āđ€āļ‡āļ·āđˆāļ­āļ™āđ„āļ‚āļāļēāļĢāļ„āđ‰āļ™āļŦāļē

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāđƒāļŠāđ‰āļ„āļģāļŦāļĨāļąāļ

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŦāļĄāļ§āļ”āļŦāļĄāļđāđˆāļ‡āļēāļ™

āđ€āļĨāļ·āļ­āļāļŦāļĄāļ§āļ”āļŦāļĄāļđāđˆāļ‡āļēāļ™

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļ›āļĢāļ°āđ€āļ āļ—āļ˜āļļāļĢāļāļīāļˆ

āđ€āļĨāļ·āļ­āļāļ›āļĢāļ°āđ€āļ āļ—āļ˜āļļāļĢāļāļīāļˆ

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŠāđˆāļ§āļ‡āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™

āļ•āļąāđ‰āļ‡āđāļ•āđˆ
āļ–āļķāļ‡

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļŠāļ·āđˆāļ­āļšāļĢāļīāļĐāļąāļ—

āļžāļīāļĄāļžāđŒāļŠāļ·āđˆāļ­āļšāļĢāļīāļĐāļąāļ—

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļĢāļ°āļ”āļąāļšāļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™

āļ„āđ‰āļ™āļŦāļēāđ‚āļ”āļĒāļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™

āđāļŠāļ”āļ‡āļœāļĨ 1 - 20 āļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™ āļˆāļēāļāļ—āļąāđ‰āļ‡āļŦāļĄāļ” 70 āļ•āļģāđāļŦāļ™āđˆāļ‡āļ‡āļēāļ™
āļ—āļĩāđˆāļĄāļĩāļ„āļģāļ§āđˆāļē Data Warehousing
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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™ āļāļđāđ€āļāļīāļĨ āļ›āļĢāļ°āđ€āļ—āļĻāđ„āļ—āļĒ āļˆāļģāļāļąāļ” 1
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļđāđ€āļāļīāļĨ āļ›āļĢāļ°āđ€āļ—āļĻāđ„āļ—āļĒ āļˆāļģāļāļąāļ” 1

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

5 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Project Management, Quality Assurance, Assurance

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 or equivalent practical experience.
  • 5 years of experience in program or project management.
  • Experience with Quality Control and Quality Assurance, or Commissioning Programs.
āļ§āļąāļ™āļ™āļĩāđ‰
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāđ€āļšāļŸ 2
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāđ€āļšāļŸ 2

āļ—āļąāļāļĐāļ°:

Product Owner, Scrum, Project Management

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‰

  • Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
  • Defining the vision for the product team and maintaining a cohesive vision throughout the process.
  • Creating a product road map based on this vision.
3 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 3
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 3
āļ§āļąāļ’āļ™āļē, āļāļĢāļļāļ‡āđ€āļ—āļž, āļ™āļąāļāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒ ,āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ āļ™āļąāļāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒ,āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ

āļ—āļąāļāļĐāļ°:

Business Development, Data Analysis, SQL

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‰

  • Lead the development and execution of data-driven strategies to optimize sales and business development efforts within seller segment.
  • Analyze large datasets to identify trends, opportunities, and potential risks, providing actionable insights to the sales and category management teams.
  • Collaborate with cross-functional teams to design and implement data visualization tools and dashboards for monitoring performance and decision-making.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 4
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļĨāļēāļ‹āļēāļ”āđ‰āļē 4

āļ›āļĢāļ°āđ€āļ āļ—āļ‡āļēāļ™:

āļ‡āļēāļ™āļ›āļĢāļ°āļˆāļģ

āđ€āļ‡āļīāļ™āđ€āļ”āļ·āļ­āļ™:

āļŋ50,000 - āļŋ70,000, āļŠāļēāļĄāļēāļĢāļ–āļ•āđˆāļ­āļĢāļ­āļ‡āđ„āļ”āđ‰

  • Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
  • Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļ‹āļĩāļžāļĩ āđāļ­āđ‡āļāļ‹āđŒāļ•āļĢāđ‰āļē āļˆāļģāļāļąāļ” āļĄāļŦāļēāļŠāļ™ āđāļĄāđ‡āļ„āđ‚āļ„āļĢ 5
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļ‹āļĩāļžāļĩ āđāļ­āđ‡āļāļ‹āđŒāļ•āļĢāđ‰āļē āļˆāļģāļāļąāļ” āļĄāļŦāļēāļŠāļ™ āđāļĄāđ‡āļ„āđ‚āļ„āļĢ 5

