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Experience:

1 year required

Skills:

SQL, Python, Automation, English

Job type:

Full-time

• Developing data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Collaborate with stakeholders to prepare, process, and validate data for business needs.
• Make recommendations on improvement, maintenance, or other factors to improve the database system.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Requirements: Master's or bachelor's degree in quantitative fields or a relevant field.
• 1-3 years of experience in Data Analytics, Data Engineering, or Business Intelligence.
• Experience in project & stakeholder management responsibilities.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented and enjoy building from the ground up.
• Fresh Graduates are welcome.

Skills:

Power BI, Tableau, Statistics

Job type:

Full-time

• Conduct data collection, cleaning, and exploratory analysis to support retail-related use cases such as customer insights and product performance.
• Assist in developing and evaluating machine learning models for forecasting, segmentation, recommendation, and customer behavior analysis.
• Support GenAI and LLM-related tasks, including text classification, summarization, embedding generation, prompt testing, and preparation of datasets for NLP or RAG-style workflows.
• Prepare and document features for analytics and machine learning workflows, ensuring data quality and reproducibility.
• Build dashboards and visualizations using Power BI, Tableau, Plotly, or matplotlib to present insights to business stakeholders.
• Collaborate with senior data scientists, data engineers, and business teams to understand requirements and translate them into analytical tasks.
• Participate in team knowledge-sharing sessions and continuously develop technical skills.
• Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum of two years of experience in data analytics or data science.
• Proficiency in Python, including pandas, numpy, and scikit-learn.
• Strong SQL skills for working with large datasets.
• Understanding of common machine learning techniques such as regression, classification, and clustering.
• Exposure to GenAI or LLM tools and libraries such as Hugging Face, LangChain, or OpenAI APIs.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
• Experience with basic NLP tasks such as tokenization, text cleaning, or embedding generation.
• Hands-on experimentation with LLMs or GenAI workflows.
• Familiarity with Git or collaborative coding practices.
• Experience in retail, e-commerce, or consumer analytics environments.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

Skills:

Statistics, Python, SQL

Job type:

Full-time

• Lead the end-to-end development of analytics and AI projects that strengthen business and customer intelligence across the Siam Piwat data ecosystem.
• Translate business challenges into data science solutions that deliver measurable outcomes and strategic value.
• Collaborate with MIS, Data Engineering, Data Analytics and Business teams to ensure reliable data flow, technical integration, and sustainable implementation.
• Drive analytics initiatives that inform sales strategies, tenant insights, and evolving market opportunities.
• Technical Execution & Supervision.
• Develop and deploy predictive models and analytics frameworks to understand performance patterns, identify growth drivers, and support decision-making.
• Provide technical direction and support to data scientists and analysts to maintain consistency, accuracy, and quality of analytical outputs.
• Apply best practices in data preparation, model governance, and MLOps to ensure scalability and reliability.
• Work closely with cross-functional partners internally and externally to transform analytical insights into actionable business recommendations.
• Business Impact & Innovation.
• Deliver insights that enhance understanding of customer behavior, tenant performance, and overall sales and customer trends.
• Monitor and assess emerging market and consumer trends to guide future business strategies.
• Present complex findings through clear visualizations and storytelling tailored for executive and business audiences.
• Foster a culture of innovation and continuous improvement in analytics practice.
• Education & Experience.
• Master s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• Minimum 5-7 years of experience in data science, advanced analytics, or AI solution delivery..
• Demonstrated success in developing and implementing data-driven solutions with measurable business impact.
• Experience in retail, customer analytics, or digital transformation environments is preferred..
• Technical Skills.
• Proficiency in Python, SQL, and PySpark for data analysis and model development..
• Solid understanding of machine learning, AI, and statistical modeling frameworks..
• Familiarity with cloud data platforms (DWS, AWS, GCP, or Azure) and version control tools (Git)..
• Experience with visualization and BI tools such as Power BI, Tableau, Apache Superset, or similar..

