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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- Supervising quality of all content (Candidate and HR).
- Ensuring all content align to high standards.
- Vertical Media Management.
- Vertical Videos and Office Highlights.
- Vertical Video Podcasts for EB clients, with clients' HR personnel..
- Transforming traditional content into engaging vertical formats for our mobile-first audiences.
- Written Content Oversight.
- Supervising writing content articles for all our EB clients (articles, Office Highlights etc.).
- Crafting compelling narratives that showcase company cultures and employee experiences.
- Podcast Management.
- Executing creation of HR related WorkVenture Podcasts.
- To demonstrate our expertise in Employer Branding and to enable showcase for our clients..
- Executing creation of Candidate Related Podcasts.
- Building thought leadership through authentic conversations about workplace trends.
- Social Media Content Development.
- Finding new ideas and producing candidate & B2B HR content.
- Maintaining our TikTok, Facebook, and LinkedIn presence.
- Creating vertical and horizontal format content.
- Staying ahead of social media trends to keep the content fresh and engaging.
- Creativity.
- Exceptional creative thinking and innovative approach to content.
- Ability to generate fresh ideas that capture audience attention.
- Talent for visual storytelling across different media formats.
- Organizational Skills.
- Outstanding project management abilities to handle multiple content streams.
- Excellence in planning, prioritizing, and meeting deadlines.
- Additional Requirements.
- Experience in content creation & management (2+ years preferred).
- Proficiency with digital content creation tools.
- Strong communication and team collaboration skills.
- Ability to adapt quickly to changing trends and audience preferences.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, Data Analysis, SAS, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
- 2-3 years of experience.
- Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science).
- Strong English communication.
- Solid business acumen.
- Strong statistical and analytical skills.
- Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
- Experience designing and analyzing A/B tests.
- Works independently on daily analytics tasks and provides business recommendations.
- Experience in digital marketing.
- Academic research experience.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļąāļāļĐāļ°:
Finance, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļąāļāļāļĩ āļāļēāļĢāđāļāļīāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāđāļēāļāļāļēāļĢāļāļĨāļēāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ āđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāļļāļĢāļāļīāļ.
- āļŦāļēāļāļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ..
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°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°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ 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 ".
āļāļąāļāļĐāļ°:
Sales
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Warehouse rental space,.
- Transport & distribution services (via Bevchain and own fleet),.
- Call center and BPO solutions.
- Fuel, lubricant, and automotive chemical products.
- Car insurance sales.
- Sales of GPS and other IoT transport monitoring devices.
- (4) Build strong client relationships and ensure high levels of customer satisfaction and retention.
- (5) Collaborate closely with product, operations, and finance teams to develop tailored client solutions.
- (6) Monitor sales performance, conduct regular forecasting, pipeline reviews, and report to senior leadership.
- (7) Represent the company in key negotiations with strategic clients and partners..
- Specification.
- Bachelor s or Master s degree in Business, Marketing, Logistics, or related.
- Minimum 8-10 years of experience in sales or commercial roles, preferably in logistics, supply chain, or B2B services.
- Strong leadership skills with proven success in leading cross functional sales.
- Strategic thinker with hands on experience in deal structuring, pricing strategy, and customer solutioning.
- Excellent communication, negotiation, and stakeholder management skills.
- Proficient in modern digital and analytics tools such as WMS, TMS, ERP for data driven decision making.
- Deep understanding of supply chain risk management, resilience planning, and navigating market uncertainties..
āļāļąāļāļĐāļ°:
Risk Management, Automation, JSON
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Own the QA strategy and direction for a large-scale digital banking platform covering backend, frontend, mobile, and mini app layers.
- Define and align an end-to-end testing approach, integrating both manual and automated techniques in collaboration with internal and external teams.
- Work closely with developers, product owners, analysts, and integrators to ensure early defect prevention and comprehensive test coverage.
- Plan and oversee the execution of E2E test scenarios, including test data setup, environment readiness, and risk management across dependencies.
- Drive automation adoption and innovation identify automation opportunities, prioritize high-impact areas, and partner with SDETs to embed automation into the core of the QA process.
- Track and improve quality KPIs (e.g., DRE, defect leakage, regression pass rate), using insights to continuously refine strategy and execution.
- Consolidate test coverage and defect trends to uncover recurring patterns, root causes, and actionable areas for improvement.
- Coach, mentor, and grow a team of 6-12 QA Engineers, fostering ownership and technical excellence.
- Proactively identifies improvement opportunities in QA workflows, tools, or communication aiming to improve coverage, reduce test cycle time, or increase confidence with the same or fewer resources.
