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Job type:

Full-time

• About the Role.
• We're looking for a Data Analyst Junior or Senior to join our MarTech & Data Intelligence team. You'll work with Marketing, Operations, and Product to turn behavioral and transactional data into insights that drive campaign performance, smarter segmentation, and lifetime value growth.
• If you're sharp, meticulous, and energized by making data work harder for the business we'd love to meet you.
• Analyze customer journeys, marketing funnel performance, and campaign effectiveness across digital channels.
• Build and maintain marketing dashboards and intelligence reports to accelerate insight delivery for stakeholders.
• Develop and maintain customer segmentation models and audience definitions to support campaign, strategy, personalization, and lifecycle marketing.
• Use AI tools, prompt engineering, and LLM integrations to turn hours of reporting into minutes.
• Work with cloud data platforms to query, process, and manage large-scale customer and event datasets.
• Design and evaluate A/B tests and marketing experiments, synthesizing results into clear and actionable recommendations.
• Partner with MarTech, Marketing and Product teams to define tracking requirements and validate data from campaign and marketing platforms.
• Perform rigorous data quality checks and maintain clear documentation of metrics, data sources, and transformation logic.
• Proactively surface anomalies in customer data traffic drops, conversion shifts, attribution gaps before they affect decisions.
• Who you are.
• 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.

Job type:

Full-time

• จัดทำชุดข้อมูลการวิเคราะห์ และโมเดลการวิเคราะห์ด้วยเทคโนโลยี Machine Learning และ Data Science รวมถึงการวิเคราะห์ข้อมูลเชิงลึก (Deep Insight) เพื่อการสร้างแบบจำลองในการนำไปใช้ทำนาย คาดการณ์ (Predictive) ตอบโจทย์กับทางธุรกิจให้กับองค์กร.
• Data Modeling & ML: พัฒนา, ทดสอบ และนำ Machine Learning Models ไปใช้จริง (Production) เพื่อแก้ไขปัญหาทางธุรกิจ เช่น การทำนายยอดขาย, การ Optimization, ตรวจจับทุจริต เป็นต้น.
• Advanced Analytics: ใช้วิธีการทางสถิติขั้นสูงและอัลกอริทึม เพื่อค้นหารูปแบบ (Pattern ...
• Dashboard & Reporting: พัฒนาและดูแล Dashboard (Power BI) เพื่อติดตาม KPI และรายงานผลการดำเนินงานธุรกิจแบบ Real-time.
• Business Analysis: วิเคราะห์ข้อมูลเพื่อหา Insight, แนวโน้ม (Trends) และสาเหตุของปัญหาทางธุรกิจ.
• Data Interpretation: แปลผลข้อมูลให้เป็นคำแนะนำเชิงกลยุทธ์ (Actionable Insights) เพื่อเพิ่มยอดขาย หรือเพิ่มประสิทธิภาพการทำงาน.
• Insight Communication: สื่อสารผลการวิเคราะห์ที่ซับซ้อนให้เข้าใจง่ายผ่านการทำ Visualization และการนำเสนอต่อทีมบริหาร.
• ปริญญาตรี/โท สาขาวิทยาการคอมพิวเตอร์, สถิติ, คณิตศาสตร์, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ทำงานด้าน Data Science/Machine Learning 1-3 ปี.
• หรือ ประสบการณ์ทำงานด้าน Data Analytics/Business Intelligence 1-3 ปี.
• ทักษะการเขียนโปรแกรม Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) อย่างดี.
• เชี่ยวชาญการใช้ SQL สำหรับดึงข้อมูลในระดับสูงมี.
• ทักษะในการใช้เครื่องมือ Visualization (Power BI).
• มีความเข้าใจบริบททางธุรกิจ (Business Acumen) และสามารถสื่อสารข้อมูลที่ซับซ้อนได้ดี.

Skills:

SQL, Oracle, Data Warehousing

Job type:

Full-time

• Bachelor s degree in computer science, Information Systems, Engineering, or a related field.
• At least 3 years of experience as a Data Engineer or in a related role.
• Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
• Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
• Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Strong understanding of data governance, security, and privacy frameworks in a financial services context.
• Excellent problem-solving skills and attention to detail.
• Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
• Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer).
• Contact: K.Chalida 08-------993.
• 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.

