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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.
āļāļąāļāļĐāļ°:
Google Ads, Google Analytics, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bášąng cáŧ nhÃĒn hoáš·c kinh nghiáŧm tháŧąc tášŋ tÆ°ÆĄng ÄÆ°ÆĄng.
- 5 nÄm kinh nghiáŧm trong lÄĐnh váŧąc phÃĒn tÃch truyáŧn thÃīng, kinh doanh quášĢng cÃĄo, tiášŋp tháŧ và truyáŧn thÃīng káŧđ thuášt sáŧ, tư vášĨn hoáš·c phÃĒn tÃch tà i chÃnh.
- 1 nÄm kinh nghiáŧm váŧ cÃĄc káŧđ thuášt Äo lưáŧng và phÃĒn báŧ tiášŋp tháŧ (và dáŧĨ: Äo lưáŧng ngoᚥi tuyášŋn, MMM, MTA, phÃĒn báŧ) và cÃĄc sášĢn phášĐm quášĢng cÃĄo cáŧ§a Google (và dáŧĨ: Google Ads, Google Analytics, Google Marketing Platform cÃđng nhiáŧu sášĢn phášĐm khÃĄc).
- 1 nÄm kinh nghiáŧm là m viáŧc tráŧąc tiášŋp váŧi khÃĄch hà ng, cÃģ thà nh tÃch náŧi bášt trong viáŧc tᚥo ášĢnh hưáŧng Äášŋn nhiáŧu cášĨp bášc.
- CÃģ kiášŋn tháŧĐc váŧ SQL, cÆĄ sáŧ dáŧŊ liáŧu và cÃĄc káŧđ thuášt táŧą Äáŧng hoÃĄ cÆĄ bášĢn (và dáŧĨ: trang táŧng quan, táŧą Äáŧng hoÃĄ bÃĄo cÃĄo tuáŧģ cháŧnh, vášt chášĨt hoÃĄ cÃĄc bášĢng).
- KhášĢ nÄng phÃĒn tÃch cÃĄc tášp dáŧŊ liáŧu, táŧŦ ÄÃģ rÚt ra thÃīng tin cÃģ giÃĄ tráŧ.
- Káŧđ nÄng giao tiášŋp xuášĨt sášŊc, cÃģ tháŧ truyáŧn tášĢi thÃīng Äiáŧp ÄÆĄn giášĢn Äášŋn nhiáŧu Äáŧi tưáŧĢng áŧ máŧi cášĨp bášc.
- áŧ vai trÃē nà y, bᚥn sáš― là máŧt cáŧ vášĨn và chuyÊn gia tư vášĨn ÄÃĄng tin cášy, pháŧi háŧĢp váŧi cášĢ cÃĄc nhÃģm náŧi báŧ lášŦn khÃĄch hà ng bÊn ngoà i Äáŧ xÃĒy dáŧąng và triáŧn khai cÃĄc chiášŋn lưáŧĢc. Bᚥn sáš― khai thÃĄc dáŧŊ liáŧu và cÃīng ngháŧ cáŧ§a Google Äáŧ cung cášĨp thÃīng tin chuyÊn sÃĒu giÚp cášĢi thiáŧn hoᚥt Äáŧng quášĢng cÃĄo và thÚc ÄášĐy kášŋt quášĢ kinh doanh.
- CÃĄc nhÃģm thuáŧc Kháŧi KhÃĄch hà ng chiášŋn lưáŧĢc (LCS) cáŧ§a Google là Äáŧi tÃĄc chiášŋn lưáŧĢc vÃ
- chuyÊn gia dášŦn Äáš§u ngà nh cho cÃĄc thÆ°ÆĄng hiáŧu và cÃīng ty quášĢng cÃĄo hà ng Äáš§u thášŋ giáŧi. ChÚng tÃīi khÃīng ngáŧŦng khuyášŋn khÃch khÃĄch hà ng nhÃŽn nhášn lᚥi hoᚥt Äáŧng kinh doanh cáŧ§a háŧ và khÃĄm phÃĄ nháŧŊng cÃĄch
- Google cÃģ tháŧ háŧ tráŧĢ háŧ tÄng trưáŧng. ChÚng tÃīi tášp trung và o viáŧc giÚp cÃĄc khÃĄch hà ng nà y thÃch áŧĐng váŧi nháŧŊng thay Äáŧi láŧn trong ngà nh và thÚc ÄášĐy hiáŧu suášĨt kinh doanh vưáŧĢt tráŧi bášąng cÃĄch cung cášĨp tráŧn báŧ giášĢi phÃĄp quášĢng cÃĄo cáŧ§a Google áŧ máŧĐc giÃĄ cᚥnh tranh trÊn Google TÃŽm kiášŋm, YouTube, Äo lưáŧng, và nhiáŧu náŧn tášĢng khÃĄc. Là máŧt thà nh viÊn cáŧ§a nhÃģm LCS, bᚥn sáš― cÃģ cÆĄ háŧi Äáš·c biáŧt Äáŧ bÃĄn nháŧŊng cÃīng ngháŧ tiÊn tiášŋn nhášĨt, là m viáŧc váŧi cÃĄc quášĢn lÃ― cášĨp cao, tÃĄc Äáŧng Äášŋn cÃĄc chiášŋn lưáŧĢc Äáŧnh hÃŽnh tháŧ trưáŧng và tᚥo ra nháŧŊng kášŋt quášĢ tháŧąc tášŋ, cÃģ ášĢnh hưáŧng ÄÃĄng káŧ Äášŋn cÃĄc doanh nghiáŧp láŧn trÊn toà n cáš§u, cÅĐng như thÚc ÄášĐy sáŧą tÄng trưáŧng cáŧ§a Google.
