เงื่อนไขการค้นหา

ทักษะ:

Statistics, Industrial Engineering

ประเภทงาน:

งานประจำ

• Monitor sales performance and forecast deviations.
• Analyze demand drivers and improve forecast assumptions.
• Maintain rolling forecasts and demand planning models.
• Measure and improve Forecast Accuracy and Forecast Bias.
• Viral Trend & Market Intelligence Monitoring.
• Monitor viral trends across TikTok Shop, Shopee, Lazada, Facebook, and other channels.
• Track consumer sentiment, search trends, and social signals.
• Identify demand risks and opportunities before sales spikes occur.
• Provide early warning alerts for potential demand surges or declines.
• Support commercial teams with market intelligence insights.
• Affiliate & Commercial Analytics.
• Track affiliate and influencer performance by campaign.
• Analyze sales contribution and ROI of key affiliates.
• Estimate demand impact from planned affiliate activations.
• Evaluate effectiveness of affiliate and social commerce programs.
• Recommend forecast adjustments based on affiliate activities.
• Promotion & Campaign Forecasting.
• Develop uplift assumptions for campaigns and promotions.
• Forecast demand for mega campaigns, flash sales, and TikTok Live events.
• Evaluate campaign forecast accuracy and lessons learned.
• Work closely with Marketing and Commercial teams on demand planning.
• Ensure demand readiness for key business events.
• New Product Launch Forecasting.
• Develop launch forecasts using market benchmarks and historical analogs.
• Incorporate distribution, pricing, media investment, and affiliate plans.
• Track post-launch performance and refine assumptions.
• Monitor product adoption and repeat purchase trends.
• Support successful product launches with data-driven insights.
• Demand Risk & Opportunity Management.
• Identify forecast risks, stock-out risks, and upside opportunities.
• Recommend mitigation actions to Supply Chain and Commercial teams.
• Quantify business impact from forecast changes.
• Balance growth opportunities with supply capabilities.
• Escalate critical demand changes in a timely manner.
• Demand Review & S&OP Support.
• Lead weekly demand review meetings.
• Present demand trends, forecast performance, and key assumptions.
• Provide recommendations for inventory and supply planning.
• Support monthly S&OP process.
• Drive action closure and forecast governance.
• Bachelor's Degree 0r Master's Degree (MBA or Analytics) is an advantage Major Supply Chain Management, Logistics, Business Administration, Economics, Statistics, Industrial Engineering, Marketing Analytics, or related field.
• 3-5 years of experience in Demand Planning, Demand Sensing, Sales Forecasting, Commercial Analytics, Business Analytics, or S&OP.
• Experience in FMCG, Personal Care, Health & Beauty, Consumer Goods, Retail, E-commerce, or Omnichannel businesses.
• Proven experience managing promotional forecast planning and demand forecasting.
• Experience supporting TikTok Shop, Shopee, Lazada, Website, Modern Trade, and Distributor channels.
• Exposure to affiliate marketing and influencer-driven demand patterns.
• Experience in New Product Launch forecasting.
• Experience participating in S&OP processes.
• Experience working in a high-growth or startup environment Preferred Knowledge - TikTok Shop ecosystem - Affiliate marketing models - Viral trend detection tools - Social listening platforms - Consumer behavior analytics.

ทักษะ:

Statistics, Big Data, Python

ประเภทงาน:

งานประจำ

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Statistics, Safety Management

ประเภทงาน:

งานประจำ

• Arranging and conducting proper training on safety issues for staff at construction sites.
• Working with all managers to ensure proper safety equipment and protection systems are available and able to used.
• Monitoring the investigation of accidents and reviewing accidents and statistics pertaining to such with the management so that corrective action may be applied and assessed for health, safety and the environment.
• Reviewing with all managers on safety & security policies/ procedures to ensure that they are effective and workable.
• Compiling and returning accident statistics to the SH&E manager and plant manager.
• Auditing, analyzing, and collating environmental performance data and using information to drive continuous improvement.
• Ensuring that there is suitable emergency procedures and equipment in place for dealing with emergencies such as fires and spillages.
• Bachelor's degree or higher in Safety, Health, and Environment or related fields.
• Minimum 3 years' experience in environmental management and safety management system or related fields (New graduate who is a high - potential and seeking a challenging job is also welcome).
• Knowledge of environmental impact assessment (EIA), SHE management system, and SHE Law.
• Experience in construction work of power plant / solar farm/wind farm would be an advantage.
• Ability to control safety on the construction sites.
• Strong leadership and excellent communications.
• Be able to work 6 days per week.
• Good command in English (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Electronics, Statistics, Excel

