เงื่อนไขการค้นหา

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Architecture, Netsuite, Oracle, Linux, Scrum, UNIX, SAP, ERP, SQL

ประเภทงาน:

งานประจำ

• 4+ years of Application/System Support experience in enterprise environments.
• Strong experience in incident management, troubleshooting, and SLA-driven support operations.
• Proficiency in SQL for data validation, analysis, and troubleshooting.
• Working knowledge of Linux/Unix, including log analysis and system troubleshooting.
• Understanding of APIs, integrations, and application-to-system dependencies.
• Familiarity with IT infrastructure (servers, networks, databases) and monitoring tools.
• Experience conducting Root Cause Analysis (RCA) and implementing preventive actions.
• Strong communication, stakeholder management, and ITIL-based service management skills.
• Preferred Skills and Experience.
• Experience supporting ERP/enterprise applications (SAP, Oracle EBS, PeopleSoft, NetSuite, Infor, Unit4, etc.).
• Familiarity with application modernization tools and initiatives (e.g., CAST).
• Experience working in Agile/SCRUM and DevSecOps environments.
• Understanding of application architecture, middleware, integrations, and databases.
• Exposure to cloud platforms such as AWS, Azure, or Oracle Cloud.
• Experience with application deployments, releases, and change management.
• Ability to support risk assessment, mitigation planning, and remediation activities.
• Strong collaboration skills with cross-functional teams, vendors, and business stakeholders.
• Being You.
• The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging being a valued, respected, trusted member of the team is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
• What You Can Expect.
• Your career with us isn't just a job it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health because we know that when you feel your best, you do your best.
• From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
• We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
• We want you to thrive here and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
• Get Referred!.
• If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Network Infrastructure, Microsoft Azure, Windows Server, Procurement, Sharepoint, VMware, SQL, SAS, English

ประเภทงาน:

งานประจำ

• Infrastructure Management (Primary Focus).
• Oversee, manage, and monitor all aspects of the company's IT infrastructure including servers, network systems, cloud services, storage, and security solutions.
• Ensure system performance, availability, scalability, and security across all infrastructure components.
• Perform daily system operations: health checks, performance monitoring, backup verification, and user account management.
• Plan and execute installation, configuration, migration, upgrades, and ongoing maintenance of infrastructure hardware and software.
• Provide backup and onsite support for infrastructure operations when required.
• Conduct root cause analysis on recurring incidents and recommend long-term improvements.
• Technical Support & Troubleshooting.
• Troubleshoot infrastructure and system issues with timely, effective, and permanent resolutions.
• Classify, assess, and prioritize incidents and change requests based on business impact.
• Collaborate with internal teams and external vendors to test and deploy fixes, patches, and updates.
• Formulate clear action plans to resolve issues within defined SLAs.
• Application Support (Secondary Focus).
• Provide L1-L2 application support by coordinating with business users and application vendors.
• Analyze, investigate, and maintain business applications using SQL or other technical tools.
• Support deployment and configuration of application updates, enhancements, and integrations.
• Maintain documentation including Functional Specs, Technical Specs, and User Guides.
• Process Improvement & Documentation.
• Continuously improve operational processes to enhance service quality, reliability, and efficiency.
• Prepare and maintain technical documentation, SOPs, configuration guides, and user manuals.
• Report critical issues, recurring incidents, and risk areas to management with recommended actions.
• Additional Responsibilities.
• Provide IT support for company events, new store openings, and other business activities.
• Manage vendor relationships, coordinate procurement, and review quotations for IT equipment and services.
• Perform other IT operations and infrastructure duties as assigned by Head of IT.
• Diploma or Bachelor's degree in IT, Computer Engineering, Computer Science, or related field.
• Minimum 3 years of hands-on experience in IT infrastructure operations.
• Experience in retail, fashion, FMCG, or multi-branch company environments is strongly preferred.
• Good command of English.
• Technical Skills (Must-Have).
• Windows Server administration: Active Directory, Group Policy, DNS, DHCP.
• Network infrastructure: Firewall (FortiGate preferred), Switches, VLAN, Wi-Fi/AP management.
• Virtualization: VMware.
• Backup & recovery solutions: Veeam or equivalent.
• Microsoft 365 / O365 administration: Exchange Online, SharePoint, Teams, Azure AD.
• Technical Skills (Nice-to-Have).
• Cloud platforms: AWS or Microsoft Azure (basic to intermediate).
• Azure infrastructure management: Azure Virtual Machines, Azure Virtual Network, Azure Active Directory, and Azure resource provisioning.
• Azure Blob Storage: managing storage, containers, access tiers, lifecycle policies, and SAS/access key management.
• POS system support or retail branch IT experience.
• ITSM / ticketing system experience (e.g., Manage Engine, ServiceNow).

