เงื่อนไขการค้นหา

ทักษะ:

Data Analysis

ประเภทงาน:

งานประจำ

• ตรวจสอบรายงานยอดขาย และรายงานยอดขายเปรียบเทียบต่อเดือนต่อปี.
• ตรวจสอบฐานข้อมูลทุกระบบ เช่น VSMS, SIS, POWER BI ฯลฯ.
• ควบคุมและตรวจสอบ เงินจูงใจ.
• ควบคุมและตรวจสอบ รางวัลและกิจกรรมส่งเสริมการขาย.
• ควบคุมดูแล จัดทำงบประมาณการขายร่วมกับผู้บังคับบัญชา.
• วิเคราะห์ วางแผนและพัฒนาระบบข้อมูล ร่วมกับผู้บังคับบัญชา.
• ปฏิบัติหน้าที่อื่นๆ ที่ผู้บังคับบัญชามอบหมาย.
• ปริญญาเศรษฐศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้านสถิติข้อมูล 5 ปี.
• มีความรู้ในด้านลักษณะการดำเนินธุรกิจของบริษัท.
• มีทักษะทางด้านการใช้ computer และ Excel ขั้นสูง.
• มีทักษะในการคิดวิเคราะห์.
• มีความละเอียดรอบคอบ.

ทักษะ:

Data Analysis

ประเภทงาน:

งานประจำ

• รวบรวมและจัดทำข้อมูลยอดขายของ]ลูกค้า.
• ตรวจสอบฐานข้อมูลทุกระบบ.
• รวบรวมข้อมูลเกี่ยวกับประวัติของลูกค้า.
• รวบรวมข้อมูลการกระจายสินค้าเข้าร้านค้าของลูกค้าแต่ละเจ้า.
• จัดทำเงินจูงใจ (Incentive).
• บริหารจัดเก็บเอกสารต่างๆ เพื่อให้ทีมสามารถนำไปใช้งานต่อได้ง่าย.
• วิเคราะห์และวางแผนข้อมูล ร่วมกับผู้บังคับบัญชา.
• ร่วมจัดทำเป้าหมายรายปี, รายเดือน ของทีม.
• จัดทำข้อมูลการทำงานของทีม.
• รวบรวมข้อมูลประเมินปลายปีของทีม.
• พัฒนาระบบข้อมูลและรายงานเพื่อสนับสนุนทีม.
• ปฏิบัติหน้าที่อื่นๆ ที่ผู้บังคับบัญชามอบหมาย.
• ปริญญาเศรษฐศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้านสถิติข้อมูล 3 ปี.
• มีทักษะทางด้านการใช้ computer และ Excel ขั้นสูง.
• มีทักษะในสื่อสาร ประสานงานอย่างมีประสิทธิภาพ.
• มีความละเอียดรอบคอบ.

ทักษะ:

Data Analysis

ประเภทงาน:

