เงื่อนไขการค้นหา

ทักษะ:

SQL, Javascript, Research

ประเภทงาน:

งานประจำ

• Manage and maintain large datasets related to affiliate operations, ensuring data accuracy and integrity.
• Develop, optimize, and execute SQL queries to extract, manipulate, and analyze data for reporting and strategic planning.
• Use JavaScript, HTML, and CSS to design, implement, and enhance data visualization tools and dashboards.
• Provide in-depth analysis of affiliate program performance, identifying trends and recommending actionable strategies.
• Collaborate with internal teams (key account, campaign marketing, commercial, product) to define metrics, set KPIs, and support data-driven decisions.
• Automate routine reporting tasks and build dynamic dashboards to streamline affiliate program monitoring.
• Research and resolve data discrepancies, ensuring reliable and consistent reporting across the organization.
• Monitor the performance of affiliate campaigns and provide recommendations to improve effectiveness.
• Stay updated with the latest tools and technologies for data analysis and reporting to implement best practices.
• 4-5 years of experience in a data analysis role, preferably within an e-commerce or affiliate marketing environment.
• Advanced proficiency in SQL for data extraction, manipulation, and analysis.
• Hands-on experience with JavaScript, HTML, and CSS for data visualization and dashboard creation.
• Strong understanding of data management, reporting, and analytics tools.
• Proven ability to analyze complex datasets and provide clear, actionable insights.
• Detail-oriented, with excellent problem-solving and critical-thinking skills.
• Effective communication skills to present findings and recommendations to non-technical stakeholders.
• Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
• Ability to work independently and as part of a team in a fast-paced environment.

ทักษะ:

Data Analysis, Big Data, SQL, English

ประเภทงาน:

งานประจำ

• Analyze Internal Data such as Traffic, Car Parking, Wi-Fi, Customer (Local & Global Citizen), Promotion, Loyalty Program Proposition, Member data and tenants including the new business data sets in the future to understand the customer insight in depth.
• Bring insights from Data Scientist to analyze to find the business opportunities, process improvement and find new initiate new business ideas for sales and revenue increase including enhancing Customer Engagement.
• Analyze to find the customer need and insights from consolidating existing data. This is to keep tracking on the consumer behavior and consumer preference so that the company can present the proper products, services and marketing communications according to each customer target group.
• Analyze the business data in depth for marketing campaigns by both Offline and Online channels to accomplish the expected objectives.
• Analyze the data on return of investment from marketing activities and Loyalty Programs, this would enhance learning curve on investment for Marketing and extend the business ideas for all related stakeholders to work effectively.
• Support internal parties in terms of providing data analysis from Analytics products of all properties, ONESIAM Super App to drive the data-led organization.
• Verify and ensure the quality of the data before distributing to internal parties to be accurate, updated and effective enough preparing for data analysis.
• Manage a small group member on data analyst.
• Perform other tasks as assigned.
• Graduated from Bachelor or Master Degree in Business, Computer Science, Engineering or other related fields.
• At least 10 years of strong experience in Data Analysis for big data.
• Able to use analytic tools such as SQL, Python, PySpark, etc.
• Good at storytelling for the data analysis.
• Good command in English.
• Experience in manage a small of members before.
• Possess detail-oriented, communication, analytical, strategic thinking skills.

ทักษะ:

SQL, Cloud Computing, Software Development

ประเภทงาน:

งานประจำ

• Gather and analyze software requirement to efficiently address business needs.
• Design system architecture and database.
• Develop functional specification and system design specification.
• Ensure quality of deliverable, develop system test cases and conduct User Acceptance Testing.
• Implement and provide training to end user.
• Provide production support and advise solutions to solve the production issues.
• Bachelor s degree or higher in Computer Science, Computer Engineer or any related fields.
• Minimum of 8 years experience with analysis, design and implement the enterprise software system.
• Strong knowledge of system analysis and design.
• Strong knowledge of RDBMS and SQL.
• Good knowledge of Cloud Computing.
• Good interpersonal and business-handling skills, with the ability to manage expectations and explain technical detail.
• Ability to work in a team environment delivering quality software that meets requirements working to a timeline.
• Motivated to be continually enhancing your skills to be aware of the latest software development.

