เงื่อนไขการค้นหา

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Google Analytics, Data Analysis, Power BI, Tableau, SQL

ประเภทงาน:

งานประจำ

• Analyze business opportunities, deliver in-depth analysis, and propose solutions to Business to meet business objectives and targets.
• Recommend campaign mechanics, methodologies, and target segments for marketing campaigns based on customer behavior analysis.
• Provide performance tracking for the marketing campaigns, Ad-hoc and MIS reports.
• Develop and implement statistical models to improve campaign efficiency, provide test/control procedure, and monitor the model performance.
• Work closely with the product team to uncover trends and business insights in order to answer questions and solve business problems that lead to data-driven decisions and growth hacking strategies.
• Assist business team, data scientist, and IT teams to identify the product vision of new products/platforms, as well as validate if the products/platforms have achieved product/market fit including specifying metrics that matter and related visualized reports and dashboards.
• Create reports and dashboards that contain useful, actionable information using easy-to-understand visualization for relevant decision-makers.
• Master's Degree in MIS, IT, computer science, statistics, mathematics, business, or related field.
• Minimum of 3 years' experience in data analysis roles.
• Strong creative and analytical problem-solving capabilities.
• A product mindset - ask and address the most important analytical questions with a view on enhancing a product's impact.
• Experience in the data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation.
• Experience with data tools and languages like Google Sheets, Google Analytics, SQL, Tableau, Power BI, or similar.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Good Communication Skills, High Responsibilities, Teamwork, English

ประเภทงาน:

งานประจำ

• Edit and maintain technical product data for online catalogs and internal databases.
• Review and validate technical information before publication.
• Coordinate with internal teams and communicate with clients regarding data requirements and project progress.
• Prepare reports and collaborate with the team on productivity review activities.
• Perform other related duties assigned by the project leader.
• Bachelor's degree in any related field.
• At least 2 years of working experience.
• Strong Microsoft Excel skills.
• Good analytical skills and attention to detail.
• Good communication and coordination skills with clients and internal teams.
• TOEIC score of 750 or above, or equivalent English proficiency.
• Able to work effectively in a multicultural environment within a Japanese company and adapt to Japanese business practices.
• Preferred Attributes.
• Detail-oriented with a high level of accuracy.
• Able to learn technical products and systems quickly.
• Comfortable working with large volumes of technical data.
• Responsible, proactive, and able to manage multiple tasks while meeting deadlines.
• Interested in engineering, manufacturing, or industrial products..

ประเภทงาน:

งานประจำ

• Implementing and maintaining the deterministic or stochastic Prophet model, data conversion system, and database infrastructure to support actuarial analysis and reporting processes.
• Providing support in the Prophet modelling and data delivery processes to facilitate the fast-close initiative.
• Implementing new products into the deterministic Prophet model and enhancing the data conversion system and/or database infrastructure to support the new product implem ...
• Providing support to facilitate the implementation and testing of ad-hoc model and data change requests and/or project deliverables.
• Investigating, testing and resolving the Prophet model and/or data issues associated with new product implementation, ad-hoc model and data change requests, etc.
• Identifying and communicating about risks and issues in the Prophet modelling and data delivery processes.
• Preparing documentation of changes to the Prophet model, data conversion system, and database.

ทักษะ:

Accounting, English

ประเภทงาน:

งานประจำ

• Bachelor s degree of Business Administration business, Financial, Economics, Accounting.
• Experience in Banking industry at least 1 years.
• Good command of English.
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

ทักษะ:

Statistics, Big Data, Python

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Data Analysis, Database Development, Thai, English

ประเภทงาน:

งานประจำ

• สามารถวิเคราะห์และออกแบบระบบคอมพิวเตอร์ ระบบฐานข้อมูล.
• สามารถทำงานร่วมกับลูกค้าในการพัฒนาและแก้ปัญหาทางธุรกิจของลูกค้า โดยการประชุม รวบรวมความต้องการ และวิเคราะห์ข้อมูล.
• สามารถประสานงานกับทีมพัฒนาระบบคอมพิวเตอร์ตามความต้องการของธุรกิจและขอบเขตของโครงการ.
• จัดทำเอกสารที่เกี่ยวข้องกับการออกแบบระบบคอมพิวเตอร์ ระบบฐานข้อมูล เช่น Requirement Spec, Use Case, Functional Specification, Data Requirement, ER Diagram, Data Schema, Data Dictionary เป็นต้น.
• ควบคุมดูแลการทำงานของทีมพัฒนา ให้ทำงานอย่างถูกต้องตามที่ออกแบบ และตรงตามเวลาที่กำหนด.
• วุฒิการศึกษา: ปริญญาตรีขึ้นไป.
• สาขาวิชา: สาขาเทคโนโลยีสารสนเทศ, วิทยาการคอมฯ และสาขาอื่น ๆ ที่เกี่ยวข้อง.
• อายุ: 22 ปีขึ้นไป.
• ประสบการณ์: 0 - 10 ปี.
• มีบุคลิกภาพดี สามารถทำงานเป็นทีมได้ และมีความรับผิดชอบสูง สามารถทำงานภายใต้แรงกดดันได้.
• มีทักษะในการสื่อสารและนำเสนอ สามารถจับใจความสำคัญ วิเคราะห์ และสรุปเพื่อความเข้าใจในการทำงานที่ตรงกัน.
• มีความขยัน ตั้งใจ อดทน และมีทัศนคติที่ดีต่อบริษัท.
• มีความคิดสร้างสรรค์ และเรียนรู้สิ่งใหม่ ๆ ได้เร็ว.
• สามารถเดินทางไปทำงานนอกสถานที่ได้.

ทักษะ:

Scrum, Negotiation

ประเภทงาน:

งานประจำ

• Develop and maintain comprehensive project plans that outline project timelines, milestones, and resource allocation.
• Work collaboratively with Solution Architects, System Analysts, Engineering Managers, QA Leads, and Technical Team Leaders to ensure project delivery aligns with technical and business requirements.
• Act as the primary point of contact for external parties, including Bank IT, vendors, and other business units, ensuring requirements and deliverables are clearly commu ...
• Coordinate with the infrastructure team to secure necessary resources and support for the project's technical needs.
• Manage project budgets, track expenditures, and ensure financial efficiency without compromising project quality.
• Identify potential project risks and roadblocks early and proactively engage the appropriate resources to resolve these issues.
• Facilitate regular project status meetings and report on project progress to stakeholders and senior management.
• Ensure that all project documentation is kept up-to-date and is accessible to all team members and stakeholders.
• Champion the Scrum and Agile methodologies within the team, promoting continuous improvement in processes and delivery.
• Bachelor's degree in Business Administration, Computer Science, Information Systems, or a related field; PMP certification is a plus.
• Overall 5 - 8 Years of working experience and direct 3 - 5 years of working experience in Project Manager role.
• Proven experience as a Project Manager in a technology-driven environment, preferably within the financial services industry.
• Strong understanding of Agile and Scrum methodologies with hands-on experience in managing Scrum teams.
• Exceptional communication and negotiation skills, with the ability to manage stakeholder expectations effectively.
• Demonstrated ability to lead cross-functional teams and work collaboratively with technical and non-technical team members.
• Proficiency in project management software tools, metrics, and best practices.
• Experience in budget management and resource allocation in line with project demands.
• Why You ll Love Working With Us.
• At Krungsri Nimble, you ll join a passionate team working at the intersection of technology and banking innovation. We embrace an agile mindset where you ll have real ownership and the opportunity to influence system design and business outcomes. In our collaborative and transparent environment, we prioritize continuous learning to stay ahead of the curve. If you're looking for a role where you can make a responsible impact, grow your expertise, and help shape the future of digital banking, this is where you belong.
• Apply now and build something transformative with us!.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

ทักษะ:

Data Warehousing, Google Analytics, Problem Solving, Datastudio, QlikView

ประเภทงาน:

งานประจำ

Responsibilities:Work with business domain experts, data scientists and application developers to identify data that is relevant for analysisRetrieve, prepare, and process a rich data variety of data sourcesApply data quality, cleaning and semantic inference techniques to maintain high data qualityGain fluency in our business domain expertiseExplore data sources to better understand the availability and quality/integrity of dataQualifications:Experience with relational database systems with expertise in SQLExperience in data management, data warehousing or unstructured data environ ...