งานประจำ

• Key Responsibilities (หน้าที่ความรับผิดชอบหลัก).
• รวบรวม จัดการ ตรวจสอบคุณภาพข้อมูลจากหลายแหล่งภายในและภายนอกองค์กร.
• วิเคราะห์ข้อมูลเชิงสถิติและเชิงธุรกิจ เพื่อค้นหาข้อมูลเชิงลึก แนวโน้ม และปัจจัยที่มีผลต่อผลลัพธ์ทางธุรกิจ.
• จัดทำรายงาน การนำเสนอข้อมูล และพัฒนา Dashboard ด้วยเครื่องมือ Business Intelligence เช่น Power BI, Tableau หรือ Looker Studio.
• สรุปผลการวิเคราะห์ พร้อมเสนอข้อมูลเชิงลึกเพื่อสนับสนุนการตัดสินใจของผู้บริหารและทีมงานที่เกี่ยวข้อง.
• ทำงานร่วมกับทีม Data Engineer, IT และหน่วยงานอื่นเพื่อเพิ่มประสิทธิภาพการจัดเก็บและประมวลผลข้อมูล.
• พัฒนาหรือปรับปรุงมาตรฐานข้อมูล กระบวนการทำงาน รวมถึงการตรวจสอบความถูกต้องอย่างสม่ำเสมอ.
• ติดตาม ตรวจพบ และรายงานความผิดปกติของข้อมูล เพื่อให้สามารถแก้ไขได้อย่างรวดเร็ว.
• เขียน Query (เช่น SQL) หรือสคริปต์เบื้องต้นสำหรับดึง วิเคราะห์ และประมวลผลข้อมูล.
• Educations Background(การศึกษา).
• ปริญญาตรีขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• Professional Experiences(ประสบการณ์การทำงาน).
• มีประสบการณ์อย่างน้อย 5 ปีในด้าน Data Analytics หรือ Data Science.
• ใช้งาน SQL ในระดับปฏิบัติงานได้ดี.
• ใช้ Excel หรือ Google Sheets ในระดับสูง.
• มีความรู้พื้นฐานด้านสถิติและการวิเคราะห์ข้อมูล.
• สามารถจัดทำรายงานและ Visualization ได้อย่างแม่นยำและนำเสนออย่างชัดเจนรักการเรียนรู้ เปิดใจต่อความท้าทาย ติดตามข่าวสารที่เกี่ยวข้องกับสายงาน.

ทักษะ:

Compliance, Civil Engineering, Electrical Engineering

ประเภทงาน:

งานประจำ

• Lead and manage all on-site construction activities for data center projects from start to completion.
• Site Supervision & Project Execution: Manage on-site engineering operations, ensuring all activities align with project plans, technical specifications, and timelines..
• Construction Quality & Safety Compliance: Ensure all construction activities comply with local and international engineering standards, regulations, and safety protocols..
• Coordination & Communication: Work closely with project team, contractors, consultants, and key stakeholders to ensure smooth project execution..
• Technical Review & Problem-Solving: Analyze engineering designs, reports, and specifications to identify and resolve technical issues efficiently..
• Progress Monitoring & Reporting: Track project milestones, prepare site reports, and provide updates to senior management and stakeholders..
• Material & Resource Management: Tracking, foreseeing, and addressing the availability of materials and key equipment to ensure smooth project execution..
• Stakeholder Liaison: Maintain effective communication with local authorities, subcontractors, and project teams to facilitate seamless operations..
• Job Qualifications.
• Bachelor's degree in Civil Engineering, Electrical Engineering, or related field or a related field.
• Minimum 3-10 years of experience in large-scale infrastructure or construction projects (experience in data center projects is a plus but not required)..
• Strong technical knowledge of power systems, cooling solutions, and network architecture.
• Strong leadership, problem-solving, and cross-cultural communication skills..

ทักษะ:

Budgeting, Compliance, Research, English

ประเภทงาน:

งานประจำ

• Develop and execute the Data Platform, Data Warehouse & Analytics strategy and roadmap in alignment with the organization's business objectives.
• Act as the system owner for the enterprise Data Platform, Data Warehouse & Analytics environment, ensuring system stability, availability, security, and performance.
• Lead end-to-end Data Platform, Data Warehouse & Analytics projects, including planning, budgeting, vendor selection, implementation, and project delivery.
• Oversee the design and development of enterprise Data Architecture, data standards, and scalable data solutions.
• Ensure data quality, data integrity, and seamless data integration across relevant systems and business functions.
• Establish and drive Data Governance, Data Security, and Compliance policies in accordance with organizational requirements and applicable laws and regulations.
• Act as a strategic data advisor to business leaders and key stakeholders, providing insights and recommendations to support data-driven decision-making.
• Manage external vendors, technology partners, and service providers to ensure project delivery, service quality, and alignment with business requirements.
• Lead and manage the DWH & Analytics team by setting objectives, developing team capabilities, and fostering a data-driven culture across the organization.
• Research and evaluate emerging technologies in Data, Analytics, AI, and Automation, and identify opportunities to apply them to improve business efficiency and effectiveness.
• Bachelor's degree or higher in Computer Science, Information Technology, Statistics, Data Science, or other related fields.
• At least 7 years of hands-on experience in developing and managing dashboards and analytics solutions using Qlik Sense and/or Power BI..
• Experience with Microsoft Fabric / Microsoft Data Fabric is a strong advantage..
• Strong understanding of Data Warehouse, Data Platform, Data Architecture, Data Integration, Data Governance, and Analytics concepts.
• Strong leadership, stakeholder management, problem-solving, and project management skills.
• Good command of English with strong written and verbal communication and presentation skills.
• Fast learner, self-motivated, proactive, and able to adapt to new technologies and business requirements.
• Service-oriented mindset with a collaborative approach to working effectively with internal stakeholders and cross-functional teams.
• Excellent organizational and time management skills, with the ability to manage, prioritize, and deliver multiple tasks and projects effectively.
• Work Location: The Mall - Head Office (Ramkhamhaeng), Nearby Airport Link Ramkhamhaeng Station.

ประเภทงาน:

งานประจำ

• About the TeamGenerative AI and large language models are reshaping the core capabilities of global content platforms - and high-quality training and evaluation data is one of the key factors that determines a model's ceiling.We are the AI Data Service & Operations team behind TikTok's international products, responsible for producing multilingual, multimodal data assets across both safety and non-safety domains. The standards we set and the data we deliver power two critical fronts: TikTok's global content ecosystem governance strategy on one side, and the training and evaluation ...
• Minimum Qualifications1. Bachelor's degree; majors in law, philosophy, economics, journalism, languages, social sciences, or related fields are preferred.2. Internship or project experience in data quality, content moderation, compliance, content operations, AI data, or annotation is preferred.3. Excellent English listening, speaking, reading, and writing skills, including accurate comprehension of English video and text. IELTS 7.5, TOEFL 105, or equivalent; additional languages are preferred.4. Familiarity with Excel and other common data-processing tools. Deep experience with mainstream foundation-model products such as ChatGPT, Claude, Gemini, or Doubao, and a basic understanding of AI capability boundaries, are preferred.5. Clear logic and strong structured decomposition, abstraction, synthesis, judgment, and communication skills. Detail-oriented, with an independent view of what constitutes high-quality data.

ประเภทงาน:

งานประจำ

• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingestion from a wide array of sources.
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor's degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

ทักษะ:

Power BI, Tableau, Finance, English

ประเภทงาน:

งานประจำ

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor's degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

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.

ทักษะ:

Procurement, Automation, Compliance

ประเภทงาน:

งานประจำ

• Collect, validate, and clean logistics data from transportation, warehousing, and distribution activities to ensure high data quality, accuracy, and consistency for effective analysis..
• Monitor and track the data collection process, ensuring timely and accurate preparation of monthly logistics performance reports..
• Analyze logistics data to identify trends, performance gaps, inefficiencies, bottlenecks, and cost-saving opportunities within the supply chain and logistics operations ...
• Conduct root cause analysis on operational issues and collaborate with relevant teams to propose and implement actionable improvements for enhanced efficiency..
• Develop, maintain, and optimize interactive dashboards and reports that visualize key performance indicators (KPIs) and logistics trends to provide clear insights for management and stakeholders..
• Prepare ad-hoc reports as requested by management or departments, ensuring delivery of relevant and accurate information to support decision-making..
• Collaborate closely with cross-functional teams - including procurement, warehousing, transportation, and IT - to improve supply chain processes, support logistics-related projects, and enhance data integration and reporting automation..
• Track the progress and impact of logistics projects and initiatives, ensuring alignment with business objectives and supporting risk identification and mitigation planning through data analysis..
• Stay updated on industry best practices, emerging trends, and new technologies in logistics and supply chain analytics to continuously improve processes and analytical capabilities..
• Support continuous improvement efforts by providing analytical input and helping optimize logistics workflows, ensuring compliance with company policies.
• Build and maintain strong working relationships with internal stakeholders to understand their data needs, facilitate reliable data access, and provide timely and effective analytical support.
• Bachelor's Degree in business administration, Supply Chain and Logistic Management or in a field related to data.
• 3-5 years of experience or internships in supply chain, logistics, or data analysis preferred.
• Basic knowledge of logistics operations and supply chain principles.
• Familiarity with data tools like Excel, Power BI, or SQL is a plus.
• Strong attention to detail and ability to work with large datasets.
• Good problem-solving and critical thinking skills.
• Ability to prepare clear reports and presentations.
• Basic understanding of ERP or logistics management systems (e.g., SAP, TMS) is beneficial.
• Strong communication skills and ability to work in a team environment.