- Háŧ tráŧĢ và tư vášĨn váŧ chiášŋn lưáŧĢc cáŧ§a khÃĄch hà ng/Äáŧi tÃĄc trong cÃĄc lÄĐnh váŧąc kinh doanh, tiášŋp tháŧ hoáš·c phÃĄt triáŧn sášĢn phášĐm, Äáŧng tháŧi phÃĒn tÃch dáŧŊ liáŧu Äáŧ ÄÆ°a ra cÃĒu trášĢ láŧi cho cÃĄc cÃĒu háŧi cáŧ§a doanh nghiáŧp, hoáš·c tᚥo thÃīng tin chuyÊn sÃĒu giÚp doanh nghiáŧp dáŧ dà ng ÄÆ°a ra quyášŋt Äáŧnh kinh doanh.
- PhÃĄt triáŧn và cháŧu trÃĄch nhiáŧm váŧ mÃī hÃŽnh phÃĒn tÃch cho cÃĄc dáŧą ÃĄn cáŧ§a khÃĄch hà ng/Äáŧi tÃĄc, ÃĄp dáŧĨng hoáš·c tuáŧģ cháŧnh cÃĄc cÃīng cáŧĨ (và dáŧĨ: trang táŧng quan) và khung giášĢi quyášŋt vášĨn Äáŧ nhášąm xÃĄc Äáŧnh cÆĄ háŧi, Äáŧng tháŧi phÃĄt triáŧn cÃĄc giášĢi phÃĄp giÚp táŧi ưu hoÃĄ hoᚥt Äáŧng kinh doanh cáŧ§a khÃĄch hà ng/Äáŧi tÃĄc và táŧi Äa hoÃĄ viáŧc sáŧ dáŧĨng cÃĄc sášĢn phášĐm cáŧ§a Google.
- Pháŧi háŧĢp váŧi cÃĄc nhÃģm bÃĄn hà ng Äáŧ thÚc ÄášĐy tÄng trưáŧng kinh doanh váŧi khÃĄch hà ng/Äáŧi tÃĄc, tiášŋn hà nh phÃĒn tÃch, xÃĄc Äáŧnh cÆĄ háŧi kinh doanh, và giÚp lášp bášĢn thuyášŋt trÃŽnh kinh doanh cÅĐng như tà i liáŧu háŧ tráŧĢ tiášŋp tháŧ pháŧĨc váŧĨ viáŧc tiášŋp cášn tháŧ trưáŧng.
- XÃĒy dáŧąng và quášĢn lÃ― máŧi quan háŧ váŧi cÃĄc bÊn liÊn quan cáŧ§a khÃĄch hà ng/Äáŧi tÃĄc áŧ nhiáŧu phÃēng ban cháŧĐc nÄng và cášĨp bášc, Äáŧng tháŧi pháŧĨ trÃĄch máŧi quan háŧ váŧi cÃĄc bÊn liÊn quan váŧ dáŧŊ liáŧu áŧ phÃa khÃĄch hà ng/Äáŧi tÃĄc.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
āļāļąāļāļĐāļ°:
Marketing Strategy
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļģāļŠāļīāļāļāđāļēāđāļĨāļ°āļāļĢāļīāļāļēāļĢāđāļāđāļāļāļāļāļāļĢāļīāļĐāļąāļāļŊ (Highlight Products/Services) āļĄāļēāļāļĢāļąāļāđāļāđ āđāļāđāļāļāļāļĨāļĒāļļāļāļāđ Local Marketing Strategy.