Skills:

Sales, Negotiation, Software Development, English

Job type:

Full-time

• Provide technical consultancy and design solutions for Enterprise Customers, primarily focusing on Enterprise Data Service products.
• Support the Sales team with technical opportunities, prepare technical proposals, and respond to customer requirements.
• Take ownership of customer solutions and architecture design, including solution costing.
• Collaborate with vendors, providers, and partners to optimize project investment costs for enhanced competitiveness.
• Coordinate and hand over customer solutions to the delivery and operation teams.
• Coordinate with vendors and partners to explore new potential technologies.
• Share technical and service knowledge with internal stakeholders.
• Bachelor of Engineering (Computer, IT, Telecommunication) or Computer Science.
• 5-8 years of experience in IT, Telecommunication, Data Communication Service, Pre-Sales, Post-Sales, or IP Network Operations & Planning.
• At least 5 years of professional experience as a Pre-Sales Engineer in a technical environment.
• Excellent presentation and negotiation skills.
• Strong analytical skills, excellent interpersonal and communication skills.
• Fluency in English is preferable.
• Strong knowledge and experience in Optical, DWDM, MPLS, and Routing are preferable.
• Extensive experience in the ISP, Internet peering, and International connectivity industry is preferable.
• Relevant software development experience or commercial/sales experience.
• Ability to understand and determine an enterprise customer's needs and how AIS's products and solutions might best fit through a consultative approach.
• Ability to thrive in a fast-paced environment, set demanding expectations, and consistently exceed them.
• Must be organized, a self-starter, and capable of delivering high-quality work without constant tactical oversight.

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.

Experience:

3 years required

Skills:

ERP, SQL, Power BI, Data Analysis, Business Statistics / Analysis, Thai, English

Job type:

Full-time

• Participate with customer and business users to gather requirements and summarize key points for project development.
• Integrate data from various business systems/sources (e.g., ERP, CRM, Other) to ensure comprehensive and accurate analysis.
• Design and develop ETL (Extract, Transform, Load) processes to extract data from various sources.
• Prepare the data so it is ready for analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Design, Develop and implement data models to serve customer requirement.
• Design, Build and maintain dashboards and reports that visualize key metrics and performance indicators..
• Bachelor Degree in Data Analytic, Computer Engineering, Computer Science, MIS, Statistics or related fields.
• At least 2-3 years experience in Data Analysis or Business Analysis.
• Proficiency in data tools such as SQL, Excel, BI (Power BI and Tableau), or Python.
• Experience in ERP, CRM, Cloud Technology, Software Development is preferred.
• Very good problem solving, negotiation, presentation and communication skill.
• Good written and verbal English communication.
• A collaborative team player with effective communication abilities..

Experience:

6 years required

Skills:

ETL, SQL, DevOps, English

Job type:

Full-time

• Build and run workloads on Azure Data Factory (ADF) as ETL.
• Design of cloud architecture included as core component ADF.
• Creation of pipelines / linked services / development data flows on ADF.
• Expertise on Azure SQL Database (permissions management, role, authentication).
• Creation of advanced scripts for Azure SQL Database.
• Setup and Configuration of Azure storages Accounts (Blob container, tables, files).
• Setup and Configuration of Azure key vaults.
• Data expertise support to development teams.
• Securing data-related Azure resources (Storage Account, SQL database, key vaults, managed identity).
• Innovative activity with POC implementation to discover new Azure Data workloads.
• Advanced Azure DevOps pipeline configuration.
• Have experience in leading and taking decision independently.
• Should have experience as Data Architect in Implementing the solution.
• Qualifications Bachelor's degree or higher in related field.
• Proven experience 6-9 years of relevant experience.
• Proactive, rigorous & committed.
• Good synthesis skills and ability to convey information effectively.
• Quick learning on projects and ability to work on multiple projects simultaneously.
• Fluent English communication skills.
• Azure Data Factory.
• Azure Managed Services (PaaS): Azure SQL Database, Storage Account, Logic Apps.
• Azure Data Architecture.
• Azure DevOps.
• Azure Key Vault.
• ARM Templates, Terraform.
• Tableau Software / Power BI.
• MS SQL Server 2016/2019 (Data Engine, Analysis Services - Cubes Multidimensional).
• Additional Information This position is based in Bangkok.
• The role involves global collaboration, requiring flexibility to accommodate time zone differences..