ทักษะ:

ETL, Big Data, SQL

ประเภทงาน:

งานประจำ

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ทักษะ:

Data Analysis, Project Management, SQL

ประเภทงาน:

งานประจำ

• People leadership.
• Foster a positive team culture through open feedback, collaboration, recognition, and clear communication of performance expectations and CEG/ WFM objectives.
• Oversee team performance against targets, supporting specialists in overcoming obstacles, and providing guidance to facilitate problem-solving and effective decision-making.
• Upholding Agoda Value and CEG Leadership behaviours with high standard of professionalism.
• WFM Reporting & data analysis.
• Capacity Modelling: Participate in the design and implementation of capacity modelling activities and projects, focusing on enhancing the accuracy of volume forecasting and other valuable metric.
• Data management: Collaborate with internal stakeholders (Analytics, Ops, HR) on design, and manage tracking for WFM key metrics.
• Data analysis/ approach: Recommend actions for maintaining SLAs, identifying process gaps through deep dives and implementing improvements,.
• Reporting and presentation: Preparing and presenting team performance data, challenges, and opportunities.
• CollaborationCollaborate with local WFM teamProvide regular updates on team performance, traffic trends, ongoing projects, challenges, and opportunities.
• Actively participate in leadership meetings by sharing best practices, offering constructive feedback, and contributing to group improvements.
• Stay informed about company products, updates, goals, decisions, and projects to align team efforts effectively.
• Collaborate with other teams/Stakeholder:Work closely with stakeholders to understand the gaps and work towards the solution.
• Partner with GSV and Operations teams on various initiatives and projects.
• Management:Stay updated on key company, team, and departmental updates to ensure alignment with organizational priorities.
• Collaborate to deliver on CEG, divisional, and project objectives while maintaining a focus on integrity and compliance.
• Coaching and giving feedback.
• Provide constructive and creative one-on-one coaching and feedback to WFM team members to help them achieve their best performance.
• Regularly review performance with Capacity Planners and the team through performance reports, dashboards, observations, buddying sessions, and system audit reviews.
• Address underperformance effectively by utilizing the Performance Improvement Plan (PIP) process when necessary.
• COMPETENCIES REQUIRED.
• Analytical Ability & Problem Solving.
• Can visualize, articulate, conceptualize, or solve complex problems using the data available.
• Decision making ability.
• Set a course of action purposely chosen from different alternatives to achieve company objectives.
• Effective communication (Verbal and written).
• Delivers, receives, and interprets ideas and information, presents information appropriately to a diverse range of audiences, and influences partner decisions Excel/Power Point Skills.
• Flexibility and Agility.
• Can adjust behavior to new information and changing circumstances. Be open to new ways of doing things and always experiment with new methods. Works effectively in a dynamic environment.
• KPI management.
• Execute a KPI plan designed to help achieve and evaluate the success in reaching the company goals.
• Listening and influencing.
• Practice attentive and active listening. Can influence strategies that persuade key stakeholders to take action that will promote shared interests and business goals.
• Process Improvement.
• Organize, evaluate, plan, and implement improvements in our internal and external processes and practices. Actively work on creating better processes once changes take place.
• Reporting.
• Be able to confidently give a written account of business metrics, projects and team performance based on data, observations, or investigations.
• Result driven.
• Driving high standards to accomplish challenging goals. Works hard to achieve them.
• Time / workload management & prioritization.
• Creating a work environment where tasks and responsibilities are accomplished successfully within the time available.
• Coaching.
• Support and develop team members to achieve a specific personal and professional goal by guiding and training.
• Develop and Manage team.
• Govern and coordinate the team to perform in their job. Learn the skills, potential and ambitions of the team members and define long term success.
• Operational Planning & Coordination.
• Create and execute a detailed plan with the aim to provide a clear vision on how the team, department will contribute to the achievement of the company's strategic goals.
• People training.
• Identify training needs, create, and develop trainings to help team member's specific knowledge or skill to improve performance in their current roles.
• Presentation.
• Clearly conveys information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
• Team level KPI management.
• Create and execute a team KPI plan designed to help achieve and evaluate the success in reaching the company goals.
• Experience being a functional lead.
• Experience in setting functional level OKRs.
• Experience in presenting to Director-level stakeholders.
• Project Management qualifications (e.g. Prince or SixSigma).
• Experience in SQL, Python, metabase, etc.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Oracle, SQL, Payroll, Human Resource Management

