāļĩāļĒāļāļĢāđāļāļĒ.
- āđāļāđāđāļāļāļąāļāļŦāļē āļāļąāļāļŠāļīāļāđāļ āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļŦāļē āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļĩāļĄāļāļēāļĒ āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļāļģāļāļēāļāđāļāđāļāđāļāļāļĒāđāļēāļāļĢāļēāļāļĢāļ·āđāļ.
- āļŠāļāļāļāļēāļ āļŠāļąāļāđāļāļāļāļēāļĢāļāđ āļāļīāļāļāļēāļĄāļāļđāđāļĨ āđāļŦāđāļāđāļāļĄāļđāļĨāļāđāļāļāļāļĨāļąāļāļāļąāļāļāļĩāļĄāļāļēāļĒ āđāļāļ·āđāļāđāļŦāđāļāļĩāļĄāđāļāļīāļāļāļēāļĢāļāļąāļāļāļē.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ40,000 - āļŋ55,000
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļģāļŦāļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāļāļĨāļēāļ āļĢāļ§āļĄāļāļķāļāļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļĨāļāļĨāļķāļāļāļķāļāļāļĨāļĒāļļāļāļāđāļŦāļĢāļ·āļ Learning āļāļĩāđāđāļāļīāļāļāļķāđāļāļāļĢāđāļāļĄāļāļģāļŦāļāļāđāļāļāļāļēāļāđāļāļāļēāļĢāđāļāđāđāļāđāļĨāļ°āļ§āļąāļāļāļĨāđāļāļāļāļēāļāļāļąāđāļāđāļāđāđāļāđāļāļĒāđāļēāļāļāļąāļāđāļāļ.
- āļāļđāđāļĨāļāļāļāļĢāļ°āļĄāļēāļāđāļŦāđāļāļĒāļđāđāđāļ KPI āđāļĨāļ°āļāļēāļĢāđāļāđāļŠāļ·āđāļāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļāļāļēāļĢāļāļĨāļēāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļŠāļđāļāļŠāļļāļāđāļĨāļ°āļ§āļąāļāļāļĨāđāļāđāđāļāđāļāļĢāļđāļāļāļĢāļĢāļĄ.
- āļāļąāļāļāļģāđāļāļāđāļāļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāđāļĨāļ·āļāļāđāļāđāļŠāļ·āđāļāļāđāļāļāļāļēāļāļāđāļēāļ āđ āđāļāļ·āđāļāļāļĨāļąāļāļāļąāļ Performance āļāļāļāļŠāļ·āđāļ āđāļĨāļ°āđāļĨāļ·āļāļāđāļāđāļŠāļ·āđāļāđāļāđāļāļĢāļāļāļĨāļļāđāļĄāļĨāļđāļāļāđāļēāđāļāđāļēāļŦāļĄāļēāļĒāđāļāļŠāļāļēāļāļāļēāļĢāļāđāļāđāļēāļ āđ āļāļāļāđāļāļĢāļāļāļēāļĢāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļĄāļāļāļ āļēāļāļĢāļ§āļĄāļāļĨāļēāļāļāđāļāļĄāļđāļĨāļāļđāđāđāļāđāļāļĢāļ§āļĄāļāļąāđāļāļ āļēāļāļĢāļ§āļĄāļāļēāļāļāļēāļĢāļāļĨāļēāļāļāļāļāļāļļāļĢāļāļīāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ.
- Monitoring āđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļĨāđāļāļāļāļēāļāļāļēāļĢāļāļĨāļēāļāļĢāļ§āļĄāļāļąāđāļāļāļĢāļąāļāđāļāļĨāļĩāđāļĒāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāđāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļŠāļāļēāļāļāļēāļĢāļāđāļāļąāļāļāļļāļāļąāļ.
- āļāļģāđāļŠāļāļāđāļāļāļāļēāļĢāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒāđāļĨāļ°āļāļīāļāļāļĢāļĢāļĄāļāļēāļāļāļēāļĢāļāļĨāļēāļ (Campaign) āđāļāļ·āđāļāđāļāļīāđāļĄāļŠāđāļ§āļāđāļāđāļāļāļēāļĢāļāļĨāļēāļāļāļāļāđāļāļĢāļāļāļēāļĢāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļ.