ประเภทงาน:

ฝึกงาน

• we encourage you to apply early.
• Support daily platform operations across Fashion, Electronics, and FMCG clusters, ensuring smooth campaign and program execution.
• Update and maintain operational trackers, dashboards, and data files to support category teams and management reporting.
• Monitor seller and brand registration progress for campaigns, flagging gaps and following up with relevant stakeholders to ensure on-time completion.
• Respond to operational questions from internal teams, escalating where needed.
• Pull and consolidate data from internal tools to support performance tracking and post-campaign recaps.
• Support ad-hoc operational tasks, project execution, and process improvements as required.
• Currently pursuing or recently completed a Bachelor's degree in Business, Marketing, Economics, Statistics, or a related field.
• Strong Excel skills, including pivot tables, VLOOKUP/XLOOKUP, and basic formulas.
• Comfortable interacting with multiple stakeholders.
• Detail-oriented with strong follow-through on time-sensitive tasks.
• Quick learner - able to pick up data pulling and platform tools after 1 - 2 walkthroughs.
• Available to commit at least 4 - 5 days per week for a minimum of 3 months.
• Preferred Qualifications.
• Familiarity with e-commerce, or similar marketplace platforms as a user.
• Genuine interest in e-commerce, digital marketing, or platform business models.
• If you have any questions, please reach out to us at [email protected].

ทักษะ:

Excel, Power BI, Statistics

ประเภทงาน:

ฝึกงาน

• we encourage you to apply early.
• Analyze business, media, and e-commerce performance data to extract insights across all products, providing support for strategic decision-making reviews & reporting.
• Utilize fundamental tools such as Excel, as well as business intelligence platforms like Looker Studio, and Power BI, to create and maintain data dashboards and reports.
• Collaborate with cross-functional teams, including media and e-commerce departments, to identify data requirements and regularly deliver performance analysis results.
• Identify repetitive and manual data tasks, drive process automation, and optimize data processing workflows.
• Conduct data quality checks to ensure consistency and accuracy in reporting.
• Build and maintain scalable, user-friendly data tools and templates (such as reports, trackers, evaluation benchmarks, etc.) to empower the team to respond efficiently to client needs.
• Co-drive strategic project(s) that lead to business impact.
• Currently pursuing an Undergraduate/Master in business, data science, economics, statistics, engineering, or a related field.
• Experience or strong interest in data visualization tools (Looker Studio, Tableau, Power BI, etc.).
• Eager to learn and comfortable working with large data sets and multiple stakeholders.
• Self-starter with a proactive attitude and the ability to manage multiple tasks simultaneously.
• Preferred Qualification(s).
• Strong analytical skills and proficiency in Excel/Sheets; familiarity with SQL, Python, or other scripting languages is a plus.
• Interest in media, e-commerce, or digital platforms is a bonus.
• 6 month commitment.
• If you have any questions, please reach out to us at [email protected].

ทักษะ:

Statistics, Marketing Strategy, SQL

ประเภทงาน:

งานประจำ

• Develop analytical frameworks to evaluate business performance across key marketing and commercial initiatives.
• Analyze complex business and marketing data to generate actionable insights that support strategic decision-making and drive business growth.
• Build and maintain business dashboards and reporting tools, enabling stakeholders to effectively monitor campaign performance and key business metrics.
• Partner with business leaders to identify growth opportunities and translate data into strategic recommendations.
• Campaign Performance & ROI Optimization.
• Monitor and evaluate campaign investments, promotional strategies, and seller budget utilization to maximize marketing effectiveness and business ROI.
• Identify performance gaps and recommend optimization strategies to improve campaign efficiency, budget allocation, and commercial outcomes.
• Deliver regular business performance reviews, campaign forecasting, ROI analysis, and executive-ready recommendations to key stakeholders.
• Support major platform campaigns by providing performance tracking, business insights, and strategic recommendations throughout the campaign lifecycle.
• Cross-Functional Strategy & Business Partnership.
• Partner closely with Data Science and Analytics teams to design and improve automated reporting solutions and performance measurement frameworks.
• Collaborate with Campaign, Marketing, Category, Commercial, Creator Operations, and Product teams to identify business opportunities and optimize future marketing initiatives.
• Serve as a strategic business partner by providing analytical support and influencing cross-functional decision-making through data-driven insights.
• Drive continuous improvements in business performance through strong collaboration across local and regional teams.
• Team Leadership & Strategic Project Management.
• Lead and develop a team of strategy and business analytics professionals, fostering a culture of curiosity, ownership, collaboration, and continuous learning.
• Set team priorities and provide strategic direction based on business objectives, growth opportunities, and organizational priorities.
• Drive cross-functional strategic initiatives while ensuring alignment across stakeholders and effective execution of key business projects.
• Promote knowledge sharing, analytical excellence, and best practices to improve overall business outcomes.
• Bachelor's degree or above in Business, Economics, Marketing, Statistics, Data Analytics, or a related field.
• 4+ years of experience in business strategy, commercial strategy, business analytics, management consulting, marketing strategy, or related functions.
• Strong analytical skills with advanced proficiency in Microsoft Excel for handling large and complex datasets.
• Experience using business intelligence and data visualization tools such as SQL, Python, R, Tableau, or similar analytical platforms.
• Strong problem-solving, stakeholder management, and project management capabilities with the ability to influence cross-functional teams.
• Excellent communication skills with the ability to present data-driven insights to senior stakeholders.
• Experience in e-commerce, digital platforms, marketplaces, technology, consulting, or high-growth internet companies.
• Experience supporting large scale marketing campaigns, growth initiatives, or commercial strategy projects.
• Familiarity with dashboard development, business intelligence reporting, and performance measurement frameworks.
• Ability to balance strategic thinking with hands-on execution in a fast-paced and dynamic environment.

ทักษะ:

Statistics, Compliance

ประเภทงาน:

งานประจำ

• Plan, arrange, and conduct comprehensive safety training sessions for all staff at the hydropower project site.
• Collaborate closely with project managers and site leaders to ensure all safety equipment and protective systems are available, functional, and properly used.
• Monitor and lead investigations of workplace accidents; analyze incident statistics and recommend corrective and preventive measures to improve site health, safety, and environmental standards.
• Regularly review and update safety and security policies and procedures with all management teams to ensure their effectiveness and compliance with project requirements and local regulations.
• Compile and report accident and incident data to the SH&E Manager and Project Director, ensuring transparency and timely corrective actions.
• Conduct regular audits and analyze environmental and safety performance data, using findings to drive continuous improvement initiatives.
• Ensure that effective emergency response procedures and appropriate equipment are in place to handle emergencies such as fires, floods, or chemical spills.
• Job Qualifications.
• Bachelor's degree or higher in Safety, Health and Environment or related fields.
• Minimum 15 years' experience in safety and environmental management systems, preferably in construction or infrastructure projects.
• Knowledge of environmental impact assessment (EIA), SHE management system and SHE Law.
• Experience in construction work of EPC/power plant/solar farm/wind farm or hydro power would be an advantage.
• Ability to control safety in construction sites.
• Strong leadership and excellent communication.
• Be able to work permanently outside of Thailand for an international project (additional benefits provided).
• Good command in English (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

ทักษะ:

Digital Marketing, Statistics, Python

ประเภทงาน:

งานประจำ

• Bachelor's Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
• Proficiency in some of the following: Python, PySpark and SQL etc.
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ทักษะ:

Statistics, Power BI, Tableau, English

ประเภทงาน:

ฝึกงาน

• 50% of the role focuses on tracking and monitoring project performance metrics, ensuring data is complete, accurate, and up to date.
• Work closely with cross-functional (xFN) teams and stakeholders to collect, validate, and consolidate data for regular performance reporting.
• Prepare and maintain performance reports, trackers, and dashboards to support business reviews and operational decision-making.
• 50% of the role focuses on managing operational requests and tickets, including coordinating with relevant stakeholders to follow up and drive timely resolution.
• Identify operational issues, data discrepancies, and recurring requests, and work with relevant teams to improve processes and operational efficiency.
• Maintain organized documentation, trackers, and operational workflows to ensure smooth day-to-day execution.
• Support ad hoc operational initiatives and projects that contribute to team efficiency and business performance.
• Currently pursuing an Undergraduate in Business, Economics, Data Analytics, Statistics, Engineering, or a related quantitative field.
• Proficiency in the following languages: English and Thai.
• Fluency in written and spoken Thai is mandatory for managing stakeholders in Thai-speaking markets.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Comfortable working with data and multiple stakeholders across different functions.
• Proficient in Microsoft Excel or Sheets; experience with data visualization tools such as Looker Studio, Power BI, or Tableau is a plus.
• Strong communication and coordination skills, with the ability to follow up effectively with stakeholders.
• Self-motivated, organized, and able to manage multiple tasks in a fast-paced environment.
• Preferred Qualification(s).
• Experience with data analysis, reporting, dashboard creation, or operational project coordination.
• Familiarity with SQL, Python, or other data-related tools is a plus.
• Interest in digital platforms, advertising, media, or the technology industry is a bonus.
• Start as soon as possible, 6 months commitment.
• Per week attendance: 4-5 days.
• If you have any questions, please reach out to us at [email protected].

ทักษะ:

Statistics, Multitasking, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์และบูรณาการข้อมูลจากหลากหลายแหล่ง เช่น ข้อมูลลูกค้า ข้อมูลทางการตลาด และข้อมูลคู่แข่ง เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์ในการริเริ่มและพัฒนาโครงการ.
• ประเมินความเป็นไปได้และโอกาสความสำเร็จของโครงการ พร้อมนำเสนอแนวทางในการปรับปรุง ปรับเพิ่ม หรือลดรูปแบบโครงการให้สอดคล้องกับข้อมูลและเป้าหมายทางธุรกิจ.
• ใช้ข้อมูลเชิงลึกในการคาดการณ์ผลลัพธ์ของโครงการ (Performance & Outcome) และจัดทำข้อเสนอแนะเชิงกลยุทธ์สำหรับผู้บริหารและผู้มีส่วนเกี่ยวข้อง.
• ติดตาม วัดผล และประเมินความสำเร็จของโครงการ พร้อมสรุปข้อค้นพบและข้อเสนอแนะเพื่อการพัฒนาอย่างต่อเนื่อง.
• รับผิดชอบการวิเคราะห์และขับเคลื่อนโครงการหลัก Service Champion เพื่อยกระดับคุณภาพการให้บริการของพนักงาน และสร้างประสบการณ์ที่ดีแก่ลูกค้า.
• สำเร็จการศึกษาระดับปริญญาตรีในสาขา Data Science, Statistics, Computer Engineering, Information Technology, Data Management หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานด้าน Data Analytics, Business Intelligence หรือ Data Strategy อย่างน้อย 8 - 12 ปี.
• มีประสบการณ์ในการบริหารทีมงานด้านข้อมูล หรือการบริหารโครงการด้านกลยุทธ์ข้อมูลอย่างน้อย 3 - 5 ปี.
• มีประสบการณ์ทางด้านการบริหารยอดขาย และการตลาด (คุณสมบัติจำเป็น).
• มีประสบการณ์ในธุรกิจค้าปลีก ร้านอาหาร ธุรกิจน้ำมัน หรือธุรกิจอาหารและเครื่องดื่ม (F&B) (คุณสมบัติจำเป็น).
• มีทักษะในการทำงานหลายด้านพร้อมกัน (Multitasking) มีภาวะผู้นำ และมีทักษะในการบริหารจัดการทีมที่ดี.
• มีความสามารถในการคิดเชิงกลยุทธ์และเชิงระบบ โดยสามารถเชื่อมโยงการดำเนินงานเข้ากับกลยุทธ์ทางธุรกิจได้อย่างมีประสิทธิภาพ.
• มีความเชี่ยวชาญในการใช้ Power BI รวมถึงเครื่องมือและโปรแกรมด้านการวิเคราะห์ข้อมูลอื่น ๆ ได้เป็นอย่างดี (คุณสมบัติจำเป็น).
• สามารถนำเครื่องมือวิเคราะห์ข้อมูลมาใช้ในการประมวลผล วิเคราะห์ และสรุปผลเชิงลึก เพื่อสนับสนุนการตัดสินใจทางธุรกิจอย่างมีประสิทธิภาพ.
• มีความเข้าใจในการจัดการข้อมูล การสร้างรายงาน และการนำเสนอข้อมูลในรูปแบบที่ชัดเจน เหมาะสมต่อผู้บริหารและผู้มีส่วนเกี่ยวข้อง.
• สามารถทำงานในประเทศไทยได้อย่างถูกต้องตามกฎหมาย.
• สามารถเดินทางไปปฏิบัติงานต่างจังหวัดได้ตามที่ได้รับมอบหมาย.