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:

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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Automation, Cloud Computing, XML

ประเภทงาน:

งานประจำ

• Perform modifications and fix errors in the TIL system.
• Run query dataset as requested by end users.
• Support DataFix, manage Master.
• Configuration, and execute data queries to ensure data accuracy and operational readiness.
• Examine inputs from users and analyze for possible modifications to the TIL system.
• Provide overall support related to TIL systems.
• Maintain and supervise database operations, and solve any related problems that occurred.
• Test and ensure program quality.
• Development.
• Lead development in-house applications/programming to improve the functionality and capability of the existing system.
• Architect solutions that improve system scalability, maintainability, and security.
• Collaborate with the team in planning and executing development tasks.
• Troubleshoot complex technical issues and provide technical support to the development team.
• Co-ordination.
• Deal with external vendors in case of outsourcing, evaluate and negotiate initially on budget, plan, timeframe, and requirements.
• Coordinate with TPIT regarding the Server, Backup/Restore Database, network, Google mail, and other vendors to investigate and solve issues.
• Education.
• Bachelor's Degree or Master's Degree in Computer engineering, Computer Science or related fields.
• Work Experience.
• At least 3-5 years. experiences in software development or relevant fields, with C#.Net, is advantage.
• Experienced in design and basic administration of relational databases (Especially Oracle).
• Code development as per the technical specification and software development methodology.
• Strong technical knowledge of Software Development processes.
• Knowledge of computer program design methods and techniques, as well as the computer logic and overall computing environment.
• Ability to multi-task and stay organized in a dynamic work environment.
• Proactive and self-motivated with a strong desire for continuous learning.
• A strong Service mindset to satisfy customer needs be an advantage.
• Team player, pleasant and enthusiastic personality with good interpersonal skills.
• Good communication skills, both verbal and written in English.
• Experience in Automation in one or more RPA technologies (UiPath) is preferred.
• Willingness to learn and become an expert in RPA and other automation technologies.
• Knowledge of CI/CD processes using GitLab.
• Familiarity with performance testing tools like JMeter.
• Ability to write automated test scripts using frameworks such as Robot Framework.
• Essential and Preferable: Technical skills and experience.
• Front-end: JavaScript, TypeScript, HTML5, CSS, Bootstrap, jQuery, Ajax.
• Back-end:NET Core, Node.js, Web API, web services, Python (will be considered as an advantage).
• Tools: VS Code, Visual Studio.NET ecosystem: C#,.NET Framework,.NET Core, ASP.NET MVC, LINQ, Entity Framework.
• Database: Oracle SQL, Microsoft SQL Server.
• Version Control: Git, GitFlow, GitLab, CI/CD.
• Frameworks: Angular, React, Flutter.
• Reporting tools: Crystal Reports, RDLC.
• XML Technologies: XML, XSLT, XPATH.
• Cloud & Automation: Cloud API, UiPath.
• Automate testing tool: J-meter, Robot Framework.
• Microservices architecture.
• Technical Skills.
• Must have 1: Microsoft SQL Server.
• Must have 2: Oracle Database.
• Must have 3: API: Swagger.
• Must have 4: ASP.NET Framework.
• Must have 5: C#.NET.
• Must have 6: HTML/CSS and CSS Frameworks (e.g. Emotion, Stitches).
• Must have 7: Java.
• Must have 8: Javascript.
• Must have 9: Javascript (AngularJS).
• Must have 10: JS/TS + Node/Express/NestJS.
• Soft Skills.
• Must have 1: Fast Learner.
• Must have 2: Work independency.
• Must have 3: High Responsibility/Commitment.
• Must have 4: Flexibility and Adaptability.
• Must have 5: Multitasking and Prioritizing.
• Must have 6: Working Under Pressure.