Skills:

SAP, SQL, Good Communication Skills

Job type:

Full-time

• Design, implement and deploy SAP PM data migration solutions to achieve defined business goals.
• Be part of the project delivery team, leading and supporting end-to-end SAP PM implementation and data migration workstreams.
• Responsible for creating requirement traceability matrix, design documents, data migration mapping documents, and test scripts.
• Drive discussions with client business during blueprint phase to gather requirements, obtain solution design sign-off, demo configured solutions, and facilitate final UAT sign-off.
• Maintain skills in SAP PM application process design, configuration, and data migration best practices.
• Support SAP application design, development, integration, testing, deployment, and technical architecture related to PM and data migration.
• Execute data migration activities including extraction, cleansing, transformation, loading, and validation of SAP PM data objects.
• Support cutover planning, mock cutover runs, and go-live execution to ensure zero data loss and business continuity.
• QualificationsAt least 1 years of experience in SAP modules such as PM, MM, FICO, CO, PS and Data Migration or other SAP modules.
• Hands-on experience with SAP PM master data objects and data migration tools LSMW, BAPI, SAP Migration Cockpit.
• Experience with SAP S/4HANA is preferred.
• Familiarity with SAP Activate methodology is an advantage.
• ABAP or SQL knowledge for data extraction and validation is a plus.
• Good communication skills able to engage with both technical and business stakeholders.
• Good logical and analytical thinking with strong attention to data accuracy and quality.
• Ability to work under pressure during critical cutover and go-live periods.
• We are hiring Analyst to Senior Consultant levels.

Skills:

ETL, Big Data

Job type:

Full-time

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

Job type:

Full-time

• Data Engineer Manager มีบทบาทสำคัญในการออกแบบ พัฒนา และบริหารจัดการโครงสร้างพื้นฐานด้านข้อมูล (Data Infrastructure) ขององค์กร เพื่อรองรับการใช้งานด้าน Analytics, AI และ Business Intelligence โดยทำหน้าที่นำทีม Data Engineer และทำงานร่วมกับทีม Data, Product และ Business เพื่อส่งมอบโซลูชันข้อมูลที่มีคุณภาพ มีเสถียรภาพ และสามารถขยายได้ (Scalable & Reliable).
• Data Architecture & Engineering
• ออกแบบและพัฒนา Data Architecture (Data Lake / Data Warehouse / Data Pipeline)
• สร้างและดูแล ETL / ELT Pipelines เพื่อรองรับข้อมูลจากหลายแหล่ง (Structured / Unstructured)
• พัฒนา Data Models เพื่อรองรับการใช้งานด้าน Analytics และ Reporting.
• Experience - ประสบการณ์ 7-12 ปี ในด้าน Data Engineering / Data Platform - มีประสบการณ์บริหารทีม (2-5 ปีขึ้นไป) - มีประสบการณ์ทำ Data Pipeline ขนาดใหญ่ หรือระบบที่มี Data Volume สูง ________________________________________.
• Technical Skills - Programming: Python / SQL (Advanced) - Big Data Tools: Spark, Hadoop, Kafka - Workflow Tools: Airflow, DBT - Cloud Platform: AWS / Azure / GCP - Data Warehouse: BigQuery, Snowflake, Redshift ________________________________________.
• Skills & Competencies - Leadership & People Management - Problem Solving & Analytical Thinking - Stakeholder Management - Communication Skills (Technical & Non-technical) - Project / Delivery Management ________________________________________.
• Preferred Qualifications - มีประสบการณ์ด้าน Real-time Data / Streaming - มีความรู้ด้าน Data Governance / Data Security - มี Certification ด้าน Cloud หรือ Data Engineering.
• Contact Information K. Nanchanok (Recruiter)
• Email: nanchanok.r @thaibev.com
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Working Location and address: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110
• MRT QSNCC Station Exit 1.