ทักษะ:

Statistics, SQL, Python

ประเภทงาน:

งานประจำ

• Bachelor's or Master's degree in Data Science, Statistics, Economics, Engineering, Computer Science, Business Analytics, Finance or related fields.
• 2+ years of experience in data analyst, BI or related analytic role.
• Strong proficiency in SQL, including complex joins, CTEs, window functions, aggregations, and large-scale data manipulation.
• Hands-on experience with Python for analytics and automation, particularly Pandas or equivalent data-processing libraries.
• Ability to translate an ambiguous business problem into an analytical framework and measurable hypotheses.
• Strong analytical thinking with the ability to identify patterns, drivers and business implications, rather than simply reporting numbers.
• Experience developing dashboards, data visualization and automated reporting.
• Practical experience using Generative AI / LLM tools as part of an analytics or productivity workflow.
• Preferred Qualifications.
• Experience with banking, financial services, digital products, customer analytics, or transaction data.
• Experience working with high-volume transactions or customer-level datasets.
• Experience developing automated analytics pipelines or reusable analytical tools.
• Why Join the BI Team?.
• You will work at the heart of Thailand's digital ecosystem, impacting the lives of millions. You will have the opportunity to move beyond standard reporting into high-level strategy and explore the frontiers of AI-assisted analytics in a supportive, forward-thinking environment.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Statistics / Analysis, English, Mandarin

ประเภทงาน:

งานประจำ

• ให้คำแนะนำและวางแผนการเรียนที่เหมาะสมกับความต้องการของลูกค้า.
• นำเสนอและปิดการขายคอร์สเรียน.
• Follow-up และดูแลลูกค้าอย่างต่อเนื่อง.
• ประสานงานและสนับสนุนงานด้าน Admin.
• พูดคุยและสร้างความสัมพันธ์ที่ดีกับลูกค้า.
• เจรจาต่อรองและนำเสนอสินค้า/บริการอย่างมีประสิทธิภาพ.
• รับผิดชอบงานที่ได้รับมอบหมายและติดตามงานจนสำเร็จ.
• กล้าพูด กล้าโทร และสามารถสื่อสารกับลูกค้าได้อย่างมั่นใจ.
• มีมนุษยสัมพันธ์ดี เข้ากับผู้อื่นได้ง่าย.
• มีทักษะการสื่อสาร การเจรจา และการขาย.
• ทำงานเป็นระบบ มีความละเอียดรอบคอบ.
• มีความรับผิดชอบและติดตามงานได้ดี.
• เรียนรู้เร็ว และพร้อมเปิดรับสิ่งใหม่ ๆ.
• สามารถทำงานร่วมกับทีมและช่วยเหลืองานส่วนกลางได้.
• เวลาทำงาน.
• กะที่ 1: 09.30 - 19.00 น.
• กะที่ 2: 11.00 - 20.30 น.
• หยุด 6 วัน / เดือน.
• สถานที่ทำงาน.
• เพชรเกษม 81
• อาคารศิริเลิศ ปากทางพุทธมณฑล สาย 3.
• เมื่อผ่านทดลองงาน สามารถสลับทำงาน Work From Home (WFH) ได้.
• สนใจร่วมงานกับ Best Tutor.
• หากคุณเป็นคนที่ ชอบพูดคุยกับผู้คน ชอบงานขาย มีความรับผิดชอบ และพร้อมเติบโตไปกับทีม
• สามารถส่ง Resume หรือแนะนำตัวเข้ามาได้เลยค่ะ.
• LINE: @besttutor
• Tel: 093-589-5396 (K.เดียร์).