- āđāļāđ Marketing Communication āļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄ āļāļąāđāļ Offline āđāļĨāļ° Online Media āđāļŦāđāļāļāļāđāļāļāļĒāđāļāļĪāļāļīāļāļĢāļĢāļĄāļāļđāđāļāļĢāļīāđāļ āļ.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļīāļāļāļĢāļĢāļĄāļāļēāļāļāļēāļĢāļāļĨāļēāļāļāļąāđāļāđāļāļĢāļ°āļāļąāļāļāļĨāļĒāļļāļāļāđāđāļĨāļ°āļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļĢ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļ Retail & Wholesale āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļāļŊ.
- āđāļāđāđāļāļāđāļāđāļĨāļĒāļĩ AI āđāļĨāļ° Data Analytics āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ·āđāļāļāļąāļāļāļēāđāļāļāļāļēāļĢāļāļĨāļēāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄāļāļēāļ āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāđāļēāļĒāļāļēāļĢāļāļēāļĒ āļŦāļāđāļ§āļĒāļāļēāļāļŠāđāļ§āļāļāļĨāļēāļāđāļĨāļ°āļāļąāļāļāļĄāļīāļāļĢāđāļāļāļ·āđāļāļāļĩāđ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļēāļāđāļĨāļ°āļāļđāđāđāļāđāļ āļāļĢāđāļāļĄāđāļŠāļāļāđāļāļāđāļāļīāđāļĄāļĒāļāļāļāļēāļĒ āđāļĨāļ°āļŠāđāļ§āļāđāļāđāļāļāļĨāļēāļ.
- āļāļĢāļ°āļāļģāļāļ·āđāļāļāļĩāđ āļ.āļŠāļļāļĢāļēāļĐāļāļĢāđāļāļēāļāļĩ āļāļđāđāļĨāļāļ·āđāļāļāļĩāđ 7 āļāļąāļāļŦāļ§āļąāļāļ āļēāļāđāļāđāļāļāļāļāļ.
- āļāļēāļĒāļļāļĢāļ°āļŦāļ§āđāļēāļ 35 - 40 āļāļĩ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŦāļĢāļ·āļāļŠāļđāļāļāļ§āđāļē āđāļāļŠāļēāļāļēāļāļēāļĢāļāļĨāļēāļ, āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļāļĨāļēāļāļāļĒāđāļēāļāļāđāļāļĒ 5 āļāļĩ āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāđāļāļĢāļāļĄāļāļēāļāļĄ
- āļŦāļĢāļ·āļāļāļļāļĢāļāļīāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļāļēāļĢāļ§āļēāļāđāļāļāļāļĨāļĒāļļāļāļāđāļāļēāļĢāļāļĨāļēāļāđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļāļāļīāļāļąāļāļīāđāļāđāļāļĢāļīāļ.
- āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļĨāļēāļ āđāļĨāļ°āđāļāđ Data āđāļāļāļēāļĢāļ§āļēāļāđāļāļāļāļĨāļĒāļļāļāļāđāđāļāļĢāļ°āļāļąāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļāđāđāļāļāđāļāđāļĨāļĒāļĩ AI āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļĨāļēāļāđāļāļĒāļļāļāļāļīāļāļīāļāļąāļĨ.
- āđāļāļĩāđāļĒāļ§āļāļēāļāļāļēāļĢāļ§āļēāļāđāļāļāļāļēāļĢāļāļĨāļēāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļąāđāļ Offline / Online / On Ground Campaigns..
āļāļąāļāļĐāļ°:
Research, Finance, IC License, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ150,000 - āļŋ180,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead the product lifecycle for a broad range of investment products, from initial concept and planning to launch and ongoing management.
- Conduct in-depth industry research, competitive analysis, and trend forecasting to shape the product strategy.
- Collaborate closely with stakeholders, including the Investment Strategy team, Relationship Managers, and Financial Institution Partners, to identify new product opportunities and review existing investment offerings.
- Manage the comprehensive due diligence and ongoing monitoring of investment products.
- Work with the Training team to oversee the development and delivery of robust training and educational programs on investment products for internal teams.
- Ensure all product documentation and processes are properly maintained and comply with all internal policies and regulatory requirements.
- Bachelor's or Master's degree in Finance, Economics, Business, or a related field.
- 5-8 years of experience in wealth management, asset management, or a related field.
- Direct experience in investment products for 3-5 years is preferred.
- Extensive knowledge of various investment products, including mutual funds, fixed income, structured products, etc.
- Good understanding of SEC regulations governing investment products.
- Proficient in English.
- IC license, Investment Analyst, or other relevant credentials are an advantage.
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
āļāļąāļāļĐāļ°:
Microsoft Office
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Assist audit team with the preparation of financial statements and audit reports.
- Gain exposure to a variety of industries through audit work.
- Become familiar and adhere to the Firm s policies and procedures.
- Student applicants must have completed their junior (3rd year) year prior to the start of the internship.