Skills:

SAP, Good Communication Skills, Analytical Thinking

Job type:

Full-time

• Design, implement and deploy SAP solutions to achieve defined business goals.
• Be part of the project deliver team, leading and support implementation.
• Responsible to create requirement traceability matrix, design documents, test scripts.
• Drive discussion with client business during blueprint phase to gather requirements, solution design sign off, demo of configured solution, final UAT sign off.
• Maintain skills in SAP applications process design and configuration.
• SAP application design, development, integration, testing, deployment and technical architecture.
• Use Data Services to support client.
• Manage small teams and or work efforts if in an individual contributor role at a client or within Accenture.
• At least 3 years of experience in SAP modules such as FICO, FI-Treasury, FM, CO, MM, PS, PM and Data Migration or other SAP modules.
• Experience with S/4 Hana is preferred.
• Have good communication skills.
• Have good logical and analytical thinking.
• We're hiring Analyst to Senior Manager Levels.

Job type:

Full-time

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• 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 ingesti ...
• 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.

Skills:

ETL, Assurance, Automation

Job type:

Full-time

• Analyze business, risk, and regulatory requirements and translate them into system architecture, data models, and ETL designs.
• Design and implement data integration solutions to support Reporting platforms - Perform and oversee data transformation, validation, reconciliation, and data quality assurance to ensure accuracy and regulatory compliance.
• Design, develop, and maintain automation and monitoring scripts using Shell scripts and Batch scripts - Develop, maintain, and optimize PL/SQL objects on Oracle databas ...
• Provide L2/L3 application support, including production issue troubleshooting, impact analysis. - Coordinate with business users, risk teams, and tech teams to resolve data and system issues.
• Oversee and support production operations, batch processing cycles, and critical scheduled jobs.
• Prepare, review, and maintain technical doc (ETL design, data mapping, runbook).
• Ensure full compliance with SDLC, Security policies, Risk controls, and Regulatory standards.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Basic ability to understand business and regulatory requirements with support from senior team members, and assist in translating them into system or data solution requirements.
• Strong ETL frameworks, data lineage, data reconciliation, and data quality management.
• PL/SQL and SQL performance tuning, including query optimization, execution plan analysis, and database efficiency improvement.
• Basic Shell scripting (Bash/KornShell) on Unix/Linux platforms and Windows Batch scripting for automation and operational control.
• Basic Unix/Linux operating systems, including system processes, job scheduling, and troubleshooting.
• Risk Authority, risk management systems, or regulatory reporting applications (Preferable).
• IBM InfoSphere DataStage for enterprise-level ETL and data integration solutions (Preferable).
• 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).

Skills:

Tableau, Automation, Finance, English

Job type:

Full-time

• Own end-to-end ASEAN data collection, validation, consolidation, and reporting processes.
• Ensure data accuracy, consistency, and integrity across ASEAN subsidiaries and functional teams.
• Develop and maintain management reports, dashboards, and performance monitoring tools on a weekly and monthly basis.
• Dashboard & Analytics.
• Design and maintain Tableau dashboards for executive management.
• Translate business requirements into meaningful analytics and actionable insights.
• Identify trends, risks, opportunities, and performance gaps through data analysis.
• Automation & Process Improvement.
• Lead reporting automation initiatives to improve efficiency and reduce manual processes.
• Continuously improve data workflows, reporting architecture, and information management practices.
• Stakeholder management.
• Coordinate with ASEAN subsidiaries and cross-functional teams including Risk, Finance, Compliance, IT, HR, Audit and Fraud.
• Establish reporting requirements, timeliness, and governance standards.
• Manage stakeholders expectations and resolve reporting issues proactively.
• Knowledge Management & Continuity.
• Maintain reporting documentation, data dictionaries, and process manuals.
• Ensure business continuity and knowledge transfer across reporting platforms and reporting cycles.
• Bachelor s degree in Computer Science, Data Science, Information Technology, or a related field. A master s degree in a related field is beneficial.
• Proven ability to lead and manage BI and automation projects from conception through to completion.
• Strong analytical skills, with the ability to interpret complex data and provide actionable insights.
• Excellent communication and presentation skills, capable of conveying complex information to non-technical stakeholders.
• Strong project management skills, including the ability to manage multiple projects simultaneously.
• Proficient in computer literacy, especially tools for data analytics.
• Good command of English, both written and spoken.
• Talent Acquisition Department Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• 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.
• (https://krungsri.com/b/privacynoticeen).
• 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.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINE: Krungsri Career..

