
āļāļĢāļīāļĐāļąāļ āđāļāļĢāđāļĄāđāļāļ āđāļĢāļĩāļĒāļĨāļāļĩāđ āļāļģāļāļąāļ
āđāļĄāđāļĄāļĩāļāļģāđāļŦāļāđāļāļāļēāļāļŠāļģāļŦāļĢāļąāļāļāļĢāļīāļĐāļąāļāļāļĩāđ āļāđāļāđāļāļāļĩāđāđāļāđāļāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāļāļļāļāļāļēāļāļāļ°āļŠāļāđāļ
āļāļąāļāļĐāļ°:
Data Analysis, Excel, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļķāļāļāļēāļ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- ASEAN Market Intelligence: market news scouting, report in department meeting and publish in competitive intelligence community.
- Provide support on marketing report preparation and data analysis.
- Regular exchange with ASEAN sales team to verify information, current market situation.
- General administrative tasks.
- On-site event support.
- Qualifications Undergraduate student majoring in Marketing, Business Administration, or Economics.
- Good command in English.
- Excellent critical thinking and problem-solving skills.
- Good coordination and communication skills.
- Microsoft Word, Excel, PowerPoint experience.
- Minimum 4 months internship period (starting from January 2025).
- Additional Information
- Working conditionsMonday to Friday, 8:00 am. - 5:30 pm.
- Monthly allowance.
- Vacation eligibility: 1 day / month.
- Make it happen
- Send us your application by using the I'm interested button!.
- Please include the following subject as below in your CVStart and ending dates of internship program.
- Deadline to get confirmation from Bosch.
- Due to high volume of candidates, only shortlisted candidates will be contacted.
āļāļąāļāļĐāļ°:
Social media
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Strategic Teen Activation Planning focuses on teen engagement.
- Project or Campaign Management: Supervise and manage teen marcom campaigns, including digital, social media, influencer partnerships, events, and experiential teen activation marketing.
- Strategic content creation: Oversee the creation of engaging and relevant content that resonates with teens, including online video clip creation on TikTok, IG, FB etc. Key visual design, viral content, social media posts, and blog articles if desired.
- Budget Management: Develop and manage budgets for teen marketing initiatives, ensuring cost-effective allocation of resources and maximizing ROI.
- Performance Tracking: Monitor, analyze, and report on the performance of teen marcom campaigns, using data to optimize and improve future initiatives.
- Team Management.
āļāļąāļāļĐāļ°:
Compliance, Legal, Data Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Serving as the primary point of contact for all tenant-related matters, fostering strong relationships and open communication with a diverse range of commercial tenants.
- Ensuring seamless day-to-day operations by addressing tenant inquiries, concerns, and requests in a timely and professional manner.
- Collaborating with the property management team to develop and implement tenant engagement initiatives, such as events and promotional activities, to drive footfall and ...
- Monitoring tenant compliance with lease agreements and property policies, and working closely with the legal team to resolve any disputes or issues.
- Analysing tenant data and market trends to identify opportunities for tenant mix optimisation, lease renewals, and new tenant recruitment.
- Supporting the property management team in the execution of strategic initiatives, such as the implementation of new technologies or the development of new services for tenants.
- What we're looking for.
- A minimum of 5 years of experience in a tenant relations or property management role, preferably within the commercial retail or mixed-use property sector.
- Excellent communication and interpersonal skills, with the ability to effectively liaise with a diverse range of stakeholders, including tenants, property managers, and senior leadership.
- Strong analytical and problem-solving skills, with the ability to identify and address tenant-related issues proactively.
- Proficiency in using property management software and data analysis tools to track and report on key performance indicators.
- A proven track record in developing and implementing tenant engagement strategies that drive customer satisfaction and retention.
- A customer-centric mindset, with a commitment to delivering exceptional service and fostering positive relationships with tenants.
- What we offer
- Siam Paragon Development Co., Ltd is committed to creating a dynamic and supportive work environment that enables our employees to thrive. We offer a competitive remuneration package, comprehensive benefits, and ample opportunities for professional development and career growth. Our focus on work-life balance and employee wellbeing ensures that our team members can achieve their full potential while maintaining a healthy and fulfilling lifestyle.
- About us
- Siam Paragon Development Co., Ltd. is a leading real estate and property management company in Thailand, renowned for developing and managing some of the country's most prestigious commercial and mixed-use properties. With a focus on innovation, sustainability, and customer-centric service, we are committed to creating exceptional experiences for our tenants, visitors, and the communities we serve.
- If you are passionate about the real estate industry and eager to contribute to the growth and success of a dynamic, market-leading organisation, we encourage you to apply for this exciting Tenant Relations Manager role at Siam Premium Outlets Bangkok.
