เงื่อนไขการค้นหา

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:

Automation, Statistics, Analytical Thinking, English

ประเภทงาน:

งานประจำ

• Analyze customer and business data to uncover insights and identify growth opportunities.
• Translate business questions into analytical approaches and actionable recommendations.
• Prepare and integrate data from multiple sources to support analytics and reporting.
• Develop dashboards and data visualizations to communicate insights effectively.
• Conduct pre- and post-campaign analysis to evaluate business and marketing performance.
• Collaborate with cross-functional teams to support data-driven decision making.
• Continuously improve analytics processes, tools, and reporting automation.
• Bachelor s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or related disciplines.
• 5-7 years of experience in Data Analytics, Business Analytics, or related roles.
• Strong experience working with large datasets and customer data.
• Strong analytical thinking and problem-solving skills.
• Proficiency in SQL and Python or R.
• Experience with data visualization tools such as Tableau or Microsoft Power BI.
• Understanding of statistical analysis and predictive modeling concepts.
• Experience working with big data tools such as Apache Spark or cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform is a plus.
• Strong communication skills with the ability to present insights to business stakeholders.
• Good command of Thai and English.

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:

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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Data Analysis, Enthusiastic, Leadership Skill, Teamwork

ประเภทงาน:

งานประจำ

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Key Responsibilities Component-Level Troubleshooting: Analyze electronic circuits and individual PCB components to identify and diagnose faults, failures, and performance issues. PCB and Transceiver Module Inspection: Inspect PCBs and transceiver modules for visible defects, including solder bridges, cold solder joints, com ...

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Data Analysis, Recruitment, YouTube, SQL, 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.
• We are looking for an Associate Director to join the largest and fastest growing online hotel booking platform in Asia based in Bangkok, Thailand. Agoda is a strongly data driven organization: as an Associate Director, your insights will impact strategic and tactical decisions driving business growth.
• As a pivotal leader in Data Analytics, you will drive transformative business impact by leading a team to deliver strategic, action-oriented insights. Your role is crucial in shaping data-driven decisions that enhance Agoda's competitive edge and operational efficiency.
• Spearhead analytical projects that align with stakeholder needs, from problem definition to insightful communication of results, influencing key areas like Marketing, Product, and Partner Services.
• Lead initiatives such as predictive modeling to optimize customer wait times and call demand, customer segmentation for personalized service, and the creation of innovative dashboards for business intelligence.
• Collaborate with stakeholders to uncover business opportunities, leveraging data to inform strategic decision-making.
• Proactively prioritize business strategies through insightful data analysis, driving growth and efficiency.
• Ensure timely, error-free delivery of analytical outputs, enhancing decision-making processes across the organization.
• Guide your team in defining business problems, extracting and analyzing data, and presenting findings through compelling visualizations.
• Balance multiple priorities, maintaining clear communication with stakeholders on progress and delivery timelines.
• Strengthen team resilience, mitigating risks of process or system failures.
• Mentor and develop team members, fostering a culture of continuous improvement and career growth.
• Bachelor's degree in mathematics, statistics, data science, computer sciences, engineering or a related degree program with outstanding academic results.
• 8+ years of relevant experience, including 4+ years of experience as a people manager.
• SQL proficiency: can extract data from large databases using SQL to develop data queries.
• Excellent problem-solving skills including the ability to analyze and resolve complex problems.
• Strong business sense.
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds.
• Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines.
• Fluent in English both spoken and written - additional languages are a plus.
• Attitude.
• Curious, proactive, practical and solution-oriented with "Get it done!" attitude.
• Data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels.
• Interested in telling an impactful story with analysis and smart data visualization, not just number crunch.
• Able to work in a highly multi-cultural team.
• Attentive to detail and committed to data integrity.
• Aware of the importance of discretion, confidentiality, and ethical behavior.
• What we offer.
• Be part of a dynamic and exciting data-driven multinational team in a successful and fast-growing tech company.
• A clearly defined career path will help you to continuously develop your skills.
• The chance to propose ideas to improve operations based on data and have an impact on the customer experience.
• Relocation package for employees joining from abroad.
• International health insurance.
• Annual performance bonus.
• Parking fees reimburse.
• Discount for Agoda employee booking on Agoda.com.
• 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.

