เงื่อนไขการค้นหา

ทักษะ:

Analytical Thinking, Problem Solving, Power BI, Tableau

ประเภทงาน:

งานประจำ

• ตรวจสอบ Forecast Assumption โดยพิจารณาจากยอดขายย้อนหลัง แนวโน้มตลาด Seasonality, Distribution, Promotion Plan และปัจจัยทางธุรกิจ.
• วิเคราะห์ความแตกต่างระหว่าง Forecast, Target และ Actual Sales พร้อมระบุสาเหตุ ความเสี่ยง และโอกาส.
• Challenge และให้ข้อเสนอแนะต่อ Forecast ร่วมกับ Sales และ Demand Planning.
• จัดทำ Scenario Analysis และประมาณการผลกระทบจากการเปลี่ยนแปลงของ Demand, Promotion, Distribution หรือ Market Condition.
• ร่วมจัดทำ Consensus Forecast เพื่อสนับสนุนการวางแผนยอดขาย สินค้าคงคลัง และกิจกรรมทางการค้า.
• ติดตาม Forecast Accuracy และ Forecast Bias พร้อมเสนอแนวทางปรับปรุง.
• Trade Strategy & Promotion Planning- วาง Trade Strategy และ Promotion Calendar ร่วมกับ Sales, Category Management และ Marketing.
• ออกแบบ Promotion และ Commercial Tactic ให้เหมาะสมกับแต่ละ Channel, Customer, Category และ Product Life Cycle.
• พัฒนา Tactic เพื่อขับเคลื่อนยอดขาย เช่น Discount, Bundle, Multi-buy, Gift with Purchase, Sampling, Visibility และ Customer-specific Program.
• จัดทำ Business Case เพื่อประเมินยอดขาย ต้นทุน Margin, Trade Spend, Stock Impact และความคุ้มค่าก่อนดำเนินกิจกรรม.
• เสนอ Tactic เพื่อปิด Gap ระหว่าง Forecast และ Business Target.
• ปรับ Promotion Plan ให้เหมาะสมกับ Sales Performance, Stock Coverage, Product Aging และสถานการณ์ตลาด.
• Trade & Promotion Analytics- ประเมิน Expected Uplift ของ Promotion และ Commercial Tactic โดยใช้ข้อมูลย้อนหลังและ Business Assumption.
• วิเคราะห์ Incremental Sales, Cannibalization, Promotion ROI และ Incremental Margin.
• จัดทำ Post-campaign Evaluation เปรียบเทียบผลจริงกับ Forecast และ Expected Uplift.
• พัฒนา Promotion Benchmark และ Uplift Database เพื่อใช้วางแผนกิจกรรมในอนาคต.
• วิเคราะห์ประสิทธิภาพของ Trade Spend และเสนอแนวทางเพิ่มผลตอบแทนจากงบประมาณ.
• จัดทำ Dashboard และ Management Report ที่สรุป Insight, Risk และ Recommendation ได้อย่างชัดเจน.
• เปลี่ยนผลการวิเคราะห์ให้เป็นข้อเสนอเชิงธุรกิจและ Action Plan ที่สามารถนำไปใช้ได้จริง.
• Qualifications- ปริญญาตรีหรือปริญญาโทด้านบริหารธุรกิจ การตลาด เศรษฐศาสตร์ การเงิน สถิติ Data Analytics หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 5 ปีใน Commercial Planning, Trade Marketing, Revenue Growth Management, Sales Analytics, Category Management หรือสายงานที่เกี่ยวข้อง.
• หากมีประสบการณ์ในธุรกิจ FMCG, Beauty, Retail หรือ Omnichannel จะได้รับการพิจารณาเป็นพิเศษ.
• มีประสบการณ์ด้าน Sales Forecasting, Promotion Planning หรือ Commercial Performance Analysis.
• สามารถวิเคราะห์ Promotion Uplift, ROI, Margin และ Trade Spend ได้.
• สามารถออกแบบ Promotion/Tactic และจัดทำ Business Case เพื่อสนับสนุนการตัดสินใจ.
• มีทักษะ Excel ระดับสูง และสามารถใช้ Power BI, Tableau หรือเครื่องมือวิเคราะห์ข้อมูลที่ใกล้เคียง.
• มีความสามารถในการวิเคราะห์ข้อมูลเชิงปริมาณ พร้อมเชื่อมโยงข้อมูลกับบริบททางธุรกิจ.
• มี Commercial Mindset และสามารถเปลี่ยน Insight ให้เป็น Strategy หรือ Action ได้.