ทักษะ:

Software Development, Cloud Computing, Microsoft Azure, Architecture, Postgre SQL

ประเภทงาน:

งานประจำ

• วางแผน กำกับ และบริหารงานด้านการพัฒนาระบบดิจิทัลและแพลตฟอร์มการเรียนรู้ของมหาวิทยาลัย ให้สอดคล้องกับนโยบาย กลยุทธ์ และความต้องการของผู้ใช้งาน.
• วิเคราะห์ ออกแบบ และพัฒนาระบบสารสนเทศ แพลตฟอร์มการเรียนรู้ดิจิทัล และระบบสนับสนุนการทำงานที่เกี่ยวข้อง โดยคำนึงถึงประสิทธิภาพ ความปลอดภัย ความเสถียร และความสามารถในการรองรับผู้ใช้งานจำนวนมาก.
• ออกแบบและพัฒนาโครงสร้างระบบ (System Architecture) รวมถึงการเชื่อมต่อและบูรณาการระบบ (System Integration) ระหว่างระบบต่าง ๆ เพื่อให้สามารถทำงานร่วมกันได้อย่างมีประสิทธิภ ...
• ควบคุมและกำกับการพัฒนาโปรแกรมทั้งในส่วน Backend, Frontend, Database และ API รวมถึงสามารถตรวจสอบและแก้ไขปัญหาทางเทคนิคที่เกิดขึ้นในระบบได้.
• บริหารจัดการระบบ Cloud Infrastructure, Web Server, Database และบริการที่เกี่ยวข้องกับแพลตฟอร์มการเรียนรู้ดิจิทัล ให้มีความพร้อมใช้งาน มีประสิทธิภาพ และรองรับการขยายตัวในอนาคต.
• กำกับดูแลระบบ Learning Management System (LMS) และแพลตฟอร์มการเรียนการสอนออนไลน์ รวมถึงการพัฒนา ปรับปรุง และเชื่อมต่อระบบให้ตอบสนองต่อรูปแบบการเรียนรู้ที่หลากหลาย.
• วิเคราะห์และวินิจฉัยปัญหาของระบบ Cloud, Network, Application และระบบการเรียนรู้ดิจิทัล พร้อมกำหนดแนวทางแก้ไข ป้องกันปัญหาซ้ำ และลดผลกระทบต่อการให้บริการแก่ผู้ใช้งาน.
• กำกับดูแลด้านความมั่นคงปลอดภัยของระบบ (Cybersecurity) และการบริหารจัดการสิทธิ์การเข้าถึงข้อมูลและระบบ รวมถึงประสานงานกับหน่วยงานที่เกี่ยวข้องเพื่อให้ระบบเป็นไปตามมาตรฐานด้านความปลอดภัย.
• ศึกษาและประเมินเทคโนโลยีใหม่ เช่น AI, Cloud Technology, Automation, DevOps และ Digital Platform เพื่อนำมาประยุกต์ใช้ในการพัฒนาระบบและเพิ่มประสิทธิภาพการเรียนรู้และการทำงานของมหาวิทยาลัย.
• กำหนดแนวทางและมาตรฐานด้านการพัฒนาระบบ เช่น Coding Standards, Version Control, Deployment และ System Documentation เพื่อให้การพัฒนาระบบมีคุณภาพและสามารถดูแลต่อเนื่องได้.
• บริหารโครงการพัฒนาระบบ ตั้งแต่การวิเคราะห์ความต้องการ การออกแบบ การพัฒนา การทดสอบ การนำระบบขึ้นใช้งาน และการติดตามประเมินผลหลังการใช้งาน.
• บริหารและพัฒนาทีมงานด้านระบบและเทคโนโลยี มอบหมายงาน ให้คำปรึกษาด้านเทคนิค ติดตามความก้าวหน้า และพัฒนาศักยภาพของทีมให้สามารถปฏิบัติงานได้อย่างมีประสิทธิภาพ.
• ประสานงานกับหน่วยงานภายใน ผู้ใช้งาน และผู้ให้บริการภายนอก (Vendor/Partner) เพื่อรวบรวมความต้องการ แก้ไขปัญหา และดำเนินโครงการพัฒนาระบบให้บรรลุเป้าหมาย.
• จัดทำเอกสารทางเทคนิค เช่น System Architecture, System Flow, ER Diagram, API Documentation และ Technical Documentation ที่เกี่ยวข้องกับระบบ.