- Encourages a culture of continuous improvement within the team by fostering experimentation, learning, and sharing of better testing practices across squads.
- 5+ years of experience in software QA, with at least 2 years in a QA leadership role.
- Strong experience in functional testing, preferably in the banking or financial services industry.
- API testing (REST, JSON/XML, Postman or similar tools).
- Mobile application testing (Android/iOS platforms).
- Mini app testing (within super apps or embedded environments).
- Proven experience planning and executing E2E tests across complex system landscapes.
- Ability to align QA efforts with stakeholders across multiple teams and systems.
- Experience collaborating with automation teams or contributing to test automation planning.
- Hands-on experience defining and scaling automation strategies, preferably in CI/CD environments.
- Solid understanding of QA processes, test management tools and defect tracking.
- Strong leadership, communication, conflict management problem-solving skills, especially in cross-team settings.
- Ability to work in fast-paced, cross-functional teams and manage multiple priorities.
- 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 Resources Function by typing the link from the image that stated below.
- EN.
- (https://krungsri.com/bprivacynoticeen).
- 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.
āļāļąāļāļĐāļ°:
Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor/ Master s degree in business administration, finance, economics, marketing or related field.
- At least 5 years of total experiences.
- At least 3 years of direct experiences..
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Understanding the brands marketing objectives, pain points, and opportunities.
- Drive revenue growth performance through account management operations, owned initiatives and stakeholders performance steering
- Lead project management initiatives, including designing work process/ related materials, prioritizing tasks, and managing internal/ external teams to various deliverables through collaboration with other departments
- Working closely with Regional Strategic Account Lead to support the brands in adopting and maximizing the Lazada Sponsored Solutions' potential in achieving their business objectives.
- Monitoring the marketing performance and providing actionable insights for brands to effectively utilize their marketing spend.
- Build relationships to plan future direction to increase traffic and sales with Sponsored Solutions.
- Fluent English Speaking
- 3-5 years] working experience in key account management or relationship management role. Prior experience in Management Consulting/ Project Management / Business Development / e-Commerce / Account management
- Passionate in problem-solving and tenacious in supporting clients to achieve their business objectives. Resilient and willing to take setbacks as a learning opportunity.
- Adept with numbers and able to spot actionable insights through data and analytics. Ability to run basic analytics using Microsoft Excel and story-lining business proposals using Microsoft PowerPoint
- Will strongly consider a candidate that is able to code SQL, use AI to integrate to the work.
- Excellent communication, negotiation, and relationship management skills.
- Excellent written and verbal communication skills both in English, Thai & Chinese is a plus.
- Strong analytical and problem-solving skills
- Good leadership skills with ability to work independently and initiate projects/ solutions
- Good team player, positive attitude and eager to learn.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Finance, Accounting, Energetic, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Qualify prospects and business opportunities.
- Identify and contact prospective clients for business opportunities, generate business proposals and service existing accounts.
- Contact and meet prospective clients for business opportunities.
- Build long-term relationships with clients.
- Respond to Request for Information (RFI) and Request for Proposal (RFP).
- Write and review proposals and all other relevant pre-sales documents.
- Bachelor's OR Master's degree in Finance, Accounting or Business Administration.
- Good interpersonal and communication skills (verbal and written) including the ability to work with senior level management, corporate, in addition to technical and non-technical personnel..
- Good personality, highly energetic, customer focused and self motivated.
- Good skills in presentation, communication, negotiation, analytical skill and work independently.
- Having 3 year of experience in Sales&Marketing or Banking Business.
- āļāļĢāļ°āļāļąāļāļŠāļļāļāļ āļēāļ.
- āļāļĢāļ°āļāļąāļāļŠāļąāļāļāļĄ.
- āļāļāļāļāļļāļāļŠāļģāļĢāļāļāđāļĨāļĩāđāļĒāļāļāļĩāļ.
- āđāļĒāļĩāđāļĒāļĄāđāļāđ āđāļĒāļĩāđāļĒāļĄāļāļĨāļāļ.
- āļāļāļāļāļ§āļąāļāļ§āļąāļāđāļāļīāļāļāļāļąāļāļāļēāļ.
- āļāļĢāļ§āļāļŠāļļāļāļ āļēāļāļāļĢāļ°āļāļģāļāļĩ.
- āđāļāļīāļāļāđāļ§āļĒāđāļŦāļĨāļ·āļāļāļēāļāļĄāļāļāļĨāļŠāļĄāļĢāļŠ.
- āđāļāļīāļāļāđāļ§āļĒāđāļŦāļĨāļ·āļāļāļēāļāļĻāļ.