• สามารถทำงานร่วมกับหลายฝ่าย Challenge Assumption อย่างสร้างสรรค์ และสื่อสารกับผู้บริหารได้อย่างมีประสิทธิภาพ.
• Key Competencies- Commercial and Analytical Thinking.
• Sales Forecast and Scenario Analysis.
• Trade Strategy and Promotion Planning.
• Business Case Development.
• Promotion ROI and Uplift Analysis.
• Problem Solving and Decision Making.
• Cross-functional Collaboration.
• Management Communication.
• __________.
• สิทธิสวัสดิการกลุ่มบริษัทเอสเอสยูพี.
• สวัสดิการที่ได้รับในวันแรก - อายุงานสองเดือน.
• ด้านประกันสังคม.
• กองทุนประกันสังคม/ กองทุนเงินทดแทน.
• ด้านประกัน.
• ประกันอุบัติเหตุสำหรับพนักงานที่ปฏิบัติงานนอกสถานที่เป็นประจำ.
• ได้รับเมื่ออายุงานครบ 7 วัน.
• ประกันอุบัติเหตุสำหรับพนักงานที่ปฏิบัติงานประจำสำนักงาน และประจำสาขา.
• ได้รับเมื่ออายุงานครบ 2 เดือน.
• ด้านสุขภาพ.
• การตรวจสุขภาพประจำปี.
• ด้านการออมทรัพย์.
• กองทุนสำรองเลี้ยงชีพ.
• สหกรณ์ออมทรัพย์ SSUP.
• ด้านของขวัญยินดี.
• ช่อดอกไม้แสดงความยินดีสำเร็จการศึกษาปริญญาตรี/ โท.
• ด้านการเยี่ยม.
• ของเยี่ยมกรณีพักรักษาตัวในโรงพยาบาล.
• ซื้อเครื่องสำอาง/ อาหารเสริม ส่วนลด 50%.
• สวัสดิการที่ได้รับเมื่ออายุงาน 1 ปีขึ้นไป.
• ด้านสุขภาพ.
• ประกันสุขภาพ.
• ค่ารักษาพยาบาลพนักงาน และครอบครัว (บิดา/ มารดา/ บุตร/ คู่สมรสที่จดทะเบียน).
• บัตรเครดิตจัดซื้อสุขภาพใช้ชำระค่ารักษาพยาบาลของพนักงานและครอบครัว (บิดา/ มารดา/ บุตร/ คู่สมรสที่จดทะเบียนสมรส) โดยใช้ได้ทั้งการรักษาแบบผู้ป่วยใน (IPD) และการรักษาแบบผู้ป่วยนอก (OPD) โดยมีวงเงินดังนี้.
• พนักงานระดับ 1-5 วงเงินบัตร 70,000 บาท.
• พนักงานระดับ 6-7 วงเงินบัตร 150,000 บาท.
• พนักงานระดับ 8 ขึ้นไป วงเงินบัตร 300,000 บาท.
• ด้านประกัน.
• ประกันอุบัติเหตุครอบครัว (บิดา/ มารดา/ บุตร).
• ประกันชีวิตพนักงาน.
• ด้านเงินกู้ยืม.
• เงินกู้ สหกรณ์ออมทรัพย์ SSUP.
• กู้ยืมเพื่อการศึกษาต่อของพนักงาน และบุตรพนักงาน.
• กู้ยืมเพื่อคลอดบุตร และรักษาพยาบาลบิดา/ มารดา.
• กู้ยืมเพื่อซื้ออุปกรณ์ในการดูแลสุขภาพบิดามารดา.
• กู้ยืมเพื่อซื้อมือถือ/ iPad หรือคอมพิวเตอร์เพื่อพัฒนาความรู้ให้กับตนเอง/ บุตร/ บิดา/ มารดา.
• ด้านการศึกษา.
• ทุนการศึกษาบุตรพนักงานในระดับอนุบาล - อนุปริญญา วงเงิน 5,000 - 8,000 บาท.
• ทุนเล่าเรียนเพื่อการศึกษาบุตรพนักงานระดับปริญญาตรี วงเงิน 20,000 - 25,000 บาท.
• ทุนเรียนดีบุตรพนักงานในระดับประถมศึกษา - ปริญญาตรี วงเงิน 7,500 - 12,000 บาท.
• พนักงานที่ไม่ได้เบิกทุนการศึกษาบุตร (คนโสด) สามารถเบิกค่าใช้จ่ายในการพัฒนาความรูป และทักษะด้านต่าง ๆ ให้แก่ตนเอง วงเงิน 5,000 - 8,000 บาท.
• ซื้อหนังสือหรือตำราเพื่อพัฒนาตนเอง ได้รับการสนับสนุนค่าใช้จ่ายจำนวน 75% ตามที่จ่ายจริง ไม่เกินเงินเดือนจำนวนหนึ่งเดือนของพนักงาน.
• ศึกษาวิชาภาษาต่างประเทศทุกสถาบัน หรือเรียนออนไลน์ภายในประเทศ ได้รับการสนับสนุน ค่าใช้จ่ายจำนวน 75% ตามที่จ่ายจริง ไม่เกินเงินเดือนจำนวนหนึ่งเดือนของพนักงาน.
• ด้านของขวัญยินดี.
• ของขวัญแสดงความยินดีการสมรส (อายุงานครบ 2 ปีขึ้นไป).
• ของขวัญแสดงความยินดีการมีบุตร (อายุงานครบ 2 ปีขึ้นไป).
• โบนัส/ รายได้อื่น ๆ.
• โบนัสอายุงานครบ 1 ปี/ โบนัสประจำปี/ ปรับค่าจ้างประจำปี.
• เงินช่วยเหลือเพื่อประกอบพิธีกรรมทางศาสนา/ พวงหรีด.
• การสนับสนุนพิเศษจากกองทุนศักดิ์พรทรัพย์ (สำนักงานกรุงเทพฯ และพนักงานประจำสาขา).