āļ—āļąāļāļĐāļ°:

Excel, Power point, Power BI, 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‰

  • Bachelor's degree in IT, Supply Chain or any related fields.
  • At least 5 years experienced in DC, Warehouse, Supply Chain and Logistics.
  • Strong Analytical skills.
4 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļ•āļīāđŠāļāļ•āđŠāļ­āļ āđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļŠāđŒ āļˆāļģāļāļąāļ” 6
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āļ•āļīāđŠāļāļ•āđŠāļ­āļ āđ€āļ—āļ„āđ‚āļ™āđ‚āļĨāļĒāļĩāļŠāđŒ āļˆāļģāļāļąāļ” 6

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‰

  • About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every chall ...
5 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 7
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 7

āļ—āļąāļāļĐāļ°:

Compliance, Legal, Risk Management

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‰

  • Establish and maintain appropriate security measures for personal data protection to prevent unauthorized access, loss, alteration, or disclosure..
  • Regularly review and update security measures to align with technological advancements and PDPA requirements..
  • Ensure third-party vendors handling personal data comply with data protection regulations..
5 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļžāļĩāļ—āļĩāļˆāļĩ 8
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļžāļĩāļ—āļĩāļˆāļĩ 8

āļ—āļąāļāļĐāļ°:

Automation, Big Data, Accounting

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‰

  • Oversee a Master Data specialist team that analyze and enrich master data elements and optimize the flow data between users and BUs.
  • Serve as subject matter expert on Master Data Management for IT and Analytics initiatives.
  • Be a Head of master data manages data governance and ensures data integrity by leading data management efforts across the company.
5 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 9
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļĢāļīāļĐāļąāļ— āđāļ­āļŠāđ€āļ‹āļ™āļ”āđŒ āļāļĢāļļāđŠāļ› āļˆāļģāļāļąāļ” 9

āļ—āļąāļāļĐāļ°:

ISO 27001, 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‰

  • āļĢāļąāļšāļœāļīāļ”āļŠāļ­āļšāļāļēāļĢ Monitoring āļ„āļ§āļšāļ„āļļāļĄāđāļĨāļ°āļˆāļąāļ”āļāļēāļĢāļĢāļ°āļšāļšāļžāļ·āđ‰āļ™āļāļēāļ™āđ€āļāļĩāđˆāļĒāļ§āļāļąāļš āđ„āļŸāļŸāđ‰āļē āđāļĨāļ°āļĢāļ°āļšāļšāļ›āļĢāļąāļšāļ­āļēāļāļēāļĻ āļĢāļ°āļšāļšāđ€āļ„āļĢāļ·āļ­āļ‚āđˆāļēāļĒ āđ€āļžāļ·āđˆāļ­āļŠāļ™āļąāļšāļŠāļ™āļļāļ™āļāļēāļĢāļˆāļąāļ”āļāļēāļĢ.
  • āļ•āļ­āļšāļŠāļ™āļ­āļ‡āļ„āļ§āļēāļĄāļ•āđ‰āļ­āļ‡āļāļēāļĢāļ‚āļ­āļ‡āļĨāļđāļāļ„āđ‰āļē āđāļĨāļ°āļ›āļĢāļ°āļŠāļēāļ™āļ‡āļēāļ™ āļāļēāļĢāļ•āļīāļ”āļ•āļąāđ‰āļ‡āđāļĨāļ°āļāļēāļĢāđāļāđ‰āđ„āļ‚āļ›āļąāļāļŦāļēāļĢāļ°āļšāļšāļ‚āļ­āļ‡āļœāļđāđ‰āļšāļĢāļīāļāļēāļĢ (vendor) āđ€āļžāļ·āđˆāļ­āđƒāļŦāđ‰āļ–āļđāļāļ•āđ‰āļ­āļ‡āđāļĨāļ°āļŠāļĄāļšāļđāļĢāļ“āđŒāļ•āļēāļĄāļŦāļĨāļąāļāļ›āļŽāļīāļšāļąāļ•āļī.
  • āļ„āļ§āļšāļ„āļļāļĄāđāļĨāļ°āļ›āļĢāļ°āļŠāļēāļ™āļ‡āļēāļ™āļāļēāļĢāļšāļģāļĢāļļāļ‡āļĢāļąāļāļĐāļēāđāļĨāļ°āļāļēāļĢāļ‹āđˆāļ­āļĄāđāļ‹āļĄ (Preventive Maintenance) āļĢāļ°āļšāļšāļžāļ·āđ‰āļ™āļāļēāļ™āļ•āđˆāļēāļ‡āđ† āđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļāļģāđ€āļ™āļīāļ”āđ„āļŸāļŸāđ‰āļē Generator, āđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļŠāļģāļĢāļ­āļ‡āđ„āļŸāļŸāđ‰āļē UPS, āļĢāļ°āļšāļšāļ•āļđāđ‰āđ„āļŸāļŸāđ‰āļē, āļĢāļ°āļšāļšāļ›āļĢāļąāļšāļ­āļēāļāļēāļĻ āđāļĨāļ°āļāļēāļĢāļ•āļīāļ”āļ•āļąāđ‰āļ‡āļ­āļļāļ›āļāļĢāļ“āđŒāļĢāļ°āļšāļšāđ€āļ„āļĢāļ·āļ­āļ‚āđˆāļēāļĒ (Network) āđ€āļ›āđ‡āļ™āļ•āđ‰āļ™.
āļ§āļąāļ™āļ™āļĩāđ‰
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđāļ­āļ„āđ€āļ‹āļ™āđ€āļˆāļ­āļĢāđŒ 10
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđāļ­āļ„āđ€āļ‹āļ™āđ€āļˆāļ­āļĢāđŒ 10

