āļšāļĢāļīāļĐāļąāļ—āļ™āļĩāđ‰āđ„āļĄāđˆāļĄāļĩāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ—āļĩāđˆāļĨāļ‡āļ›āļĢāļ°āļāļēāļĻāļ”āļđāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ—āļąāđ‰āļ‡āļŦāļĄāļ”āļ—āļĩāđˆāļāļģāļĨāļąāļ‡āđ€āļ›āļīāļ”āļĢāļąāļšāļŠāļĄāļąāļ„āļĢ
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āđ„āļĄāđˆāļĄāļĩāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļŠāļģāļŦāļĢāļąāļšāļšāļĢāļīāļĐāļąāļ—āļ™āļĩāđ‰ āļ•āđˆāļ­āđ„āļ›āļ™āļĩāđ‰āđ€āļ›āđ‡āļ™āļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ—āļĩāđˆāļ„āļļāļ“āļ­āļēāļˆāļˆāļ°āļŠāļ™āđƒāļˆ

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āļ­āļąāļžāđ‚āļŦāļĨāļ”āđ€āļĢāļ‹āļđāđ€āļĄāđˆāļ‚āļ­āļ‡āļ„āļļāļ“ AI āļ‚āļ­āļ‡āđ€āļĢāļēāļˆāļ°āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāđāļĨāļ°āđāļ™āļ°āļ™āļģāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™āļ—āļĩāđˆāļ”āļĩāļ—āļĩāđˆāļŠāļļāļ”āđƒāļŦāđ‰āļ„āļļāļ“
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ WV 1
āļ§āļąāļ’āļ™āļē, āļāļĢāļļāļ‡āđ€āļ—āļž, āļāļēāļĢāļ•āļĨāļēāļ” / āđ‚āļ†āļĐāļ“āļē āļāļēāļĢāļ•āļĨāļēāļ” / āđ‚āļ†āļĐāļ“āļē

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

āđ„āļĄāđˆāļˆāļģāđ€āļ›āđ‡āļ™āļ•āđ‰āļ­āļ‡āļĄāļĩāļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒāļ—āļģāļ‡āļēāļ™

āļ—āļąāļāļĐāļ°:

English, Thai

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļāļķāļāļ‡āļēāļ™

  • Collaborate with the Brand and eCommerce teams to update and enhance the appearance of our eCommerce platforms, ensuring brand consistency and sales optimization.
  • Review and resolve content issues on international websites, utilizing newly created branded content.
  • Manage and maintain YouTube channels across multiple countries to ensure a consistent brand image.
44 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 2

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

1 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Statistics, Data Analysis, Finance

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Bachelor s degree in Statistics, Economics, Mathematics, or related field.
  • 1-3 years of experience in data analysis or related roles. Experience in banking or finance preferred.
  • Proficiency in Excel, SQL, Python/R, data visualization tools like Tableau or Power BI. Strong statistical analysis skills.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 3

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

2 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Data Analysis, Budgeting, Contracts, Human Resource Management, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŋ50,000 - āļŋ75,000, āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Strategic allocation with key partners to drive cost efficiency & service levels consistency of assigned countries.
  • Execute forecasting models of contacts based on historical data, business trends & expected demand.
  • Collaborate with automation team on volume inflow strategies for service levels consistency & quality.
3 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļŠāļĒāļēāļĄāļžāļīāļ§āļĢāļĢāļ˜āļ™āđŒ 4

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

1 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Sales, Excel, Positive Thinker, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • To ensure that the cafe is ready to operate at the highest standard by completing Mise en Place to the required standard.
  • To maintain service standards of in personalized way.
  • To actively operate restaurant / CafÃĐ Mise en place, maintain the Alain Ducasse s standards.
17 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 5

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŋ55,000 - āļŋ80,000, āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • In charge of Product Operation features of both front end (packages configuration) and Backend (internal operation tool).
  • Responsible for product performance management and dashboards maintenance with clear actions planning from data insights.
  • Coordinate with tech team on end to end product management lifecycle within BD team such as Stewardship of the development, UAT and released.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ€āļ­āđ„āļ­āđ€āļ­āļŠ 6

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

1 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Sales, Business Development, Customer Relationship Management (CRM), Negotiation, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Act as business consultant to suggest the most suitable digital payment solution to empower merchants/partners for digital commerce.
  • Close sales to achieve individual sales target.
  • Gather pain points/new requirements from new potential merchants/partners to explore with product development team together with maintain good relationships with existing merchants/partners and seek for new opportunities from their new channels or products/services.
5 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 7