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Data Analysis, Power BI, Tableau, Python, Java, SQL

ประเภทงาน:

งานประจำ

• Collect, organize and interpret statistical information.
• Identify, manage and design the data environment including data sources, security, and metadata.
• Scrutinize information using data analysis tools.
• Generate meaningful results to support managements making important decision by identifying various facts and trends.
• Prepare reports and presentations based on analysis and present to managements.
• Be responsible for data governance as a data steward team member.
• Support the data warehouse in identifying and revising reporting requirements.
• Work with other departments to outline detailed requirements for a solution and ensure the delivered solution meets business requirements.
• High caliber Bachelor's/Master's degree in Computer Science, Computer Engineering, Applied Statistic or other related fields.
• 3-5 years of work experience as a data analyst, business analyst or a related field.
• Ability to work with stakeholders across departments in the organization and external vendors.
• Demonstrated experience in handling large data sets and relational databases.
• Knowledge of data visualization software (e.g. Power BI, Tableau).
• Working knowledge with programing languages (e.g. SQL, Python, R, Java) will be advantageous.
• Problem-solving and analytical skills.
• Good team-player.
• Self-motivation.
• Good communication and interpersonal skills.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• Apply now ".

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Data Analysis, Architecture, Automation, Big Data, Power BI, Tableau, Python, Hadoop, SQL

ประเภทงาน:

งานประจำ

• Data Analyst.
• we are seeking an experienced.
• Expert Data Analyst.
• with strong expertise in.
• data visualization, business intelligence architecture, and advanced analytics. In this role, you will lead the development of enterprise-level dashboards and analytics solutions that enable data-driven decision-making across the organization.
• You will collaborate closely with data engineers, data scientists, and business stakeholders to transform complex data into strategic insights that support innovation in retail and digital platforms.
• Data Visualization & BI Architecture.
• Lead the design and development of.
• enterprise-scale dashboards and analytics platforms.
• using tools such as QlikSense, Looker, Power BI, Tableau, or similar technologies.
• Establish.
• best practices and standards for data visualization, dashboard design, and reporting frameworks.
• Ensure dashboards deliver.
• clear, actionable insights for business leaders and operational teams.
• Advanced Data Analysis.
• Analyze.
• large-scale and complex datasets.
• to identify trends, patterns, and opportunities that support strategic decision-making.
• Apply.
• advanced analytical techniques.
• to support business optimization and performance monitoring.
• Provide.
• data-driven insights and recommendations.
• to support product, operational, and strategic initiatives.
• Data Management & Data Modeling.
• Design and maintain.
• data models, semantic layers, and reporting frameworks.
• for enterprise BI solutions.
• Collaborate with Data Engineers to ensure.
• high-quality, reliable, and scalable data pipelines.
• Define.
• data governance and data quality standards.
• for reporting and analytics.
• Stakeholder Collaboration.
• Partner with business units and product teams to.
• understand requirements and translate them into scalable analytics solutions.
• Present insights and analytical findings to.
• both technical teams and senior business stakeholders.
• Provide guidance and mentorship to.
• junior analysts and BI developers.
• Continuous Improvement.
• Identify opportunities to.
• improve analytics capabilities, reporting automation, and decision-support systems.
• Stay up to date with emerging trends in.
• data analytics, BI platforms, and data visualization technologies.
• Required.
• Bachelors or Masters degree in.
• Data Science, Computer Science, Statistics, Mathematics, or related fields.
• 6-8+ years of experience.
• in data analysis, business intelligence, or analytics roles.
• Strong expertise in.
• BI and data visualization platforms.
• such as QlikSense, Looker, Power BI, or Tableau.
• Advanced.
• SQL skills.
• for complex data extraction, transformation, and analysis.
• Strong understanding of.
• data modeling, dimensional modeling, and data warehousing concepts.
• Experience working with.
• large datasets and enterprise analytics environments.
• Strong analytical thinking and.
• problem-solving capabilities.
• Excellent communication skills with the ability to.
• translate data insights into business recommendations.
• Preferred.
• Experience working with.
• cloud-based data platforms.
• (AWS, Azure, or GCP).
• Familiarity with.
• big data technologies.
• such as Spark, Databricks, or Hadoop.
• Experience supporting.
• retail, e-commerce, or digital platform analytics.
• Knowledge of.
• Python or R for advanced data analysis.
• Experience implementing.
• data governance and BI strategy.