- āļāļēāļĢāļāļķāļāļāļāļĢāļĄāđāļĨāļ°āļāļąāļāļāļēāļāļāļąāļāļāļēāļ.
- āļāđāļēāļāļāļāđāļāļāļāļīāđāļĻāļĐ.
- āđāļāļāļąāļŠāļāļēāļĄāļāļĨāļāļēāļ / āļāļĨāļāļĢāļ°āļāļāļāļāļēāļĢ.
āļāļąāļāļĐāļ°:
Good Communication Skills
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļāđāļēāļāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļąāļāļāļĩ āļāļēāļĢāđāļāļīāļ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļ§āļīāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢāļāđāļēāļāđ āļāļāļāļāļāļēāļāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļ āđāļĨāļ°āļĄāļĩāļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļīāļāļāđāļāļŠāļ·āđāļāļŠāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļāļēāļĒāđāļĨāļ°āļāļēāļĢāļāļĨāļēāļ..
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°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°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ 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 ".
āļāļąāļāļĐāļ°:
Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Coordinate and facilitate the procurement requirements of Spare Parts (Maintenance - Mechanical) for the assigned plants.
- Evaluate suppliers/subcontractors and negotiate purchase agreements by comparing specifications and technical of work.
- Monitor, evaluate and improve supplier performance, according to an appropriate Service Level Agreement/Contract, including on time delivery, quality, specification and corrective action on a continuous basis.
- Manage inventories and maintain accurate purchase and pricing records.
- Coordinate with concerned parties to ensure proper storage and installation.
- Maintain and update a list of suppliers and their qualifications, delivery times, and potential future development.
- Maintain updated records of purchased products, delivery information and invoices in the procurement systems.
- Provide on-site feedback for the improvement of purchasing strategy to maintain consistently high standard of services.
- Work with team members and supervisor to complete duties as needed.
- Job QualificationsBachelor s degree or higher in Engineering or related fields.
- Minimum 2 years experience in purchasing and sourcing, inventory purchasing or inventory control (New graduate who is a high-potential and seeking for job challenging is also welcome).
- Experience in power plant would be an advantage.
- Good knowledge of vendor sourcing practices (Researching, evaluating and liaising with vendors).
- Working independently and being a self-motivated person.
- Positive thinking, being a result-oriented and having a commitment to deadline.
- Communications and negotiation skills.
- Good command in English (Minimum 750 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Organize sales promotional activities with suitable accounts in accordance with distributors and marketing team
- Monitor sales and distribution performance,and take timely action to drive continuous improvement
- Manage distributors to achieve commercial objective, including sales target, distribution, merchandisingetc.
- Visit assigned account under monthly and weekly routing plan to strengthen relationship and to ensure all sales fundamental activities are achieved.
- Maintain and improve displays of company s products in each store visited and identify opportunities for display such as at key traffic points in stores
- Ensure in stored presence in responsible accounts with partially lead the direction
- Review and update business performance, strengthen relationship, perform cooperative store problem solving, new product and product detail alteration, promotion proposition, settle trade expense and gain competitor information.
- Bachelor s Degree in Business Administration, Marketing or any other related field.
- Experience Modern trade in FMCG or Food industry >8 years. (Milk, Frozen Food or beverage is an advantage)
- Experience in distributor development or distributor management is an advantage.
- Able to communicate in English and conversation.
- Computer literacy (Power point and Excel).
- Able to perform well under pressure with strong desire to achieve sale target.
- Have own car with driving license.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ16,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļēāļāđāļāļāļāļēāļĢāļāļāļŠāđāļāļŠāļīāļāļāđāļē āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļģāļŦāļāļāļ§āļąāļāļŠāđāļāļĄāļāļāļāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļ (Order).
- āļāļĢāļ§āļāļŠāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļ (Order) āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāđāļēāļĒāļāļēāļĒāđāļāļĩāđāļĒāļ§āļāļąāļāļĢāļēāļĒāļāļēāļĢāļāļĩāđāļāļ°āļāļąāļāļŠāđāļ.
- āļāļĢāļ§āļāļŠāļāļāļāļģāļŠāļąāđāļāļāļ·āđāļāļĨāđāļ§āļāļŦāļāđāļē 1 āļŠāļąāļāļāļēāļŦāđ āđāļāļ·āđāļāđāļāđāļāđāļŦāđāļāđāļēāļĒāļāļēāļĒāļāļĢāļēāļ āđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāļāļĢāđāļāļĄāļāļāļāļĢāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļāļāļŠāđāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļē.
- āđāļĄāđāļāļģāļāļąāļāđāļāļĻ.