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‰

  • Analyze client business processes and value chains, and benchmark client performance against data & AI leaders to identify opportunities to drive business value.
  • Lead and contribute to the development of AI strategy and roadmap, including use case identification, business case development, and prioritization.
  • Design the target operating model for Data & AI Center of Excellence.
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
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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™ āļšāļīāđŠāļāļ‹āļĩ 11
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļšāļīāđŠāļāļ‹āļĩ 11

āļ—āļąāļāļĐāļ°:

Data Analysis, ETL, 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‰

  • Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
  • Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
  • Data Modeling: Design and implement data models that are optimized for scalability, ...
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 12
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 12

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‰

  • Experience migrating from on-premise data stores to cloud solutions.
  • Knowledge of system design and platform thinking to build sustainable solution.
  • Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 13
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 13

āļ—āļąāļāļĐāļ°:

Python, SQL, Analytical Thinking, 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‰

  • English as working language.
  • Minimum of 3 years data analytics related working experiences.
  • At least 1 year of working experience directly communicate to business team.
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 14
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļāļĢāļļāļ‡āđ„āļ—āļĒ 14

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‰

  • System Design: Knowledge of system design and platform thinking to build sustainable solutions.
  • Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
  • Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
6 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļŠāļĒāļēāļĄāļžāļīāļ§āļĢāļĢāļ˜āļ™āđŒ 15
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļŠāļĒāļēāļĄāļžāļīāļ§āļĢāļĢāļ˜āļ™āđŒ 15
āļ›āļ—āļļāļĄāļ§āļąāļ™, āļāļĢāļļāļ‡āđ€āļ—āļž, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ āļ§āļīāļĻāļ§āļāļĢāļĢāļĄ

āļ—āļąāļāļĐāļ°:

Research, Automation, Statistics

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‰

  • Work on Data Architecture. They use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements.
  • Collect Data. Before initiating any work on the database, they have to obtain data from the right sources. After formulating a set of dataset processes, data engineers store optimized data.
  • Conduct Research. Data engineers conduct research in the industry to address any issues that can arise while tackling a business problem.
7 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ­āđ‚āļāļ”āđ‰āļē 16
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļ­āđ‚āļāļ”āđ‰āļē 16