• ได้รับเมื่อผ่านทดลองงาน.
• ด้านที่พักอาศัย.
• ให้เช่าอพาร์ทเมนท์ของบริษัทฯ ใกล้สำนักงานใหญ่ (ติดกับ ม.หอการค้า).
• เดือนละ 2,600 บาท (รวมค่าน้ำ) ห้องแอร์ ขนาด 25 - 35 ตร.ม.
• สิทธิสวัสดิการกลุ่มบริษัทเอสเอสยูพี (สำนักงานสมุทรปราการ).
• สวัสดิการที่ได้รับในวันแรก - อายุงานสองเดือน.
• ด้านประกันสังคม.
• กองทุนประกันสังคม/ กองทุนเงินทดแทน.
• ด้านประกัน.
• ประกันอุบัติเหตุสำหรับพนักงานที่ปฏิบัติงานนอกสถานที่เป็นประจำ.
• ได้รับเมื่ออายุงานครบ 7 วัน.
• ประกันอุบัติเหตุสำหรับพนักงานที่ปฏิบัติงานประจำสำนักงาน และประจำสาขา.
• ได้รับเมื่ออายุงานครบ 2 เดือน.
• ด้านเบี้ยขยัน.
• เบี้ยขยัน แจ็คพอต.
• ด้านอาหาร.
• ค่าอาหารกลางวัน.
• ด้านสุขภาพ.
• การตรวจสุขภาพประจำปี.
• ด้านการออมทรัพย์.
• กองทุนสำรองเลี้ยงชีพ.
• สหกรณ์ออมทรัพย์ SSUP.
• ด้านของขวัญยินดี.
• ช่อดอกไม้แสดงความยินดีสำเร็จการศึกษาปริญญาตรี/ โท.
• ด้านการเยี่ยม.
• ของเยี่ยมกรณีพักรักษาตัวในโรงพยาบาล.
• ซื้อเครื่องสำอาง/ อาหารเสริม ส่วนลด 50%.
• สวัสดิการที่ได้รับเมื่ออายุงาน 1 ปีขึ้นไป.
• ด้านสุขภาพ.
• ประกันสุขภาพ.
• ค่ารักษาพยาบาลพนักงาน และครอบครัว (บิดา/ มารดา/ บุตร/ คู่สมรสที่จดทะเบียน).
• บัตรเครดิตจัดซื้อสุขภาพใช้ชำระค่ารักษาพยาบาลของพนักงานและครอบครัว (บิดา/ มารดา/ บุตร/ คู่สมรสที่จดทะเบียนสมรส) โดยใช้ได้ทั้งการรักษาแบบผู้ป่วยใน (IPD) และการรักษาแบบผู้ป่วยนอก (OPD) โดยมีวงเงินดังนี้.
• พนักงานระดับ 1-5 วงเงินบัตร 70,000 บาท.
• พนักงานระดับ 6-7 วงเงินบัตร 150,000 บาท.
• พนักงานระดับ 8 ขึ้นไป วงเงินบัตร 300,000 บาท.
• ด้านประกัน.
• ประกันอุบัติเหตุครอบครัว (บิดา/ มารดา/ บุตร).
• ประกันชีวิตพนักงาน.
• ด้านเงินกู้ยืม.
• เงินกู้ สหกรณ์ออมทรัพย์ SSUP.
• กู้ยืมเพื่อการศึกษาต่อของพนักงาน และบุตรพนักงาน.
• กู้ยืมเพื่อคลอดบุตร และรักษาพยาบาลบิดา/ มารดา.
• กู้ยืมเพื่อซื้ออุปกรณ์ในการดูแลสุขภาพบิดามารดา.
• กู้ยืมเพื่อซื้อมือถือ/ iPad หรือคอมพิวเตอร์เพื่อพัฒนาความรู้ให้กับตนเอง/ บุตร/ บิดา/ มารดา.
• ด้านการศึกษา.
• ทุนการศึกษาบุตรพนักงานในระดับอนุบาล - อนุปริญญา วงเงิน 5,000 - 8,000 บาท.
• ทุนเล่าเรียนเพื่อการศึกษาบุตรพนักงานระดับปริญญาตรี วงเงิน 20,000 - 25,000 บาท.
• ทุนเรียนดีบุตรพนักงานในระดับประถมศึกษา - ปริญญาตรี วงเงิน 7,500 - 12,000 บาท.
• พนักงานที่ไม่ได้เบิกทุนการศึกษาบุตร (คนโสด) สามารถเบิกค่าใช้จ่ายในการพัฒนาความรูป และทักษะด้านต่าง ๆ ให้แก่ตนเอง วงเงิน 5,000 - 8,000 บาท.
• ซื้อหนังสือหรือตำราเพื่อพัฒนาตนเอง ได้รับการสนับสนุนค่าใช้จ่ายจำนวน 75% ตามที่จ่ายจริง ไม่เกินเงินเดือนจำนวนหนึ่งเดือนของพนักงาน.
• ศึกษาวิชาภาษาต่างประเทศทุกสถาบัน หรือเรียนออนไลน์ภายในประเทศ ได้รับการสนับสนุน ค่าใช้จ่ายจำนวน 75% ตามที่จ่ายจริง ไม่เกินเงินเดือนจำนวนหนึ่งเดือนของพนักงาน.
• ด้านของขวัญยินดี.
• ของขวัญแสดงความยินดีการสมรส (อายุงานครบ 2 ปีขึ้นไป).
• ของขวัญแสดงความยินดีการมีบุตร (อายุงานครบ 2 ปีขึ้นไป).
• โบนัส/ รายได้อื่น ๆ.
• โบนัสอายุงานครบ 1 ปี/ โบนัสประจำปี/ ปรับค่าจ้างประจำปี.
• เงินช่วยเหลือเพื่อประกอบพิธีกรรมทางศาสนา/ พวงหรีด.
• การสนับสนุนพิเศษจากกองทุนศักดิ์พรทรัพย์ (สำนักงานสมุทรปราการ).
• ได้รับในวันแรกของการทำงาน.
• ด้านที่พักอาศัย.
• ให้เช่าห้องพักราคาเดือนละ 1,400 บาท (รวมค่าน้ำ และค่าส่วนกลาง).