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Business Statistics / Analysis, Management, Thai, English

ประเภทงาน:

งานประจำ

• Communication Bridge: Translate and facilitate communication between the English-speaking Plant Manager and Thai employees/suppliers.
• Production Support: Assist in monitoring production schedules, particularly for CNC turning milling, and assembly lines.
• Quality & Documentation: Support Quality Management activities and handle industrial licensing, export documentation (e.g., Form CO), and supplier response reports.
• Operations Coordination: Assist in local procurement, logistics coordination, and administrative tasks related to factory licenses (e.g., Health Hazardous Business License).
• Direct Hire (No Fees!).
• Modern Culture: Dynamic & Inclusive team.
• Work-Life Balance: 1 Day Work-From-Home per week.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Good Communication Skills, Problem Solving, Business Statistics / Analysis, Teamwork, Project Management, Thai, English

ประเภทงาน:

งานประจำ

• Coordinate with internal and external stakeholders for the flawless execution of projects.
• Ensure that all projects are delivered on-time, within its scope and expected result.
• Develop a detailed project plan to monitor and track project performance, specifically to analyze the successful completion of short and long-term goals, and able to see or sense of the preventive problem and proactively prevent it.
• Evaluating the success of the project against its benchmarking and sharing lessons or best practice with other organizations or project managers.
• Balance the relationship with the client and all stakeholders.
• Age 25-35 years old.
• A Bachelor's degree in any field especially in Human Resource, Business management, IT or equivalent.
• A minimum 2-year experience working in coordination field experiences.
• Systematic & creative thinking with ability to plan and solve the problem and be observant.
• Excellent decision-making and leadership capabilities.
• Solid organizational skills including attention to details and multitasking skills.
• Enjoy in design on story creation with photos or VDOs shooting and editing.
• Willing to learn and embrace change constantly.
• Strong interpersonal skills with working knowledge of Microsoft Office.
• Strong verbal and written communications skills are essential especially in Thai, and fair command of English.
• Visit our website at www.pacrimgroup.com for more information regarding our organization.

ทักษะ:

Budgeting, Compliance, Research, English

ประเภทงาน:

งานประจำ

• Develop and execute the Data Platform, Data Warehouse & Analytics strategy and roadmap in alignment with the organization's business objectives.
• Act as the system owner for the enterprise Data Platform, Data Warehouse & Analytics environment, ensuring system stability, availability, security, and performance.
• Lead end-to-end Data Platform, Data Warehouse & Analytics projects, including planning, budgeting, vendor selection, implementation, and project delivery.
• Oversee the design and development of enterprise Data Architecture, data standards, and scalable data solutions.
• Ensure data quality, data integrity, and seamless data integration across relevant systems and business functions.
• Establish and drive Data Governance, Data Security, and Compliance policies in accordance with organizational requirements and applicable laws and regulations.
• Act as a strategic data advisor to business leaders and key stakeholders, providing insights and recommendations to support data-driven decision-making.
• Manage external vendors, technology partners, and service providers to ensure project delivery, service quality, and alignment with business requirements.
• Lead and manage the DWH & Analytics team by setting objectives, developing team capabilities, and fostering a data-driven culture across the organization.
• Research and evaluate emerging technologies in Data, Analytics, AI, and Automation, and identify opportunities to apply them to improve business efficiency and effectiveness.
• Bachelor's degree or higher in Computer Science, Information Technology, Statistics, Data Science, or other related fields.
• At least 7 years of hands-on experience in developing and managing dashboards and analytics solutions using Qlik Sense and/or Power BI..
• Experience with Microsoft Fabric / Microsoft Data Fabric is a strong advantage..
• Strong understanding of Data Warehouse, Data Platform, Data Architecture, Data Integration, Data Governance, and Analytics concepts.
• Strong leadership, stakeholder management, problem-solving, and project management skills.
• Good command of English with strong written and verbal communication and presentation skills.
• Fast learner, self-motivated, proactive, and able to adapt to new technologies and business requirements.
• Service-oriented mindset with a collaborative approach to working effectively with internal stakeholders and cross-functional teams.
• Excellent organizational and time management skills, with the ability to manage, prioritize, and deliver multiple tasks and projects effectively.
• Work Location: The Mall - Head Office (Ramkhamhaeng), Nearby Airport Link Ramkhamhaeng Station.