Skills:

Assurance

Job type:

Full-time

• Develop and analyze Enterprise Service revenue to understand Product and Service trends within the AIS Group, ensuring that revenue collection, promotion packages, and new services are properly executed according to the company s business conditions.
• Identify suitable QA methods to reduce revenue loss and prevent errors in the Line Operation's work, sharing knowledge to strengthen revenue assurance.
• Verify the completeness and accuracy of service calculations, promotion packages, and offerings for corporate customers.
• Review the calculation of Postpaid Voice and IDD services, as well as IR services in the RBM system, ensuring they are correct, complete, and in line with the rates and conditions set by the company, with no abnormalities that could lead to revenue loss (Real Loss/Opportunity Loss).
• Communicate, coordinate, and follow up on issues causing revenue loss, identify the root causes, and work with relevant departments to resolve the problems, reducing revenue loss, particularly in Voice services.
• Analyze data from various sources within the scope of responsibility using data analytics skills, reflecting trends, performance, efficiency, and effectiveness of Products and Services. Identify abnormalities impacting revenue loss (Real Loss/Opportunity Loss & Fraud), and conduct audits and monitoring.
• Prepare analysis reports to support management strategies and assess risks in various areas.
• Perform other duties as assigned by the supervisor..

Skills:

ETL, Power BI, SQL

Job type:

Full-time

• 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.
• มีประสบการณ์ทำงานในสายงาน Data (BA หรือ SA) 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

Experience:

7 years required

Skills:

Software Development, Excel, Salesforce, English

Job type:

Full-time

• Software Solutions.
• Software development frameworks and methodologies.
• Flexible and adaptive, multi-national environment.
• We're looking for an experienced IT Project Manager to work in our newly established software-related solution team which focus on developing software for enterprises.
• What we want?.
• If you have passion in software development and are delighted to see the work of your team being deployed in real use country-wide, this position is right for you!.
• To excel your work in this position, you should have background growth path as a developer, system analyst, and project manager in enterprise project environments.
• The right candidate should be flexible and adaptive as the solutions and technologies to be used may vary and cover a wide range of development nature including building up from scratch, add-on functionalities on top of foundation products (e.g. Salesforce), and also customization.
• Your responsibility will include applying effective strategy for the projects, planning for software life cycle and activities, tracking and monitoring process, controlling cost and quality, and problem solving or escalating project issues.
• You will be the focal point of contact in the project and use your communication skills to manage expectation and relationship with customers and team members.
• Note that you will possibly work in multi-national project environments so you should feel comfortable in English communication.
• Who are we looking for?.
• 7+ years of experience in software development.
• Knowledgeable in software development framework and methodologies such as RAD, agile, scrum, etc. Real-use experience will be specially considered.
• Experienced in managing software development team with good leadership.
• Possess strong verbal and written communication skills.
• Proficiency in English.
• Having know-how of software quality management.
• Outgoing personality and problem solver.
• Knowledge in AI and the ability to use AI-related tools and technologies.
• MFEC OKR:- As MFEC People, you will be a part of our talent team. Besides your main responsibilities, you do have special projects as part of OKR. However, the percentages will be different according to the positions and teams.
• Location: Head Office: Chatuchak, SJ Infinite One Business Complex

Experience:

2 years required

Skills:

Business Statistics / Analysis, English

Job type:

Full-time

• To communicate and coordinate with all channels of sales team to re-confirm output and training..
• To activate/implement special project; to monitor operation and define the key success factor..
• Planning and monitoring all sales operation in TT channel of sales system smoothly..
• Work closely with the team to understand their data needs and provide actionable insights..
• Initiate, design big picture by canvas tools to support team..
• Job Qualification.
• Bachelor's Degree in Business Administration, Computer Science or related fields..
• Have at least 1-3 years' experience of Support sales team and design BI dashboard..
• Strong in BI Dashboard and Data Analysis and can design visualize presentation..
• Able to clearly communication with internal and external, easy-to-understand and actionable way..
• Able manage multiple projects simultaneously with attention to detail..
• Works well with cross-functional teams, stays flexible and solution-oriented in dynamic environments..
• Stays positive and solutions-focused under pressure..
• Fluency in spoken & written English..