ประเภทงาน:

งานประจำ

• ให้คำแนะนำปรึกษาเกี่ยวกับการใช้โปรแกรมระบบบริหารงานบุคคล.
• ทดสอบโปรแกรมและวิเคราะห์ปัญหาที่เกิดขึ้น รวมถึงการติดต่อประสานงานกับทีมงานอื่น ๆ เพื่อช่วยในการแก้ไขปัญหาให้ลูกค้า.
• ติดต่อประสานงานกับลูกค้า.
• ดูแลการให้บริการลูกค้าให้เป็นไปตามเวลาที่กำหนด.
• วุฒิปริญญาตรี สาขาสถิติ หรือคอมพิวเตอร์.
• มีประสบการณ์ 1 - 3 ปี ในการจัดทำเงินเดือน หรือให้บริการลูกค้า สำหรับโปรแกรมระบบเงินเดือนหรือระบบบริหารงานบุคคล.
• ประสบการณ์เกี่ยวกับการใช้ Oracle Database, SQL command และโปรแกรมระบบเงินเดือนต่าง ๆ.
• มีความรู้ระบบ HR จะพิจารณาเป็นพิเศษ.

ทักษะ:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ทักษะ:

Digital Marketing, Social Media Management, SQL, English

ประเภทงาน:

ฝึกงาน

• Engage in marketing insights projects by analyzing client channel strategy, data and performance and effectively communicating findings.
• Help clients design and setup automated marketing journeys using experience and data led thinking.
• Help clients identify the right marketing key performance indicators (KPIs), highlight areas of improvement, and influence strategy.
• Build strong relationships with client digital and marketing leaders to provide strategic advice on channel expansion, optimization, and business growth.
• Solve challenging business problems creatively, efficiently, and independently, especially when faced with time and operational constraints or ambiguity.
• Deliver on multiple initiatives in the same time frame with minimal supervision.
• Plan, manage and execute digital marketing plan that includes (but not limited to) creative campaigns, social media management, analytics and advertising campaigns.
• Serve as advisor to clients in digital marketing solutions with analysis of reports in consultation with support teams.
• Manage key accounts of existing and prospect clients.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Interns across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• Who we are looking for:Available to start internship in either May, June or August with a minimum commitment of 10 weeks.
• Currently pursuing a degree in Marketing or equivalent.
• Interest in marketing analytics/strategy, business analytics, management consulting, sales operations.
• Advance knowledge of PowerPoint, including the ability to use PowerPoint to communicate analytical insights effectively to stakeholders.
• Experience with impactful data-related or analytics projects and visually presenting and communicating findings with minimal supervision.
• Intermediate/Advanced knowledge of SQL.
• Team player with effective interpersonal and communication skills.
• Demonstrated leadership and teamwork within or outside a work setting.
• Exceptional problem-solving ability. Logical reasoning, creative thinking, comfort with numbers, and the ability to untangle complex issues.
• Strong passion for consulting, ability to adapt and cope in a fast pace, challenging work hours and environment.
• Fluent verbal and written English.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
• This role is open to individuals who possess a valid permit or authorization to work in the respective countries they are applying for.#LI-NK Requisition ID: 106798In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

PHP, SQL, Automation

ประเภทงาน:

งานประจำ

• Scope of responsibilities: STL plant, and as the part of Domain Leader need to support another site partially.
• As Digital Transformation representative to drive all digital development and deployment across factory and comply with Schneider Cybersecurity policy and Schneider Digital development standard.
• As digital & analytics representative to define the governance and support analytics deployment on the factory site and support in term of analytics competency developm ...
• Fulfill MMR (Minimum Mandatory Requirement) Smart Factory to get Advanced Certification.
• Reduce Non-Value Added (NVA) process for organization through digital development and enhance existing process for each department.
• Improve Energy Management to be more advance through advanced Analytics.
• Improve Assets Performance Management to be more advance through advanced Analytics.
• Develop Digital Best Practices as part of Continuous Improvement and Actively share in Analytics Community and share best practices to other sites.
• Deploy digital analytics solution on data operation to strengthen collaboration across East Asia.
• Support organization to develop process governance for each KPI and standard documentation.
• Developing the Web Based Application (.Net, PHP, HTML, LEAP).
• Developing Database (Ms. SQL, My SQL).
• Developing RPA (Robotic Process Automation).
• Tableau or BI Dashboard creation.
• Data Analytic (Business Analyst).
• Manufacturing Dashboard.
• QualificationsDigital & Analytics Projects.
• Advanced analytics through AI & Gen AI.
• Experience Lean Office deployment through digital solutions.
• Experience Lead Continuous Improvement in the factory.
• Computer Science, Computer Engineering, Mechatronics, Industrial Automation.
• Above 5-8 years in Digital Transformation & Process Automations.
• Analytics Development & Deployment.
• Artificial Intelligence & Generative Artificial Intelligence.
• Web Application Development & Database Management.
• Robotic Process Automation, Business Intelligence.
• Enterprise Resource Planning (ERP) & Manufacturing Execution System (MES).
• Bachelor s degree in engineering, Data Science, Computer Science, or a related field; master s degree preferred.
• Proven experience (5+ years) in digital transformation, data analytics, or a related role within manufacturing or industrial operations.
• Strong understanding of manufacturing processes and operational excellence methodologies (Lean, Six Sigma, etc.).
• Proficiency in data analytics tools (e.g., Tableau, Power BI, Python, R) and enterprise software solutions (e.g., ERP, MES).
• Knowledge of Programming language (C#, javascript, angular, etc).
• Knowledge of Programming platform (LEAP,.Net, Ecostruxure, etc).
• Knowledge of database (Ms.SQL Server, mySQL).
• Knowledge on RPA and Tableau Dashboard.
• Able to make Business Intelligence Dashboard.
• Knowledge on Industrial/manufacturing Operation.
• Digital Learner and high digital literacy.
• Excellent problem-solving skills and the ability to communicate complex data insights to non-technical stakeholders.
• Strong leadership and project management skills, with a track record of successfully leading cross-functional teams.
• Primary Location: TH-11-Samut Prakan.
• Schedule: Full-time Unposting Date: Ongoing

ทักษะ:

Data Analysis, Python, SQL

ประเภทงาน:

งานประจำ

• Data Collection and Cleaning: Gather data from various sources and prepare it for analysis by cleaning and checking for completeness or errors.
• Data Analysis: Utilize statistical techniques to study, analyze, discover insights, and derive meaningful data-driven conclusions.
• Reporting: Create reports in various formats, presenting data through graphs, features, or figures for stakeholders' use.
• Collaboration: Work with other teams to plan data analysis or resolve specific issues affecting organizational goals.
• Performance Monitoring: Define and track key performance indicators (KPIs) to measure the effectiveness and efficiency of various projects.
• Strategic Planning: Assist the management team in strategic planning by using data analysis to improve workflows and processes.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as PowerBI, R, Python, SQL. C++.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL).
• Knowledge of ETL tools and techniques for data integration and transformation is a plus.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Finance, Accounting, SQL

ประเภทงาน:

งานประจำ

• Partner with the Finance Collection and Chargeback teams to refine financial operations, ensuring smooth daily and month-end processes, and provide strategic guidance on new initiatives.
• Engage as a finance, collection and chargeback specialist in business discussions, influencing tech/process decisions, and advocating for finance user interests.
• Develop and test finance tech solutions that adapt to upstream changes, enhancing system functionality and user satisfaction.
• Address and reduce operational issues, continuously improving finance systems and processes, especially within Collection and Chargeback operations.
• Assess the effects of upstream changes on finance systems/reports and collaborate for smooth implementation.
• Facilitate communication to resolve software/tech problems and contribute to the setup and maintenance of financial systems.
• Expand Your Knowledge: Deepen your understanding of Collection and Chargeback within the travel domain.
• Over 8 years in finance systems and operations, with a focus on the collection and chargeback domain in the tech and e-commerce sectors.
• A track record as a techno functional expert in collection and chargeback systems, driving operational excellence and authoritative guidance.
• Strong experience in stakeholder management and the ability to sway decisions.
• A Bachelor's degree in Business Administration, Finance, Accounting, or a related field, along with a professional accounting qualification.
• Have decent understanding of risk and controls related to collection and chargeback process.
• Familiar with the top KPIs for collection and chargeback domains touching on finance systems as well as finance business side.
• Excellent stakeholder management with exceptional presentation skills.
• Capability to work alongside Product, Tech, and Finance teams on various projects and initiatives.
• Exceptional numerical, analytical, problem-solving, and change management skills, coupled with the ability to innovate and make critical judgements.
• Basic SQL proficiency.
• A keen eye for detail, self-motivation, and a mindset geared towards continuous improvement and learning.
• A high level of dependability, urgency, results-orientation, and strong business acumen.
• Experience working in products like Wallets, Payment gateways etc.
• Experience working in finance cross-functions (Finance operations, treasury, Procurement etc.).
• Familiar with local/US GAAP and knowledge & compliance in financial & accounting management.
• Experience in project management using various methodologies (e.g. Agile, SDLC).
• Experience working in data analytics.
• Experience working with Oracle fusion ERP or SAP.
• Experience with Robotic Process Automation (RPA) tool.
• LI-NS2.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Salesforce, Automation, SQL