- Excellent written and verbal communication skills.
- Ability to use Microsoft Office.
- Ability to multi-task and work in a fast-paced environment.
āļāļąāļāļĐāļ°:
Problem Solving
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor Degree of Supply Chain, Logistic, Economic and other relate filed.
- At least 10 years of experience in DC/Warehouse Operation Management.
- At least 5 years of experience in DC/Warehouse Manager.
- Have experience in Warehouse/ Distribution Center business would be advance..
- Good Analytic skills /Problem solving / Decision Maker / Proactive type of interpersonal skills.
- Excellent in MS Excel..
āļāļąāļāļĐāļ°:
Finance, SAS, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor and/or Master Degrees in Computer Science, Information Technology, MIS or related fields.
- Minimum 5 years of working experience in Banking or Financial Institutions.
- Minimum 5 years of working experience in MIS/Business Analysis functions.
- Experience in Consumer Finance products e.g. Credit card, Sale Finance and Personal Loan.
- Good in Database and Data Warehouse Knowledge.
- Strong in programming skill especially SAS, PL/SQL, R, Python.
- Strong in analytic, data visualization, reporting software such as SAS, Tableau, SQL, Business Objects, Cognos and related software.
- Strong comprehensiveness in Microsoft Office such as MS Word, MS Excel, MS Access, and MS PowerPoint.
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- (https://krungsri.com/b/privacynoticeen).
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
- Only shortlisted candidates will be contacted"
- FB: Krungsri Career.
- LINE: Krungsri Career.
āļāļąāļāļĐāļ°:
Publishing, Compliance, Legal
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Provide advice and recommendation to client for sales, onboarding and ongoing basis.
- Onboard new clients and setup related profiles for service readiness Collect, validate and record client instructions from all available channels into system/tool.
- Collect, validate and record market and counter party portfolio data.
- Create and reconcile ledger accounts.
- Maintain financial accounting records of portfolios.
- Identify discrepancies from reconciliation and solve the differences.
- Coordinate with clients or counter parties for exceptional transactions that require their attentions.
- Prepare and confirm Net Asset Valuation as well as unit pricing.
- Security pricing per regulatory and market standard.
- Calculate NAV, distribute unit price to fund managers, publishing houses or regulatory authorities.
- Reconciliation with fund supervisory or custodian statements.
- Reporting to regulatory authorities.
- Determine periodic distributions.
- Setup and prepare reports per SLAs and agreements.
- Provide and support client with necessary data and reports on adhoc requests.
- Prepare monthly standard reporting package which includes Trial Balance, Profit & Loss Account, Balance Sheet, Portfolio Valuation.
- Determine tax liability.
- Work with client appointed entities (e.g. auditor/custodian) to answer and deliver as per client requests.
- Prepare and track Fund Administrative fee (invoice receipt taxes).
- Solve and escalate operational or service issues.
- Coordinate and manages risk and control environment of the service including but not limited to operational risk, compliance and legal aspects.
- Support project team for system development / implement or special assignment.
- Provide support on BAU to colleagues.
- Perform other tasks as assigned.
- 5 years experiences in Securities Service.
- Minimum 3 Years of experience in Fund Administration or Asset Management.
- High technical competencies in computer program and new development of financial knowledge and approach.
- Good understanding of BOT/ SEC/ regulatory guidelines on financial markets and products.
- Good communication and interpersonal skills.
- Pleasant personality and good mannerism.
- Positive attitude towards difficulty with high inspiration.
- Proficient in Excel, PowerPoint and Word applications.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļŠāļēāļāļēāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļĒāļāļē, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļāļāđāļē, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļāļĢāļ·āđāļāļāļāļĨ, āļŠāļāļēāļāļąāļāļĒāļāļĢāļĢāļĄ, āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ, āļāļēāļĢāļāļąāļāļāļĩ, āļāļēāļĢāđāļāļīāļ, āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ, āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļēāļāļēāļĢāļŠāļģāļāļąāļāļāļēāļ (building management) āļāļēāļāļāđāļāļŠāļĢāđāļēāļ āļāļĢāļąāļāļāļĢāļļāļ āļāđāļāļĄāđāļāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļēāļāđāļāļāļāļĨāļīāđāļāļāļąāļ āđāļĨāļ°āđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāđāļāļĢāļāļāļēāļĢāļāļēāļāļāđāļāļŠāļĢāđāļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļāļāļĢāļđāđāđāļāļāļļāļĢāļāļīāļāļāļāļēāļāļēāļĢ āļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢāļŦāļĨāļąāļ.
- āļĄāļĩāļāļ§āļēāļĄāļāļ·āđāļāļŠāļąāļāļĒāđ āļŠāļļāļāļĢāļīāļ āđāļāļĢāđāļāđāļŠ āļĒāļļāļāļīāļāļĢāļĢāļĄ āđāļĨāļ°āļĄāļĩāļāļąāļĻāļāļāļāļīāļāļĩāđāļāļĩāļāđāļāļāļāļāđāļāļĢ.
- āļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩ āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļāļĨ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļļāļāļŠāļĢāļĢāļāļāļąāļāļŦāļē āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļĨāļ°āđāļāđāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđāļāļĩ..
- 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°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°:
Assurance, Software Development, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Able to response all aspects of testing and owning the quality of application release through software development life cycle (SDLC) or agile method to reduce future operation cost of application by automation testing technique.
- To cooperate in the enhancement of the methodologies employed for test strategy defining, test planning and execution, defect tracking, and metric and status reporting.
- To interact with stakeholders to plan testing for delivery of products and enhancements and to assure products meet product requirements and quality standards.
- To be a part of solution delivery team to plan and execute automated for functional and non-functional tests.
- To report issues and results, researching and identifying root causes as appropriate, documenting accordingly.
- To ensure that testing addresses requirements as agreed with other stakeholders.
- To identify opportunities to apply existing automation or other tools to meet testing needs.
- To work across teams as a coach to enhance quality assurance/testing and help to develop/execute performance and automation testing throughout the business as appropriate.
- Bachelor s degree/Master s degree in Computer Science, Computer Engineering, Technology Management or related fields.
- Minimum 3-5 years of experiences in automated tester role.
- Strong knowledge in Continuous Integration (CI) and Continuous Development (CD).
- Strong knowledge in QA methodologies, of the software development process.
- Basic knowledge in financial services industry.
- Knowledge software automate testing.
- Prior experience in preparing test plan / test case / Test script is a must.
- Good strategic thinking, analytical skill in interpreting functional requirements and design documents to develop appropriate test plan.
- Test automation tool; Robot Framework, SOAPUI, Cucumber, Gherkin, Ruby, Selenium, etc.
- Understanding of the basic financial, business model and processes.
- Strong analytical and problem - solving skills.
- Problem solving skill.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļĢāļāļĢāļąāļ-āļŠāđāļāļāļāļąāļāļāļēāļāđāļāļ·āđāļāļāļīāļāļāđāļāļāļēāļāļāđāļēāļ āđ āđāļāļāļĢāļļāļāđāļāļāđāļĨāļ°āļāļĢāļīāļĄāļāļāļĨ.
- āļāļđāđāļĨāļĢāļāļĒāļāļāđāđāļŦāđāļāļĢāđāļāļĄāđāļāđāļāļēāļāļāļĒāļđāđāđāļŠāļĄāļ.
- āļāļēāļāļāļ·āđāļāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļāļāļ§āļļāļāļī āļ.6 āļāļķāđāļāđāļ.
- āļŠāļēāļĄāļēāļĢāļāļāļąāļāļāļĩāđāļĢāļāļĒāļāļāđāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāđāđāļĨāļ°āļĄāļĩāđāļāļāļąāļāļāļĩāđāļŠāđāļ§āļāļāļļāļāļāļĨ (āļŦāļēāļāļĄāļĩ āļ.2 āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļāļļāļāļāļĨāļīāļāļ āļēāļāļāļĩ āļĄāļĩāđāļāļĢāļąāļāļāļēāļāļāļĢāļīāļāļēāļĢ.
- āļĄāļĩāđāļāļīāļāđāļāļ·āļāļāļāļĢāļ°āļāļģ āđāļāļĩāđāļĒāđāļĨāļĩāđāļĒāļāļāļāļīāļāļąāļāļīāļāļēāļ āđāļĨāļ°āļŠāļ§āļąāļŠāļāļīāļāļēāļĢāđāļŦāđ.
- āļŠāļēāļĄāļēāļĢāļāļāļīāļāļāđāļāđāļāđāļēāļĄāļēāļŠāļąāļĄāļ āļēāļĐāļāđ āđāļāđāļāļĩāđ āļāļĄāļ.āļŠāļŦāļāļąāļāļāļāļīāļāļđāļĨ (āļŠāļģāļāļąāļāļāļēāļāđāļŦāļāđ).