• ติดตามและจัดทำรายงานประสิทธิภาพของระบบ รวมถึงเสนอแนวทางในการปรับปรุงและพัฒนาระบบต่อผู้บังคับบัญชา.
• ปฏิบัติหน้าที่อื่น ๆ ตามที่ได้รับมอบหมาย.
• ไม่จำกัดเพศ อายุไม่เกิน 45 ปี.
• สำเร็จการศึกษาระดับปริญญาตรีหรือปริญญาโท สาขาวิทยาการคอมพิวเตอร์ วิศวกรรมคอมพิวเตอร์ เทคโนโลยีสารสนเทศ วิศวกรรมซอฟต์แวร์ ระบบสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Software Development, System Development, Digital Platform, Cloud หรือ IT Infrastructure ไม่น้อยกว่า 5 ปี และมีประสบการณ์ในการบริหารหรือเป็นผู้นำทีมไม่น้อยกว่า 2 ปี.
• มีความสามารถในการวิเคราะห์ ออกแบบ และพัฒนาระบบที่มีความซับซ้อน รวมถึงสามารถจัดทำ System Architecture, Flowchart, ER Diagram และ Technical Documentation ได้.
• มีประสบการณ์ด้านการพัฒนาโปรแกรม โดยสามารถใช้ภาษาและเทคโนโลยีที่เกี่ยวข้อง เช่น PHP, Java, C++, Python, JavaScript, HTML, CSS หรือ Framework ที่เกี่ยวข้องได้อย่างน้อย 1-2 เทคโนโลยีในระดับดี.
• มีความรู้และประสบการณ์ด้าน Database เช่น MySQL, PostgreSQL, SQL Server หรือ Database ที่เกี่ยวข้อง รวมถึงสามารถออกแบบโครงสร้างฐานข้อมูลและเขียน SQL ได้.
• มีความรู้และประสบการณ์ด้าน Cloud Computing และ Web Server เช่น AWS, Microsoft Azure, Google Cloud หรือ Cloud Platform อื่น ๆ รวมถึงการบริหารจัดการ Server และระบบที่เกี่ยวข้อง.
• มีความเข้าใจเกี่ยวกับ Network, API, System Integration และระบบ Authentication/Authorization รวมถึงสามารถวิเคราะห์และแก้ไขปัญหาที่เกี่ยวข้องกับระบบได้.
• มีความรู้พื้นฐานถึงระดับดีด้าน Cybersecurity, Data Security, Access Control และแนวทางการรักษาความปลอดภัยของระบบสารสนเทศ.
• มีประสบการณ์ใช้งาน Git หรือ Version Control System และหากมีประสบการณ์ด้าน CI/CD, Docker, Container หรือ DevOps จะได้รับการพิจารณาเป็นพิเศษ.
• มีประสบการณ์ด้าน Learning Management System (LMS) หรือ Digital Learning Platform เช่น Moodle, Canvas, Blackboard, Open edX, Google Classroom หรือ Microsoft Teams for Education จะได้รับการพิจารณาเป็นพิเศษ.
• หากมีประสบการณ์ด้านการพัฒนาระบบที่รองรับผู้ใช้งานจำนวนมาก การบริหารระบบ Cloud หรือการพัฒนา Digital Platform ในองค์กรขนาดใหญ่ จะได้รับการพิจารณาเป็นพิเศษ.
• มีทักษะการบริหารโครงการ สามารถวางแผน กำหนดระยะเวลา ติดตามความคืบหน้า และบริหารจัดการความเสี่ยงของโครงการได้.
• มีภาวะผู้นำ สามารถบริหารทีม มอบหมายงาน ให้คำปรึกษาด้านเทคนิค และสร้างความร่วมมือภายในทีมได้เป็นอย่างดี.
• มีทักษะการสื่อสารและการประสานงานที่ดี สามารถสื่อสารเรื่องทางเทคนิคกับผู้ใช้งานหรือบุคลากรที่ไม่มีพื้นฐานด้าน IT ให้เข้าใจได้.
• สามารถเดินทางไปปฏิบัติงานต่างจังหวัดได้ตามความเหมาะสม.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, Cloud Computing