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:

Procurement, Automation, Compliance

ประเภทงาน:

งานประจำ

• Collect, validate, and clean logistics data from transportation, warehousing, and distribution activities to ensure high data quality, accuracy, and consistency for effective analysis..
• Monitor and track the data collection process, ensuring timely and accurate preparation of monthly logistics performance reports..
• Analyze logistics data to identify trends, performance gaps, inefficiencies, bottlenecks, and cost-saving opportunities within the supply chain and logistics operations ...
• Conduct root cause analysis on operational issues and collaborate with relevant teams to propose and implement actionable improvements for enhanced efficiency..
• Develop, maintain, and optimize interactive dashboards and reports that visualize key performance indicators (KPIs) and logistics trends to provide clear insights for management and stakeholders..
• Prepare ad-hoc reports as requested by management or departments, ensuring delivery of relevant and accurate information to support decision-making..
• Collaborate closely with cross-functional teams - including procurement, warehousing, transportation, and IT - to improve supply chain processes, support logistics-related projects, and enhance data integration and reporting automation..
• Track the progress and impact of logistics projects and initiatives, ensuring alignment with business objectives and supporting risk identification and mitigation planning through data analysis..
• Stay updated on industry best practices, emerging trends, and new technologies in logistics and supply chain analytics to continuously improve processes and analytical capabilities..
• Support continuous improvement efforts by providing analytical input and helping optimize logistics workflows, ensuring compliance with company policies.
• Build and maintain strong working relationships with internal stakeholders to understand their data needs, facilitate reliable data access, and provide timely and effective analytical support.
• Bachelor's Degree in business administration, Supply Chain and Logistic Management or in a field related to data.
• 3-5 years of experience or internships in supply chain, logistics, or data analysis preferred.
• Basic knowledge of logistics operations and supply chain principles.
• Familiarity with data tools like Excel, Power BI, or SQL is a plus.
• Strong attention to detail and ability to work with large datasets.
• Good problem-solving and critical thinking skills.
• Ability to prepare clear reports and presentations.
• Basic understanding of ERP or logistics management systems (e.g., SAP, TMS) is beneficial.
• Strong communication skills and ability to work in a team environment.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Recruitment, Automation, Tableau, YouTube, Python, 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.
• The team.
• Agoda's Marketing team operates at the intersection of business strategy, data, and execution. We build and scale programs across growth, pricing, and commercial initiatives that drive customer value and sustainable business performance globally. We're analytical, fast-moving, and deeply cross-functional - partnering closely with Product, Finance, Corporate Strategy, and Supply to shape Agoda's growth agenda.
• The opportunity.
• We're looking for experience Marketing Growth Strategy & Analytics leaders to own high-impact commercial initiatives from strategy through execution. You'll translate business goals into structured plans, lead cross-functional programs, and use data and experimentation to unlock growth. This role sits at the center of key decisions - influencing how we grow, price, and operate across markets - with strong visibility to senior leadership.
• In this role, you'll get to.
• Define and execute strategies within your scope - which may span areas like pricing, channel performance, customer acquisition, retention, or go-to-market - translating commercial priorities into testable hypotheses, scalable frameworks, and measurable outcomes.
• Lead experimentation roadmaps, including A/B tests and other measurement approaches, to evaluate impact and sharpen decision-making.
• Analyze large, complex datasets to surface trends, opportunities, and risks; build dashboards and executive-ready narratives that communicate performance clearly.
• Model business impact, evaluate trade-offs, and support planning around P&L, growth, and long-term value creation.
• Partner cross-functionally with Product, Finance, Corporate Strategy, Supply, and senior leadership to drive alignment and execution.
• Build playbooks and processes that enable repeatability and scale across markets, channels, or partners.
• Mentor and develop team members while contributing to a high-performance, test-and-learn culture.
• What we are looking for.
• 5+ years of experience in growth, marketing, pricing, strategy, analytics, revenue management, consulting, or related data-driven roles.
• Strong analytical and problem-solving skills - comfortable turning ambiguity into clear frameworks and action plans.
• Hands-on experience with SQL, Tableau, or similar BI/analytics tools; proven ability to translate data into commercial recommendations.
• Practical experience with experimentation, measurement, and performance optimization.
• Strong business acumen: P&L drivers, unit economics, growth levers, and ROI.
• Excellent communication and stakeholder management skills, with the ability to influence senior and cross-functional audiences.
• High ownership and execution discipline in a fast-paced, collaborative environment.
• Bachelor's degree in Economics, Statistics, Engineering, Mathematics, Computer Science, Finance, or equivalent practical experience.
• It's great if you have.
• Experience in a high-growth digital business (e-commerce, travel, tech, fintech) or an analytically rigorous environment such as management consulting or internal strategy.
• Familiarity with statistical analysis, forecasting, machine learning, or hypothesis-testing frameworks.
• Experience using Python or R for analysis, modeling, or automation.
• People management experience - hiring, coaching, and developing teams.
• Experience with external partners, affiliates, marketplaces, loyalty programs, or B2B/B2B2C channels.
• MBA or advanced degree (equivalent hands-on experience equally valued).
• Why join Agoda.
• Work on high-impact, global business problems with direct visibility to senior leadership.
• Shape commercial strategy in an organization that genuinely values analytical rigor, ownership, and experimentation.
• Build and scale initiatives that influence growth, profitability, and customer experience at a global scale.
• London.
• PricingStrategy.
• Travel.
• 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:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็น.
• SQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking.

