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:

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.

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 ".

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 ...

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.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, SQL, ETL

ประเภทงาน:

งานประจำ

• Data Engineering & Platform.
• Develop and maintain ETL/ELT pipelines for data ingestion and transformation.
• Build and optimize Enterprise Data Warehouse and Data Lake solutions.
• Monitor and troubleshoot data pipeline failures and performance issues.
• Maintain and optimize SQL, Spark, and cloud-based data processing workloads.
• Analytics & Reporting.
• Develop BI dashboards and automated reports for business users.
• Support self-service analytics for internal departments and external partners.
• Improve reporting efficiency and data accessibility.
• Data Architecture & Governance.
• Design scalable data architecture for structured and unstructured data.
• Implement data governance, security, and data quality standards.
• Manage metadata, data lineage, and access control policies.
• Collaboration & Support.
• Work closely with business users to analyze requirements and propose technical solutions.
• Provide technical support and consultation to Data Analysts and stakeholders.
• Coordinate with infrastructure and application teams for system integration.
• Innovation & Improvement.
• Research emerging technologies related to Data Analytics, AI, and Cloud Platforms.
• Recommend process improvements to enhance system stability and operational efficiency.
• Bachelor's degree or higher.
• Data modeling, Data Analytics, Data warehousing, Data Governing for 0-3 years of experience.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

node.js, Python

ประเภทงาน:

งานประจำ

• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Kubernetes, Power BI, Docker, SQL, ETL, English

ประเภทงาน:

งานประจำ

• Responsible for designing, constructing, and maintaining the data architecture and infrastructure that enable the storage, processing, and analysis of large volumes of data which requires a combination of technical skills and proficiency with various software tools to effectively manage and manipulate data.
• Data Pipeline Development: They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
• Database Management: They manage databases and data warehouses, ensuring efficient d ...
• Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency.
• across the organization. This may involve designing APIs, implementing data synchronization processes.
• Bachelor's degree in Computer Science, Computer Engineer, Data Engineering, or a related field. ( A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.).
• Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
• Experience in data engineering, ETL/ELT development, and data pipeline design.
• Strong SQL skills with knowledge of database management and query optimization.
• Hands-on experience with GCP and/or Azure data services.
• Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Problem Solving, Architecture, Accounting, Power BI, YouTube, Python, Java, SQL, English, Thai

ประเภทงาน:

งานประจำ

• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process.
• here.
• For more information about business solicitation and recruiting scams, please click.
• here.
• We thank you for your interest in ExxonMobil.".
• Stay connected with us.
• Learn more at our.
• website.
• Follow us on.
• LinkedIn.
• and.
• X.
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• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Applied Software Engineering for Data.
• Data Architecture & Strategy.
• Data Integration.
• Data Management.
• Data Visualization.
• Data Modeling.
• Machine Learning.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

ประเภทงาน:

งานประจำ

• Monitor all data center systems including power, cooling, fire suppression, and physical security systems during the shift.
• Perform routine inspections and preventive maintenance of data center equipment to ensure optimal performance.
• Respond promptly to alerts, alarms, and incidents, escalating issues to higher-level technical teams or management as necessary.
• Maintain accurate logs and records of all operational activities, incidents, and maintenance tasks performed during the shift.
• Support the deployment, relocation, and removal of hardware and equipment in accordance with standard operating procedures.
• Ensure compliance with company policies, safety protocols, and regulatory requirements related to data center operations.
• Coordinate with cross-functional teams (network, facilities, security) to resolve operational issues efficiently.
• Assist in maintaining physical security and access control for the data center facility.
• Participate in shift handover meetings to ensure seamless transition and communication between shifts.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

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