ทักษะ:

Data Warehousing, Risk Management, Data Analysis, TensorFlow, Big Data

ประเภทงาน:

งานประจำ

• Design, develop and deploy advanced machine learning and artificial intelligence models focused on financial risk analytics, credit risk assessment, market risk analysis and fraud detection.
• Lead the end-to-end data science lifecycle, from problem definition and data exploration through model validation, implementation and ongoing performance monitoring.
• Mentor and supervise junior data scientists and analytical staff, fostering a culture of excellence, continuous learning and collaborative problem-solving within the te ...
• Conduct comprehensive exploratory data analysis on large-scale financial datasets to identify patterns, anomalies and opportunities for predictive modelling.
• Develop robust statistical models and econometric frameworks to quantify and forecast financial risks across various asset classes and business segments.
• Create clear and compelling data visualisations and reports that translate complex analytical findings into actionable business recommendations for senior management and risk committees.
• Collaborate closely with risk management, compliance, trading and operations teams to understand business requirements and ensure analytical solutions align with strategic objectives.
• Establish and maintain rigorous model governance frameworks, including validation protocols, backtesting procedures and documentation standards to ensure regulatory compliance.
• Stay abreast of emerging trends, methodologies and technologies in financial AI, machine learning and risk analytics, and evaluate their applicability to our business.
• Optimise data pipelines and analytical infrastructure to enhance processing efficiency, scalability and data quality across analytical systems.
• What we're looking for.
• Master's degree or higher in Data Science, Machine Learning, Statistics, Mathematics, Physics, Computer Science or a related quantitative discipline.
• Minimum 7-10 years of professional experience in data science, machine learning engineering or advanced analytics, with at least 4-5 years specifically focused on financial services, risk analytics or quantitative finance.
• Demonstrated expertise in building and deploying machine learning models in production environments, with proficiency in supervised learning, unsupervised learning, ensemble methods and deep learning techniques.
• Strong proficiency in programming languages such as Python, R or Scala, with experience in relevant libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Solid understanding of financial concepts including credit risk, market risk, operational risk, counterparty risk, regulatory capital requirements and risk measurement methodologies.
• Experience with big data technologies and distributed computing frameworks such as Apache Spark, Hadoop or cloud-based analytics platforms (AWS, GCP, Azure).
• Proven track record of leading analytical projects, mentoring junior staff and driving cross-functional collaboration in a complex organisational environment.
• Strong statistical knowledge including hypothesis testing, causal inference, time series analysis and experimental design.
• Experience with financial data sources, APIs and market data platforms; familiarity with data warehousing and ETL processes is advantageous.
• Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Knowledge of financial regulations such as Basel III, IFRS 9, Dodd-Frank or equivalent regional frameworks is highly desirable.
• Certification in machine learning, data science or related disciplines is a plus.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Recruitment, Tableau, YouTube, SQL

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.
• Strategy & Analytics is a fast-growing and dynamic team within the Strategic Partnerships department of Agoda. Strategic Partnerships is a team of creative entrepreneurs that develop solutions for Agoda's non-accommodation partners and promote Agoda's top and bottom-line growth. We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. The Strategy & Analytics team's scope includes profitability optimization, target setting, KPI management, data analytics, and business strategy.
• As Lead Manager / Associate Director - Strategy & Analytics, you will lead the data strategy and governance of one of Booking Holdings' most critical initiatives, defining how Agoda, Booking.com, and Priceline collectively measure, interpret, and act on business performance.
• Within Booking Holdings, an enhanced and more connected B2B business is being built consolidating the businesses of Booking.com, Priceline and Agoda into a single global division ("New B2B Business").
• You will own a high-visibility, cross-brand program that goes far beyond data management. This initiative shapes how the company defines growth, evaluates profitability, and allocates resources across its portfolio of businesses, with the work you deliver directly informing decisions at the highest levels of the organization.
• If you are energized by impact and ready to build something that truly matters, this role is for you.
• Lead the design and implementation of a unified data strategy and measurement framework across Agoda, Booking.com, and Priceline, establishing a single source of truth for how the New B2B Business defines, tracks, and acts on performance.
• Own the data harmonization roadmap from scoping through phased delivery, ensuring alignment on definitions, metrics, and data logic across three distinct brand organizations with differing systems and conventions.
• Analyze and translate complex data into actionable insights that drive business strategy and enable strategic decision-making.
• Build and develop a high-performing global team of analysts by setting strategic direction, establishing quality standards, and creating an environment where the team operates with clarity, accountability, and ambition.
• Collaborate with senior stakeholders and cross-functional global teams across Analytics, Product, Tech, Finance, Legal, etc., to execute on strategic initiatives.
• Keep leadership informed and aligned by providing rigorous reporting and analysis on strategic initiatives, communicating progress, risks, and recommendations in a clear and structured manner to support data-driven decision-making at the Executive level.
• 7+ years of total professional experience in an analytically rigorous environment; prior experience at a top-tier management consulting firm with demonstrated progression and impact is strongly preferred.
• Proven experience leading complex, multi-stakeholder projects, owning timelines, deliverables, and executive reporting.
• A track record of independently structuring and solving complex, ambiguous problems.
• Strong data literacy and business numeracy, genuinely comfortable interrogating business metrics, evaluating data logic, and translating numbers into meaningful business insights.
• Prior experience managing and developing a team, with the ability to lead across geographies and functions.
• Exceptional Executive communication and presentation skills, able to distill complex, nuanced topics into clear, compelling, and actionable narratives.
• A high-ownership mindset, comfortable with ambiguity, energized by fast-moving environments, and fully accountable for outcomes.
• Proficiency in SQL or data querying tools.
• Proficiency in Tableau or equivalent BI and visualization platforms.
• A degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline; an MBA or advanced degree from a top-tier institution is a meaningful plus.
• 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.