ประเภทงาน:

งานประจำ

• Working in project teams to perform key steps in the data analysis process, specifically data management process.
• Support build of big data environments that enable analytics solutions on a variety of big data platforms including cloud as required by the client, and create robust documentation of solutions, architecture, automation workflows, and operation procedures.
• Demonstrated ETL solution design and build expertise, work stream management skills, ...
• Using data analytics tools and techniques to identify patterns, extract outliers, and perform analyses to address client problems.
• Contribute to written deliverables and reporting of outcomes to clients.
• Optimizing existing processes and leverage AI-enabled tools and automation to improve efficiency, quality, and data integrity through appropriate validation and professional judgement.
• Working in project teams to develop data analytics solutions and data-driven technology assets for Audit engagement team and external clients.
• Developing, testing, and validating data solutions features, following development best practices and architecture guidelines.
• Developing competence in a broad range of technologies and frameworks for managing all aspects of the data lifecycle.
• Undertaking technical training to acquire and demonstrate expertise in data analysis and design and build of solutions.
• Keeping abreast of developments across the data and analytics landscape, with the desire to translate cutting-edge techniques and technologies into our project outputs.
• Role Expectations.
• Senior.
• Overseeing an engagement/project -ensure quality of the deliverables and assist less experienced colleague.
• Understanding business knowledge process including Sales, Purchase, Inventory and Accounting.
• Contribute to engagement planning, executing and delivery.
• Build and maintain professional relationships both internally and externally.
• Associate.
• Utilizing obtained skillset to complete the assigned task/assignment in an efficient and effective manner.
• Self-motivated and seeking to gain new knowledge of the business.
• Bachelor's degree from an accredited university or foreign equivalent in engineering, computer science or other quantitative disciplines like statistics, math, or others plus relevant programming experience.
• This role will utilize the candidate's data management and advanced analytics skills. A core competency of technical skills and the ability to quickly develop expertise is essential.
• Database skills - designing and querying relational databases such as Oracle DB, Microsoft SQL Server, etc. Experience in Database Administration is a plus.
• Data manipulation skills - manipulating and cleansing data on a large scale with consideration in fulfilling standards and objectives. This includes ETL and SQL development. Experience in data mart or data warehouse is a plus.
• Programming skills - one or more programming language, e.g. R, Python, C#, Java, VBA.
• Web application skills - familiarity with frameworks such as Django, Flask, FastAPI, React, or similar. Knowledge of APIs, authentication, and web application development fundamentals is a plus.
• Communication skills - Written and verbal skills, and the ability to explain technical analysis to a non-technical audience is essential.
• A desire to understand business problems and to evaluate the results in a business context.
• High degree of personal motivation, ability to self-manage whilst being professional and personable.
• Experience of solving issues and dealing with the uncertainty that can arise in project situations, including having a problem solving and can-do attitude.
• Proficiency in spoken and written Thai and English.
• Involved professionally in Data Analytic procedure.
• Experienced with well-known ERP system such as SAP, Oracle ERP, Microsoft Dynamics.
• We offer the successful candidate an attractive remuneration package and the opportunity to work in a dynamic and exciting environment.
• KPMG Phoomchai Audit Ltd.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

.NET, SQL

ประเภทงาน:

งานประจำ

• Gathers and analyzes software requirement to efficiently address business needs.
• Provides team and user with technical recommendation and procedural design.
• Liaison between user, operation team, other support area, IT vendor to provide superior customer service.
• Develops functional specifications and system design specifications for user engagements.
• Responsible for the application design, application development that meets system standards from beginning to end.
• Co-operates and facilitates team and related participant interaction.
• Strong background in SQL programming and Microsoft SQL Server 2017 management.
• Ability to participate and share knowledge for Business process re-engineering, Process control review and design, Lean.
• Male/Female, Bachelor or higher degree in Computer Science or related field, Ages not over 30 years.
• Knowledge of RDBMS, Data Modeling, Data Warehouse and.NET is preferable.
• Self-motivated, ambitious and quickly absorb.
• Problem solver.
• Strong analytical and organizational skills.
• Work independently and effectively as part of a team.
• Handling multiple tasks and responsibilities in a dynamic environment.
• Excellent verbal and written communication skills.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• knowledge of financial product such as Equity, Derivative, Mutual Fund, Stock lending and borrowing etc. is preferable.
• Apply now ".

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

.NET, SQL

ประเภทงาน:

งานประจำ

• Gathers and analyzes software requirement to efficiently address business needs.
• Provides team and user with technical recommendation and procedural design.
• Liaison between user, operation team, other support area, IT vendor to provide superior customer service.
• Develops functional specifications and system design specifications for user engagements.
• Responsible for the application design, application development that meets system standards from beginning to end.
• Co-operates and facilitates team and related participant interaction.
• Strong background in SQL programming and Microsoft SQL Server 2017 management.
• Ability to participate and share knowledge for Business process re-engineering, Process control review and design, Lean.
• Male/Female, Bachelor or higher degree in Computer Science or related field, Ages not over 30 years.
• Knowledge of RDBMS, Data Modeling, Data Warehouse and.NET is preferable.
• Self-motivated, ambitious and quickly absorb.
• Problem solver.
• Strong analytical and organizational skills.
• Work independently and effectively as part of a team.
• Handling multiple tasks and responsibilities in a dynamic environment.
• Excellent verbal and written communication skills.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• knowledge of financial product such as Equity, Derivative, Mutual Fund, Stock lending and borrowing etc. is preferable.
• Apply now ".

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

ERP

ประเภทงาน:

งานประจำ

• The MIS Manager is responsible for the oversight and development of the company's complete IT infrastructure, including networks, servers, Point of Sale (POS) systems, and Enterprise Resource Planning (ERP) systems. This role is crucial for analyzing data to support key business decisions.
• You will lead the IT team in managing various projects, ensuring data security, and providing technical support to all users, guaranteeing that our technology fully supports the company's business objectives.
• Develop and implement a comprehensive MIS strategy aligned with business goals.
• Oversee the integration of data from POS, ERP, CRM, e-commerce, and supply chain systems.
• Define and enforce data governance standards to ensure data integrity and consistency across stores and channels.
• Plan, design, and manage the entire corporate network, server, and database infrastructure to ensure high stability and availability.
• Oversee and enhance core retail business systems, including POS, Warehouse Management Systems (WMS), and ERP, to optimize performance.
• Manage data backup procedures and develop a Disaster Recovery Plan to ensure business continuity.
• Manage databases for sales, customer, and inventory data.
• Develop reports and dashboards using Business Intelligence tools (e.g., Power BI, Tableau) to provide actionable insights to management for strategic decision-making (e.g., sales analysis, customer behavior, promotional effectiveness).
• Lead IT projects from requirement gathering and planning to budget control and timely delivery.
• Coordinate with vendors for the procurement, negotiation, and implementation of new hardware and software.
• Establish and enforce IT security policies and measures to protect company data and systems, ensuring compliance with relevant standards and regulations (e.g., GDPR, PDPA).
• Lead, mentor, and develop the skills of the MIS team members.
• Supervise the IT Support/Helpdesk service to provide effective technical assistance to employees at the head office and retail branches.
• Bachelor's Degree or higher in Computer Science, Information Technology, or a related field.
• A minimum of 7-10 years of experience in MIS or a related IT field.
• At least 3-5 years of experience in a management or team leadership role.
• Crucially, direct experience in the retail, FMCG, or a multi-branch business environment is highly preferred.
• Expertise in managing Windows Server, Networks (LAN/WAN), and Virtualization (VMware/Hyper-V).
• Strong knowledge of database management (SQL Server).
• Hands-on experience with ERP systems (e.g., SAP, Microsoft Dynamics 365, Oracle) and retail POS systems.
• Proficiency in using Business Intelligence (BI) tools to create reports and dashboards.
• Solid understanding of IT security principles and data protection regulations.
• Strong leadership and team management abilities.
• Excellent project management, planning, and budgeting skills.
• Exceptional communication and interpersonal skills.
• Effective analytical and problem-solving capabilities.
• Proactive, innovative, and eager to learn new technologies.