- āļāļēāļĒāļļ 24-36 āļāļĩ.
- āļŠāļģāđāļĢāđāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļ āļāļ§āļŠ. āļāļķāđāļāđāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļŠāļēāļĒāļāļēāļāļāļĒāđāļēāļāļāđāļāļĒ 1 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļāļĨāđāļēāļāļīāļ āļāļĨāđāļēāļāļąāļāļŠāļīāļāđāļ āđāļĨāļ°āļŠāļ·āđāļāļŠāļēāļĢāļāļĒāđāļēāļāļāļąāļāđāļāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđ.
- āđāļāļīāļāļāļēāļāļĄāļēāļāļģāļāļēāļāđāļāļāđāļāđ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ18,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļģāđāļāļāļāļēāļĢāļāļĨāļīāļ/āļāļĢāļĢāļāļļ āđāļāļ·āđāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļŠāļīāļāļāđāļēāđāļĨāļ°āļāļēāļĄāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļĨāļđāļāļāđāļē.
- āļāļąāļāļāļģāđāļāļāļāļēāļĢāļŠāļąāđāļāļŠāļēāļĢāđāļāļĄāļĩ āđāļāļ·āđāļāđāļŦāđāđāļāļĩāļĒāļāļāļāļāđāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŠāđāļ§āļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļąāđāļāđāļāļŠāđāļ§āļ āļāļģāļāļāđāļŦāđāļāļĨāļīāļ/āļāļĢāļĢāļāļļāļŠāļīāļāļāđāļē, āļāļēāļĢāļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļĢāļąāļāđāļāđāļēāļŠāļēāļĢāđāļāļĄāļĩ āļĢāļ§āļĄāļāļąāđāļ āļāļēāļĢāļĢāļąāļ-āļāđāļēāļĒāļŠāļīāļāļāđāļē.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢāļāļēāļĢāļāļģāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļēāļĄāļĢāļ°āļāļ ISO 9001:2015.
- āļāļēāļāļāļ·āđāļāđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āđāļāļĻāļāļēāļĒ āļāļēāļĒāļļ 23 - 35 āļāļĩ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļāļ§āļŠ.āļāļķāđāļāđāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļ§āļēāļāđāļāļāļāļĒāđāļēāļāļāđāļāļĒ 1 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļģāļāļ§āļāļāļēāļāđāļāļĄāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđ MS Office āđāļāđāļāļĒāđāļēāļāļāļĩ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Software Development, SQL, Python, Windows API, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- Maintain overall system efficiency by conducting daily monitoring, verifying system integrity, reviewing application and system logs, and ensuring completion of scheduled processes such as data backups. Provide user support and ensure optimal performance of the Local Area Network (LAN), including internet access.
- Implement and monitor system and network security through intrusion detection, firewall and VPN maintenance, and regular assessments of critical servers (e.g., DHCP, DNS, application and web servers).
- Work with internal users, clients, and stakeholders to gather and analyze system requirements for new development or system enhancement initiatives.
- Design system architecture, develop flowcharts and data models to illustrate functional logic, integration points, and data exchange across components.
- Identify system-related risks and propose mitigation strategies to ensure seamless implementation and long-term stability.
- Environmental Observation Station Integration.
- Ensure seamless integration, functionality, and data transmission between field-based observation stations and RIMES s central data systems.
- Collaborate with hardware and field operation teams to troubleshoot equipment or communication issues affecting data collection and transmission.
- Perform regular system maintenance, including software updates, backups, and performance checks. Set up automated alerts to detect and report system anomalies or failures.
- Monitor and maintain inventory of servers, sensors, and associated equipment; provide recommendations for necessary replacements or upgrades.
- Technical Advice, Testing, Validation, and Support.
- Develop and execute test plans, including test scripts and scenarios, to validate system functions against business or user requirements.
- Provide technical advice related to hardware configuration, system enhancement, and software acquisition, along with database, server, user access, and security management support.
- Coordinate with software development teams to support system integration and provide feedback from operational and user perspectives.
- Develop and maintain technical documentation, user manuals, system configuration records, troubleshooting guides, and security protocols.
- User & Application Development Support.
- Manage user accounts, including new account creation, permission control, and password reset requests.
- Support User Acceptance Testing (UAT) processes and troubleshoot functional issues and system errors identified during development or rollout.
- Coordinate with developers, IT support staff, and end users to diagnose and resolve application issues.
- Train users on systems access, cybersecurity, software use, customization options, and basic IT literacy as required.
- Liaison and Documentation.