āļāļąāļāļĐāļ°:
Data Analysis, Statistical Analysis, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļģāđāļŦāļāđāļ āļĢāļāļāļāļđāđāļāļģāļāļ§āļĒāļāļēāļĢāļāđāļēāļĒ (VP) āđāļĨāļ°āļŦāļąāļ§āļŦāļāđāļēāļŠāđāļ§āļ (AVP).
- āļāļēāļāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāđāļāļ·āđāļ (Loan Origination)
- āđāļāđāļāļĻāļđāļāļĒāđāļāļĨāļēāļāļāļąāļāļāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļģāļŦāļāļāļŠāļīāļāļāļīāđāđāļĨāļ°āļĢāļ°āļāļąāļāļāļēāļĢāđāļāđāļēāđāļāđāļāļēāļāļĢāļ°āļāļ
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļāļđāđāđāļāđ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļ IT āđāļāļ·āđāļāđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāļāļļāļāļāđāļēāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļāļ āļāļĨāļāļāļāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāļĢāļ°āļāļāļāļēāļ
- āļāļģāļŦāļāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāļĢāļ°āđāļāļĩāļĒāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļāđāļēāļāļāļīāļ āđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāđāđāļāđāļŦāđāđāļāđāļāļāļąāļāļāļļāļāļąāļāļāļĒāļđāđāđāļŠāļĄāļ
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļđāđāđāļāđāļĢāļ°āļāļ āđāļĨāļ°āļāļģāļŦāļāļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāđāļāļĢāļ°āļāļāļāļēāļāđāļŦāđāļāļđāļāļāđāļāļ
- āļāļĢāļīāļŦāļēāļĢāļāđāļāļĄāļđāļĨāļāļĩāđāļĄāļĩāļāļĒāļđāđāđāļāļĢāļ°āļāļāđāļāļ·āđāļāļāļģāļĄāļēāđāļāđāđāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāļāļĨāļāļēāļ/āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļŦāđāļāļąāļāļāļāļēāļāļēāļĢ
- āļāļēāļāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ.
- āļŠāļĢāđāļēāļāđāļĨāļ°āļāļđāđāļĨāļāļąāļāļāļēāļĢ Data Pipeline Architecture āđāļŦāđāđāļāļīāļāļāļĢāļ°āđāļĒāļāļāđāļŠāļđāļāļŠāļļāļ
- āđāļŦāđ Requirement IT āļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļāļēāļāļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨāļāļāļāļāļāļēāļāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļĨāļ°āļĢāļ°āļāļāļāļēāļāļāđāļēāļāđāđāļāļ·āđāļāļāļąāļāļāļģ āđāļĨāļ°āļāļđāđāļĨ
- Datamart āđāļŦāđāļĄāļĩāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāđāļāļāļąāļāļāļļāļāļąāļ āđāļĨāļ°āļŠāļĄāļāļđāļĢāļāđāļāļĢāđāļāļĄāđāļāđāļāļēāļ āđāļāđāļ āđāļāđāđāļāļāļēāļĢāļāļąāļāļāļē āļāļāļŠāļāļāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļāļāļģāļĨāļāļ āđāļĨāļ°āđāļāđāđāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŠāļīāļāđāļāļ·āđāļāļāļļāļĢāļāļīāļ
- āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāđāļŦāđāļāđāļāļĄāļđāļĨāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āļŠāđāļāļŦāļāđāļ§āļĒāļāļēāļāļāļ·āđāļ
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļąāđāļāļāļĢāļąāļāļāļĢāļļāļāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļāļđāļāļāđāļāļāļāđāļēāđāļāļ·āđāļāļāļ·āļ
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļŠāļīāļāļāļīāđāļāļēāļĢāđāļāđāļēāļāļķāļāļāļēāļĢāđāļāđāļāđāļāļĄāļđāļĨ (āđāļāļāļēāļ°āļĢāļ°āļāļāļāļēāļāđāļĨāļ° Datamart āļāļĩāđāļāđāļēāļĒāļŊ āđāļāđāļ owner)
- āļāļąāļāļāļģāļāļđāđāļĄāļ·āļāļĄāļēāļāļĢāļāļēāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (SOP) āđāļĨāļ°āļāļđāđāļĄāļ·āļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ (User Manual) āļāļāļāļŦāļāđāļ§āļĒāļāļēāļ
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāđāļēāļāļāļēāļĢāļāļāļąāļāļāļ āđāļĨāļ°āļāļķāļāļāļāļĢāļĄ āļāļāļāļĢāļ°āļĄāļēāļ āļāđāļēāđāļāđāļāđāļēāļĒ āļŠāļēāļĢāļāļĢāļĢāļ āđāļĨāļ°āļĢāļ§āļāļĢāļ§āļĄāđāļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ
- āļāļāļīāļāļąāļāļīāļŦāļāđāļēāļāļĩāđāļāļ·āđāļāđāļāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāđāļāļāļēāļāļāđāļēāļ Project Management
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļēāđāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļāļāļļāļĢāļāļīāļāļāļāļēāļāđāļŦāļāđ