Job type:

Full-time

• จัดทำข้อมูลวิเคราะห์ยอดขาย และติดตามข้อมูลยอดขาย เพื่อ monitor การเปลี่ยนแปลงเปรียบเทียบกับช่วงก่อน หรือแผนที่กำหนด และหากพบว่ายอดขายลดลงหรือมีความผิดปกติ ให้สรุปข้อมูลแจ้งผู้บังคับบัญชา เพื่อนำไปใช้พิจารณาและวางแผนการทำงานลำดับถัดไป.
• ตรวจสอบฐานข้อมูล และจัดทำรายงานทุกระบบ เช่น VSMS, SIS, POWER BI ฯลฯ.
• ควบคุมและตรวจสอบ เงินจูงใจ Incentive ของทีม Operation 3 ทีม (SI-SR-POS).
• รวบรวมและวิเคราะห์เปรียบเทียบข้อมูลคู่แข่งจากรายงานต่างๆ เพื่อเป็นข้อมูลในการบริหาร.
• ควบคุมและตรวจสอบ รางวัลและกิจกรรมส่งเสริมการขาย.
• วิเคราะห์ วางแผนและพัฒนาระบบข้อมูล Dashboard ร่วมกับผู้บังคับบัญชา.
• Tracking สรุปข้อมูลการจัดทำกิจกรรม Market Service ทั่วประเทศ R.1-8 โดยการตรวจสอบข้อมูลจากเอกสารการเบิกสินค้าสำหรับทำกิจกรรม และ recheck กับระบบ SVM เพื่อตรวจสอบความถูกต้อง ครบถ้วน.
• งานอื่นๆ ตามที่ได้รับมอบหมาย.
• Job Skills & Qualifications.
• ปริญญาตรีหรือสูงกว่าในสาขาที่เกี่ยวข้อง เช่น สถิติ คณิตศาสตร์ เศรษฐศาตร์ หรือสาขาที่เกี่ยวข้องกับธุรกิจ.
• มีประสบการณ์ในการทำงานด้านวิเคราะห์ข้อมูลอย่างน้อย 1-2 ปี.
• มีความรู้ความเข้าใจในเครื่องมือวิเคราะห์ข้อมูล เช่น SQL, Python, R, Tableau, Power BI เป็นต้น.
• มีความสามารถในการนำเสนอข้อมูลที่ซับซ้อนให้เข้าใจง่าย.
• มีประสบการณ์ในการทำงานในอุตสาหกรรมค้าปลีก (Retail).
• มีความรู้ความเข้าใจในหลักการทางการตลาด.

Skills:

Automation, Big Data

Job type:

Full-time

• Define & Implement Data Strategy: Formulate, communicate, and execute the overall data strategy, ensuring its alignment with the bank's business objectives and regulatory requirements.
• Establish Data Governance: Lead the Data Governance Council (DGC) to define and enforce data governance policies, standards, and procedures. This encompasses ensuring data quality, security, privacy, and compliance with regulations like the Personal Data Protection Act (PDPA) and Bank of Thailand (BOT) guidelines across the entire org ...
• Drive Data Analytics & AI/ML Innovation: Oversee the strategic direction and execution of data architecture, data engineering, data analytics, and data science functions. You will spearhead the development and deployment of advanced AI/ML models for critical banking functions such as credit scoring, customer segmentation, marketing automation, and fraud detection.
• Manage Data Platforms & Infrastructure: Guide the deployment and localization of scalable, cloud-native data platforms (e.g., WeBank s WeDataSphere) and the design of standardized APIs to ensure seamless data sharing and integration capabilities.
• Champion Open Banking & Data Sharing: Drive the adoption and effective utilization of open banking data frameworks, establishing consent-based data sharing mechanisms to enhance customer experience and foster healthy market competition.
• Foster Data Culture & Collaboration: Cultivate a strong data-driven mindset and promote ethical data use across all departments. You will lead the Data Center of Excellence (CoE), functioning as a catalyst for cross-departmental collaboration on high-impact data projects that align with the strategic objectives.
• Talent Development & Knowledge Transfer: Collaborate with the Human Resources department to uplift and train Thai nationals in advanced data capabilities, facilitating crucial knowledge transfer from international consortium partners such as WeBank and KakaoBank.
• Data Monetization: Develop and implement sustainable strategies for data monetization while rigorously upholding ethical standards and ensuring customer trust.
• Extensive Leadership Experience: A proven track record (10+ years preferred) in senior data management, data analytics, and AI/ML leadership roles, with substantial experience in the banking, digital finance, or fintech industry, ideally within a virtual bank environment.
• Deep Technical Expertise: Profound understanding and practical experience with Big Data technologies, AI/ML methodologies, data architecture design, and comprehensive data governance frameworks.
• Regulatory & Security Acumen: Solid knowledge of data privacy regulations (e.g., PDPA) and cybersecurity best practices specifically pertaining to data handling within a financial services context.
• Strategic & Analytical Mindset: Demonstrated ability to translate complex data into actionable insights and drive strategic initiatives that significantly contribute to business growth and innovation.
• Exceptional Leadership & Collaboration Skills: Outstanding capability to lead multidisciplinary teams, influence stakeholders at all levels, and foster effective cross-functional collaboration, including working seamlessly with international consortium partners.

Job type:

Full-time

• We're committed to bringing passion and customer focus to the business.
• Collaborate across the business to understand IT and business constraints Work with product team and data engineer to plan and design data collection strategies, procedures and policies.
• Understand new data sources and process pipelines, and catalog/document them.
• Help to create data pipelines for more efficient and repeatable data science projects.
• Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA).
• Construct and test hypothesis regarding an underlying mechanic of business process.
• Apply various ML and advanced analytics techniques to perform classification or prediction tasks.
• Testing of ML models, such as cross-validation, A/B testing, bias and fairness.
• Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!.

Skills:

Internal Audit, Python, SQL, English

Job type:

Full-time

• Get requirement form various team i.e., internal audit, Retails audit for preparing data.
• Study data source & data structure, Carrying out preprocessing of structured and unstructured data.
• Design data base for store data from source.
• Develop query for import and data cleansing, Data mining or extracting usable data from valuable data sources. Enhancing data collection procedures to include all relevant information for developing analytic systems.
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Developing prediction systems and machine learning algorithms. Using machine learning tools to select features, create and optimize classifiers. Analyzing large amounts of information to find patterns and solutions.
• Co-ordinate with developer team to prepare dashboard report for resenting results in a clear manner.
• Propose solutions and strategies to tackle business challenges and Collaborate with Business and IT teams.
• Maintenance database and optimized for best performance.
• Backup, retore, testing data from backup to make sure that all system functional.
• Bachelor s or master degree in IT and related field.
• Experience with Python, SQL Query language, Minimum of 3 years experience.
• Data analytic skills.
• Understand Business process, operation, data structure and data flow.
• Good inter personal skill and negotiation.
• English communication, Computer literacy (i.e. Excel, Power Point, Word, etc.).

Job type:

Full-time

• We are looking for an HR Data Analytics to join our team and support data-driven decision-making across the HR function. This role is suitable for a candidate with hands-on experience in HR data, reporting, dashboard development, and data analysis..
• Support the management, maintenance, and validation of employee data across the company and group companies, ensuring data accuracy, security, and compliance.
• Develop and implement BI (Business Intelligence) to enhance data-driven decision-making processes in HR.
• Design, develop, and maintain interactive dashboards and reports to provide real-time insights into HR metrics and trends.
• Analyze HR data to identify patterns, trends, and insights that inform strategic decisions and initiatives.
• Support the maintenance of HR datamarts, databases, and structured data sets for reporting and analysis.
• Collaborate with HR and business leaders to understand data requirements and deliver actionable insights that drive HR and business outcomes.
• Stay abreast of industry trends and advancements in HR analytics and data management, incorporating best practices into our operations..
• If you meet below qualifications and are ready to take on a challenging role, we encourage you to apply..
• Bachelor's or Master's degree in Human Resources, Business Analytics, Data Science, or a related field.
• Around 3 years of experience in HR data analytics, HR reporting, business analytics, data analysis, or a related role.
• Strong proficiency in BI tools (e.g., Power BI, Tableau) and data visualization techniques.
• Expertise in data management, including experience with datamarts, databases, and data warehousing.
• Excellent analytical skills, with the ability to translate complex data sets into clear and actionable insights.
• Strong communication and interpersonal skills, with the ability to present data-driven insights to non-technical audiences.