ทักษะ:

Project Management, Architecture, SQL, ETL, English

ประเภทงาน:

งานประจำ

• A Business and Data Analyst is a data analytic expert, who identify the business needs into data model, analytics, and business intelligent solutions. The job holder must be able to design, build, and implement BI solutions, with a view to driving business results.
• Key Accountabilities.
• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs ...
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor's degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, SQL

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED).
• Location: Bangkok, Thailand (*Not open for remote work).
• The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda's supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
• As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
• In this Role, you'll get to.
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed.
• At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI.
• Advanced working knowledge and hands-on experience in SQL.
• Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably).
• Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R).
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.).
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• Experience in conducting A/B testing experimentation.
• Strong experience in finding data insights and provide business recommendation to the business.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven in both decision making and performance measurement.
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.
• MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
• Asian market experience.
• Travel industry / e-commerce / tech / consulting experience.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Project Management, Recruitment, YouTube, 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.
• In the age of technology, things are constantly changing. The travel market is much the same, being more dynamic and complex than ever. Agoda's Legal team is well suited to take on the challenges presented, adopting a proactive mindset to tackle challenges and solve problems. We are quick on our feet, decisive, and collaborate with multiple departments. We hire out-of-the-box thinkers that are well grounded with ethics and legal knowledge to ensure that Agoda achieves the right results, the right way.
• The Global Privacy environment is changing at a speed never seen before and while this poses a significant challenge for global businesses such as ours to keep up with the laws, it also presents a great opportunity for you to be a part of a global data privacy team directly contributing to build the trust of our users, employees, and partners at Agoda.
• As a Data Privacy Analyst, you will support Agoda's Privacy Advisory function by helping the team provide timely, well-organized privacy legal advice across the business, while also keeping the engine room of the advisory practice running smoothly - from knowledge management to performance metrics. You will work closely with a world class privacy team comprising of subject matter experts, security professionals and technology teams in a global work environment.
• Conduct fact-finding for privacy advisory queries - gathering relevant business context, prior guidance and documentation to facilitate efficient legal assessment of requests.
• Provide support on privacy advisory matters, including drafting initial reviews and assessments under guidance.
• Support training and awareness initiatives and regulatory change management initiatives.
• Actively manage the privacy advisory repository from end-to-end.
• Establish, review & improve privacy policies, standards, and procedures.
• Identify & manage privacy risks associated with 3rd parties.
• Upkeep, maintain and improve privacy controls.
• Improve privacy team's efficiencies using data analytics (Metrics, Key Risk Indicators, Dashboards, Trend analysis).
• Provide project management support for specific privacy projects.
• A genuine interest in data privacy and/or technology law.
• 1-2 years' experience in Legal, Governance, Risk or Compliance disciplines.
• Excellent organizational skills and attention to detail.
• Great written and verbal communication skills.
• Well versed with MS Office suite.
• Willingness to go the extra mile to get the job done including routine and, administrative, tasks.
• Curiosity & willingness to explore privacy concepts and ask questions.
• Proficient in English.
• Basic understanding of privacy concepts or laws (GDPR, PDPA, etc).
• Experience with data/metrics tracking (Excel, dashboards, etc.).
• Prior exposure to legal document or template management.
• Ability to execute at pace and multi-task in an agile environment.
• A dynamic role in a fast-growing team of a reputable global company.
• Working in an international environment.
• Great opportunities for further development in data privacy, cybersecurity and artificial intelligence.
• Working in a team of flexibly minded and highly skilled professionals.
• 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:

Thai

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, economics, engineering, statistics or science).
• Fresh graduation are welcome.
• (0-1 years of experience).
• Ability to communicate fluently in English.
• Basic business acumen.
• Proficient in statistics and Excel.
• Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
• Familiar with A/B testing concepts.
• Works under close supervision and supports projects with guidance.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• Bengaluru.
• 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:

Social media

ประเภทงาน:

งานประจำ

• Handle.
• Social Media Data.
• Learn and understand the objectives of each business or industry assigned and set up the tools or crawlers in ways that can best collect data to directly serve the needs of clients from different industries.
• Gather and clean the unrelated data from the data collected.
• Code, categorize, and label the data from the voices of customers on social media.
• Display Social Media Data and Insights.
• Understand the basic of a business process and how a business and/or its stakeholders can leverage from having data to insightfully analyze the processed data and deliver that insights to clients.
• Incorporate data to create a report with the analysis using PowerPoint or PowerBI.
• Present reports to clients and handle inquiries in a professional manner.
• Use social media data to create and deliver quality reports to support clients business decision making and measure the business performance.
• Aged between 22-30 years old.
• Holds a bachelor degree or above in Economics, Statistics, Marketing, Business Management, or related field.
• Enjoys working with data! as you would be spending 80% of your time dealing with it Has creativity and able to make sense out of the social data to turn it into insights best serves the clients business objectives.
• Comfortable using MS Excel with knowledge of fundamental functions, and able to handle a large amount of data.
• Good at using MS PowerPoint and can create a professional report to present to clients Understand Research Methods Knowledge Base such as descriptive analysis Good analytical and logical thinking skills and experienced in working with data analyzation.
• Experienced in data visualization tools (e.g. Power BI, or Tableau).
• PREFERRED QUALIFICATION.
• Familiar with social media measurement, knows the matter values such as Engagement Rate, Interaction Rate.
• Has some understanding or experiences in working with social media or marketing strategies.
• WHAT YOU WILL DEVELOP FROM THIS POSITION.
• Utilized the social media data to listen to online customers, measure brands success, or find a business opportunity.
• Sharpen your understanding and the art of revealing the clients needs Practice techniques and skills in analyzing social media data.
• Learn to work with different tools in analyzing data.
• Showcase your reports and present them to corporates and leading companies in the market.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Automation, English, German

ประเภทงาน:

งานประจำ

• Corporate Actions Processing.
• Monitor and process Corporate Action events (mandatory and voluntary), including announcement capture, entitlement, and instruction processing.
• Ensure completeness and accuracy of event processing across systems.
• Prepare and review client reporting, including entitlement reports, event summaries, and meeting results.
• Support related cash and FX processing for Corporate Actions where applicable.
• Handle queries related to Corporate Actions events and provide timely responses.
• Utilise automation / AI-assisted tools (e.g. data extraction, reconciliation support) to enhance efficiency and reduce manual processing where feasible.
• Securities Settlements.
• Process and monitor securities settlements (DVP/RVP/FOP), including trade validation and status updates.
• Perform trade matching, exception handling, and investigation of settlement breaks.
• Monitor failed or unmatched trades and ensure timely resolution.
• Prepare settlement-related reports, including cash projection and trade status reports.
• Support FX processing linked to settlement transactions where required.
• Apply data analytics / AI-supported insights to support exception monitoring and reporting accuracy.
• Account Management & Static Data.
• Maintain static data including account setup, client reference data, and settlement instructions.
• Support account opening, maintenance, and closure processes across internal and market systems.
• Perform data validation and reconciliation to ensure completeness and accuracy.
• Prepare supporting data for billing and reconciliation activities.
• Leverage automation and digital tools to improve data quality and streamline maintenance processes.
• Client Servicing & Reporting.
• Respond to client queries in a timely and accurate manner.
• Prepare and review standard and ad-hoc client reports.
• Coordinate with internal stakeholders (Operations, Technology, Compliance) and external parties (clients, agents, market infrastructures).
• Ensure timely delivery of all reporting obligations.
• Use AI-enabled tools where appropriate to support reporting preparation, data summarisation, and communication drafting, in line with internal policies.
• Controls, Risk & Compliance.
• Perform maker-checker controls (4-eyes principle) on critical processes.
• Ensure compliance with internal procedures, regulatory requirements and audit standards.
• Identify, monitor and escalate operational risks, exceptions, and control breaks.
• Maintain proper documentation and support audit requirements.
• Ensure responsible and compliant use of AI/tools.
• including adherence to data confidentiality, model governance, and audit requirements.
• Process Improvement & Automation.
• Identify process gaps and inefficiencies and support automation initiatives.
• Participate in system enhancements and operational improvement projects.
• Support standardisation and optimisation of operational processes.
• Actively contribute to AI and digital adoption initiatives to improve operational efficiency and reduce manual effort.
• 1 to 3 years of experience in custody operations, securities settlements, corporate actions, or asset servicing.
• Good understanding of custody operations processes (Corporate Actions, Settlements, Static Data).
• Strong communication skills with ability to engage internal and external stakeholders.
• Good English communication (written and spoken).
• Ability to work under pressure and manage high volumes of tasks.
• Strong attention to detail with a control-focused mindset.
• Proficiency in Microsoft Excel and related tools.
• Basic awareness of AI/digital tools.
• (e.g. data analytics tools, workflow automation, AI assistants) with willingness to adopt new technologies responsibly.
• Flexible working to assist you balance your personal priorities.
• Coaching and support from experts in your team.
• A culture of continuous learning to aid progression.
• A range of flexible benefits that you can tailor to suit your needs.
• Training and development to help you excel in your career.
• Deutsche Bank is the leading German bank with strong European roots and a global network.
• click here.
• to see what we do.
• Deutsche Bank & Diversity.
• We strive for a.
• culture.
• in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
• Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
• We welcome applications from all people and promote a positive, fair and inclusive work environment.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Digital Marketing, 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.
• This role is based in Bangkok, Thailand, and is open to candidates worldwide. We offer a generous relocation package to ensure a smooth transition to living and working in Bangkok.
• 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.
• 2-3 years of experience.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science).
• Strong English communication.
• Solid business acumen.
• Strong statistical and analytical skills.
• Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
• Experience designing and analyzing A/B tests.
• Works independently on daily analytics tasks and provides business recommendations.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• Bengaluru.
• 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:

Power BI, Tableau, Python, SQL

ประเภทงาน:

งานประจำ

• การจัดการข้อมูล: ดูแลการรวบรวม จัดการ และเก็บรักษาข้อมูลในองค์กร เพื่อให้แน่ใจว่าข้อมูลมีความถูกต้องและมีคุณภาพ.
• การวิเคราะห์ข้อมูล: ใช้เทคนิคทางสถิติในการรวบรวม สรุปข้อมูล และวิเคราะห์ผลลัพธ์ เพื่อสร้างรายงานและการแสดงผลที่เข้าใจง่ายสำหรับผู้ที่ใช้ข้อมูล.
• พัฒนาและปรับปรุงระบบการรายงานข้อมูลอย่างต่อเนื่อง.
• วิเคราะห์ตลาด คู่แข่ง และพฤติกรรมลูกค้า เพื่อค้นหาโอกาสทางธุรกิจใหม่ๆ.
• ในการรวบรวม และสรุปข้อมูลทั่วไป/ เชิงลึก เพื่อเป็นข้อมูลแนวโน้ม และเชิงสถิติในการตัดสินใจเชิงกลยุทธ์ให้กับผู้บริหาร.
• งานอื่นๆ ที่ได้รับมอบหมาย.
• ปริญญาตรีหรือสูงกว่าในสาขาที่เกี่ยวข้อง เช่น สถิติ คณิตศาสตร์ หรือสาขาที่เกี่ยวข้องกับธุรกิจ.
• มีประสบการณ์ในการทำงานด้านวิเคราะห์ข้อมูลอย่างน้อย 5 ปี.
• มีความรู้ความเข้าใจในเครื่องมือวิเคราะห์ข้อมูล เช่น SQL, Python, R, Tableau, Power BI เป็นต้น.
• มีความสามารถในการนำเสนอข้อมูลที่ซับซ้อนให้เข้าใจง่าย.
• มีประสบการณ์ในการทำงานในอุตสาหกรรมค้าปลีก.
• มีความรู้ความเข้าใจในหลักการทางการตลาด.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Google Cloud Platform, Python, Kafka, Scala, Java, SQL, ETL

ประเภทงาน:

งานประจำ

• Design, build, and maintain batch and real-time data pipelines.
• Develop ETL/ELT processes and integrate data from multiple sources.
• Support data warehouse, data lake, and lakehouse platforms.
• Monitor data quality, performance, and system reliability.
• Troubleshoot data issues and collaborate with technical and business teams.
• Bachelor's degree in Computer Science, IT, Engineering, or related fields.
• At least 1-5 years of experience in Data Engineering, Database, or related roles.
• Strong SQL skills and proficiency in Python, Scala, or Java.
• Experience with relational databases and ETL/ELT tools.
• Experience with AWS, Azure, or Google Cloud Platform.
• Familiarity with Snowflake, BigQuery, Redshift, Synapse, Databricks, Airflow, dbt, Spark, or Kafka.
• Knowledge of Git, CI/CD, testing, monitoring, and data-quality practices.

ทักษะ:

Project Management

ประเภทงาน:

งานประจำ

Manage project documentation including shop drawings and material approvals. Track construction progress aligned with master and sub-plans. Coordinate with vendors and subcontractors. Support PM/PE with meeting preparation and project reporting. Location: Data Center, Chachoengsao. Schedule: Monday-Saturday, 8:00 AM-5:00 PM. Requirements: Bachelor's degree in engineering (Electrical/Mechanical); 2-5 years MEP experience; project management knowledge; MS Office proficiency; English language capability; available to start immediately or within 2 weeks.