- āđāļāđāļāļąāđāļāđāļāđāļ§āļąāļāđāļ§āļĨāļēāļāļģāļāļēāļĢāļāļąāļāļāļĢāđ - āļĻāļļāļāļĢāđ āđāļ§āļĨāļē 8.00 āļ. - 17.00 āļ..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Adobe Illustrator, Adobe Photoshop, Video Editing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ28,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļāļāđāļāļāļāļēāļāļāļĢāļēāļāļīāļāđāļĨāļ°āļāļĨāļīāļāļ āļąāļāļāđāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļ āļēāļāļĨāļąāļāļĐāļāđāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļąāļāļāđāļāļ āļēāļāļāļīāđāļāđāļĨāļ°āļ§āļīāļāļĩāđāļāļŠāļģāļŦāļĢāļąāļāđāļāļĒāđāļāļĢāđāļāļāļŠāļ·āđāļāđāļāđāļāļĩāļĒāļĨāļāđāļēāļ āđ.
- āļāļđāđāļĨāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāđāļ§āđāļāđāļāļāđ, Facebook āđāļĨāļ°āļāđāļāļāļāļēāļāđāļāđāļāļĩāļĒāļĨāļĄāļĩāđāļāļĩāļĒāļāļ·āđāļ āđ.
- āļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āđāļāļĩāđāļĒāļ§āļāļēāļ Adobe Photoshop āđāļĨāļ° Adobe Illustrator.
- āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļāļāđāļāļāđāļŦāđāļāļĢāļāļāļēāļĄāđāļāļ§āļāļēāļāļāļāļāđāļāļĢāļāļāđ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļŠāļ·āđāļāđāļāđāļāļĩāļĒāļĨ āđāļĨāļ°āļŠāļĢāđāļēāļāļāļāļāđāļāļāļāđāļāļĩāđāļāļķāļāļāļđāļāļāļĨāļļāđāļĄāđāļāđāļēāļŦāļĄāļēāļĒ.
- āļāļĢāļ°āļāļąāļāļŠāļąāļāļāļĄ.
- āļ§āļąāļāļŦāļĒāļļāļāļāļĢāļ°āļāļģāļāļĩ.
- āļāļĢāļīāļāļāđāļāļāđāļāļĩāđāļĒāļ§āļāļĢāļ°āļāļģāļāļĩ.
- āļāđāļēāļāļģāļāļēāļāļĨāđāļ§āļāđāļ§āļĨāļē.
- āđāļāļāļąāļŠāļāļēāļĄāļāļĨāļāļēāļ (āļāļēāļĢāļĩāļāļāļĩ 1 āđāļāļ·āļāļ āđāļĄāļ·āđāļāļāļģāļāļēāļāļāļĢāļ 1 āļāļĩ).
- āļāļāļāļąāļāļāļēāđāļĨāļ°āļŠāļļāļāļ āļēāļ 20,000 āļāļēāļ (āđāļĄāļ·āđāļāļāļģāļāļēāļāļāļĢāļ 2 āļāļĩ).
- āļāļĢāļ°āļāļąāļāļŠāļļāļāļ āļēāļāđāļĨāļ°āļāļļāļāļąāļāļīāđāļŦāļāļļ (āđāļĄāļ·āđāļāļāļģāļāļēāļāļāļĢāļ 3 āļāļĩ āļŦāļĢāļ·āļāđāļāđāļ Senior āļāļķāđāļāđāļ).
- āļāļĢāļīāļāļāđāļāļāđāļāļĩāđāļĒāļ§āļāđāļēāļāļāļĢāļ°āđāļāļĻ āļāļĢāļāļĩāļĒāļāļāļāļēāļĒ āļāļĢāļ°āļāļģāļāļĩāļāļĩāđāļāļģāļŦāļāļāļāļķāļāđāļāđāļē āļāđāļēāļāđāļāļĢāļāļĢāļķāđāļāļāļĩāđāļĢāļ.
- āļāļāļĢāļ§āļĄāļāļāļąāļāļāļēāļ āļāļāļĄāđāļĨāļ°āļāđāļģāļŠāđāļ§āļāļāļĨāļēāļ 5,000 āļāļēāļ āļāđāļāđāļāļ·āļāļ.
- AI Ratchaphruek (āļāļąāļĒāļĒāđ āļĢāļēāļāļāļĪāļāļĐāđ) 145/21 āļāļāļāļāļĨāļēāļĒāļāļēāļ āļĄāļŦāļēāļŠāļ§āļąāļŠāļāļīāđ āļāļģāđāļ āļāļāļēāļāļāļĢāļ§āļĒ āļāļāļāļāļļāļĢāļĩ 11130.
- āđāļ§āļĨāļēāļāļēāļ āļāļąāļāļāļĢāđ-āļĻāļļāļāļĢāđ 9.00-18.00 āļ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Mandarin
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ25,000 - āļŋ40,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āđāļĄāđāļāļģāļāļąāļāđāļāļĻ āļāļēāļĒāļļ23-35 āļāļĩ.