Job type:

Full-time

• Supervise and define the reporting format for sales data analysis, operational results, and compare the KPI targets of the sales system.
• Supervise and define the reporting format for sales promotion activity analysis, ROI analysis, and summarize the results of promotional activities for management.
• Supervise and define the reporting format for marketing data analysis, growth rate, market share, promotion, price, product age, distribution, arrangement, and repeat purchases. Compile reports from both company data and competitor data, etc.
• Supervise the forecasting process.
• Supervise the collection of sales data and closely monitor new product activities.
• Supervise the organization of sales and customer database and establish a systematic approach to data utilization.
• Collaborate in planning and improving the operational system with the sales team and support relevant sales activities. Develop standardized reporting formats nationwide.
• Bachelor's Degree in Accounting, Finance or other related fields
• Over 3-5 years of working experience in analysis or management accounting
• Excellent command of English in both speaking and writing
• Proficient in MS Office, especially advanced Power BI, Excel, PowerPoint, SQL, and Python.
• K. Watcharaporn Tel. 09- --- -913.
• Office of Human Capital
• Chang International Company Limited
• Thaibev Quarter Building, 8-9th Floor, Ratchadaphisek Rd., Khlong Toei, Bangkok 10110.

Skills:

Statistics, Big Data, Python

Job type:

Full-time

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

Skills:

Business Development, Statistics

Job type:

Full-time

• Provide strategic guidance and actionable insights through business intelligence and market and industry analysis to top management in order to achieve sustainable business continuity.
• Looking for a candidate with experience in marketing, campaign execution and analysis, as well as the ability to develop and implement marketing ideas..
• Major Tasks / Responsibilities.
• Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
• Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
• Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
• Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
• Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
• Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
• Having experience in retail market is a plus.
• Having experience in marketing or campaign execution is a plus.
• Experience in a major financial with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• Strong storytelling and communication skills.
• Strong analytical and problem-solving skills.
• Familiarity with data validation tools.

Skills:

SAP, Software Development

Job type:

Full-time

• ตรวจสอบ และปรับปรุงข้อมูลส่วนกลาง ระบบงาน SAP.
• ประสานงานกับผู้ใช้งาน ทีม IT, บริหารสินค้า, ศูนย์การค้า, บัญชี, การเงิน.
• ประสานงานกับผู้ใช้งานในระบบ เกี่ยวกับปัญหา และการแก้ไข.
• ปรับปรุงการทำงานของผู้ใช้งานตามระบบงาน ให้เกิดประสิทธิภาพยิ่งขึ้น.
• จบการศึกษาระดับ ปริญญาตรี สาขาวิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ สารสนเทศ หรือ สาขาอื่นๆ ที่เกี่ยวข้อง.
• มีประสบการณ์ในการวิเคราะห์ปรับปรุงข้อมูลส่วนกลาง ระบบงาน SAP 2 ปีขึ้นไป.
• มีความสามารถในการวิเคราะห์และออกแบบระบบงาน วางแผน ประสานและติดตามงาน.
• มีความรู้ Software Development Life Cycle (SDLC) และ SAP.
• มีความคิดสร้างสรรค์ และรับผิดชอบในการปฏิบัติงาน.
• สามารถในการให้คำแนะนำและการติดตามข้อมูลข่าวสาร.
• มีความรู้ภาษาอังกฤษในระดับดี.
• สถานที่ปฏิบัติงาน: เดอะมอลล์รามคำแหง (สำนักงานใหญ่), Airport Link รามคำแหง.