- Act as a liaison between technical staff and end-users, interpreting project requirements into actionable technical specifications and system functions.
- Ensure consistent and complete technical documentation, including system design documents, user requirements, testing reports, and operational manuals.
- Support capacity-building efforts by facilitating training workshops and developing instructional materials for both users and IT personnel.
- Education.
- Bachelor s degree in Computer Science, Information Technology, Computer Engineering, ICT, or related field.
- Proficiency in system analysis methodologies, software development life cycle (SDLC), and business process modeling.
- Working knowledge of programming and database technologies (e.g., Java, Python, C++, MySQL, PostgreSQL).
- Familiarity with web technologies, API integration, and system architecture design.
- Basic understanding of network administration and protocols (e.g., TCP/IP, DNS, VPN).
- Knowledge of cybersecurity principles and system performance optimization.
- Experience.
- Minimum 3 years of experience in system analysis, application development, or IT infrastructure support.
- Experience in system documentation, troubleshooting, and user support.
- Prior experience working in a multi-project environment or regional/international development context is an asset.
- Personal Attributes.
- Strong analytical and problem-solving capabilities.
- Excellent interpersonal and communication skills.
- High attention to detail, initiative, and a commitment to quality.
- Ability to work independently and collaboratively in a fast-paced setting.
- RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- A Master s degree in Climatology, Meteorology, Atmospheric Science, Environmental Science, or a related field with a minimum of five (5) years of relevant professional experience in climatology or related areas is required.
- A Ph.D. in a related field may be considered in lieu of some experience, provided the candidate demonstrates strong applied expertise relevant to the position.
- Strong understanding of climate variability and weather-related hazards, including extreme rainfall, droughts, heatwaves, tropical cyclones, and severe storms, particul ...
- Proficiency in climate modeling, data processing, and visualization using R, Python, MATLAB, GIS, or other relevant statistical and geospatial tools.
- Familiarity with global and regional forecasting systems and platforms (e.g., ECMWF, CFS, GFS, WRF, RegCM), and experience working with climate datasets such as ERA5, CMIP6, CHIRPS, and CRU.
- Advanced understanding of seasonal and sub-seasonal prediction systems and their application in risk-informed planning and decision-making.
- Knowledge of climate risk assessment, disaster risk reduction (DRR), early warning systems (EWS), and climate change adaptation (CCA) concepts and planning frameworks.
- Demonstrated ability to generate and translate climate information into impact-based forecasts and advisory products relevant to agriculture, water resources, health, and disaster risk management.
- Experience in statistical downscaling, bias correction, and real-time error correction methods, including application of machine learning techniques.
- Proficiency in geospatial analysis, remote sensing data applications, and integration of spatial datasets into climate assessments.
- Strong analytical, diagnostic, and systems-level problem-solving skills.
- Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
- Excellent communication and technical writing skills, including the development of scientific reports, policy briefs, proposals, training materials, and donor reporting.
- Strong stakeholder engagement and representation skills, and demonstrated ability to work effectively in cross-disciplinary, multicultural, and multi-stakeholder environments.
- Capacity to manage multiple assignments under tight deadlines while maintaining attention to detail and quality.
- Experience.
- A minimum of five (5) years of professional experience in operational climate forecasting, climate modeling, and climate data analysis.
- Experience collaborating with national meteorological and hydrological services, regional climate centers, governmental agencies, and/or international organizations.
- Demonstrated experience in developing climate products and integrating climate information into early warning systems or decision-support tools for climate-sensitive sectors such as agriculture, water resources, health, and disaster preparedness.
- Experience working with climate systems and hazard contexts in Southeast Asia and/or South Asia.
- Personal Attributes.
- Strategic thinker with strong analytical and solution-oriented capabilities in applied climate science.
- Self-driven and capable of working independently while maintaining accountability and initiative.
- Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
- Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
- Professional, respectful, and proactive in both independent and team-based work settings.
- Major Duties and Responsibilities.
- Lead the development and delivery of climate-related products and services under the Decision Support System (DSS), including seasonal and sub-seasonal forecasts, bulletins, and outlooks.
- Design scalable climate analysis tools and frameworks for integration into RIMES DSS across countries and projects.
- Analyze historical and real-time climate data to identify trends, anomalies, thresholds, and risks.
- Manage and apply climate datasets, assimilation data, and remote sensing for climate analysis and risk assessment.
- Develop and implement bias correction and error adjustment methods, including statistical and machine learning techniques, to enhance forecast accuracy.
- Integrate climate information into sector-specific early warning systems and planning processes across agriculture, water, health, and disaster risk management.
- Provide technical support and capacity strengthening to national and regional partners on climate data analysis, modeling, and application.