- āļāļāļāļĢāļīāļāļāļēāļāļĢāļĩ-āļāļĢāļīāļāļāļēāđāļāļ āļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 0 - 3 āļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāļ āļēāļĐāļēāļāļĩāļ āļāļąāļ āļāļđāļ āļāđāļēāļ āđāļāļĩāļĒāļ āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ (āļĢāļ°āļāļąāļ HSK āđāļĄāđāļāđāļģāļāļ§āđāļē 4 - 5).
- āļāļđāđāļĨāđāļĨāļ°āļĢāļąāļāļĐāļēāļāļ§āļēāļĄāļŠāļąāļĄāļāļąāļāļāđāļāļąāļāļĨāļđāļāļāđāļēāđāļāđāļē.
- āļāđāļāļŦāļēāļĨāļđāļāļāđāļē(āļāļĩāļ, āļāđāļēāļāļāļĢāļ°āđāļāļĻ)āļĢāļēāļĒāđāļŦāļĄāđāđ.
- āļāļīāļāļāđāļ āļāļīāļāļāļēāļĄ āđāļĨāļ°āđāļŠāļāļāļāļēāļĒāļŠāļīāļāļāđāļēāđāļŦāđāļĨāļđāļāļāđāļē.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāđāļāļāļāļāđāļēāļāđ āđāļĨāļ°āđāļāđāļāļąāļāļŦāļēāļāđāļēāļāđāđāļāļ·āđāļāđāļŦāđāļāļēāļāļŠāļģāđāļĢāđāļāļĨāļļāļĨāđāļ§āļāļāđāļ§āļĒāļāļĩ.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢāļāđāļēāļāđ āļĢāļ§āļĄāļāļąāđāļāđāļāļāļŠāļēāļĢāļāđāļēāļāļāļēāļĢāļŠāđāļāļāļāļ.
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:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ22,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ, āļĄāļĩāļāđāļēāļāļāļĄāļĄāļīāļāļāļąāđāļ
- āļāļģāđāļŠāļāļāļāļēāļĒāļāļĨāļīāļāļ āļąāļāļāđāļāļāļāļāļĢāļīāļĐāļąāļāļāļąāļāļĨāļđāļāļāđāļēāļāļĨāļļāđāļĄāļāļđāđāļĢāļąāļāđāļŦāļĄāļē āđāļĢāļāļāļēāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ āđāļāđāļēāļāļāļāđāļāļĢāļāļāļēāļĢ āļŠāļīāļāļāđāļē āđāļāđāļ āļāđāļāļĢāđāļāļĒāļŠāļēāļĒāđāļāļāđāļē āļĢāļēāļāļ§āļēāļāļŠāļēāļĒāđāļāļāđāļē āļāđāļāļāđāļģāļāļĩ/āļāđāļģāđāļŠāļĩāļĒ FRP Tank āđāļāđāļāļāđāļ.
- āļ§āļēāļāđāļāļāļāļēāļĢāļāļēāļĒ āļāļģāļĒāļāļāļāļēāļĒāđāļŦāđāđāļāđāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒāļāļĩāđāļāļģāļŦāļāļ.
- āļ§āļēāļāđāļāļāļāļēāļĢāļŦāļēāļĨāļđāļāļāđāļēāļĢāļēāļĒāđāļŦāļĄāđ āļāļģāļŦāļāļāđāļāļ§āļāļēāļāļāļēāļĢāļāļđāđāļĨāļĨāļđāļāļāđāļēāļĢāļēāļĒāđāļāđāļēāđāļāļ·āđāļāļĢāļąāļāļĐāļēāļāļēāļāļĨāļđāļāļāđāļē āļāļĢāđāļāļĄāļāļąāđāļāļŠāļĢāđāļēāļāļŠāļąāļĄāļāļąāļāļāļ āļēāļāļāļĩāđāļāļĩāļāļąāļāļĨāļđāļāļāđāļēāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļĢāļāļēāļĒ āļŠāļĢāļļāļāļāļąāļāļŦāļē āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāđāļĨāļ°āļĢāđāļ§āļĄāļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļāļēāļĢāļāļąāļāļāļēāļāļĨāļĒāļļāļĄāļāđāļāđāļēāļāļāļēāļĢāļāļēāļĒ.
- āļĄāļĩāļāļ§āļēāļĄāļāļĢāļ°āļāļ·āļāļĢāļ·āļāļĢāđāļ āļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļāđāļāļāļēāļĢāļāļģāļāļēāļ āļāļāļāļāļēāļāļāđāļēāļāļēāļĒāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļ āđāļĄāđāļāļāļāļŦāļĒāļļāļāļāļĒāļđāđāļāļąāļāļāļĩāđ.