ประสบการณ์:

15 ปีขึ้นไป

ทักษะ:

Leadership Skill

ประเภทงาน:

งานประจำ

• Strategic Planning (Data & Technology Strategy).
• Define the vision and technological direction aligned with the overarching business goals of the hotel group.
• Develop and execute a comprehensive Data & Technology Strategy that aligns with key business objectives, such as increasing RevPAR (Revenue Per Available Room), reducing operational costs, and enhancing guest satisfaction scores.
• Spearhead the adoption of emerging technologies and platforms to drive innovation and create a distinct edge over competitors.
• Act as the strategic bridge between business units (Operations, Marketing, Finance) and the technology team, ensuring all IT investments deliver tangible business value and address real operational needs.
• Champion and cultivate a "Data-driven Culture" throughout the entire organization, promoting data literacy at all levels.
• Infrastructure & Platform Architecture (The Technical Backbone).
• This is the core mission, focusing on building a robust, stable, and scalable foundation to support current operations and future growth.
• Plan, design, and construct the entire technology infrastructure, encompassing hardware (servers, networking equipment, IoT devices) and software platforms (cloud services, databases, API gateways).
• Lead the integration of disparate operational systems across properties (e.g., PMS, POS, CRM, Housekeeping systems) to break down "Information Silos" and establish a centralized enterprise Data Lake / Data Warehouse.
• Oversee end-to-end cybersecurity frameworks and ensure strict compliance with data privacy regulations (e.g., PDPA, GDPR) to protect guest and corporate data.
• Manage external vendor relationships and technology procurement, optimizing investments to fit within allocated budgets (CAPEX/OPEX).
• Data-Driven Business Insights (Turning Data into Assets).
• Transform raw data into actionable business intelligence and strategic weapons for both executives and on-site operational teams.
• Establish enterprise-wide Data Governance standards and build automated, real-time dashboards (using tools like Power BI or Tableau) to provide leadership with a clear, at-a-glance view of critical KPIs.
• Conduct deep-dive analytics to support high-level strategic decisions, including ROI analysis of marketing campaigns, accurate demand forecasting, and guest behavior analysis to maximize upselling opportunities.
• Empower individual hotel managers with intuitive analytical tools and insights to optimize day-to-day operations, such as workforce scheduling, food & beverage cost control, and predictive maintenance planning.
• Team Leadership & People Management.
• Build, develop, and lead a high-performing, multi-disciplinary team to execute all technical and analytical initiatives.
• Design the organizational structure and recruit top-tier talent across specialized domains, including Data Engineers (pipeline building), Data Analysts (insights & visualization), Data Scientists (predictive modeling), and IT Operations (infrastructure maintenance).
• Mentor, coach, and motivate the team, setting clear performance goals (OKRs / KPIs) and fostering a culture of continuous learning and innovation.
• Take full ownership of the departmental annual budget, meticulously planning and tracking both capital and operational technology expenditures.
• Experience: Minimum of 10 - 15 years of progressive experience in IT, Data, or Technology leadership roles (experience specifically within the Hospitality, Real Estate, or Retail sectors is highly preferred).
• Technical Expertise: Deep, hands-on knowledge of cloud architecture(AWS/Azure/GCP), database management (SQL/NoSQL), ETL/ELT processes, and Business Intelligence platforms.
• Strategic & Commercial Acumen: Possesses a strong visionary mindset with the proven ability to translate complex technical concepts into clear, compelling business cases for C-level executives and operational staff.
• Problem-Solving & Risk Management: Demonstrates decisive leadership under pressure, with a track record of effectively managing critical system incidents and mitigating operational risks.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Project Management, Recruitment, Python, SQL

ประเภทงาน:

งานประจำ

Who We Are Suntory is a global leader in consumer-packaged goods, renowned for producing and distributing a uniquely diverse portfolio of beverages, premium spirits, beer, wine, and wellness products throughout the world. With a history dating back to 1899, we are driven by a profound purpose: To inspire the brilliance of life, by creating rich experiences for people, in harmony with nature. At Suntory Beverage and Food, we boldly move forward together to realize the dreams of becoming a world-leading next-generation global beverage company, always together with Seikatsusha - you a ...

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Recruitment, Power point, Automation, Leadership Skill, Budgeting

ประเภทงาน:

งานประจำ

About your role Lead GT & Makro sales performance analytics, forecasting, reporting, and business planning. Serve as the single source of truth for key performance data, providing actionable insights to drive business performance, manage risks and opportunities, and improve forecast accuracy. Partner with Sales, Demand Planning, Trade Marketing, Finance, and related functions to support decision-making, while driving dashboard development, reporting automation, and process improvements. What You'll Do Own and lead the GT & Makro sales planning process and tools to deliver gross sal ...

