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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Accounting, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ22,000 - āļŋ25,000
- Managing company facilities and maintaining a safe environment.
- Assisting in handling office supplies and exploring new suppliers.
- Helping with organizing team activities and events.
- Report about all operations to CEO.
- Bachelor's degree in Accounting, Finance, or related field.
- 1-3 years of experience in accounting or finance.
- Strong knowledge of accounting principles and AP/AR processes.
- Proficiency in Excel and accounting software.
- Attention to detail and organizational skills.
- Strong communication skills, good command of English is preferred.
- Proactive problem-solver with analytical mindset.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Branding, Research, Appsflyer, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Client Solutions Team will be a client & campaign management expert, working with advertisers and agencies to design, implement, and optimize campaigns to achieve advertisers' performance objectives. Client Solutions Team is one of the most important partners to our sales team, establishing and strengthening key client relationships with a focus on driving revenue, advertiser education & advertiser satisfaction. Key skills required for any persons to be in this team is to have a great focus on client service, ability to optimize marketing performance results for advertisers, and ca ...
- Minimum Qualifications: - 5+ years of experience working directly with marketing, media and/or agencies and demonstrated execution skills required - Experience planning, executing, and optimizing performance marketing campaigns - Experience with web and app tracking, attribution, and media measurement; experience using some of the major tools like GA and AppsFlyer - Strong analytical skills and experience developing actionable insights and storytelling through data visualization - Exceptional verbal and written communication skills, story-teller - Fluent in English Preferred Qualifications: - Excellent listening skills and proactive about collaboration - Adaptability and strong problem-solving skills using the proper escalation process - Ability to analyze data and identify insight - Organized and detailed oriented. Self-starter and motivated to learn - Experience across Tiktok s advertising solutions - Experience in sales and cultivating client relationships - Experience in collaborating and influencing across a diverse set of cross-functional teams including senior management - Experience working in the Auto, Finance, Retail, or Telco industry would be a plus.
- Job Information.
- About TikTok.
- TikTok 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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
- Why Join Us.
- Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
- We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
- Diversity & Inclusion.
- TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Preparing, maintaining, monitoring, analyzing, and troubleshooting for all electrical equipment as power system, transmission line and closely monitoring for feeder of industrial user customers in safe and stability.
- Controlling and reducing the maintenance costs to have production effectiveness within the specified limits.
- Analyzing and solving machinery problems in normal and urgent situations/cases or on-call for continuous operation of machinery and electrical system.
- Ensuring that sufficient tools and spare parts are stocked to support plant availability consistent with minimizing stores stock holding.
- Studying to propose the most appropriate solution for maintenance activities to be further leveraged.
- Bachelor s degree or higher in Electrical Engineering.
- Minimum 3 years experience in electrical maintenance (New graduate who is a high-potential and seeking for job challenging is also welcome).
- Experience in power plant and expert in Relay Protection would be an advantage.
- Ability to work on-call on weekends and holidays.
- Good command in English (Minimum 600 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We're committed to bringing passion and customer focus to the business.
- To be liaison person to who contact with Government and Industry.
- Analyze and understand business contexts and stakeholder requirement.
- Monitoring government policy that related with OSP business.
- Manage relationship and workflow between OSP, government and external as required.
- Responsibility for all administrative duties related to the role.
- Perform other related duties as assigned.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!.
āļāļąāļāļĐāļ°:
Software Development, Project Management, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Technical support for CFO (Carbon Footprint for Organization) customers.
- Business requirements gathering and analysis for software customization.
- Manage software development team and customers.
- Monitor and verify all technical and commercial aspects of information related to identifying new business opportunities.
- Follow the execution plan to meet the target and achieve optimum benefits.
- Coordinate and communicate with all concerned stakeholders, both internal and external, to meet established targets on the business plan.
- Assist in business plan execution for commercialization, such as selling model, product launching model, financial model, etc.
- Provide other administrative support as assigned.
- Bachelor s degree in engineering or computer science.
- 1 - 3 years of experience in Software development.
- Good understanding of Decarbonization Technology.
- Innovative and creative mindset.
- Excellent Project Management skills.
- Decision-making skills and problem-solving abilities.
- Good English skills.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Corporate Law, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- āļāļĢāļ§āļ āļĢāđāļēāļ āđāļĨāļ°āđāļāđāđāļ āļŠāļąāļāļāļēāļāļēāļāļāļļāļĢāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ āđāļĨāļ°āđāļŦāđāļāļ§āļēāļĄāđāļŦāđāļāđāļāļĩāđāļĒāļ§āļāļąāļāļŠāļąāļāļāļēāļāļāļāļāļĢāļīāļĐāļąāļ.
- āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāđāļāļ°āļāļģ āļāļāļāļāđāļāļŦāļēāļĢāļ·āļāļāļąāļāļŦāļēāļāđāļēāļāļāļāļŦāļĄāļēāļĒāđāļĨāļ°āđāļŠāļāļāđāļāļ°āđāļāļ§āļāļēāļāđāļāđāđāļāļāđāļēāļāļāļāļŦāļĄāļēāļĒ.
- āļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļ āđāļĨāļ°āļāļąāļāļāļģāđāļāļāļŠāļēāļĢāļāđāļēāļāļāļāļŦāļĄāļēāļĒāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāđāļēāļ āđ āļāļąāđāļāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāđāļāļāļ§āđāļēāļāđāļāļāļāļŦāļĄāļēāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļĢāļ°āļāļāļāļāļļāļĢāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļļāļāļīāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļāļŠāļēāļāļēāļāļīāļāļīāļĻāļēāļŠāļāļĢāđāļāļąāļāļāļīāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ 2-5 āļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļāļŠāļāļēāļāļāļēāļĢāļāđāđāļāļāļēāļ°āļŦāļāđāļē.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļēāļāļāđāļēāļāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄāļāļēāļāļāđāļēāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđāļāļĩ.
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.
āļāļąāļāļĐāļ°:
SAP, Express
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāļāļģāļāļ§āļāļāđāļāļāļļāļāļāļĨāļīāļāļ āļąāļāļāđ āļŠāļģāļŦāļĢāļąāļāļāļģāļŦāļāļāļĢāļēāļāļēāļŠāļīāļāļāđāļēāđāļĨāļ°āļŠāļīāļāļāđāļēāļāļāđāļŦāļĨāļ·āļ.
- āļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļĢāļ§āļāļŠāļāļāļāļ§āļēāļĄāļāļđāļāļāđāļāļāđāļāļ·āđāļāļāļąāļāļāļģāđāļāđāļāđāļāļŦāļāļĩāđ.
- āļāļąāļāļāļēāļĢāđāļāļāļŠāļēāļĢāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļāļ§āļēāļĄāļāļđāļāļāđāļāļāļāļĢāđāļāļĄāļāļąāļāļāļģāļāļļāļāļāđāļēāļĒāļāļģāļĢāļ°āđāļāļīāļ.
- āļāļąāļāļāļķāļāļāļąāļāļāļĩāļāđāļēāļāđāļāļĢāđāļāļĢāļĄ.
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļīāļāļāļēāļĄāļĒāļāļāļĨāļđāļāļŦāļāļĩāđāļāđāļēāļāļāļģāļĢāļ°.
- āļāļ§āļāļāļļāļĄāđāļĨāļ°āļāļīāļāļāļēāļĄāļĒāļāļāđāļāđāļēāļŦāļāļĩāđāļāđāļēāļāļāļģāļĢāļ°.
- āļāļąāļāļāļģāļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļĢāļ°āļāļāļāļāļāļāļēāļĢāđāļāļīāļ.
- āļāļąāļāļāļķāļ āļāļąāļāļāļģ āđāļĨāļ°āļāļģāļŠāđāļāļ āļēāļĐāļĩāļĄāļđāļĨāļāđāļēāđāļāļīāđāļĄ āļ āļēāļĐāļĩāđāļāļīāļāđāļāđāļŦāļąāļ āļ āļāļĩāđāļāđāļēāļĒ āļ āļēāļĐāļĩāļāļīāļāļīāļāļļāļāļāļĨ āļ āļēāļĐāļĩāļāļļāļĢāļāļīāļāđāļāļāļēāļ° āđāļĨāļ°āļ āļēāļĐāļĩāļāļ·āđāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ (āļāđāļēāļĄāļĩ) āļŠāļģāļŦāļĢāļąāļāļāļļāļĢāļāļīāļāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāđāļŦāđāļāļđāļāļāđāļāļāļāļĢāļāļāđāļ§āļ āđāļĨāļ°āđāļāđāļāđāļāļāļēāļĄāļāļĢāļāļāļĢāļ°āļĒāļ°āđāļ§āļĨāļēāļāļĩāđāļāļģāļŦāļāļ.
- āļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļ āđāļĨāļ°āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļ āļēāļĒāđāļ āđāļĨāļ°āļ āļēāļĒāļāļāļ āđāļāļāļĢāļ°āđāļāđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļąāļāļāļĩāđāļĒāļāļāļĢāļ°āđāļ āļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļģāļāļāļāļēāļĢāđāļāļīāļ.
- āļāļāļāļ§āļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļąāļāļāļĩāđāļĒāļāļāļĢāļ°āđāļ āļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļģāļāļāļāļēāļĢāđāļāļīāļāļāļĒāđāļēāļāļŠāļĄāđāļģāđāļŠāļĄāļ āđāļāļ·āđāļāļāļīāļāļēāļĢāļāļēāļāļĢāļąāļāļāļĢāļļāļāđāļĨāļ°āđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ.
- āļāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļ āļāļĢāļīāļāļāļēāļāļĢāļĩāđāļāļŠāļēāļāļēāļāļąāļāļāļĩ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāđāļēāļāļāļąāļāļāļĩāļāļēāļĢāđāļāļīāļ āđāļāļĒāđāļāļāļēāļ°āļāļĒāđāļēāļāļĒāļīāđāļāļāļąāļāļāļĩāļāđāļāļāļļāļāļāļēāļĢāļāļĨāļīāļāļŠāļīāļāļāđāļē 2-4 āļāļĩ āļāļķāđāļāđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļĩ PAES āđāļĨāļ°āļāļāļŦāļĄāļēāļĒāļ āļēāļĐāļĩāļāļēāļāļĢ.
- āļāļēāļĒāļļ 25-30 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļāļĩāđāļĒāļ§āļāļąāļāļĢāļ°āļāļ SAP Express āļŦāļĢāļ·āļāļĢāļ°āļāļāļāļąāļāļāļĩāļāļ·āđāļāļāļĩāđāđāļāđāđāļāđāļāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄ MS. Office āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļ āđāļĨāļ°āļāļīāļāļāļēāļĄāļāđāļāļĄāļđāļĨāļāļēāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļđāļ āđāļāļĩāļĒāļ āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāļāđāļāļāļāđāļēāļāļāļĩ.
āļāļąāļāļĐāļ°:
Microsoft Office, Excel
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļīāļŦāļēāļĢāļāļēāļĢāļāļĢāļ°āļŦāļĒāļąāļāļāđāļāļāļļāļāđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļāļĨāļĒāļļāļāļāđāļāļēāļĢāļāļąāļāļŦāļēāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļīāļāļāļēāļāļāđāļāļĄ, āļāļēāļĢāļāļĢāļīāļāļēāļĢāļāļāļāļāļāļāđāļāļĢ (āļāļēāļĢāđāļāļīāļāļŠāļēāļāļē) āļāļļāļāļāļĢāļāđāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļŦāļēāļĢ, āļāļĢāļĢāļāļļāļ āļąāļāļāđāļāļēāļŦāļēāļĢ, IT, āļŪāļēāļĢāđāļāđāļ§āļĢāđāđāļĨāļ°āļāļāļāļāđāđāļ§āļĢāđ āđāļĨāļ°āļāļ·āđāļāđ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļĢāļąāļāļĐāļēāļāļ§āļēāļĄāļŠāļąāļĄāļāļąāļāļāđāļāļąāļāļāļđāđāļĄāļĩāļŠāđāļ§āļāđāļāđāļŠāđāļ§āļāđāļŠāļĩāļĒāļāļēāļāļāļļāļĢāļāļīāļāđāļĨāļ°āļāļąāļāļāļĄāļīāļāļĢāļāđāļēāļāļāļēāļĢāļāļąāļāļŦāļēāđāļāļīāļāļāļĨāļĒāļļāļāļāđāđāļāļ·āđāļāļāļĢāļąāļāļāļĢāļļāļāļāļĨāļĨāļąāļāļāđāļāļēāļāļāļļāļĢāļāļīāļ.
- āļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļŦāđāļ§āļāđāļāđāļāļļāļāļāļēāļāđāļĨāļ°āļāļđāđāļĨāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļĄāļāđāļāļāļģāļŦāļāļāļāļēāļāļāļāļŦāļĄāļēāļĒāđāļĨāļ°āļāđāļāļāļąāļāļāļąāļāđāļāļāļīāļāļāļĢāļĢāļĄāļāļēāļĢāļāļąāļāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāđāļēāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļāļāļļāļĢāļāļīāļāđāļŦāđāļŠāļđāļāļŠāļļāļ.
- āļāļģāļŦāļāļāđāļāļāļāļēāļ āđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāļāļąāļāļŦāļē āļāļąāļāļāđāļēāļāļ§āļąāļŠāļāļļāđāļĨāļ°āļāļļāļāļāļĢāļāđāļŦāļĢāļ·āļāļāļĢāļīāļāļēāļĢāļāļēāļĄāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļāļĢāļīāļĐāļąāļ āđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāļāļąāļāļāļ·āđāļāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļĄāļēāļāļĢāļāļēāļāļāļĩāđāļāļģāļŦāļāļ.
- āļĄāļāļāļŦāļĄāļēāļĒāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāđāļŦāđāđāļāđāļāđāļāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āđāļāļĢāļāļēāļāđāļāļĢāļāļāļĢāļēāļāļēāđāļĨāļ°āđāļāļ·āđāļāļāđāļ.