ทักษะ:

Power BI, Tableau, Finance, English

ประเภทงาน:

งานประจำ

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

ทักษะ:

Marketing Strategy

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Get to Know our.
• The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• In this Role, you'll get.
• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 4+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Digital Marketing, Data Analysis, Recruitment, Negotiation, Power BI, Tableau, YouTube, Python, SQL, SAS, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• Due to continued expansion,.
• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap.
• Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study.
• 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company.
• Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
• Excellent verbal and written communication skills in English.
• Ability to move fast and be efficient, making decisions on objective data evidence.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or e-commerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industrial Engineering, Power BI, ERP

ประเภทงาน:

งานประจำ

• Analyze SKU and category-level demand based on sales trends, promotional activities, and seasonality.
• Utilize statistical forecasting techniques and tools to generate accurate demand plans.
• Collaborate with Sales, Production, and other functions to understand key growth drivers, NPD, and promotional impacts.
• Monitor and improve demand planning metrics (Forecast Accuracy, Bias, Leftover).
• Conduct hindsight reviews to evaluate forecast performance and identify improvement opportunities.
• Apply business process improvement (BPI) and root cause analysis to resolve planning issues.
• Translate consensus demand plans into finished goods supply plans aligned with inventory targets and customer requirements.
• Coordinate with Replenishment, Manufacturing, Logistics, and Warehousing to ensure inventory availability and flow.
• Monitor long-term capacity, product shortages, and weekly KPI updates.
• Identify and resolve supply constraints, overstock issues, and inventory deviations.
• Set safety stock parameters considering lead times, warehouse, and transportation constraints.
• Bachelor's degree in industrial engineering, Statistics, Supply Chain, Logistics, Business Administration, or a related field.
• 3-5 years of experience in Demand/Supply Planning, Forecasting, or Supply Chain Management. Fresh graduates are welcome for junior roles.
• Strong analytical and statistical skills with proficiency in Excel; Power BI and ERP systems experience is a plus.
• Excellent communication and interpersonal skills to work effectively across teams.
• Detail-oriented with sound judgment and the ability to manage large datasets and complex planning scenarios.
• Start applying with LinkedIn.
• Start.
• Please wait.
• Information at a Glance.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Project Management, Python, English, Thai

ประเภทงาน:

งานประจำ

• Demonstrate a deep understanding of machine learning and deep learning models, including solutions leveraging Computer Vision (CV), Natural Language Processing (NLP), and Constraint Optimization (CP).
• Collaborate with the AI Business Partner team to identify and validate pain points suitable for AI-driven solutions.
• Collaborate with AI developer teams to develop AI-driven solutions.
• Conduct research on emerging data science techniques and advancements to refine and recommend methodologies.
• At least 2 years of professional experience.
• in data science or related fields.
• Holding a bachelor's, master's, or Ph.D. in Computer Science, Engineering, Data Science, Mathematics, or equivalent experience through industry roles, self-learning, or data science boot camps.
• Strong understanding and hands-on experience in the end-to-end data science process, including data cleaning, model development (machine learning or deep learning), validation, and performance testing.
• Strong knowledge of statistics, computer vision, or Natural Language Processing (NLP).
• Excellent communication skills, with the ability to explain complex AI techniques to non-technical stakeholders.
• Proven project management experience, showcasing problem-solving, communication, and interpersonal skills.
• Proficiency in both English and Thai.
• Strong coding skills and familiarity with relevant programming languages and tools (Python).
• Adaptable and eager to learn new tools or technologies as needed.
• Start applying with LinkedIn.
• Start.
• Please wait.
• Information at a Glance.