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.
• 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:

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:

Big Data, Power BI, Python

ประเภทงาน:

งานประจำ

• Data Modeling & Machine Learning: พัฒนา ทดสอบ และนำ Machine Learning Models ไปใช้งานจริง (Production) เพื่อสนับสนุนการแก้ไขปัญหาและสร้างโอกาสทางธุรกิจ เช่น Sales Forecasting, Optimization, Fraud Detection และ Use Cases อื่น ๆ ที่เกี่ยวข้อง.
• Advanced Analytics: วิเคราะห์ข้อมูลโดยใช้เทคนิคทางสถิติขั้นสูงและ Algorithms เพื่อค้นหารูปแบบ (Patterns) ความสัมพันธ์ และข้อมูลเชิงลึกจากข้อมูลขนาดใหญ่ (Big Data) ตั้งแต่ขั้นตอน Data Exploration ไปจนถึง Advanced Analytics.
• Dashboard & Reporting: พัฒนา ดูแล และปรับปรุง Dashboard ด้วย Power BI เพื่อใช้ติดตาม ...
• Business Analysis: วิเคราะห์ข้อมูลเพื่อค้นหา Insights แนวโน้ม (Trends) โอกาสทางธุรกิจ และสาเหตุของปัญหา เพื่อสนับสนุนธุรกิจต่าง ๆ ภายใน BCP Group เช่น Marketing, Refinery, Solar, Biofuel และธุรกิจอื่น ๆ ที่เกี่ยวข้อง.
• Data Interpretation & Business Insights: แปลผลข้อมูลและผลการวิเคราะห์ให้เป็นข้อเสนอแนะที่สามารถนำไปปฏิบัติได้ (Actionable Insights) เพื่อเพิ่มรายได้ ลดต้นทุน หรือเพิ่มประสิทธิภาพในการดำเนินงานของธุรกิจ เช่น โรงกลั่นน้ำมัน สถานีบริการ และธุรกิจอื่น ๆ.
• Insight Communication: จัดทำ Data Visualization และนำเสนอผลการวิเคราะห์ที่ซับซ้อนให้อยู่ในรูปแบบที่เข้าใจง่าย สามารถสื่อสารกับผู้บริหารและหน่วยงานธุรกิจได้อย่างมีประสิทธิภาพ โดยสามารถใช้ Power BI ในการนำเสนอข้อมูลได้เป็นอย่างดี.
• Business Value Delivery: สามารถเชื่อมโยงผลงานด้าน Data & Analytics ให้เกิด Business Value ที่วัดผลได้ และรับผิดชอบ KPI ที่เกี่ยวข้องกับคุณค่าทางธุรกิจ เช่น Revenue Enhancement, Cost Saving, Productivity Improvement หรือ Efficiency Improvement.
• ปริญญาตรี/โท สาขาวิทยาการคอมพิวเตอร์, สถิติ, คณิตศาสตร์, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ทำงานด้าน Data Analytics/Business Intelligence 1-3 ปี.
• ทักษะการเขียนโปรแกรม Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) อย่างดี.
• เชี่ยวชาญการใช้ SQL สำหรับดึงข้อมูลในระดับสูง.
• ทักษะในการใช้เครื่องมือ Visualization (Power BI).
• มีความเข้าใจบริบททางธุรกิจ (Business Acumen) และสามารถสื่อสารข้อมูลที่ซับซ้อนได้ดี.
• พฤติกรรมและคุณลักษณะที่คาดหวัง (Behavioral Competencies).
• Collaboration & Teamwork: มีทัศนคติในการทำงานเป็นทีม พร้อมให้ความร่วมมือและสนับสนุนเพื่อนร่วมงานเพื่อให้ทีมสามารถบรรลุเป้าหมายร่วมกัน.
• Business Mindset: สามารถมองงานด้าน Data & Analytics ในมุมมองของธุรกิจ และมุ่งเน้นการสร้างผลลัพธ์ที่สามารถนำไปใช้ประโยชน์และสร้างคุณค่าให้กับองค์กรได้จริง.
• Problem Solving: มีความสามารถในการวิเคราะห์ปัญหาอย่างเป็นระบบ สามารถค้นหาสาเหตุและนำข้อมูลมาใช้ในการพัฒนาแนวทางแก้ไขที่เหมาะสม.
• Communication: สามารถสื่อสารข้อมูลเชิงเทคนิคและผลการวิเคราะห์ให้ผู้ที่ไม่มีพื้นฐานด้าน Data เข้าใจได้อย่างชัดเจน.
• Ownership & Flexibility: มีความรับผิดชอบต่องาน มีความยืดหยุ่น และพร้อมสนับสนุนงานในช่วงเวลาที่จำเป็นเพื่อให้งานหรือโครงการสามารถดำเนินการได้ตามเป้าหมาย.
• ลักษณะและเงื่อนไขการทำงาน (Working Conditions).
• สามารถปฏิบัติงานประจำสำนักงานตามเวลาทำงานของบริษัท 5 วันต่อสัปดาห์.
• สามารถสนับสนุนงานด้าน Data Preparation, Data Loading, Data Cleansing หรือการนำระบบขึ้น Production นอกเวลาทำงานปกติหรือในวันหยุดได้เป็นครั้งคราว ตามความจำเป็นของโครงการ.