ทักษะ:

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

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• 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, statistics or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2.
• Bengaluru.
• 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.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development, Architecture, Postgre SQL, Leadership Skill, Big Data

ประเภทงาน:

งานประจำ

• Data management and governance.
• Analytics and reporting platforms.
• AI and machine learning readiness.
• Modern cloud data architecture.
• This role spans consulting, solution architecture, technical delivery, customer engagement, and continuous platform improvement.
• Depending on experience, the role may also include leading technical teams, mentoring engineers, and supporting business development initiatives.
• Business Consulting & Customer Engagement.
• Engage with clients to understand business objectives and data challenges.
• Conduct workshops, discovery sessions, and assessments.
• Translate business requirements into scalable technical solutions.
• Support Sales and Presales activities.
• Contribute to proposals, SOWs, roadmaps, and estimations.
• Data Platform & Solution Architecture.
• Design enterprise-scale Data Platform architectures.
• Develop High-Level Design (HLD) and Low-Level Design (LLD).
• Data Warehouse.
• Data Lake / Lakehouse.
• Analytics Platforms.
• Data Governance Platforms.
• Streaming Data Platforms.
• AI-ready Data Foundations.
• Define data integration, storage, governance, security, and lifecycle strategies.
• Recommend modernization and cloud adoption strategies.
• Data Engineering & Platform Delivery.
• Implement and deliver Data Platform solutions.
• Support data ingestion, transformation, and integration processes.
• Participate in migration and modernization projects.
• Ensure scalability, reliability, performance, and operational readiness.
• Support deployment, testing, and handover to operations.
• Data Governance & Data Management.
• Support implementation of Data Governance frameworks.
• Implement Data Quality, Metadata Management, Data Catalog, and Data Lineage solutions.
• Work with OpenMetadata for metadata-driven governance and cataloging.
• Support Master Data Management (MDM) initiatives.
• Ensure compliance with data management standards and regulations.
• Data Integration & Streaming.
• Design and support ETL/ELT and CDC pipelines.
• Support batch and real-time data processing architectures.
• Contribute to event-driven and streaming solutions.
• Platform Monitoring, Security & Optimization.
• Implement monitoring and observability practices.
• Support performance tuning and capacity planning.
• Ensure security, access control, and compliance requirements.
• Improve reliability and operational efficiency of platforms.
• Technical Leadership.
• Provide technical guidance and mentoring to team members.
• Lead technical workstreams and delivery execution.
• Support project planning and governance activities.
• Collaborate with Sales and Presales teams on solution design.
• Act as a trusted advisor for Data Platform strategy and modernization.
• Define standards and reusable architecture frameworks.
• Support internal knowledge sharing and capability development.
• Education.
• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or related field.
• Experience.
• 5+ years of experience in Data Platform, Data Engineering, DBA, Data Architecture, or Data Governance.
• Experience delivering enterprise data projects and customer-facing engagements.
• Experience in consulting, system integrator, or professional services environments is preferred.
• Technical Skills.
• Database: RDBMS, performance tuning, HA, backup & recovery, DR, migration.
• (Oracle, SQL Server, PostgreSQL, MySQL, Azure SQL, AWS RDS).
• Data Platforms: Data Warehouse, Data Lake, Lakehouse, data modeling & pipelines.
• (Snowflake, Databricks, BigQuery, Redshift, Synapse, Microsoft Fabric).
• Data Integration: ETL/ELT, CDC, data ingestion, batch & real-time processing.
• (Kafka, Airflow, dbt, SSIS, Informatica, Talend).
• Big Data: distributed processing & large-scale data workloads.
• (Spark, Flink, Hadoop, Databricks).
• Data Governance: data quality, metadata, catalog, lineage, MDM, compliance.
• (Collibra, Alation, Informatica, OpenMetadata).
• Cloud: cloud data platforms and hybrid/multi-cloud architecture.
• (AWS, Azure, GCP, OCI).
• AI & Analytics (Optional): AI-ready data architecture, ML/GenAI support.
• (Azure AI Search, OpenSearch, Pinecone, Weaviate, pgvector).
• Monitoring: observability, performance, security, operations.
• (Datadog, Dynatrace, Prometheus, Grafana, Splunk, Zabbix).
• Soft Skills.
• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Customer-facing consulting mindset.
• Strong leadership and mentoring capabilities.
• Business-oriented thinking.
• Ability to work independently and in teams.
• Strong English communication skills.
• Preferred Qualifications.
• Experience in Data Modernization or Cloud Transformation programs.
• Exposure to AI/ML or Advanced Analytics initiatives.
• Experience in consulting, SI, or managed services environments.
• Cloud or Data Platform certifications.
• Experience across enterprise industries (Banking, Telco, Retail, Manufacturing, etc.).