ประเภทงาน:

งานประจำ

• Webinar Strategy & Execution: Plan, promote, and execute webinars that drive lead generation and pipeline acceleration.
• Content Development: Work with subject matter experts to craft compelling webinar topics, scripts, and presentations tailored to different audiences.
• CRM & Database Management: Ensure seamless lead capture, tracking, and follow-up by integrating webinar data into CRM (e.g. Salesforce/ HubSpot).
• Technology & Tools: Manage webinar platforms (Zoom) and integrate them with HubSpot, Salesforce, and marketing automation tools.
• Performance Measurement & Optimization: Track and analyze key performance metrics including attendance rate, SQL generation, and conversions to optimize future webinar strategies.
• Promotion & Audience Growth: Develop and execute multi-channel promotional campaigns using email marketing, paid media, and organic social to maximize webinar attendance and engagement.
• B2B Marketing Experience: 5+ years in a marketing role, preferably with a focus on demand generation or customer engagement.
• CRM & Tech Stack Expertise: Hands-on experience with CRM tools, and marketing automation tools.
• Webinar & Digital Tools Proficiency: Strong working knowledge of webinar platforms (e.g., Zoom, ON24, GoToWebinar) and their integration with marketing systems.
• Content & Messaging: Ability to develop compelling content that resonates with different customer segments and sales priorities.
• Data-Driven Approach: Skilled in measuring webinar performance, tracking attendance rates, SQLs, and conversions, and making data-driven optimizations.
• Cross-Functional Collaboration: Experience working with sales teams across multiple regions, ensuring alignment between marketing and revenue teams.
• Project Management: Ability to manage multiple webinars and related campaigns simultaneously in a fast-paced environment.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

SQL, Python, SAS, English

ประเภทงาน:

งานประจำ

• Operating and support internal audit strategies in IT and Engineering process.
• Due to professional internal audit standards for work with corporate stakeholders (auditee).
• Gather information and analyze data related to audit plan using any techniques.
• Analyze data, risks, and sufficiency of the internal control system in the organization s operations.
• Data investigation and monitoring.
• Presenting and writing the summary issue in the report and the data visualization.
• Bachelor or higher in Computer Engineering / Computer Science / IT or any related field.
• Experience at least 2 years in Data Analytics, Information Security, IT Auditor related field.
• Good understanding of data management such as data governance, data analytics, data security, etc.
• Good developing of SQL command, Python, Visual C+, and programming techniques.
• Experience in data visualization tools such as PowerBI, SAS Viya, Tableau etc.
• Skill of project management or team leader.
• Professional certificate of CISA (Certified Information Systems Auditor) or related certificates are advantage.
• Good command in English and Computer literacy.

ทักษะ:

Kubernetes, SQL

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to create technology that empowers journey teams to deliver significant change to the client experience.
• Write great code and help others write great code.
• Improve scalability, stability, and efficiency of our existing systems.
• Support and contribute to the technical product.
• Challenge the proposed technical design from the tech lead.
• Work in partnership with the different department to drive and facilitate best in class technical implementation.
• Oversee the Technical production and be proactive on the different area to improve.
• Troubleshoot product and system issues.
• Create reports on usage and metrics.
• Degree with a focus on technical skills such as Comp-Sci or related field is highly preferred.
• Kubernetes certification is a plus.
• Previous working experience as a Software Engineer, Tech Consulting for + 3 year.
• Proficient in NodeJS, Kubernetes, CI/CD, SQL, Unit Test, Integration Test and API development.
• Good communication in both Thail and Englisj.