- āļĄāļĩāļāļ§āļēāļĄāļāļāļāļ āļāļĒāļąāļāļāļģāļāļēāļ āļĢāļąāļāļāļēāļāļĩāļ āļāļąāļāļāļēāļĒ āļāļĢāđāļāļĄāļāļąāļāļāļēāļāļāđāļāļ.
- āļĄāļĩāļāļļāļāļĨāļīāļāļ āļēāļāļāļĩ āļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩ āļŠāļēāļĄāļēāļĢāļāđāļāļĢāļāļēāļāđāļāļĢāļāļāđāļāđ.
- āļĄāļĩāļĢāļāļĒāļāļāđāļŠāļģāļŦāļĢāļąāļāđāļāđāđāļāļāļēāļĢāļāļģāļāļēāļ āđāļĨāļ°āļĄāļĩāđāļāļāļāļļāļāļēāļāļāļąāļāļāļĩāđāļĢāļāļĒāļāļāđāļŠāđāļ§āļāļāļļāļāļāļĨ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Accounting, Legal, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Accounting, Tax& Treasury.
- Controlling& Pricing.
- Legal.
- Risk Contracting.
- What you doProviding leadership, direction and management of the finance team and support functions.
- Providing strategic recommendations to the heads of pillar / country leader and the local members of the executive management team.
- Managing all closing relevant processes and ensure proper cash management.
- Root cause analysis of Revenue, operating costs and EBIT variances to plan and projections.
- Supervising the processes for financial planning and forecasting, and overseeing the preparation of all financial reporting.
- Advising on long-term business and financial planning as well as service and project pricing.
- Establishing and developing relations with senior management and external (Allianz OEs) partners and stakeholders.
- Reviewing all formal finance, HR and IT related procedure for all direct reports.
- Representation of the entity in front of external stakeholder (e.g. auditors, authorities, etc.).
- What you bringBachelor's degree or higher in Finance and Accounting.
- 15+ years of experience spread between controllership, advisory and consulting. Shared services, Offshoring, Tax, accounting and risk and compliance advisory services.
- Have relevant technical knowledge and experience to envision, develop and implement the key processes and policies across the company and in particular finance and support functions.
- Have skills and capabilities for providing strategic advice to the management and the shareholder of the company.
- Experience of working in diverse functionalities and organisation to gather best practices.
- Effective communication skills to satisfactorily communicate and satisfy the requirement of stakeholders at different levels.
- Experience and knowledge of developing, supporting and implementing plan and budgets.
- Excellent knowledge of local and relevant legal and contractual obligations.
- Good understanding of the business needs from a finance and support functions perspective.
- What we offerWe offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration.
- We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
- From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
- Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.
- 68837 | Finance& Accounting | Management | Non-Executive | Allianz Technology | Full-Time | Permanent
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)..
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- 2377
āļŦāļēāļāļēāļāļāđāļēāļ WorkVenture āđāļāđāļāļĒāđāļēāļāđāļĢ?
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āļŦāļēāļāļēāļāđāļĨāļ°āļāļēāļāļāļĢāļ°āļ§āļąāļāļīāđāļ§āđāļāļąāļāđāļĢāļē
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āļĄāļĩāļāļģāđāļāļ°āļāļģāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļŦāļēāļāļēāļāļāļ·āđāļāđāļāļīāđāļĄāđāļāļīāļĄ?
āđāļāđāļāļāļ! āļāļāļāļāļēāļāļĢāļ°āļāļāļāļēāļĢāļŦāļēāļāļēāļāļāļĩāđāļāļąāļāļŠāļĄāļąāļĒ āđāļĢāļēāļĒāļąāļāļĄāļĩāļāļĨāđāļāļāđāļŦāđāļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĩāđāļĢāļ§āļĄāđāļāļēāļāļģāđāļāļ°āļāļģāđāļāđāļāđ āļāļąāđāļ āļāļēāļĢāļŠāļąāļĄāļ āļēāļĐāļāđāļāļēāļ āđāļāļāļāļīāļāļāļēāļĢāļŦāļēāļāļēāļ āļāļēāļĢāļŦāļēāļāļāļāđāļāļāļāļąāđāļ āļāļēāļĢāļāđāļāļĢāļāļāđāļāļīāļāđāļāļ·āļāļ āļāļ°āļĢāļāļāļĒāļđāđāđāļāļĒāļāļģāđāļĄāļŦāļĨāđāļ°? 50 āļāļĢāļīāļĐāļąāļāļĒāļāļāļāļīāļĒāļĄāļāļĩāđāļāļąāļāļāļąāļāļāļąāļāđāļāļĒ WorkVenture āļāļģāļĨāļąāļāļĢāļāļāļļāļāļĄāļēāļŠāļĄāļąāļāļĢāļāļēāļāļāļĒāļđāđ
āļĒāļāļāļāļīāļĒāļĄ
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
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