- Design and conduct trainings, workshops, and technical mentoring; produce manuals, guidance notes, and documentation to ensure sustainability and knowledge transfer.
- Collaborate across RIMES thematic teams to develop integrated, impact-based climate advisories and contribute to cross-sectoral resilience programming.
- Represent RIMES in technical forums, support resource mobilization, and maintain active engagement with meteorological agencies, donors, and development partners.
- Contribute to the design, testing, and documentation of forecasting tools and services, as well as to the preparation of reports, proposals, and related documentation.
- Perform other duties as assigned to support RIMES climate-related programs and institutional objectives.
- Contract Duration.
- The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Git, Python, R, TensorFlow, GIS, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- A Bachelor s degree in Data Science, Computer Science, Geoinformatics, Statistics, Earth Sciences, or a related field, with a minimum of five (5) years of relevant professional experience in data science, preferably in geospatial or geophysical applications;.
- A Master s degree in related field with at least three (3) years of relevant experience.
- Strong proficiency in Python or R, with experience using data analytics libraries (e ...
- Solid understanding of machine learning concepts, time-series analysis, and statistical modeling.
- Familiarity with geospatial data formats (e.g., NetCDF, GRIB, GeoTIFF) and GIS tools is a plus.
- Familiarity with global and regional forecasting systems and platforms and experience working with climate datasets.
- Strong analytical, diagnostic, and systems-level problem-solving skills.
- Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
- Ability to document technical work and communicate findings clearly with the project team.
- Capacity to manage multiple assignments under tight deadlines and work effectively in a cross-disciplinary, multicultural team environment.
- Minimum 3 years of experience in data science, preferably in geospatial or geophysical applications.
- Experience working with scientific computing and version control systems (e.g., Git).
- Personal Qualities.
- Conscientious and efficient in meeting commitments, observing deadlines, and achieving results.
- Self-driven and capable of working independently while maintaining accountability and initiative.
- Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
- Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
- Professional, respectful, and proactive in both independent and team-based work settings.
- Major Duties and Responsibilities.
- Collect, organize, and maintain large-scale structured and unstructured datasets from seismic, oceanographic, observational sources, and historical records.
- Contribute to the design and development of the tsunami scenario database, including data indexing, tagging, and retrieval functionality.
- Conduct exploratory data analysis (EDA) to identify trends, anomalies, and features relevant to support scenario-based modeling.
- Model Development.
- Collaborate with system architects and software developers to integrate data science models into the PRECISE platform.
- Develop probabilistic models to quantify uncertainty in tsunami impact forecasts, including scenario-based risk assessments and ensemble modeling techniques.
- Develop statistical and ML models to identify patterns, anomalies, and predictive signals for tsunami generation and propagation.
- Evaluate model performance and implement optimization strategies to improve prediction accuracy and computational efficiency.
- Document data sources, methodologies, models, and workflows to ensure reproducibility and transparency.
- Provide technical recommendations for future AI/ML tool integration based on findings and emerging trends.
- Other tasks.
- Support the development of visualization tools and dashboards for real-time data interpretation and communication with end users.
- Collaborate with cross-functional teams including researchers, domain experts, and developers to ensure effective system design and integration.
- Provide technical support and documentation, including system manuals, deployment instructions, and maintenance guidelines.
- Perform other duties as may be required by the Project Lead.
- Contract Duration.
- The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews..
- RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 , āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We truly believe in providing radical service for raving fans, that means customer service that goes beyond fulfilling basic needs or expectations..
- Understand our products inside out and through genuine conversations, you are able to recommend products to support what our community is looking for..
- Understand and execute the daily technical operations of the store such as POS (point of sale) management, inventory stocktake, stock management, and upholding visual merchandising standards..
- Can communicate in English would be a plus!.
- A friendly and outgoing disposition, we love a team player!.
- Proactiveness and an ability to think smart on one s feet..
- Pressure won t get the best of them! A calm composure when put in challenging situations is a great character trait we look out for..
- CentralWorld.
- Central Pinklao.
- Mega Bangna.
- Available to work a minimum of 2 weekdays, 2 weekends (at least 32 hours)..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
C++
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ35,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ, āļĄāļĩāļāđāļēāļāļāļĄāļĄāļīāļāļāļąāđāļ
- āđāļāļĩāļĒāļāđāļāļĢāđāļāļĢāļĄāļŦāļĢāļ·āļāļŠāļāļĢāļīāļāļāđāđāļāļ·āđāļāļāļąāļāļāļēāļĢāļ°āļāļ Automation āļŠāļģāļŦāļĢāļąāļāļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļŦāļĢāļ·āļāļĢāļ°āļāļāđāļāļĢāļ.