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

5 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Automation, Oracle, SQL

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‰

  • API Innovator: Develop and integrate custom APIs, ensuring seamless connectivity between Oracle Fusion applications and external systems. You'll design and implement interfaces that enable efficient data flows across platforms.
  • Report Builder: Design and build custom reports using Oracle BI Publisher, OTBI, and other reporting tools within Oracle Fusion. You will work closely with stakeholders to ensure that reports meet business needs and provide actionable insights.
  • Table Architect: Create and maintain custom tables in Oracle Fusion, ensuring they a ...
āļ§āļąāļ™āļ™āļĩāđ‰
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 17
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ‚āļĨāļ•āļąāļŠ 17

āļ—āļąāļāļĐāļ°:

Data Analysis, Finance, SQL, 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‰

  • Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
  • Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
  • Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
9 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāļ­āļ­āļĒāļĨāđŒ 18
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāļ­āļ­āļĒāļĨāđŒ 18
āļĻāļĢāļĩāļĢāļēāļŠāļē, āļŠāļĨāļšāļļāļĢāļĩ, āļ„āļ§āļēāļĄāļ›āļĨāļ­āļ”āļ āļąāļĒ ,āļšāļĢāļīāļŦāļēāļĢāļœāļĨāļīāļ•āļ āļąāļ“āļ‘āđŒ / āļšāļĢāļīāļŦāļēāļĢāđāļšāļĢāļ™āļ”āđŒāļŠāļīāļ™āļ„āđ‰āļē āļ„āļ§āļēāļĄāļ›āļĨāļ­āļ”āļ āļąāļĒ,āļšāļĢāļīāļŦāļēāļĢāļœāļĨāļīāļ•āļ āļąāļ“āļ‘āđŒ / āļšāļĢāļīāļŦāļēāļĢāđāļšāļĢāļ™āļ”āđŒāļŠāļīāļ™āļ„āđ‰āļē

āļ›āļĢāļ°āļŠāļšāļāļēāļĢāļ“āđŒ:

3 āļ›āļĩāļ‚āļķāđ‰āļ™āđ„āļ›

āļ—āļąāļāļĐāļ°:

Compliance, Legal, Risk Management

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‰

  • Develop data security policy review, data security policy exceptions, and control risk mitigation processes.
  • Define the security controls for access management lifecycle (i.e., requirement for creation, deletion, transfer and review).
  • Operate:Advice on technology relating to Data Privacy and Protection (i.e., PDPA) related security controls implementation.
āļ§āļąāļ™āļ™āļĩāđ‰
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļžāļĩāļ—āļĩāļˆāļĩ 19
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āļžāļĩāļ—āļĩāļˆāļĩ 19

āļ—āļąāļāļĐāļ°:

SQL, Python, 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‰

  • Manage and plan the data direction and strategy for business need.
  • Drive successful of data insight initiatives and effective collaboration with stakeholders.
  • Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
10 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāđ€āļšāļŸ 20
āļŦāļēāļ‡āļēāļ™ āļŠāļĄāļąāļ„āļĢāļ‡āļēāļ™ āđ„āļ—āļĒāđ€āļšāļŸ 20
āļˆāļ•āļļāļˆāļąāļāļĢ, āļāļĢāļļāļ‡āđ€āļ—āļž, āļāļēāļĢāđ€āļ‡āļīāļ™ ,āļœāļđāđ‰āļšāļĢāļīāļŦāļēāļĢāļ­āļēāļ§āļļāđ‚āļŠ āļāļēāļĢāđ€āļ‡āļīāļ™,āļœāļđāđ‰āļšāļĢāļīāļŦāļēāļĢāļ­āļēāļ§āļļāđ‚āļŠ

āļ—āļąāļāļĐāļ°:

Product Owner, Scrum, Project Management

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‰

  • Collaborating with prospective users and clients to understand and anticipate their needs and translate them into product requirements.
  • Defining the vision for the product team and maintaining a cohesive vision throughout the process.
  • Creating a product road map based on this vision.
10 āļ§āļąāļ™āļ—āļĩāđˆāļœāđˆāļēāļ™āļĄāļē
āļ”āļđāđ€āļžāļīāđˆāļĄāđ€āļ•āļīāļĄkeyboard_arrow_down
āļŠāđˆāļ‡āđāļˆāđ‰āļ‡āđ€āļ•āļ·āļ­āļ™āļ‡āļēāļ™āđƒāļŦāļĄāđˆāļĨāđˆāļēāļŠāļļāļ”āļŠāļģāļŦāļĢāļąāļšData Warehousing
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