ทักษะ:

Digital Marketing, Automation, Salesforce, Assurance

ประเภทงาน:

งานประจำ

• With offices in 152 countries and nearly 328,000 professionals, we are one of the world's leading professional services networks, helping organisations and individuals create lasting value through Assurance, Tax and Advisory services. For over 40 years, we have contributed to the Middle East's transformation journey, partnering with governments and businesses to deliver sustainable solutions. Today, more than 12,000 of us across Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, Palestine, Qatar, Saudi Arabia and the UAE are shaping the region's future.
• Line of Service Overview.
• Internal Firm Services (IFS) is the trusted foundation of PwC, delivering innovative managed services and operational capabilities that enable our clients' evolving needs. A career in IFS offers diverse opportunities across Human Capital, Finance, Technology, Clients & Markets, Marketing & Communications, Risk & Quality, Partner Development, Office Management, and Managed Services. We don't just support the business - we shape it, driving strategies and initiatives that power growth and transformation across PwC Middle East.
• Business Unit Overview.
• Marketing & Communications at PwC Middle East shapes our brand and voice to reflect our purpose of building trust and solving important problems. We craft compelling narratives, manage communications, and deliver integrated campaigns that connect with clients and communities. Through strategic storytelling, creative design, and impactful media engagement, we ensure consistent messaging and memorable experiences that bring PwC's commitment to transformation and sustained outcomes to life.
• How You'll Contribute.
• Digital strategy and operating model.
• Own the end-to-end digital operating model across paid media, CRM, website and analytics.
• Establish clear digital governance, role boundaries and decision rights to reduce duplication and late-stage rework.
• Ensure digital is engaged early in campaign planning, with agreed timelines, feasibility checks and defined content freeze points.
• End-to-end digital activation.
• Own delivery of digital marketing activation across paid media, CRM journeys, website publishing and campaign platforms.
• Scale demand generation through stronger use of paid media, including account-based marketing and leadership visibility campaigns.
• Transform the website into a strategic growth engine, supporting engagement, personalisation and measurable conversion signals.
• Oversee Salesforce Marketing Cloud automation, journey development and targeting improvements.
• Ensure digital execution is aligned to priority campaigns and narratives.
• AI enablement and intelligent workflows.
• Lead AI enablement across Campaigns, Digital and Sales Enablement.
• Identify and deploy practical AI use cases that improve campaign planning, content optimisation, targeting, reporting and workflow automation.
• Platform governance and infrastructure.
• Oversee governance of marketing platforms including Salesforce, Marketing Cloud, website CMS, paid media tools, Asana and analytics platforms.
• What You'll Bring.
• Significant experience leading digital marketing and analytics functions within a complex B2B or professional services environment.
• Proven track record in paid media, CRM automation, website optimisation and performance measurement.
• Strong understanding of Salesforce Marketing Cloud, CRM ecosystems and marketing analytics platforms.
• Experience designing scalable digital operating models and governance frameworks.
• Demonstrated ability to link digital performance to commercial outcomes.
• Practical experience applying AI tools to marketing workflows, optimisation or reporting.
• Experience leading and developing digital or analytics teams.
• How You'll Make a Difference.
• At PwC Midde East, we expect all our people to embody the skills and behaviours of.
• The PwC Professional.
• framework, helping us deliver on our strategy while growing and developing as leaders at every level.
• Why You'll Love Working at PwC.
• At PwC Middle East, you'll find more than just a job - you'll build a meaningful career, supported by rewards and benefits that help you thrive. We offer competitive pay, comprehensive benefits, and programs that promote well-being, balance, and personal growth. You'll have access to continuous learning, digital upskilling, and a collaborative environment that values innovation, mentorship, and diversity. Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially here. Discover more about.
• Life at PwC Middle East.

ทักษะ:

Business Development, Statistical Analysis, Analytical Thinking, Project Management, Marketing Strategy, Digital Marketing, Recruitment, Google Ads, Tableau, YouTube, SQL, SEO

ประเภทงาน:

งานประจำ

• Team Leadership & Development.
• Manage, mentor, and develop a team of 2-3 marketing specialists.
• Set team priorities and OKRs aligned to partnership goals.
• Conduct performance reviews and career development conversations.
• Foster a culture of experimentation, learning, and accountability.
• Strategic Marketing Leadership & P&L Ownership.
• Set overall marketing strategy and influence ROI targets; optimize investment levels to ensure we hit partnership goals.
• Guide team on channel strategies and ensure execution excellence.
• Own the full marketing P&L for the partnership.
• Design experimentation roadmap to validate strategic hypotheses.
• Monitor channel health and guide team to drill into anomalies or opportunities.
• Oversee dashboard/reporting development and team analytics capability.
• Analytics Strategy & Insights.
• Define analytics roadmap and experimentation strategy for the team.
• Write SQL queries to answer strategic business questions and guide team on complex analysis.
• Guide team on measurement frameworks and experiment design.
• Synthesize insights into executive-ready recommendations with business impact quantification.
• Build team capability in analytics and experimentation.
• Strategic Planning & Executive Stakeholder Management.
• Develop annual marketing roadmap and quarterly plans aligned to partnership goals.
• Lead weekly syncs with partner marketing leadership.
• Present quarterly business reviews to Agoda leadership (Director/VP level).
• Own the annual planning process and budget allocation across channels.
• Partner with Agoda's commercial and product teams on partnership optimization.
• Pitch strategic initiatives to partner executives and navigate differing viewpoints with influence and data.
• Program & Project Management.
• Lead large, multi-workstream initiatives end-to-end.
• Build detailed project plans with risk mitigation and milestone tracking.
• Establish governance cadence and reporting mechanisms.
• Ensure disciplined execution across markets and teams.
• Analytical & Technical Skills.
• SQL proficiency (daily usage for analysis; comfortable working with multiple tables and complex joins).
• Strong analytical thinking with ability to translate data into actionable insights.
• Comfort with marketing analytics tools (Google Ads, attribution platforms, dashboards).
• Bonus: Experience with experimentation design and statistical analysis.
• 7-10+ years in marketing, growth, or analytics roles.
• Marketing Channel Knowledge.
• Understanding of performance marketing fundamentals (PPC, metasearch, app marketing, or SEO).
• Experience optimizing marketing campaigns toward ROI/profitability targets.
• Familiarity with attribution models and incrementality measurement.
• Background in digital marketing, growth marketing, or marketing analytics preferred.
• Leadership & Stakeholder Management.
• 5+ years people management experience or demonstrated team leadership.
• Ability to influence without direct authority in a matrix organization.
• Executive communication skills - comfortable presenting to VP/Director level stakeholders.
• Required: Complex stakeholder management including partner relationships at senior levels.
• Cultural sensitivity for cross-border collaboration.
• Execution Excellence.
• Exceptional project management discipline.
• Ability to manage multiple concurrent initiatives.
• Strong attention to detail without losing strategic altitude.
• Business Orientation.
• Understands P&L drivers and growth mechanics.
• Makes data-informed decisions.
• Focused on impact, not activity.
• What We Offer.
• Ownership & Impact.
• You're not executing someone else's strategy - you're owning the outcomes.
• Test new ideas, run experiments, see direct impact on partnership performance.
• High visibility to leadership; your metrics are partnership KPIs.
• Learning Environment.
• Work with Agoda's best-in-class marketing practices.
• Experimentation culture with clear measurement and learning.
• Complex, ambiguous problems that build problem-solving skills.
• London.
• PricingStrategy.
• Travel.
• 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:

Good Communication Skills, Tableau, Python, SQL, English, Thai

ประเภทงาน:

งานประจำ

• Analytics Process & Framework Improvement:- Take end-to-end ownership of medium-sized analytics projects, defining methodologies to deliver reliable, scalable, and reproducible solutions.
• Contribute to analytics-wide frameworks and integrate operations/marketing workflows into established data solutions.
• Influence & Stakeholder Collaboration:- Collaborate with direct stakeholders and adjacent cross-functional teams to align data initiatives with operational goals.
• Communicate analytical solutions to mid-to-senior level partners, providing data-backed rationale to support decision-making.
• Data Solutions and Innovation:- Explore and propose workable, optimal solutions to challenges considering technical and operational constraints.
• Proactively address blockers within the team to keep projects moving forward.
• Mentorship & Team Growth:- Mentor junior analysts by sharing technical best practices, guiding problem-solving approaches, and helping them develop their analytical capabilities.
• Consistently seek out opportunities to improve personal technical skills and upgrade internal team processes and frameworks.
• What Essential Skills You Will Need.
• 4 years+ of analytical experience conjugated with business acumen, preferably in the e-commerce or the Internet industry.
• Bachelor's degree in Statistics, Analytics, Mathematics, Engineering or other quantitative subjects.
• Advanced experienced of analytical tools such as Excel (VBA, Pivot), database querying (SQL, Presto, Hive), visualisation and reporting tools (Tableau, PowerBI, Holistics).
• Advanced experience of programming languages (Python, R).
• Strong ability to work with complex data sets.
• Good communication skills to translate analytics specificities for all audiences.
• Full professional working proficiency in English is required, on top of fluency in Thai.
• Life at Grab.
• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.
• What We Stand For at Grab.
• We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

ทักษะ:

Electronics, Automation

ประเภทงาน:

งานประจำ

The company, founded in 1988, is one of the leading producers in the world for power and thermal management solutions. Delta is also a major regional player in several product segments including industrial automation, displays, and networking. As an energy-saving solutions provider with core competencies in power electronics and innovative research and development, Delta's business categories include Power Electronics, Automation, and Infrastructure.

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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, 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.
• THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED).
• Location: Bangkok, Thailand (*Not open for remote work).
• As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
• 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. We develop win-win relationships and leverage Agoda's unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
• As a Business Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
• In this Role, you'll get to.
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed.
• At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI.
• Advanced working knowledge and hands-on experience in SQL.
• Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably).
• Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R).
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.).
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• Experience in conducting A/B testing experimentation.
• Strong experience in finding data insights and provide business recommendation to the business.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven in both decision making and performance measurement.
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.
• MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
• Asian market experience.
• Travel industry / e-commerce / tech / consulting experience.
• sanfrancisco.
• 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:

2 ปีขึ้นไป

ทักษะ:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, 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.
• THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED).
• Location: Bangkok, Thailand (*Not open for remote work).
• The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda's supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
• As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
• In this Role, you'll get to.
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed.
• At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI.
• Advanced working knowledge and hands-on experience in SQL.
• Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably).
• Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R).
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.).
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• Experience in conducting A/B testing experimentation.
• Strong experience in finding data insights and provide business recommendation to the business.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven in both decision making and performance measurement.
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.
• MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
• Asian market experience.
• Travel industry / e-commerce / tech / consulting experience.
• sanfrancisco.
• 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:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• Work Experience.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.