- āļāļĢāļ§āļāļŠāļāļāđāļāļŠāļąāđāļāļāļ·āđāļ āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļ§āļēāļāđāļāļāđāļāļāļēāļĢāļāļąāļāļāļ·āđāļāļāļąāļāļŦāļēāļŠāļīāļāļāđāļēāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļąāļāļāļģāđāļāļ·āđāļāļāđāļ TOR āđāļĨāļ°āļŠāļąāļāļāļēāļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļąāļāļāļđāđāļāļēāļĒāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļāļĢāļ°āđāļāļĩāļĒāļāđāļĨāļ°āļĄāļēāļāļĢāļāļēāļāļāļĩāđāļāļģāļŦāļāļ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļĢāļąāļāļĐāļēāļāļ§āļēāļĄāļŠāļąāļĄāļāļąāļāļāđāļāļąāļāļāļđāđāļāļēāļĒāļŦāļĢāļ·āļāļāļđāđāļĢāļąāļāđāļŦāļĄāļēāļĢāļēāļĒāļāļąāļāļāļļāļāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĢāļąāļāļāļĢāļļāļ āđāļāđāļāļąāļāļŦāļē āđāļĨāļ°āļāļąāļāļāļēāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļāļāļąāļāļāļ·āđāļāļāļąāļāļāđāļēāļāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļēāļāļāļąāļāļāļ·āđāļāļŠāļīāļāļāđāļēāđāļŦāđāđāļāđāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒāđāļĨāļ°āļāđāļĒāļāļēāļĒāļāļāļāļāļāļāđāļāļĢ.
- āļ§āļēāļāđāļāļāļ§āļīāļāļĩāļāļēāļĢāļāļąāļāļāļ·āđāļāļāļēāļĢāļŠāļāļāđāļāļĩāļĒāļāļĢāļēāļāļēāļāļāļāļ§āļąāļŠāļāļļāļāļļāļāļāļĢāļāđāļŦāļĢāļ·āļāļāļĢāļīāļāļēāļĢ āđāļāļ·āđāļāļāļ§āļāļāļļāļĄāļĢāļēāļĒāļāđāļēāļĒāđāļĨāļ°āļāļĢāļīāļĄāļēāļāļāļēāļĢāļŠāļąāđāļāļāļ·āđāļāļāđāļāļāļĢāļąāđāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāđāļāļāļēāļĢāđāļāđāļāļēāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļģāđāļŠāļāļāļĢāļēāļāļāļēāļ āđāļĨāļ°āļāļĨāļŠāļĢāļļāļāļāļēāļĢāļāļąāļāļāļ·āđāļāļāļąāļāļāđāļēāļāļāļĢāļ°āļāļģāđāļāļ·āļāļ.
- āļāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāđāļāļŦāļĢāļ·āļāļāļĢāļīāļāļāļēāļāļĢāļĩāļŠāļēāļāļē Supply Chain Management āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļāļāļąāļāļāļ·āđāļ 7 āļāļĩāļāļķāđāļāđāļ āđāļāļāļēāļāļāļąāļāļāļ·āđāļāļ§āļąāļāļāļļāļāļīāļāļāļēāļāļāđāļāļĄāļŦāļĢāļ·āļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāđāļģāļĄāļąāļ&āļāđāļēāļāļŦāļĢāļ·āļāļāļļāļĢāļāļīāļāļāļēāļŦāļēāļĢāļāļĢāļīāļāļēāļĢāļāđāļ§āļ (QSR) āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđ Microsoft Office āđāļāđāđāļāļĢāļ°āļāļąāļāļāļĩāļĄāļēāļ (āđāļāļĒāđāļāļāļēāļ° Excel pivot/V-lookup).
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļēāļāđāļāļāđāļāļĢāļāļāļēāļĢāđāļāļ·āđāļāđāļŦāđāļāļģāđāļāļīāļāļāļēāļĢāļāļāđāļŠāļĢāđāļāļŠāļīāđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļāļąāļāļāļ·āđāļ āļāļąāļāļāđāļēāļ, āļāļ§āļēāļĄāļĢāļđāđāđāļāļāļĨāļīāļāļ āļąāļāļāđāđāļĨāļ°āļāļĢāļīāļāļēāļĢ.
- āļĄāļĩāļāļąāļāļĐāļēāļ°āļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ āđāļāđāļĄāļāđāļēāļ§ āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļĨāļ°āļāļąāļāļŠāļīāļāđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ (Communication)..
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°:
Teamwork
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļ§āļēāļāļĢāļđāļāđāļāļāļāđāļāļĄāļđāļĨ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āđāļāļĢāļĩāļĒāļĄāļĢāļēāļĒāļāļēāļ.