- āļŠāļģāļĢāļ§āļāļāđāļāļĄāļđāļĨāļāļĨāļēāļ āļĒāļāļāļāļēāļĒ āļāļāļāļāļđāđāđāļāđāļ āđāļĨāļ°āļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāļĨāļāļĢāļ°āļāļ Marketing System āđāļāļ·āđāļāļāļģāļāđāļāļĄāļđāļĨāļĄāļēāđāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļļāļāđāļāđāļ āļāļļāļāļāđāļāļ āđāļĨāļ°āļŠāļĢāđāļēāļāļāļ§āļēāļĄāđāļāđāđāļāļĢāļĩāļĒāļāđāļāļāļēāļĢāđāļāđāļāļāļąāļ.
- āļ§āļļāļāļīāļāļĢāļīāļāļāļēāļāļĢāļĩ-āđāļ āļŠāļēāļāļēāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ, āļāļēāļĢāļāļĨāļēāļ āđāļĨāļ°āļŠāļēāļāļēāļāļ·āđāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļ§āļēāļāđāļāļāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļēāļ, āļāļīāļāļāļĢāļĢāļĄāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļĨāļēāļāđāļāļāļļāļĢāļāļīāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ 6 āļāļĩāļāļķāđāļāđāļ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļđāđāļĨāđāļāļĢāļāļāļēāļĢāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđāđāļāļāļ·āđāļāļāļĩāđāļāđāļēāļāļāļąāļāļŦāļ§āļąāļāļĄāļēāļāđāļāļāļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļŠāđāļ§āļāļāļāļ digital marketing āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļĨāļąāļāļāđāđāļāļ·āđāļāļāļĢāļąāļāļāļĢāļļāļ campaigns āđāļŦāđāļŠāđāļāļāļĢāļāļāļķāļ Target groups āđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļ āļēāļĒāđāļāđāļāļ§āļēāļĄāļāļāļāļąāļāđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđ āļāļģāļāļēāļāđāļāļīāļāļĢāļļāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļāļīāļāļąāļāļīāđāļāđāļāļĢāļīāļ.
- āļŠāļēāļĄāļēāļĢāļāļāļāļīāļāļąāļāļīāļāļēāļ 6 āļ§āļąāļ/ āļŠāļąāļāļāļēāļŦāđāđāļāđ.
- āļāļĢāļ°āļāļģāļāļĩāđāļāļĢāļļāļāđāļāļ āđāļāļĒāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļāđāļāļĢāļāļāļēāļĢāļāđāļēāļāļāļąāļāļŦāļ§āļąāļāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
āļāļąāļāļĐāļ°:
Finance, Statistics, Research, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor's or Master s Degree in Economics, Finance, Business Administration and Statistics or related fields.
- 7-10 years of related experience in economic and industry/ business analysis.
- Strong foundation in qualitative and quantitative research methods.
- Excellent written and verbal communication skills (in both Thai and English), including ability to translate research findings into clear and actionable results.
- Stay connected with KRUNGRI CAREER at:.
- FB: Krungsri Career.
- LINE: Krungsri Career.
- LinkedIn: Krungsri.
- 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..
- Talent Acquisition Department.
- Bank of Ayudhya Public Company Limited.
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
6 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SQL, IIS, Docker
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Engage with customers to understand business goals, application landscapes, and modernization needs.
- Lead discovery workshops covering current state application architecture, dependencies, and integration points.
- Re host / Containerization.
- Re platform & Refactor.
- Decompose & Iterative Strangulation.
- Cloud Native Application Design.
- Present modernization roadmaps, architecture diagrams, and migration strategies to customer technical and executive stakeholders.
- Collaborate with sales teams to support RFPs, RFIs, and customer bids with accurate technical inputs.
- Application Architecture & Modernization Design.
- Analyze legacy monolithic applications across application layer, web tier, batch processing, and data access layers.
- Evaluate applications for adaptability, scalability, resiliency, and cloud readiness.
- Microservices.
- API first architecture.
- Event driven and asynchronous processing.
- Container based deployments (AKS/EKS/GKE, RedHat OpenShift).
- Serverless components.
- Data migration (SQL Server Azure SQL / Managed Instances).
- App hosting migration (IIS,.NET, NodeJS Azure App Service).