ทักษะ:

Business Development, Recruitment, Tableau, YouTube, SQL, English

ประเภทงาน:

งานประจำ

• This role is based in our Bangkok office with a hybrid setup (3 days in office per week). Relocation to Bangkok is required, and we will only consider applicants who are willing to relocate (Relocation support will be provided.).
• Strategy.
• Conduct analyses to identify growth opportunities and prioritize investment areas in APAC for Strategic Partnerships team based on analytical insights, industry trends, and changing competitive landscape.
• Analytics.
• Leverage data & tools to analyze SP performance and identify appropriate levers to improve performance.
• Cross-functional projects.
• Work with different teams inside SP (B2B, White Label, Affiliates, Financial Institutions, different markets across APAC, etc.) and outside of SP (product, marketing, supply, finance, etc.) to drive initiatives.
• Performance management.
• Maintain and optimize a performance management system for the department, including a large team of account managers.
• Data & tools.
• Oversee SP data infrastructure to ensure data accuracy, completeness, and timeliness. Design, manage, and oversee the maintenance of data tools to support decision making.
• Performance reporting.
• Preparing updates on business performance, proposals, and recommendations to senior management.
• Pricing Experiments.
• Optimize pricing strategy and make decisions based on A/B experiments.
• This is an Individual contributor role, reporting to Associate Director, Strategy & Analytics.
• 3+ years and above of total experience.
• with Consulting, Data Analytics, Strategy, Business Development, Business Intelligence, or other relevant fields.
• Proven ability to leverage analytics and quantitative methods to break down ambiguous problems and come up with recommendations.
• Growth mindset and excited to work on a variety of functional areas.
• Entrepreneurial and not afraid to be hands-on on the work.
• Experience working in a fast-paced and high growth environment.
• Excellent communication skills (both verbal and written in English) with ability to work well across multiple stakeholders.
• Ability to write in SQL a plus, or willingness to learn.
• Ability to use Tableau a plus, or willingness to learn.
• Bachelor's degree in Statistics, Computer Science, Economics, Mathematics a plus.
• Analytics.
• LI-DN2.
• Bangkok.
• 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.

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.

ทักษะ:

Market Research

ประเภทงาน:

งานประจำ

• Assist to lead pre-opening projects, including budget preparation, market research, operational training programs and stakeholder management to ensure successful launch of new projects.
• Gather and analyse past financial performances and market statistics, to create project financial projections and analysis of properties' performances. Identify and execute cost optimization opportunities while safeguarding product and service quality.
• Champion the adoption of innovation technologies and systems to optimize performance ...
• Provide leadership in F&B planning through analysis of regional trends, consumer behaviours and competitor activities to put forth concept proposals and business plans to maintain market relevance.
• Conduct audit to ensure compliance with safety, brand, and operational standards to drive regional best practice sharing and continuous operational improvement.
• Assist to coordinate sustainability reporting, highlighting actions and progress development of SEAA properties.
• Build and maintain a portfolio of vendor and consultant partnerships for the region.
• Provide strategic guidance to regional GM and F&B leaders.
• Ensure all F&B manuals, policies and systems are current and relevant.
• Travel to properties to provide operational support when necessary.
• Key Qualification.
• Bachelor's degree in hospitality or business management, or other related fields preferred.
• Minimum of 10 years of senior level F&B leadership in international hospitality groups or large-scale food service organizations.
• Strong commercial acumen with the ability to analyse financial performance and deliver results.
• Demonstrated expertise in concept innovation, outlet repositioning, and new project launches.
• Experience clarifying and summarizing complex issues, to tell an impactful story with analysis and data visualization, providing effective business metrics and insights.
• Able to work in a fast-paced environment with multiple priorities, updating stakeholders on progress and expected delivery.