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļĩāđāļāļģāđāļāđāļāļāđāļ model development āđāļĨāļ° maintenance āđāļāđāđāļāđ āļāļ§āļēāļĄāļĢāļđāđāđāļāļĩāđāļĒāļ§āļāļąāļāļāļēāļĢāļāļąāļāļāļēāđāļāļāļāļģāļĨāļāļāđāļĨāļ°āļŠāļāļīāļāļī (Modelling, Statistics) āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļāļēāļāđāļŦāļāđ (Data Analytics, Big Data) āđāļĨāļ° computer programming (e.g. Data Science) āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļĒāđāļēāļāļāđāļāļĒāļāļĒāđāļēāļāđāļāļāļĒāđāļēāļāļŦāļāļķāđāļ āļāđāļāđāļāļāļĩāđ āđāļāđāļ āđāļāļāļāļģāļĨāļāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ (Credit Risk Modelling, IFRS9, Basel, Credit Rating, Credit Pricing Model) āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāđāļēāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļŠāļīāļāđāļāļ·āđāļ (Credit Risk Analysis)āļāļ§āļēāļĄāļĢāļđāđāļāļēāļāļāđāļēāļāđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđāļāļēāļĢāđāļāļīāļāđāļĨāļ°āđāļĻāļĢāļĐāļāļāļīāļāļĄāļŦāļ āļēāļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ (MIS, Data
- Engineering)
- āļĄāļĩāļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāđāļāļāļķāđāļāđāļ āļāđāļēāļ Statistics, Econometrics, Data Science, Data Analytics, Computer Science, Computer Engineering, Operational Research, Risk Analytics/Modelling, Mathematical Finance, Financial Engineering, Economics, MIS āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ
- āļāļąāļāļĐāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļīāđāļĻāļĐāļāļ·āđāļ āđ
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļĢāļ°āļāļąāļāļāļĩāļŦāļĢāļ·āļāļāļĩāļĄāļēāļ
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄāđāļĨāļ°āļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģāđāļŠāļāļāļāļĨāļāļēāļāļāļĩāđāļāļĩ
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ āđāļāđāļ āđāļāļĢāđāļāļĢāļĄ SAS, SQL, Machine Learning, Deep Learning, MS āđāļāļīāļāļĨāļķāļ āđāļĨāļ° Python āđāļāđāļāļāđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļŠāļĢāđāļēāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļēāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- 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°:
Publishing, Teamwork, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ18,000 - āļŋ20,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Assist in setting up and publishing campaign content on the CMS platform (e.g., STRAPI or similar systems).
- Arrange and update homepage banners and campaign modules according to the provided campaign calendar and priority sequence.
- Support urgent banner rearrangements and module adjustments during campaign pre-launch and live periods.
- Perform basic content checks to ensure correct linking, sequencing, and module visibility across different languages (TH/EN).
- Coordinate with internal teams (design, trade-marketing, and tech teams) to ensure timely go-live of campaign assets.
- Monitor live pages post-update to verify accuracy and functionality; flag any issues for immediate correction.
- Operate on a shift-based schedule, with required availability during evenings and weekends to support timely campaign launches.
- Maintain good documentation of execution tasks and version tracking for all updates performed.
- RequirementsBachelor s degree in Marketing, Business, Communications, or related fields.
- Basic understanding of CMS tools or eagerness to learn (training will be provided).
- Detail-oriented with a high sense of responsibility and commitment to deadlines.
- Flexibility to work late hours and operate on a shift-based schedule during key campaign periods.
- Strong teamwork, communication, and problem-solving skills.
- Basic to Intermediate English proficiency for reading instructions and CMS system navigation.
- Previous experience in e-commerce, marketing, or digital content management is preferred.
āļāļąāļāļĐāļ°:
Research, Employer Branding, Branding, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Source and find candidates qualified for open positions.
- Perform analysis of hiring needs and provide employee hiring forecast.
- Design, plan and execute selection processes (conduct interviews and screening calls, administer psychological tests etc.).