- āļĢāļ§āļāļĢāļ§āļĄāļāđāļāļāļīāļāļāļąāļāđāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļ.
- āļāļģāđāļŠāļāļāđāļāļāļēāļŠāđāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļ.
- āļāļīāļāļāļēāļĄ KPIs āļāđāļēāļāđ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļąāđāļāļ āļēāļĒāđāļ āđāļĨāļ°āļ āļēāļĒāļāļāļ āđāļāļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē āđāļāļ·āđāļāđāļŦāđāļāļāļ Sales Order āđāļĨāļ° āļāļąāļāļŠāđāļāļŠāļīāļāļāđāļēāđāļāđāļāļēāļĄāļāļģāļāļ§āļ āđāļĨāļ°āļāļēāļĄāļĢāļ°āļĒāļ°āđāļ§āļĨāļēāļāļĩāđāļĨāļđāļāļāđāļēāļāđāļāļāļāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļ āļāļąāļāļāļē āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĢāļāļģāļāļēāļāđāļŦāđāđāļāļīāļāļāļ§āļēāļĄāļĢāļēāļāļĢāļ·āđāļāļĢāļ§āļĄāļāļķāļāđāļāļīāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļāđāļŦāļĄāđāļāļĩāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļīāđāļĄāļĄāļēāļāļāļķāđāļ.
- āļŠāļĢāđāļēāļāļāļāļāđāļāļ§āļēāļĄāļĢāļđāđāđāļŦāļĄāđāđ āđāļāļ·āđāļāđāļŦāđāđāļāļīāļāļāļąāļāļāļēāļāļēāļ (Knowledge Management).
- āļāļēāļāļāļ·āđāļāđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
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:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Creativity, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
- Laleda Tailor is seeking a creative and motivated Social Media Marketing Intern to join our team. This internship offers an exciting opportunity to gain hands-on experience in fashion branding, content creation, and social media marketing within a premium tailor-made clothing business.
- Create and schedule engaging content for Instagram, Facebook, and TikTok
- Support photo/video shoots including behind-the-scenes, styling, and product features
- Monitor social media performance and suggest optimizations
- Stay updated on trends in men s fashion and tailor-made clothing
- Coordinate with the marketing team to brainstorm new campaign ideas
- Ensure all content aligns with brand image and tone.
- University student or recent graduate in marketing, communications, fashion, or related fields
- Interest in fashion, styling, and social media
- Basic skills in Canva, CapCut, or Adobe Creative Suite
- Strong communication and organizational skills
- Able to work independently and collaborate in a small team.
- Why Join Us?.
- At Laleda Tailor, you ll gain practical experience in fashion marketing and content strategy. This is a great opportunity to build your portfolio, understand real-world brand communication, and receive mentorship in a growing business environment..
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:
3 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for achieving premium income which is generating from commercial business as per defined target GWP and perform underwriting functions according to company's policy and guidelines.This position also provide underwriting support to other distribution channels for assigned business
- Identifly business opportunitites in order to achieve defined team's target2. Make recomendations for work procedures improvement in order to improve work efficiency of the business unit3. Assist to ensure that all works under designated responsibiliti ...
- Minimum 3-5 years of experience in underwriting in non-Motor Insurance in related line of business2. Good Command of English written, speaking, reading, writing and presentaion skills3. General Insurance working background especially in Property
- Any AI-future skills e.g., ChatGPT, or CoPilot 365, will be an advantage
- AAGI
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:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
- Site Supervision & Project Execution: Oversee the execution of engineering works on-site, ensuring compliance with project plans, technical specifications, and timelines.
- Construction Quality & Safety Compliance: Ensure all construction activities adhere to local regulations, international engineering standards, and safety protocols.
- Coordination & Communication: Collaborate with project managers, contractors, and stakeholders to facilitate seamless project execution.
- Technical Review & Problem-Solving: Assess engineering designs, specifications, and reports to identify and resolve technical challenges efficiently.
- Progress Monitoring & Reporting: Track project milestones, prepare site reports, and provide updates to senior management and relevant stakeholders.
- Material & Resource Management: Coordinate with procurement teams to ensure timely availability of materials and equipment.
- Cross-Border Operations: Work across Thailand and Laos, adapting to diverse regulatory environments and work cultures.
- Stakeholder Liaison: Communicate effectively with local authorities, subcontractors, and project teams to ensure smooth operations.
- Job Qualifications.
- Bachelor s degree in Engineering(Civil, Electrical, Mechanical or Control & Instrument) or a related field.
- Minimum 5-10 years of experience in mega infrastructure or construction projects (experience in renewable energy projects is a plus but not mandatory).
- Strong knowledge of civil engineering principles, construction methodologies, and site management.