ทักษะ:

Automation, Mobile App Testing, SQL, English

ประเภทงาน:

งานประจำ

• Work with the product and engineering team to review product requirements and technical specifications.
• Create well-structured and comprehensive test plans and cases.
• Be a stakeholder responsible for key testability metrics when accepting changes from engineers.
• Analyze, report, and prioritize issues to the relevant teams.
• Develop and apply testing processes for new and existing products (both manual and automated testing).
• Oversee and maintain test automation solutions.
• 4+ years of relevant work experience.
• Professional written and verbal English.
• Experience working in an agile environment.
• Solid understanding of testing methodology and automation.
• Experience in writing, executing, and monitoring manual and automated test suites.
• Experience in testing for browser compatibility.
• Experience in API testing.
• Experience in mobile app testing.
• Understanding of SQL and ability to write and profile queries.
• Exposure to JavaScript, Node.js, and React to be able to debug and isolate issues.
• Exposure to CI/CD, DevOps, monitoring, alerting.
• Compensation and Benefits.
• Competitive base salary.
• 10 days of annual leave in the first year, growing by 1 day per year to 15 days per year.
• 5 days of business leave.
• 10 - 20% Share of commission from owner and client referral.
• Health insurance on top of standard social security.
• BOI-sponsored visa & work permit for expats.
• Work Culture.
• International work environment and culture.
• 5 work days per week with 2 days work-from-home.
• Open communication that encourages feedback and idea-sharing.
• Innovative mindset that empowers creativity and new ideas.
• Established and defined career paths.
• Monthly Celebration & Parties.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Java, Spring Boot, SQL

ประเภทงาน:

งานประจำ

• Develop, maintain application to meet business requirement.
• Working with development team, System Analyst, QA and related team.
• Design and prepare the programming solution for development phase.
• Guide or coach Junior Software Engineer to meet standard approach.
• Develop, maintain CI/CD pipeline to support development phase.
• Qualifications Bachelor s or master s degree in Computer Science, Computer Engineer, Information Systems or related subject.
• 0-7 years of experience in applications development (JAVA is preferrable).
• Experienced in building out a services platform or Payment Solutions.
• Excellent problem-solving, communication, collaboration and time management skills.
• Knowledge of Java, Spring Boot, Rest API, JPA, SQL, RDBMS, Kafka, GIT, Docker, Microservice and Cloud Framework/Architecture is a plus.
• Knowledge of React js and mobile development (both IOS and Android) is a plus.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Data Analysis, SQL, Financial Modeling

ประเภทงาน:

งานประจำ

• Lead your own team of analysts/managers on selected projects/requests from the top management.
• Help shape and drive internal performance analysis (trends, scenarios) relevant to corporate goal setting.
• Conduct industry, and competitor data analysis to support the definition of priorities and key issues.
• Develop draft business strategies and share with corporate strategy function.
• Support the creation of high-quality materials for senior stakeholders for both internal and external audiences.
• Help organize Quarterly Business Reviews (QBRs) and other select team ceremonies (e.g., all hands, townhalls).
• Track Objective and Key Results (OKRs) and conduct deep-dives on strategic topics as required.
• Coach analysts/manager to draft SQL queries to gather data from multiple databases within Agoda/ work with the analytics team to gather the required information for the analysis.
• Experience working in a similar role, ideally in a technology or travel focused company.
• Degree in BS or BA required.
• 6-8 years of Consulting experience is a strong plus.
• Strong analytical and problem-solving skills.
• Strong financial modeling skills.
• Ability to think strategically, learn fast and understand new business dynamics.
• Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process.
• Excellent ability to manage and influence senior stakeholders.
• Knowledge of SQL / Tableau or willingness to invest time to learn.
• This role will be based in Bangkok, Thailand. Relocation package will be provided.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Automation, Finance, SQL, DevOps, Python

ประเภทงาน:

งานประจำ

• Automation of Analytics PipelinesDevelop and Maintain Automated Data Pipelines: Build and maintain robust data pipelines for reporting and analytics using cloud-native technologies such as AWS Glue, Redshift, and Lambda.
• Streamline Automation Frameworks: Ensure the high availability, performance, and cost-efficiency of data workflows by adhering to Zero Ops by Design principles, ensuring that data pipelines run seamlessly with minimal manual intervention.
• Timely, Accurate Reporting: Automate reporting processes to ensure consistent, accur ...
• Advanced Reporting & AnalyticsReporting Systems Design & Optimization: Design, implement, and optimize reporting systems that deliver actionable insights to key business stakeholders.
• BI Tools & Dashboards: Use visualization tools such as Tableau, Grafana, and AWS Quick Sight to create dynamic, self-service dashboards and reports, empowering teams to make data-driven decisions.
• Data Modeling and Schema ManagementDevelop Robust Data Models & Schemas: Design and maintain data models and schemas that support analytics, reporting, and operational needs.
• Single Version of Truth: Ensure consistency, accuracy, and reliability by establishing a "single version of truth," providing a consistent data framework across the organization.
• Quality-as-a-Service DevelopmentBuild Scalable Quality Solutions: Design and maintain "Data/AI Quality-as-a-Service" solutions to monitor data drift, analyze performance metrics, and detect data issues early in the process.
• Zero-Ops Design for Quality Monitoring: Ensure the high availability and performance of quality solutions while aligning with zero-ops design principles, minimizing operational overhead.
• Cross-Functional CollaborationCollaborate with Teams: Work closely with data scientists, analysts, and application developers to integrate data solutions seamlessly into their workflows, enabling advanced analytics and enhancing decision-making capabilities.
• Compliance & SecurityEnsure Data Security & Compliance: Uphold data security and privacy standards while ensuring all solutions comply with banking regulations and industry governance requirements.
• Governance Standards: Maintain rigorous governance practices for data access, privacy, and security across all automated reporting systems.
• Continuous ImprovementTechnology Advocacy: Stay informed about emerging trends in cloud data engineering, automation, and analytics. Advocate for the adoption of new technologies that can enhance system capabilities and maintain a competitive edge.
• Drive Continuous Improvement: Continuously refine processes and solutions to ensure they remain optimized for both performance and cost..
• Essential Skills & ExperienceBachelor's degree in Computer Science, Engineering, Business Information System or a related field.
• 2+ years of experience in data engineering, automation, or analytics engineering, focusing on reporting and business intelligence in the financial or banking sector.
• Expertise in cloud platforms (AWS preferred) and technologies such as AWSGlue, Redshift, Lambda, and S3.
• Experience with BI/Visualization tools (e.g., Tableau, Grafana, AWS QuickSight).
• Strong understanding of data modeling principles, ETL/ELT processes, and creating data schemas for reporting and analytics.
• Proficiency in SQL, Python, or other relevant programming languages.
• Familiarity with "Zero Ops by Design" principles and automation frameworks..
• Preferred SkillsKnowledge of financial regulations and their impact on data governance and reporting in the banking sector.
• Experience in building and maintaining "Data/AI Quality-as-a-Service" solutions for monitoring and ensuring data quality.
• Familiarity with DevOps practices and CI/CD pipelines for analytic engineering solutions.
• Experience in setting up and maintaining high-performing, scalable reporting systems.
• Understanding of advanced analytics and machine learning concepts.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร".

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Legal, Statistics, SQL, English

ประเภทงาน:

งานประจำ

• Analyze the online travel ecosystem, markets, competitive landscape and user requirements.
• Conceptualize, launch and optimize products and features, experiment, test their performance and iterate quickly.
• Work collaboratively with Engineering, Marketing, Legal and UX teams on cutting-edge technologies.
• Develop innovative solutions to some of the world's difficult problems by collaborating as needed across regions, product areas, and functions.
• 7+ years of Product Management experience.
• Proven ability to leverage analytics and quantitative methods to inform and influence decision-making.
• Strong data skills.
• Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders.
• Experience developing and launching products.
• Experience leading global product vision, go-to-market strategy and design discussions.
• Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change.
• Hands-on mentality.
• MBA or Master's degree in Math, Economics, Computer Science or Statistics.
• Data tools - SQL, Python, R, or equivalent.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.