- Plan procedures for improving the candidate experience.
- Use sourcing methods for hard-to-fill roles.
- Provide recruitment counsel and guidance to line managers.
- Design the selection matrix for choosing the optimum recruitment channel and recruitment source.
- Overall handle end to end recruiting functions, getting requirements, job posting, coordinate with line manager for shortlisting candidates scheduling interviews, make offer, on-boarding and work collaboratively across the teams to ensure full service is provided to candidates and line manager.
- Conduct interviews; manage the candidate interviews including obtaining feedback and other recruitment related activities.
- Explore best market practice in key talent recruitment and staffing, implement best practices in organizations.
- Proactively seek market intelligence to gain a competitive advantage in attraction, assessment and sourcing methodologies.
- To setup external networks and activities in order to attract the key talent.
- To administrate recruitment data and to regularly report to line management in order to increase the efficiency and quality of the recruitment operations.
- Research talent acquisition trend in staffing industry.
- Manage respective candidate pools to ensure qualified candidates remain engaged in current or future opportunities.
- Other as assigned.
- Bachelor's degree or higher.
- At least 5 years direct experience in recruitment/ talent acquisition, either from corporates or recruitment/headhunter agencies.
- Minimum 2 years of experience in Employer Branding planning and execution with proven track record.
- Familiar & strong background knowledge in recruitment & selection tools & techniques.
- Very good communication skill, customer-centric, team-work, and ability to execute jobs within SLA.
- Good command of English.
āļāļąāļāļĐāļ°:
Automation, Big Data, Accounting
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
- Collaborate with IT to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements.
- Oversee initiatives for improving data management process.
- Mentor and coach team members on data management methodologies.
- Evaluate the performance of data systems and seek ways to enhance them.
- Troubleshoot and authorize the maintenance of data-related problems.
- Support team members in their day-to-day duties.
- BS degree in any fields.
- Proven working experience as Big Data Analytics.
- Proven knowledge of Data analytics and Report.
- Advanced computer skills on MS Office, accounting software and databases.
- Ability to manipulate large amounts of data.
- Ability to direct and supervise.
āļāļąāļāļĐāļ°:
Negotiation, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop campaigns for tenants such as Special Deals/Promotion to generate more traffic and revenue.
- Able to provide information about promotions in Viz Privilege and One Siam Super App to tenants.
- Organize marketing related activities to boost sales for tenants.
- Create content and select media channels to promote tenants movement.
- Coordinate with internal departments regarding the installation of promotional materials for retailers.
- Regularly meet with tenants to discuss marketing strategies.
- Bachelor's degree in Business Administration, Management/Marketing, or related fields.
- At least 2-3 years of experience in tenant services within shopping centers.
- Good personality, a passion for customer service, and strong negotiation skills.
- Proficient in MS Office.
- Able to communicate in English.
- Ability to read construction plans will be an advantage.
- Work 5 days a week (Monday - Friday).
āļāļąāļāļĐāļ°:
Statistics, Data Analysis, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
- Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
- Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
- Machine Learning & AI.
- Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
- Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
- Problem-Solving & Collaboration.
- Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
- Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
- Technical Expertise.
- Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
- Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
- Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
- Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
- Education & Experience.
- Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
- Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.
āļāļąāļāļĐāļ°:
UNIX, Linux
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ35,000 - āļŋ50,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for Monitor and analyze Server performance, Operating System and ensure efficient utilization of Server Hardware.
- Responsible for performance tuning and corrective maintenance to assure that Server Hardware, OS and Network Connection is performing efficiently
- Installing and upgrading UNIX / Window system software on company servers and computers.
- Creating UNIX / Windows file systems.
- Setting up and maintaining UNIX / Windows user accounts and access management systems.
- Implementing network and computer system policies.
- Detecting and troubleshooting software and hardware issues.
- Responding to user requests and software errors.
- Monitoring the performance of the system and server.
- Creating backup and recovery policies.
- Setting up and monitoring security policies.
- Applying patches and upgrades when necessary.
- At least 5 years experience as a UNIX/Window system administrator.
- Bachelor s degree in computer science, computer engineering, or a similar field.
- Knowledge of UNIX, LINUX and Windows operating systems, storage environments, file systems, and network protocols.
- Detailed knowledge of UNIX/Window principles, file editing, UNIX commands, and file manipulation.
- Familiarity with Windows, UNIX, LINUX, and LINUX shell scripting.
- Knowledge of networking principles including routing, subnets, TCP, IP, VLANs, and UDP.
- Understanding of backup procedures and storage management.
- In-depth knowledge of computer hardware systems including circuit boards, memory modules, and processors.
- Excellent troubleshooting skills.