ทักษะ:

Product Owner, ETL, Power BI

ประเภทงาน:

งานประจำ

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ด้าน Data Analytics, Business Analysis, System Analysis หรือ Product Owner อย่างน้อย 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีประสบการณ์บริหาร Backlog, Use Case หรือ Project ด้าน Data จะได้รับการพิจารณาเป็นพิเศษ.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• K. Nanchanok (Recruiter) Email: nanchanok.r@ thaibev.com.
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Office location: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

ทักษะ:

Assurance, Research, English

ประเภทงาน:

งานประจำ

• Develop, refine, and maintain Operational Guidelines for assigned policy areas, translating policy intent into clear, actionable instructions and ensuring alignment with policy changes, platform updates, and operational best practices.
• Produce, validate, and maintain high-quality Testing Sets for calibration, QA evaluation, arbitration, and operational assessments, ensuring balanced coverage of scenarios, content types, and edge cases.
• Analyze complex, ambiguous, and high-risk cases to provide structured clarifications ...
• Support arbitration, QA, training, and calibration workflows by identifying misapplication patterns and operational gaps, driving measurable improvements in reviewer accuracy and consistency.
• Collaborate cross-functionally with Policy, Governance, Product, Engineering, Algo, and Training teams to ensure OGs and Testing Sets are scalable, actionable, and effectively translated into SOPs and training materials.
• Track quality and operational metrics to identify improvement opportunities and drive continuous enhancements in enforcement accuracy, workflow efficiency, and cross-team effectiveness.
• Contribute to ad-hoc quality and governance initiatives that enhance enforcement quality, operational effectiveness, and team performance.
• Bachelor's degree in Social Sciences, Arts & Humanities, or a related field.
• Proficient in English as a primary working language, with strong attention to detail, clarity, and linguistic consistency, plus strong written communication skills that help turn complex ideas into practical guidance.
• Internship, academic project, campus organization, or full-time experience in quality assurance, training, editorial review, operations, or a related field is valuable.
• Demonstrated ability to interpret and apply complex guidelines or policies in writing-focused workflows, and some experience evaluating qualitative content or using data to improve processes.
• Internship, research, and project experience all count.
• Ability to design and deliver interactive, engaging training materials or learning sessions, whether through internships, campus activities, project work, or full-time experience.
• Preferred Qualifications.
• Additional experience with content moderation policy, operational guideline development, or enforcement workflows.
• A self-starter mindset, solution-oriented thinking, and the ability to manage multiple priorities in a fast-paced, collaborative environment.
• Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
• Experience collaborating with Policy, Product, Governance, Engineering, or Training teams through internships, projects, research, or full-time roles.
• Knowledge of scenario coverage, positive/negative balance, and dataset validation.
• Excitement to learn quickly, grow with feedback, and build strong cross-functional judgment early in your career.
• Strong interest in policy, content moderation, quality operations, or related work.
• Prior exposure through internships, research, projects, or student activities is a plus.
• Familiarity with content moderation policy, operational guideline development, or enforcement workflows through coursework, internships, research, or project work is a plus.