- āļĢāđāļ§āļĄāļāļāļāđāļāļ Prototype āļŦāļĢāļ·āļ Workflow āļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄāļāļĩāđāļāļĢāļķāļāļĐāļē.
- āļāļāļĨāļāļāđāļāļ·āđāļāļĄāļāđāļāļĢāļ°āļāļāļāļąāļāđāļāļĨāļāļāļāļĢāđāļĄāļ āļēāļĒāļāļāļ āđāļāđāļ Trading Platform (API), Strategy Tester.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļēāļāļĢāļ°āļāļāļāļĩāđāļāļąāļāļāļē āļāļĢāđāļāļĄāļāļĢāļąāļāļāļĢāļļāļāļāļēāļĄāļāļĨāļĨāļąāļāļāđāļāļĩāđāđāļāđ.
- āļāļģāļāļēāļāđāļāđāļāļĢāļāļāļēāļĢāđāļāļāļēāļ°āļāļēāļāļāļĩāđāđāļāđāļāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒāđāļĨāļ°āđāļāđāļāļŠāđāļ§āļāļāļąāļ§ (āđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļĨāļđāļāļāđāļēāļ āļēāļĒāļāļāļ).
- āļĄāļĩāļāļ·āđāļāļāļēāļāļāļēāļĢāđāļāļĩāļĒāļāđāļāļĢāđāļāļĢāļĄ āđāļāđāļ Python / JavaScript āļŦāļĢāļ·āļāļŠāļēāļĒ Logic-based Tools.
- āļŦāļēāļāđāļāļĒāđāļāļĩāļĒāļāļĢāļ°āļāļāļŦāļĢāļ·āļāļŠāļāļĢāļīāļāļāđāđāļ TradingView / MT4/MT5 / fxDreema āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļāđāļāļāđāļēāļāļāļēāļĢāļ§āļēāļāļĢāļ°āļāļāļāļąāļāđāļāļĄāļąāļāļī, āļāļēāļĢāđāļāļīāļ, āļŦāļĢāļ·āļāļāļēāļāļāļĩāđāđāļāđ Data āļāđāļ§āļĒāļāļąāļāļŠāļīāļāđāļ.
- āđāļāļīāļāļĢāļąāļāļāļĩāļāđāļāļ āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļ āđāļĨāļ°āļāļĢāđāļāļĄāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄ.
- āđāļāđāļēāđāļāļāļēāļĢāļĢāļąāļāļĐāļēāļāļ§āļēāļĄāļĨāļąāļāļāļāļāļāđāļāļĄāļđāļĨ.
- āļāļļāļāđāļāđāļāļāļāļāļāļēāļ.
- āđāļāđāļāđāļāļĢāđāļāļāļāđāļāļīāđāļĻāļĐāļ āļēāļĒāđāļ āļāļĩāđāļĄāļĩāļāļļāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāđāļĨāļ°āļāļąāļāļāļēāļāļąāļāļĐāļ°āļāļĢāļīāļ.
- āđāļāđāđāļĢāļĩāļĒāļāļĢāļđāđāļāļēāļĢāļ§āļēāļāļĢāļ°āļāļāđāļāđāļĨāļāļāļāļāļāļēāļĢāđāļāļĢāļ āļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ° Data-driven strategy.
- āļĄāļĩāđāļāļāļēāļŠāđāļĢāļĩāļĒāļāļĢāļđāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāļāļēāļ°āļāļēāļ āđāļāđāļ TradingView, fxDreema, Backtest Tools.
- āđāļāđāđāļāļĢāđāļāļ§āļēāļĄāļĢāļđāđāļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄāļāļĩāđāļāļģāļāļēāļāļāļąāđāļāļāđāļēāļ AI, Strategy āđāļĨāļ° Programming.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļĢāļāļāļāđāļāđāļāļŠāļīāļāļāđāļē āļ āļāđāļēāđāļĢāļ·āļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļŠāđāļāļĄāļāļāļāļīāđāļāđāļĄāđāļŠāļąāļāđāļĨāļ°āļāļĩāļ§āļĄāļ§āļĨāļŠāđāļāļāļāļāđāļāļāđāļēāļāļāļĢāļ°āđāļāļĻāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒ.
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļēāļĢāļāļāļŠāđāļāđāļĨāļ°āļāļāļāđāļēāļĒāļŠāļīāļāļāđāļēāļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļĨāļđāļāļāđāļēāļāļąāđāļāđāļāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ.