- Fluency in Chinese (Mandarin) is required; proficiency in English and Thai/Lao is an advantage.
- Willingness to work in Thailand and Lao PDR initially for about a year and then relocate permanently to Lao PDR.
- Familiarity with construction laws, permits, and regulations in both Thailand and Lao PDR.
- Strong leadership, problem-solving, and cross-cultural communication skills.
- Professional Engineering (PE) license or equivalent is a plus.
- Fluent in English both written and verbal (Minimum 750 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
E-learning, Mandarin, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļŠāļāļāļ āļēāļĐāļēāļāļĩāļāđāļāļ·āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļāļąāđāļāđāļāđāļĢāļ°āļāļąāļāļāļ·āđāļāļāļēāļāļāļāļāļķāļāļĢāļ°āļāļąāļ A2.
- āļŠāļāļāļāļāļāđāļĨāļāđāđāļŦāđāļāļąāļāļāļđāđāđāļĢāļĩāļĒāļāļ§āļąāļĒāļāļģāļāļēāļ.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļąāļāđāļāļ·āđāļāļŦāļēāļāļēāļĢāļŠāļāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļđāđāđāļĢāļĩāļĒāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļŠāļāļāļ āļēāļĐāļēāļāļĩāļ (āđāļāđāļŦāļ§āļąāļ) āļĄāļēāļāđāļāļ
- āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāđāļāđ 3 āļ āļēāļĐāļē āđāļāļĒ, āļāļąāļāļāļĪāļĐ āđāļĨāļ° āļāļĩāļ
- āđāļĄāđāļāļģāļāļąāļāļāļēāļĒāļļāđāļĨāļ°āđāļāļĻ
- āļĢāļąāļāļāļēāļĢāļŠāļāļ āđāļāđāļĒāđāļ āđāļŠāđāđāļāļāļąāļāļāļēāļāļđāđāđāļĢāļĩāļĒāļ..
- āļāđāļēāļāļāļāđāļāļ āļāļķāđāļāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ (āļāļĢāļļāļāļēāļĢāļ°āļāļļāđāļāđāļāļŠāļĄāļąāļāļĢ)..
- āļŠāļāđāļāļŠāļĄāļąāļāļĢ
- āļŠāđāļāđāļĢāļāļđāđāļĄāđāļĄāļēāļāļĩāđ [email protected]
- āđāļāļĢ. 02-3544525 āļŦāļĢāļ·āļ 088-235-1419.
- āļĄāļēāļĢāđāļ§āļĄāđāļāđāļāļŠāđāļ§āļāļŦāļāļķāđāļāđāļāļāļēāļĢāļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļāļāđāļēāļāļ āļēāļĐāļēāđāļŦāđāļāļąāļāļāļāđāļāļĒāļāļąāļāļāļ°āļāļ° .
- āļĢāļąāļāļŠāļĄāļąāļāļĢāļāļĢāļđāļ āļēāļĐāļēāļāļĩāļ #ChineseLecturer #ParttimeJob #āļāļēāļāļāļāļāđāļĨāļāđ #MedcoachRecruitment.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ18,000 - āļŋ30,000
- Respond to Level 1 support tickets via email, chat, and phone.
- Provide basic troubleshooting assistance for common product issues.
- Ensure timely acknowledgment and follow-up on all support requests.
- Maintain professional and helpful communication with customers.
- Execute established troubleshooting procedures and runbooks.
- Perform basic system health checks and monitoring.
- Assist with software installation and configuration guidance.
- Handle account setup, password resets, and basic user management.
- Log and track all customer interactions in the ticketing system.
- Participate in product training and onboarding programs.
- Shadow senior engineers during complex issue resolution.
- Attend team meetings and technical knowledge sharing sessions.
- Ask questions and seek guidance from experienced team members.
- Identify when issues require escalation to senior engineers.
- Document detailed information when escalating tickets.
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
- 0-2 years of customer service or technical support experience.
- Basic understanding of computer systems, networks, and software.
- Strong written and verbal communication skills.
- Ability to learn quickly and follow detailed procedures.
- Customer-focused mindset with patience and empathy.
- Basic familiarity with operating systems (Windows, macOS, Linux).
- Understanding of web browsers and common software applications.
- Basic knowledge of networking concepts (IP addresses, DNS, etc.).
- Comfortable using help desk and ticketing software.
- Basic command line familiarity is a plus.
- Excellent problem-solving approach and attention to detail.
- Ability to work collaboratively in a team environment.
- Willingness to work in a fast-paced, learning-oriented environment.
- Positive attitude toward helping customers and continuous improvement.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Software Testing, Automation, Git, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ25,000 - āļŋ35,000
- āļāļāļāđāļāļāđāļĨāļ°āļāļąāļāļāļē Test Plan, Test Case, āđāļĨāļ° Test Workflow āļāļĩāđāļāļĢāļāļāļāļĨāļļāļĄāļāļēāļĢāļāļģāļāļēāļāļāļāļāļĢāļ°āļāļ.