ประเภทงาน:

งานประจำ

• Develop HR reports/dashboards, perform advanced data analysis, and oversee data quality and business processes in HRIS to offer business insights while ensuring data accuracy and operational efficiency in HRIS.
• Lead and execute HR data-related initiatives, implementing HRIS enhancements and optimizing processes for operational excellence and efficiency in HRIS..
• Develop executive-level HR reports/dashboards to drive data-driven decision-making at the management levels.
• Employ advanced analytical tools and statistical techniques to conduct complex data analysis, delivering valuable business insights and recommendations to stakeholders.
• Engage with HR teams and other teams in various functions to discern data requirements, gather pertinent HR data, and fulfill their business needs effectively.
• Oversee HRIS business processes, permission access and data quality, taking the lead in data cleansing, updates, and quality checks to ensure high-quality data for future usage and analysis.
• Lead and collaborate with multiple stakeholders, including group offices to implement new Workday modules, introducing features, and supporting HR digitization initiatives to advance HR digitization efforts.
• Mentor and guide junior data analysts in effectively operating HRIS business processes, troubleshooting incidents, and developing data analysis skills through sharing best practices.

ทักษะ:

Automation, Negotiation

ประเภทงาน:

งานประจำ

• Analyze inventory data to identify issues, discrepancies, errors, and potential operational risks.
• Investigate root causes and provide data-driven insights and recommendations for corrective actions.
• Collaborate with relevant cross-functional teams to drive issue resolution and ensure effective implementation of corrective actions.
• Process Improvement & Solution Design.
• Analyze end-to-end business processes to identify process gaps, inefficiencies, and improvement opportunities.
• Review existing processes (As-Is) and design optimized future-state processes (To-Be).
• Design and develop improvement solutions in the form of reports, dashboards, applications, or other digital solutions.
• Develop and maintain Standard Operating Procedures (SOPs), workflows, and process documentation to ensure consistency and operational efficiency.
• Application Development.
• Design and develop internal applications and digital solutions to reduce manual work and improve operational efficiency.
• Develop solutions such as demonstration product issuance and return systems, product/work/document tracking systems, and inventory monitoring applications.
• Translate business requirements into practical system or application solutions that support inventory management and business operations.
• Coordinate with relevant stakeholders and technical teams throughout application development and implementation.
• Automation & AI Implementation.
• Design and implement automation solutions to streamline repetitive processes, such as automated report generation and alert/notification systems.
• Explore and apply AI technologies to enhance inventory management capabilities, including demand forecasting and inventory forecasting.
• Utilize scripting and other automation tools to reduce manual tasks, improve data accuracy, and increase operational efficiency.
• Identify opportunities to leverage data, automation, and AI to continuously improve inventory management processes.
• Bachelor's or Master's degree in Supply Chain Management, Information Technology, Engineering, or a related field.
• 3 - 5 years of experience in Inventory Management, preferably within the Healthcare industry.
• Hands-on experience in software, system, or application implementation, with the ability to translate business requirements into practical digital solutions.
• Strong analytical skills with the ability to interpret data, identify problems, and make data-driven decisions.
• Experience in process improvement, system development, data analytics, automation, or AI implementation is highly preferred.
• Strong knowledge of inventory management processes and the ability to drive Sales & Operations Planning (S&OP) processes effectively.
• Strong cross-functional collaboration, stakeholder management, coordination, and negotiation skills.
• Excellent communication and presentation skills, with the ability to communicate complex information clearly to both business and technical stakeholders.
• Proactive, solution-oriented, and capable of driving continuous improvement and digital transformation initiatives.