ทักษะ:

Digital Marketing, Data Analysis, Recruitment, Power BI, Tableau, YouTube, Python, Java, 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.
• 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.
• 2+ 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.

ทักษะ:

Business Development, Recruitment, Tableau, YouTube, SQL, English

ประเภทงาน:

งานประจำ

• This role is based in our Bangkok office with a hybrid setup (3 days in office per week). Relocation to Bangkok is required, and we will only consider applicants who are willing to relocate (Relocation support will be provided.).
• Strategy.
• Conduct analyses to identify growth opportunities and prioritize investment areas in APAC for Strategic Partnerships team based on analytical insights, industry trends, and changing competitive landscape.
• Analytics.
• Leverage data & tools to analyze SP performance and identify appropriate levers to improve performance.
• Cross-functional projects.
• Work with different teams inside SP (B2B, White Label, Affiliates, Financial Institutions, different markets across APAC, etc.) and outside of SP (product, marketing, supply, finance, etc.) to drive initiatives.
• Performance management.
• Maintain and optimize a performance management system for the department, including a large team of account managers.
• Data & tools.
• Oversee SP data infrastructure to ensure data accuracy, completeness, and timeliness. Design, manage, and oversee the maintenance of data tools to support decision making.
• Performance reporting.
• Preparing updates on business performance, proposals, and recommendations to senior management.
• Pricing Experiments.
• Optimize pricing strategy and make decisions based on A/B experiments.
• This is an Individual contributor role, reporting to Associate Director, Strategy & Analytics.
• 3+ years and above of total experience.
• with Consulting, Data Analytics, Strategy, Business Development, Business Intelligence, or other relevant fields.
• Proven ability to leverage analytics and quantitative methods to break down ambiguous problems and come up with recommendations.
• Growth mindset and excited to work on a variety of functional areas.
• Entrepreneurial and not afraid to be hands-on on the work.
• Experience working in a fast-paced and high growth environment.
• Excellent communication skills (both verbal and written in English) with ability to work well across multiple stakeholders.
• Ability to write in SQL a plus, or willingness to learn.
• Ability to use Tableau a plus, or willingness to learn.
• Bachelor's degree in Statistics, Computer Science, Economics, Mathematics a plus.
• Analytics.
• LI-DN2.
• Bangkok.
• 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.

ทักษะ:

Negotiation, eCommerce, Big Data, English, Thai

ประเภทงาน:

งานประจำ

• Plan all aspects of our SaaS client onboarding and client growth strategy in conjunction with all stakeholders. Set a clear mission and deploy strategies focused towards that mission.
• Take ownership of customers issues and follow problems through to resolution. Develop service procedures, policies and standards.
• Keep accurate records and document customer service actions and discussions.
• Able to Analyze statistics and compile accurate reports.
• Improve customer service experience, create engaged customers and facilitate organic growth.
• Determine priorities to create structure and call out gaps based on client expectations and business impact.
• Define every aspect of the client experience and work with all stakeholders to ensure that the clients' and user experience is nothing less than perfect.
• Work with each of the IQ Product Managers to identify opportunities to improve the SaaS experience of our products.
• Work with the Product Marketing Manager, our training manager and each of the IQ Product Managers to build out the training material, user support material, onboarding and offboarding SOPs, etc.
• Work with the commercial teams to optimize our GTM strategy.
• Define how we help our clients grow their ecommerce business across multiple channels faster on aCommerce than on any other platform, taking full advantage of our suite of products.
• Work with the marketing teams to optimize our message and to acquire new, high-value clients.
• Work closely with the Client and Application Support teams ensure a flawless client and user experience.
• Identify possible risks and take measures to prevent these and escalate if needed.
• Keep ahead of industry's developments and apply best practices to areas of improvement.
• Control resources and utilize assets to achieve qualitative and quantitative targets.
• Recruit, mentor and develop customer service agents and nurture an environment where they can excel through encouragement and empowerment.
• ________________.
• Bachelor Degree, MBA or any related field.
• Fluent in English & Thai, both spoken and written.
• At least 2 Years' experience with managing client operations, client expectations and client success As, ideally in a SaaS context or someone from Key Account Management.
• Proven, strong communication skills at senior and junior levels, with commercial, customer support, product, engineering, and marketing teams.
• Good Excel skills (Pivot, V-lookup), understand and be able to process data, visualize, map, and investigate big data.
• Ability to articulate complex technical concepts in easy-to-understand for non-technical users and clients.
• Good problem-solving and analytic skills.
• Excellent attention to detail - we love our clients.
• Willingness to 'get hands dirty' - we are still a start-up.
• Strong interpersonal, negotiation, and decision-making skills.