- Moving from tightly coupled systems to loosely coupled microservices.
- Ensure proposed solutions follow cloud architecture best practices for security, cost optimization, performance, and reliability.
- Technical Leadership.
- Provide architectural guidance to delivery teams during early project phases (PoC, MVP, pilot).
- Mentor junior engineers and architects on cloud native and modernization technologies.
- Create reusable templates, modernization frameworks, and architectural accelerators for presales and solution teams.
- Cloud & Technology Expertise.
- Deep hands on knowledge of at least one major cloud provider (Azure preferred; AWS/GCP a plus).
- Containers & orchestration (Docker, Kubernetes, AKS/EKS).
- API Gateway, service mesh, and cross service communication.
- CI/CD pipelines and DevSecOps practices.
- Distributed tracing, logging, and monitoring.
- Experience analyzing and optimizing application resiliency using cloud native capabilities.
- Required.
- 6+ years experience in application architecture, solution architecture, or modernization consulting.
- Strong understanding of enterprise monolithic systems and modernization techniques.
- Experience designing cloud architectures on Azure (App Service, AKS, Functions, API Management).
- Proven presales or customer facing consulting experience.
- Ability to translate complex technical concepts into business friendly language.
- Preferred.
- Certifications such as Azure Solutions Architect, AWS Solutions Architect, or equivalent.
- Experience with microservices migration frameworks and strangler fig pattern implementations.
- Hands on understanding of DevOps automation (Azure DevOps, GitHub Actions, Jenkins).
- On-site Working About NTT DATA
- NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
- Equal Opportunity Employer
- NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
- Third parties fraudulently posing as NTT DATA recruiters.
- NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
āļāļąāļāļĐāļ°:
SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Understand RDT (Regulatory Data Transformation) requirement from BOT (Bank of Thailand).
- Provide data availability analysis, data source, data extraction criteria and confirm with related Domain expert, Data owner and support functions.
- Provide data validation rules.
- Confirm final data extraction logic with IT-RDT team.
- Support for any DQ issue and solution.
- Maintain RDT Center parameters.
- Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
- 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.
- Experience in regulatory data management, its relationship and dependencies.
- Well-versed in banking industry knowledge and strong in data-related skills.
- Well-versed RDT Regulation Literacy.
- Data profiling with variety data sources.
- Interpersonal skill with IT/Domain Expert/Data Owner, able to communicate well.
- Advance SQL skill is a must for this role.
- Banking background will be advantage.
- 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.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
āļāļąāļāļĐāļ°:
Product Development, Tableau, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Identify valuable data sources and automate collection processes.
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Build predictive models and machine-learning algorithms.
- Combine models through ensemble modeling.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
- Proven experience as a Data Scientist or Data Analyst.
- Experience in data mining.
- Experience using business intelligence tools (e.g. Tableau).
- Knowledge of SQL and Python.
- Understanding of machine-learning and operations research.
- Analytical mind and business acumen.
- Strong math skills (e.g. statistics).
- Problem-solving aptitude.
- Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ: (https://krungsri.com/b/privacynoticeth).
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Problem Solving, Import / Export, High Responsibilities, Purchasing, Meet Deadlines, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ35,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Executing & managing domestic & international purchases for all hotel departments.
- Handling all purchase operations from sourcing, negotiation, shipping & payment.
- Handling purchase for recurring items such as market lists as well as project items such as goods for hotel renovations.
- Monitoring inventory levels & preparing order plans.
- Fluent in Thai & English.
- Experience in purchasing & importing.
- Great teamwork, communication skills, ability to multitask & handle pressure.
- Detail-oriented & able to handle complex planning.
- Preference given to candidates with strong knowledge of advanced Microsoft Excel.
- Is This Job for You.
- This job is for someone who has experience & wants to grow in purchasing.
- This job is fit for those who want to work in essential area of hospitality operations.
- This job is for someone who is motivated to solve both regular problems & convert long-term challenges into opportunities.
- Rapos Group is a family-owned enterprise established in 1988 in Thailand. Our group is engaged in the textiles, chemicals & hospitality industries with multiple business units under the three.
- In textiles, Rapos (Thailand) Co., Ltd. (www.rapos.com) & associated companies is the leading supplier of manufacturing raw material for garment factories.