ทักษะ:

SQL, ETL, Compliance

ประเภทงาน:

งานประจำ

• Act as the first point of contact and trusted data solution partner for business data initiatives, translating banking business needs into clear data requirements, data model inputs, SQL-based data inquiries, and delivery-ready specifications for the Data Warehouse and Data Analytics teams.
• Serve as the intake owner for data projects, enhancement requests, impact assessments, and data usage demand.
• Lead and coordinate project planning, timeline management, stakeholder communication ...
• Lead the analysis and design of end-to-end data flows, translating business requirements into data solutions, source-to-target mappings, and high-level data architecture in collaboration with data architects, data engineers, data governance teams, and vendors.
• Lead the design of business-aligned data models, data structures, and data lineage, ensuring consistency across source systems, data warehouse, data marts, and analytics consumption layers.
• Use SQL for basic to intermediate data inquiry, profiling, reconciliation, validation, and issue inve.
• stigation.Facilitate workshops, manage requirements scope, track decisions, resolve requirements issues, and secure business sign-off.
• Support SIT and Perform UAT activities, defect investigation and resolution, data quality checks, production readiness, user communication, and post-implementation review.
• Work with data engineers to resolve data incidents, if any.
• Apply now if you have these advantages.
• Bachelor's or Master's degree in Business, IT, Data, Computer Science, MIS, Finance, or related field.8 - 10+ years of experience in Business Analysis, Data Analysis, Data Warehouse, BI/Analytics, or project delivery, preferably in banking or financial services.
• Hands-on experience with data warehouse concepts, data mart design, ETL/ELT lifecycle, reporting, dashboards, or analytics delivery.
• Working knowledge of SQL for data inquiry, validation, and requirement clarification.
• Good understanding of project management practices, Agile/Waterfall delivery, requirement traceability, risk/issue tracking, and stakeholder governance.
• Expected knowledge across banking products and processes such as loans, deposits, payments, cards, customers, finance, risk, compliance, and regulatory reporting..
• 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).

ทักษะ:

SQL, Python, Digital Marketing

ประเภทงาน:

งานประจำ

• 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products.
• Strong SQL skills - able to write complex queries confidently and always validate output before sharing with stakeholders.
• Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing.
• Experience in prompt engineering or LLM integrations applied to real analytics use cases.
• Familiarity with cloud platforms for querying and managing large-scale datasets.
• Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis.
• Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs.
• Ability to manage shifting priorities and deliver accurate work under deadline pressure.
• Clear communication skills with both technical and non-technical stakeholders.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ทักษะ:

Excel, Research, Power BI, English

ประเภทงาน:

งานประจำ

• Design an employee engagement survey based on global best practices, such as Gallup, Aon, and Mercer..
• Support the online survey in Thai, English, Myanmar, and Indonesian..
• Track survey participation and provide regular updates by country and function.
• Analyze survey data and identify key engagement drivers, strengths, and gaps.
• Develop an interactive dashboard with drill-down by country and function.
• Total OSP.
• Thailand, Myanmar, and Indonesia.
• Functions / Departments.
• Provide practical recommendations and action plans to improve employee engagement.
• Key Deliverables.
• Excel data and analysis.
• Interactive dashboard.
• PowerPoint presentation.
• Key insights and recommendations.
• Action plans.
• University Professor / Lecturer, Master's student / intern, researcher, data analyst, or someone with relevant experience or interest..
• Interest or experience in Employee Engagement, HR Analytics, People Analytics, Research, or Data Analysis..
• Good skills in Excel and PowerPoint..
• Experience with Power BI or other dashboard tools is a plus..
• Good analytical and communication skills.
• Able to work independently and meet project deadlines.

ทักษะ:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็น.
• SQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Accounts Receivable, Financial Reporting, Accounts Payable, Microsoft Office, Accounting

ประเภทงาน:

งานประจำ

Finance and Accounting (English Communication Skills) Location: DKSH Thailand, (BTS Bangchak Station) About the Role We are looking for a detail-oriented and proactive Finance and Accounting to join our team. This role is responsible for billing operations, accounts receivable management, financial reconciliation, and reporting activities while ensuring accuracy, compliance, and excellent support to both internal and external stakeholders. What You Will Deliver Prepare and verify supporting documents for billing and expense charging. Issue Statements of Expenditures (SE), Line Acco ...