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • āļ§āļļāļ’āļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļ”āļąāļšāļ›āļĢāļīāļāļāļēāļ•āļĢāļĩāļ‚āļķāđ‰āļ™āđ„āļ› āļŠāļēāļ‚āļēāļāļēāļĢāđ€āļ‡āļīāļ™ āļāļēāļĢāļšāļąāļāļŠāļĩ āđ€āļĻāļĢāļĐāļāļĻāļēāļŠāļ•āļĢāđŒāļŦāļĢāļ·āļ­āļŠāļēāļ‚āļēāļ§āļīāļŠāļēāļ—āļĩāđˆāđ€āļāļĩāđˆāļĒāļ§āļ‚āđ‰āļ­āļ‡.
  • āļĄāļĩāļ„āļ§āļēāļĄāļĢāļđāđ‰āđāļĨāļ°āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒāļ”āđ‰āļēāļ™āļāļēāļĢāļšāļĢāļīāļŦāļēāļĢāļŠāļīāļ™āđ€āļŠāļ·āđˆāļ­ āļāļēāļĢāļšāļĢāļīāļŦāļēāļĢāļŦāļ™āļĩāđ‰ NPLs āļāļĢāļ°āļšāļ§āļ™āļāļēāļĢāļ›āļĢāļąāļšāļ›āļĢāļļāļ‡āđ‚āļ„āļĢāļ‡āļŠāļĢāđ‰āļēāļ‡āļŦāļ™āļĩāđ‰, āļāļēāļĢāļšāļĢāļīāļŦāļēāļĢāļ„āļ§āļēāļĄāđ€āļŠāļĩāđˆāļĒāļ‡ āļŦāļĢāļ·āļ­āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļŠāļīāļ™āđ€āļŠāļ·āđˆāļ­āļ˜āļļāļĢāļāļīāļˆāļ‚āļ™āļēāļ”āļāļĨāļēāļ‡āļ‚āļķāđ‰āļ™āđ„āļ› āđāļĨāļ°āļ­āļēāļĒāļļāļ‡āļēāļ™āđ„āļĄāđˆāļ•āđˆāļģāļāļ§āđˆāļē 3 āļ›āļĩ.
  • āļĄāļĩāļ„āļ§āļēāļĄāļĢāļđāđ‰āđ€āļāļĩāđˆāļĒāļ§āļāļąāļšāļŦāļĨāļąāļāđ€āļāļ“āļ‘āđŒ āļ‚āđ‰āļ­āļāļŽāļŦāļĄāļēāļĒ āđāļĨāļ°āļ‚āđ‰āļ­āļāļģāļŦāļ™āļ”āļ•āđˆāļēāļ‡āđ† āļ—āļĩāđˆāđ€āļāļĩāđˆāļĒāļ§āļ‚āđ‰āļ­āļ‡āļāļąāļšāļāļēāļĢāļ›āļĢāļąāļšāļ›āļĢāļļāļ‡āđ‚āļ„āļĢāļ‡āļŠāļĢāđ‰āļēāļ‡āļŦāļ™āļĩāđ‰.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 8

āļ—āļąāļāļĐāļ°:

Risk Management, Data Analysis, Financial Analysis, Good Communication Skills, English

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Developing and implementing an assets and liabilities strategy (gapping) that optimizes the company s return, in accordance with the ALCO s guidelines/ recommendations.
  • Preparing ongoing assessment of asset & liability mismatches and managing the implementation of required short and medium term financing structures.
  • Forecasting cash payments, manging liquidity and anticipating potential challenges arising from limited cash flow.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 9

āļ—āļąāļāļĐāļ°:

SQL, Oracle, Data Warehousing

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Bachelor s degree in Computer Science, Information Systems, Engineering, or a related field.
  • At least 7 years of experience as a Data Engineer or in a related role.
  • Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
1 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 10

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

3 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Big Data, Hive, SAS

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Design, implement, and maintain data analytics pipelines and processing systems.
  • Experience of data modelling techniques and integration patterns.
  • Write data transformation jobs through code.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down

āļšāļĢāļīāļĐāļąāļ—āļ—āļĩāđˆāļ™āđˆāļēāļŠāļ™āđƒāļˆ