เงื่อนไขการค้นหา

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for the successful delivery of business intelligence information to the entire organization and is experienced in BI development and implementations.
• Design stable, reliable and effective data architecture and data mart.
• Understand of BI best practices and be able to create relational structures, dimensional data modeling, structured query language (SQL) skill, data warehouse and reporting techniques, performing ETLs and validating results with business representatives ...
• Support implemented BI solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
• Bachelor or Master Degree in Computer Engineering, Computer Science, Technology information systems, or any other IT related field.
• E.
• xperiences in data warehousing development and architecture hands-on physical/logical database and data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and teamwork.

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:

6 ปีขึ้นไป

ทักษะ:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

ประเภทงาน:

งานประจำ

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for.
• the.
• successful delivery of business.
• intelligence information to the entire organization and is experienced in BI.
• development and implementations.
• Design stable, reliable and effective data.
• architecture and data mart.
• Understanding of BI best practices and be able.
• to create relational structures, dimensional data modeling, structured query.
• language (SQL) skill, data warehouse and reporting techniques, performing ETLs.
• and validating results with business representatives.
• monitoring and tuning queries and data loads, addressing user questions.
• concerning data integrity, monitoring performance and communicating functional.
• and technical issues.
• Bachelor or Master Degree in Computer.
• Engineering, Computer Science, Technology information systems, or any other IT.
• related field.
• At least 3 years of experiences in data.
• warehousing development and architecture hands-on physical/logical database and.
• data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of.
• writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and.
• teamwork.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Analytical Thinking, SQL, English

ประเภทงาน:

งานประจำ

• Design, develop, and manage SCG's sales statistics databases and sales reporting systems to support performance measurement, KPI tracking, and business monitoring. Provide data insights and analytical support to internal users for planning, analyzing, and evaluating sales programs and customer benefit initiatives, enabling data-driven decision-making across the organization.
• Design, develop, and maintain sales databases, data models, and data structures to ensure data accuracy, consistency, and accessibility.
• Develop, enhance, and maintain standard and ad hoc reports, dashboards, and analytical solutions to support performance monitoring, KPI tracking, and business decision-making.
• Conduct user training and provide support to promote effective data utilization and improve data literacy across the department.
• Manage data access permissions and ensure appropriate governance, security, and compliance in the use of business data.
• Bachelor's degree or higher in Computer Science, Information Systems, Data Science, Statistics, Business Analytics, Engineering, or a related field. (A minimum GPA of 2.70 for the Bachelor's degree).
• Experience in Business Intelligence, Data Analytics, Database Development, Reporting, or related areas is preferred; fresh graduates with strong technical skills are welcome to apply.
• Strong proficiency in SQL and database management, including database design, data modeling, and data warehouse concepts.
• Strong understanding of sales performance metrics, KPIs, and business reporting concepts, with analytical thinking skills and strong business logic.
• Good communication and presentation skills to convey complex information in an easy-to-understand format. Good command of English, both written and spoken, is preferred.

ทักษะ:

Statistical Analysis, Marketing Strategy, Digital Marketing, Social media, Recruitment, Big Data, Tableau, YouTube, Python, SQL

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The 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.
• Define Marketing strategy for Flights Vertical (outside of pricing).
• Spearhead the development, execution, and optimization strategy for growing Agoda's Flights business on different channels (e.g., CRM, Paid Performance marketing).
• Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights.
• Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth.
• Partner closely with various business functions, especially Marketing Accommodation, Flights product and flights supply, to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau to drive meaningful initiatives.
• Monitor and report on the effectiveness of business initiatives, providing insights and recommendations for continuous improvement.
• Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management.
• Lead, mentor, and develop a team of analysts and managers; participate in hiring and onboarding new team members.
• Extensive Experience.
• 8+.
• years in Data Analyst position or otherwise in projects involving big data preferably in the tech, e-commerce, or digital marketing industry.
• Bachelor's degree in computer science/Statistics/Math or Engineering or Economics and Finance.
• Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
• Stakeholder management.
• Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• People management.
• experience: including hiring, coaching, and developing team members.
• Entrepreneurial mindset.
• A proactive, entrepreneurial mindset with a strong sense of ownership and a get-thing-done attitude.
• Experience in digital or social media marketing.
• Experience in the online travel or e-commerce industry.
• Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.
• London.
• PricingStrategy.
• Travel.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

SAP, SQL, NoSQL

ประเภทงาน:

งานประจำ

• Manage the development and implementation strategy of SAP BI (Business Intelligence), BW (Business Warehouse), and BOBJ (Business Objects) systems in alignment with business objectives..
• Plan and develop dashboards and reports using SAP BOBJ to support management decision-making, setting priorities and directions for the development team..
• Supervise the system and team to ensure effective operations, maintaining continuous data quality, accuracy, and security..
• Continuously enhance system performance and modernize solutions in line with evolving technologies.
• Initiate and integrate new technologies to improve efficiency, streamline processes, and enhance BI system performance..
• Analyze the overall system landscape to ensure seamless integration and collaboration across the organization.
• Integrate systems to support current operations and future network expansion..
• Review and adapt strategies in response to changing circumstances to ensure organizational goals are achieved.
• Prepare and present detailed reports on operational outcomes to management.
• Bachelor s degree or higher in Computer Engineering, Computer Science, Information Technology, or a related field..
• Minimum 7 years of experience in building, managing, and optimizing data pipelines from multiple data sources..
• Strong understanding of data modeling, SQL, and database management concepts..
• Excellent analytical and problem-solving skills..
• Familiarity with Agile methodologies..
• Knowledge of NoSQL databases is an advantage..
• Hands-on experience with Big Data technologies and cloud platforms such as Azure, AWS, or GCP..
• Prior experience with SAP S/4HANA is a plus..
• SAP Certification in a relevant functional area is an added advantage..
• Fast learner, self-motivated, and proactive.
• Strong written and verbal communication and presentation skills.
• Service-oriented mindset with a collaborative approach to working with internal stakeholders.
• Excellent organizational and time management skills; able to balance and prioritize multiple tasks and projects effectively..
• Work Location: The Mall - Head Office (Ramkhamhaeng).