ประสบการณ์:

15 ปีขึ้นไป

ทักษะ:

Leadership Skill

ประเภทงาน:

งานประจำ

• Strategic Planning (Data & Technology Strategy).
• Define the vision and technological direction aligned with the overarching business goals of the hotel group.
• Develop and execute a comprehensive Data & Technology Strategy that aligns with key business objectives, such as increasing RevPAR (Revenue Per Available Room), reducing operational costs, and enhancing guest satisfaction scores.
• Spearhead the adoption of emerging technologies and platforms to drive innovation and create a distinct edge over competitors.
• Act as the strategic bridge between business units (Operations, Marketing, Finance) and the technology team, ensuring all IT investments deliver tangible business value and address real operational needs.
• Champion and cultivate a "Data-driven Culture" throughout the entire organization, promoting data literacy at all levels.
• Infrastructure & Platform Architecture (The Technical Backbone).
• This is the core mission, focusing on building a robust, stable, and scalable foundation to support current operations and future growth.
• Plan, design, and construct the entire technology infrastructure, encompassing hardware (servers, networking equipment, IoT devices) and software platforms (cloud services, databases, API gateways).
• Lead the integration of disparate operational systems across properties (e.g., PMS, POS, CRM, Housekeeping systems) to break down "Information Silos" and establish a centralized enterprise Data Lake / Data Warehouse.
• Oversee end-to-end cybersecurity frameworks and ensure strict compliance with data privacy regulations (e.g., PDPA, GDPR) to protect guest and corporate data.
• Manage external vendor relationships and technology procurement, optimizing investments to fit within allocated budgets (CAPEX/OPEX).
• Data-Driven Business Insights (Turning Data into Assets).
• Transform raw data into actionable business intelligence and strategic weapons for both executives and on-site operational teams.
• Establish enterprise-wide Data Governance standards and build automated, real-time dashboards (using tools like Power BI or Tableau) to provide leadership with a clear, at-a-glance view of critical KPIs.
• Conduct deep-dive analytics to support high-level strategic decisions, including ROI analysis of marketing campaigns, accurate demand forecasting, and guest behavior analysis to maximize upselling opportunities.
• Empower individual hotel managers with intuitive analytical tools and insights to optimize day-to-day operations, such as workforce scheduling, food & beverage cost control, and predictive maintenance planning.
• Team Leadership & People Management.
• Build, develop, and lead a high-performing, multi-disciplinary team to execute all technical and analytical initiatives.
• Design the organizational structure and recruit top-tier talent across specialized domains, including Data Engineers (pipeline building), Data Analysts (insights & visualization), Data Scientists (predictive modeling), and IT Operations (infrastructure maintenance).
• Mentor, coach, and motivate the team, setting clear performance goals (OKRs / KPIs) and fostering a culture of continuous learning and innovation.
• Take full ownership of the departmental annual budget, meticulously planning and tracking both capital and operational technology expenditures.
• Experience: Minimum of 10 - 15 years of progressive experience in IT, Data, or Technology leadership roles (experience specifically within the Hospitality, Real Estate, or Retail sectors is highly preferred).
• Technical Expertise: Deep, hands-on knowledge of cloud architecture(AWS/Azure/GCP), database management (SQL/NoSQL), ETL/ELT processes, and Business Intelligence platforms.
• Strategic & Commercial Acumen: Possesses a strong visionary mindset with the proven ability to translate complex technical concepts into clear, compelling business cases for C-level executives and operational staff.
• Problem-Solving & Risk Management: Demonstrates decisive leadership under pressure, with a track record of effectively managing critical system incidents and mitigating operational risks.