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.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA 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:

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

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• 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.
• Fresh Graduates are welcome to apply!.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science or related fields).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• entrylevel.
• STRA#ANLS#MRKT#3#LI-TR2.
• Bengaluru.
• 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.
• 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:

Digital Marketing

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 B2B Digital Marketing team sits within Agoda's B2B Marketing organization and is responsible for delivering high quality, scalable marketing campaigns for our partners across B2B2C channels. We work closely with Commercial, Product, Data, and regional Marketing teams to ensure campaigns are efficiently executed, performance is clearly measured, and partners receive actionable, data driven recommendations that drive value for both Agoda and our partners.
• Our mission is to balance operational excellence with growth impact building repeatable, scalable frameworks that allow us to support dozens of partners at once, while still delivering insights tailored to each partner's performance and business context.
• Due to continued expansion,.
• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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

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.
• Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Microsoft Azure, Architecture, Python, DevOps, SAP, ERP, SQL, ETL

ประเภทงาน:

งานประจำ

• Design, develop, and optimize enterprise-scale data platforms on Microsoft Azure Cloud.
• Build scalable and secure ETL/ELT data pipelines to support Data Lake, analytics, and AI/ML initiatives.
• Ensure high-quality, reliable, and cost-efficient data architecture while driving continuous improvement and technical best practices.
• Collaborate with cross-functional teams to deliver robust data engineering solutions and mentor junior engineers.
• Design and develop scalable data pipelines and cloud-based data architecture using Azure Data Factory (ADF), Databricks, Microsoft Fabric, and SSIS.
• Build ETL/ELT processes to integrate data from multiple sources such as SAP, ERP systems, APIs, and Excel into enterprise Data Lake and databases.
• Develop and optimize SQL, Python, and PySpark scripts for large-scale data processing.
• Monitor daily data pipeline operations, troubleshoot complex technical issues, and perform root cause analysis.
• Ensure data quality, accuracy, security, and optimize database performance.
• Prepare technical documentation, operation manuals, and share best practices with the team.
• Support continuous improvement by adopting emerging technologies and mentoring junior data engineers.
• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related fields.
• Minimum.
• 5 years.
• of experience in Data Engineering or related roles.
• Strong experience with.
• Microsoft Azure., Azure Data Factory (ADF), Databricks, Microsoft Fabric, and Data Lake.
• Strong proficiency in.
• SQL Server, T-SQL, Python, and PySpark.
• Experience in designing Data Warehouse, ETL/ELT processes, and integrating data from ERP/SAP systems and APIs.
• Knowledge of Cloud Architecture, CI/CD, DevOps practices, and Database Performance Tuning.
• Strong analytical and problem-solving skills with the ability to perform root cause analysis.
• Passion for learning new technologies and mentoring team members.