- In chemicals, Cleanfirm Co., Ltd. (www.cleanfirm.co.th) is engaged in the business of cleaning supplies distribution for hotels, restaurants & commercial spaces.
- In hospitality, our portfolio consists of 4 hotels & 500 rooms, specializing in the luxury boutique segment, as well as a number of renowned upscale F&B outlets.
- If this job sounds like you, we look forward to seeing your application!.
āļāļąāļāļĐāļ°:
Power point
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļļāļĢāļāļīāļ SME āđāļĄāđāļāđāļģāļāļ§āđāļē 2 āļāļĩ āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļĨāļīāļāļ āļąāļāļāđāļāļāļāļāļāļēāļāļēāļĢāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļŠāļģāļŦāļĢāļąāļāļĨāļđāļāļāđāļēāđāļāļāļĨāļļāđāļĄ SME āđāļāđāļāļāļĒāđāļēāļāļāļĩ (āļĨāļđāļāļāđāļēāļāļĩāđāļĄāļĩāļĒāļāļāļāļēāļĒāļĄāļēāļāļāļ§āđāļē 100 āļĨāđāļēāļāļāđāļāļāļĩ).
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāļāļāļ RM āļāļļāļāđāļāđāļāļāļļāļāļāđāļāļ āļāļāļāļāļĩāļĄāļāļēāļĒāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāļąāļāļāļđāđāđāļāđāļ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļ§āļ work load āļāļāļ RM āđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāđāļāđāļāđāļĨāļ°āļāļ·āđāļāļāļĩāđ āđāļĨāļ°āļĢāļ°āļāļļāļāļ·āđāļāļāļĩāđāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāđāļāļāļēāļĢāđāļĒāļāļĒāđāļēāļĒ āļŦāļĢāļ·āļāļāļąāļāļāļąāđāļāļāļĩāļĄāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļāļāļ·āđāļāļāļĩāđ (BC).
- āļĄāļĩāļāļąāļĻāļāļāļāļīāļāļĩāđāļāļĩāđāļāļāļēāļĢāļāļģāđāļŠāļāļāļŠāļīāđāļāļāļĩāđāļāđāļāļāļāļĢāļąāļāļāļĢāļļāļāđāļĨāļ°āļāļąāļāļāļēāđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļāļāļēāļĢāļāļģāļāļēāļāđāļŦāđāļāļąāļāļāļāļāđāļāļĢ.
- āļŠāļēāļĄāļēāļĢāļāđāļāļīāļāļāļēāļāđāļāļāļģāļāļēāļāđāļāļāđāļēāļāļāļąāļāļŦāļ§āļąāļ āđāļāđāđāļāļāļēāļāļāļĢāļąāđāļ (āļāļĢāļ°āļĄāļēāļ 30 āļ§āļąāļ / āļāļĩ).
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļāđāļāļŠāļēāļāļē āđāļĻāļĢāļĐāļĻāļēāļŠāļāļĢāđ, āļāļēāļĢāđāļāļīāļ, āļŠāļāļīāļāļī, āļāļēāļĢāļāļĢāļīāļŦāļēāļĢ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļēāļāđāļāļĢāđāļāļĢāļĄ MS Excel (Pivot Data), Power point āđāļĨāļ° Access āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāđāļāļĒāđāļēāļāđāļĄāđāļāļĒāļģ āđāļĨāļ°āļāļģāđāļŠāļāļāļāđāļāļĄāļđāļĨāļāļĩāđ Sensitive āđāļāđāļāļĩ āđāļāđāļ āļāđāļāļĄāļđāļĨāļāļĢāļīāļĄāļēāļāļāļēāļāļĄāļēāļāļāđāļāļĒāļāļāļ BC āļāļēāļĢāļāļĒāļēāļĒ /āļĨāļ BC āļāļēāļĄāļĢāļēāļĒāđāļāđāđāļĨāļ°āļāļ§āļēāļĄāļāļļāđāļĄāļāđāļē āļāļēāļĢāļāļĢāļąāļāđāļāļĨāļĩāđāļĒāļāđāļāļĢāļāļŠāļĢāđāļēāļāđāļāļ·āđāļāļāļāļāđāļāļāļĒāđāļāļāļēāļāļēāļĢ.
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