- āļĢāļēāļĒāļāļēāļāļāļļāļāļ āļēāļāļŠāļīāļāļāđāļēāđāļŦāđāļāļĢāļāļāļēāļĄāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļĨāļđāļāļāđāļē.
- āļĢāļēāļĒāļāļēāļāļāļĢāļīāļĄāļēāļāļŠāļīāļāļāđāļēāļāļāļāļĨāļąāļāđāļĨāļ°āļāļąāļāļĢāļēāļāļēāļĢāļŠāļđāļāđāļŠāļĩāļĒ (Loss) āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāđāļāļāļāļēāļāđāļĨāļ°āļĄāļēāļāļĢāļāļēāļāļāļĩāđāļāļģāļŦāļāļ.
- Qualifications: āļāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļē Logistics, āļāļēāļāļīāļāļĒāđāļāļēāļ§āļĩ, āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļāļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ (GPA > 2.70).
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļĢāļ°āļāļąāļāļāļĩ (TOEIC > 550).
- āļĒāļīāļāļāļĩāļĢāļąāļāđāļāđāļāļāļāđāļŦāļĄāđāđāļĨāļ°āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļāļāđāļēāđāļĢāļ·āļāļŦāļĢāļ·āļāļāļĨāļąāļāļŠāļīāļāļāđāļēāļŠāđāļāļāļāļāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļāđāļĨāļ°āļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ āļĄāļĩāļāļ§āļēāļĄāļāļĨāđāļēāđāļŠāļāļāļāļāļ āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāđāļāđāļāļāļđāđāļāļģ.
- āđāļāđāļāļēāļāđāļāļĢāđāļāļĢāļĄ MS Office āđāļāđāļāļĩ.
- āļĄāļĩāđāļāļāļąāļāļāļĩāđāļĢāļāļĒāļāļāđāđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāļīāļāļāļēāļāđāļāļāđāļēāļāļāļąāļāļŦāļ§āļąāļāđāļāđ.
- āļŠāļēāļĄāļēāļĢāļāļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāļāļģāđāļ āļāļĻāļĢāļĩāļĢāļēāļāļē āļāļąāļāļŦāļ§āļąāļāļāļĨāļāļļāļĢāļĩāđāļāđ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ18,000 - āļŋ25,000
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļ āļēāļĒāđāļāļāļāļāđāļāļĢāđāļĨāļ°āļāļēāļāļ āļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ (āļĨāļđāļāļāđāļē).
- āļāđāļ§āļĒāļāļđāđāļĨāļāđāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ āđāļāđāļ āļāļēāļĢāļĢāļąāļāđāļāđāļ āļ§āļēāļāļāļīāļĨ āđāļĨāļ°āļāđāļēāđāļāđāļāđāļēāļĒāļāđāļēāļāļ āļēāļĒāđāļāļāļĢāļīāļĐāļąāļ āļāļēāļĄāļĢāļāļāļāļēāļĢāļāļģāļĢāļ°āđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļąāļāļāļģāđāļāļāļģāļāļąāļāļ āļēāļĐāļĩ āđāļāđāļŠāļĢāđāļāļĢāļąāļāđāļāļīāļ āđāļāđāļāđāļāļŦāļāļĩāđ āđāļāļ§āļēāļāļāļīāļĨ āđāļĨāļ°āļāļģāđāļāļāļŠāļēāļĢāļāđāļēāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļīāļāļāļēāļĄāđāļāđāļŠāļĢāđāļāļĢāļąāļāđāļāļīāļāļāļĩāđāļāļģāļĢāļ°āđāļĨāđāļ§āđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļĢāļ°āļāļāļāļāļ·āđāļāđāđāļŦāđāļāļĢāļāļāđāļ§āļ.
- āļāļąāļāđāļāļĢāļĩāļĒāļĄāđāļāļāļŠāļēāļĢāļāļģāļŠāđāļāļŠāļģāļāļąāļāļāļēāļāļāļąāļāļāļĩāļāļĩāđāļāļđāđāļĨāđāļŦāđāđāļĢāļĩāļĒāļāļĢāđāļāļĒāļāļĢāļāļāđāļ§āļ.
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđ āļāļ§āļēāļĄāđāļāđāļēāđāļ āđāļāļāļąāđāļāļāļāļāļāđāļēāļāļāļąāļāļāļĩāđāļāļ·āđāļāļāļāđāļ.
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- āđāļāļīāļāđāļāļāļąāļŠāļāļēāļĄāļāļĨāļāļēāļ.
- āļāļĢāļ°āļāļąāļāļŠāļąāļāļāļĄ.
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