- āđāļāļĩāļĒāļāđāļĨāļ°āļĢāļąāļ Automated Test āđāļāļĒāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāđāļ Puppeteer, Selenium, Robot Framework.
- āļāļģ Load Test āđāļĨāļ° Performance Test āļāđāļ§āļĒ JMeter āļŦāļĢāļ·āļ k6.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļĢāļ°āđāļ āļāļāļāļāļāļēāļĢāļāļāļŠāļāļ āđāļāđāļ Unit Test, Function Test, Integration Test, Regression Test āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļĨāļ·āļāļāđāļāđāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāđāļāđāļĨāļ°āļāļĢāļāļĩ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļāļŠāļāļ (QA Workflow) āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļ§āļāļāļĢāļāļēāļĢāļāļąāļāļāļē (SDLC).
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĩāļĄ Dev, Product Owner āđāļĨāļ°āļāļĩāļĄāļāļ·āđāļāđ āđāļāļ·āđāļāļĢāļ°āļāļļ Scope āđāļĨāļ°āđāļāļ§āļāļēāļāļāļēāļĢāļāļāļŠāļāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļēāļĢāļāļāļŠāļāļāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āļĢāļ§āļĄāļāļķāļāļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāđāļ Bug.
- Job Skills & Qualifications.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļŠāļēāļĒāļāļēāļ QA āļŦāļĢāļ·āļ Software Testing āļāļĒāđāļēāļāļāđāļāļĒ 1-3 āļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļ Automated Test āđāļāđāđāļāđ Puppeteer, Selenium, Robot Framework.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļģ Load/Performance Test āļāđāļ§āļĒ JMeter āļŦāļĢāļ·āļ k6.
- āđāļāđāļēāđāļāđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāļĩāļĒāļ Unit Test, Function Test āđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļāļāđāļāļāđāļĨāļ°āļŠāļĢāđāļēāļ Test Workflow / QA Process āļāļĩāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļ āļĢāļāļāļāļāļ āđāļĨāļ°āļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļāļąāļāđāļāļ.
- Preferred Qualifications.
- āļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļ CI/CD (āđāļāđāļ Jenkins, GitLab CI).
- āļāļēāļĢāļāļąāļāļāļēāļĢ Version Control āļāđāļ§āļĒ Git.
- āļāļ§āļēāļĄāđāļāđāļēāđāļāļāđāļēāļ Security Testing āļŦāļĢāļ·āļ Test Coverage Tools.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāđāļ Agile/Scrum Team.
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āļŦāļēāļāļēāļāļāđāļēāļ WorkVenture āđāļāđāļāļĒāđāļēāļāđāļĢ?
āđāļ§āđāļāđāļāļāđāđāļĢāļēāļĄāļĩāļāļģāđāļŦāļāđāļāļāļēāļāļĨāđāļēāļŠāļļāļāļāļēāļāļāļĢāļīāļĐāļąāļāļāļąāđāļāļāļģāļāļ§āđāļē 1,000 āļāļĢāļīāļĐāļąāļ āļāļĩāđāļāļļāļāļŠāļēāļĄāļēāļĢāļāđāļĨāļ·āļāļāļāļēāļāļāļĩāđāļāļļāļāļŠāļāđāļāđāļāđāļāļēāļ āļŠāļēāļĒāļāļēāļ āļāļĢāļ°āđāļ āļāļāļļāļĢāļāļīāļ āļŦāļĢāļ·āļāļāđāļēāļāļļāļāļĄāļĩāļāļĢāļīāļĐāļąāļāđāļāđāļāļāļĒāļđāđāđāļĨāđāļ§āļāđāļŠāļēāļĄāļēāļĢāļāļāđāļāļŦāļēāļāļēāļāļāļ·āđāļāļāļĢāļīāļĐāļąāļāđāļāđāđāļĨāļĒ āļāļāļāļāļēāļāļāļĩāđāļāļļāļāļĒāļąāļāļŠāļēāļĄāļēāļĢāļāļŦāļēāļāļēāļāđāļāđāļāļēāļāļāļĢāļ°āđāļ āļāļāļēāļ āļāļĩāđāļĄāļĩāļāļąāđāļ āļāļēāļāļāļĢāļ°āļāļģ āļāļēāļāļāļēāļĢāđāļāđāļāļĄāđ āļāļķāļāļāļēāļ āļŦāļĢāļ·āļāđāļĨāļ·āļāļāļāļēāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļāļāđāđāļāđ
āļŦāļēāļāļēāļāđāļĨāļ°āļāļēāļāļāļĢāļ°āļ§āļąāļāļīāđāļ§āđāļāļąāļāđāļĢāļē
āļāđāļ§āļĒāđāļāļīāđāļĄāđāļāļāļēāļŠāđāļāđāļāļēāļāļāļēāļāļāļĢāļīāļĐāļąāļāđāļŦāļĨāđāļēāļāļąāđāļāđāļāļĩāļĒāļāđāļāđāļĨāļāļāļ°āđāļāļĩāļĒāļāđāļāļĒāļāļĢāļāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđ āļāđāļāļāļāļĨāļīāļāļŠāļĄāļąāļāļĢāļāļēāļ āđāļāļĒāđāļĢāļēāļĒāļąāļāļĄāļĩāļĢāļ°āļāļāđāļāđāļāđāļāļ·āļāļāļāļēāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāđāļēāļāļāļēāļāļāļĩāđāļĄāļĨ āļāļĩāđāļāļ°āļāļģāđāļŦāđāļāļļāļāđāļĄāđāļāļĨāļēāļāļāļēāļāđāļŦāļĄāđāđ āļāļĢāđāļāļĄāļāļąāđāļāļāļļāļāļĒāļąāļāļŠāļēāļĄāļēāļĢāļāļāļāđāļāđāļēāđāļāļŠāļĄāļąāļāļĢāđāļāđāđāļāļĒāļāļĢāļ āđāļĨāļ°āļāļķāļāđāļĄāđāļ§āđāļēāļāļļāļāļĒāļąāļāđāļĄāđāđāļāļāļāļēāļāļāļĩāđāđāļāđāđāļāļāļāļāļāļĩāđ āļāđāļāļĒāđāļēāļāļĨāļēāļāđāļāļāļēāļŠāļāđāļēāļāļāļēāļāļĩāļāļāļĩāđāļāļ°āļāļģāđāļŦāđāļāļļāļāđāļāđāļŦāļēāļāļēāļāđāļāļāļāļĢāļĩāđāļĄāļĩāļĒāļĄ āđāļāļĩāļĒāļāđāļāđāļāļĢāļāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāđāļāđāļēāļāļąāđāļ
Company Page āļāļ·āļāļāļ°āđāļĢ
āđāļāļĩāļĒāļāđāļāđāļāļĨāļīāļāļāļĩāđāļāļ·āđāļāļāļĢāļīāļĐāļąāļāļĢāļ°āļŦāļ§āđāļēāļāļāļĩāđāļāļļāļāļāļģāļĨāļąāļāļāļđāļāļģāđāļŦāļāđāļāļāļĩāđāļĨāļāļāļĢāļ°āļāļēāļĻāļāļēāļāļāļĒāļđāđ āļāļļāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļ āļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļĢāļīāļĐāļąāļāļāļĩāđāļāļļāļāļŠāļāđāļāđāļāļŦāļāđāļē Company Page āļāļĩāđāļĢāļ§āļĄāđāļāļēāļāđāļāļĄāļđāļĨāļāđāļēāļāđ āđāļāļĒāđāļāļāļēāļ°āļĢāļĩāļ§āļīāļ§āļāļēāļāļāļāļąāļāļāļēāļāļāļĢāļīāļāļāļĩāđāļāļģāļāļēāļāļāļĒāļđāđāļāļĩāđāļāļąāđāļ āļāļģāđāļŦāđāļāļļāļāđāļāđāļĢāļđāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāļāļāļāļāļĢāļīāļĐāļąāļāļāđāļāļāļāļāļŠāļĄāļąāļāļĢāļāļēāļ
WorkScore āļāļ·āļāļāļ°āđāļĢ
āļĢāļ°āļāļ WorkScore āļāđāļ§āļĒāđāļāļ°āļāļģāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ āļāļēāļĢāļĻāļķāļāļĐāļē āđāļĨāļ°āļāļąāļāļĐāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļāļāļāļļāļ āđāļāļĩāļĒāļāđāļāđāļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āļāļĢāļāļāđāļāļĢāđāļāļĨāđāļāļāļāļāļļāļāđāļŦāđāļāļĢāļ 80% āļāļķāđāļāđāļ āđāļāđāļēāļāļĩāđ āļāđāļāļāļŠāļĄāļąāļāļĢāļāļēāļāļāļļāļāļāđāļāļ°āļāļđāđāļāđāđāļĨāđāļ§āļ§āđāļēāļāļēāļāđāļāđāļĨāļ°āļāļģāđāļŦāļāđāļāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļāļāļāļļāļāļāļĩāđāđāļāļāļĢāđāđāļāđāļāļāđ
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
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
āļāđāļēāļ§āļŠāļēāļĢāđāļŦāļĄāđāđ