Skills:

SAP, Finance, Accounting, English

Job type:

Full-time

• Engage clients in workshops and interviews to analyze process and reporting requirements.
• Advise clients on industry/ cross-industry leading practices. Advise clients on SAP recommended processes and functions.
• Design target state SAP solutions for clients. Influence clients thinking in adopting leading/ standard practices while developing target state.
• Analyze application landscape to design interfaces to SAP solution.
• Perform SAP configuration and tests. Develop specifications for development of forms/ reports/ interfaces.
• Lead the consultant and client teams through the implementation cycle including planning and execution of testing, migration and cutover.
• Support change management execution by developing training material, delivering training and supporting users post cutover.
• Develop relationships with internal and external stakeholders.
• Your role as a leaderAt Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Managers across our Firm are expected to:Drive vision and blueprint for target state business and solution architecture.
• Take accountability for excellence in design and execution Data Migration solution.
• Provide thought leadership and be recognized as the design authority in your functional and industry domains.
• Engage client leadership to understand their vision and transformation agenda. Lead the engagement team to assist client in achieving the same.
• Take ownership of execution excellence. Drive/ mentor engagement teams to deliver engagements.
• Build relationships with client leadership, and lead on-going business and account development activities.
• Lead pursuit teams focused on new opportunities, and lead major aspects of the proposal development process.
• Coach, lead and support delivery teams and staff.
• Provide input and actively participate in recruitment and retention activities.
• Requirements:Bachelor or Master s degree in Finance and Accounting, Information Technology, Business Admistrative or relevant field, supported by relevant experience.
• Minimum of 10+ years of post-qualification experience working with SAP Functional modules by completed at least 8 end to end full life cycle of SAP implementations.
• Working experience in Consulting firms is most preferred.
• Experience in leading Data Migration among each modules from both functional and technical is a must.
• Experience with S4/Hana is a big plus.
• Deep and wide experience in SAP led transformation programs in diverse industries.
• Broad understanding and appreciation of emerging business and technology paradigms.
• Demonstrated ability to engage client stakeholders on a range of issues.
• A self-motivated individual with ability to chart his/ her route to success.
• Ability to provide situational leadership to engagement teams, and coaching/ mentorship to team members.
• Value driven, inclusive individual committed to client service excellence.
• Willingness to work outside of office base and most of all.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit to our short-term and long-term project assignments.
• Good command of English communication.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 109994In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Skills:

Power BI, Python, SQL

Job type:

Full-time

• Power BI, Python, SQL Query.
• Experienced in managing Big Data - 10 million+ Rows.
• Experienced in FMCG is preferrable.
• วิเคราะห์ข้อมูลจากภายในและภายนอกองค์กร (Internal & External Data Analysis) โดยการเก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีม.
• ตำแหน่งงานนี้จำเป็นต้องผ่านการตรวจสอบประวัติอาชญากรรมตามหลักเกณฑ์ที่บริษัทกำหนด ***.

Skills:

Data Analysis

Job type:

Full-time

• การวิเคราะห์ข้อมูล (Data Analysis).
• กำหนดแหล่งข้อมูลและรวบรวมข้อมูลจากแหล่งต่างๆ.
• Cleaning ข้อมูลตรวจสอบความถูกต้อง และ จัดการข้อมูลที่ยังไม่ครบถ้วนให้สมบูรณ์.
• วิเคราะห์ข้อมูลโดยใช้สถิติ, เครื่องมือวิเคราะห์ และสร้างภาพข้อมูล (Data Visualization) เพื่อค้นหาแนวโน้มและข้อมูลเชิงลึก.
• สร้างรายงานและแดชบอร์ด (Dashboards) เพื่อนำเสนอผลการวิเคราะห์ให้กับผู้บริหารและทีมงาน.
• วิเคราะห์พฤติกรรมลูกค้า, รูปแบบการขาย หรือกระบวนการทำงานของหน่วยงาน Product รวมถึงกลุ่มลูกค้า เพื่อแก้ปัญหาและหาแนวทางปรับปรุง.
• การพัฒนาและปรับปรุงกระบวนการทำงาน (Process Development) โดยใช้ข้อมูลเชิงลึกที่ได้จากการวิเคราะห์มาช่วยแก้ไขปัญหาและปรับปรุงกระบวนการทำงานให้มีประสิทธิภาพมากขึ้น.
• พัฒนากระบวนการหรือเครื่องมือในการเก็บรวบรวมและใช้ข้อมูลให้เกิดประโยชน์สูงสุด.
• ร่วมพัฒนาระบบรายงานให้สอดคล้องกับความต้องการของแต่ละส่วนงานในองค์กร.
• Specification.
• อายุ 35 ปี ขึ้นไป.
• ปริญญาตรี สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำงานด้านวิเคราะห์ข้อมูล พัฒนารูปแบบ มาตรฐานการปฏิบัติงานของ Operation นอกจากนี้ การวิเคราะห์ปัญหา แล้วนำมากำหนดรูปแบบ แนวทางการปฏิบัติงานใหม่ๆ การสื่อสาร การให้คำแนะนำผู้ที่เกี่ยวข้อง พร้อมผลักดันให้เกิดการเปลี่ยนแปลงได้อย่างเป็นรูปธรรม วัดผลได้.
• ประสบการณ์ในการทำงาน อย่างน้อย 3 ปีขึ้นไป.
• หากมีประสบการณ์ตรงดูแลงานด้านการวิเคราะห์งาน Operation จะพิจารณาเป็นพิเศษ.
• มีความเป็นผู้นำ มุ่งมั่น ชอบงานขายและงานบริการ ทั้งลูกค้าภายใน และภายนอก.
• มีทักษะการสื่อสาร โน้มน้าว เจรจา แก้ปัญหาเฉพาะหน้าได้ดี.
• Key Competencies.
• มีความสามารถในการเรียนรู้ ความหลากหลายของรูปแบบสินค้าและบริการใหม่ๆ ได้ดี.
• ความสามารถในการนำเสนอ โน้มน้าว เพื่อให้เกิดการเปลี่ยนแปลง.
• ความสามารถในการติดตามงาน รวมไปถึงช่วยเหลือทีมงาน เพื่อรองรับการเปลี่ยนแปลง และให้บริการลูกค้าได้เป็นอย่างดี.
• ทำงานภายใต้ภาวะความกดดันและแก้ไขปัญหาเฉพาะหน้าได้ดี.
• มีทัศนคติที่ดี และการทำงานร่วมกันกับทีมงานที่เกี่ยวข้องเพื่อความสำเร็จของงาน.

Skills:

SQL, Tableau, Power BI

Job type:

Full-time

• Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
• Statistical Knowledge.
• Mathematical Ability.
• Programming languages, such as SQL.
• Analytic tools such as Tableau, Power BI.
• TeraData, Big data Hadoop Tech, Cloud Tech.
• Bachelor Degrees in MIS, Business, Economic, Computer Science or related field.
• At least 2-3 year of experience with Data Analysis.
• Experienced in designing and architecture BI / Data Analytics Solutions is preferred.

Skills:

Product Development

Job type:

Full-time

• Establish and enforce enterprise-level data governance policies, standards, and controls to support data integrity, security, and lifecycle management..
• Collaborate with stakeholders across business units to define data ownership, stewardship, and accountability models.
• Advise on Data Governance Operating Model, Cloud Governance, and Security Governance to support the client s digital transformation roadmap..
• Digital investment.
• IT infrastructure.
• Application governance.
• Cybersecurity.
• Data & AI.
• Digital product development.
• Facilitate effective data collection, storage, access, and usage aligned with industry best practices and regulatory requirements.
• Lead data stewardship initiatives ensuring consistent data quality, metadata management, and data lifecycle processes.
• Provide expert advisory on governance implications across business areas and propose solutions for cross-team challenges.
• Support cloud governance management and implementation aligned with enterprise architecture and security standards.
• 7-12 years of experience in Data Governance, IT Governance, or Technology Strategy roles..
• Expert proficiency in IT Governance (required)..
• Strong proficiency in Data Governance and governance operating model design (recommended)..
• Experience in Cloud Governance, Security Governance, and digital operating model development (preferred)..
• Strong stakeholder engagement and influencing skills, with the ability to advise senior leaders.
• Experience working on large-scale digital transformation programs is an advantage.
• Strong analytical, problem-solving, and communication skills..

Skills:

Budgeting, Procurement, Excel

Job type:

Full-time

• Support the annual and quarterly budgeting process by collecting and consolidating data from multiple teams.
• Monitor and analyze monthly spending to ensure the division stays within budget and follows company policies.
• Prepare and reconcile accrual budgets and ensure accuracy between planned vs. actual expenses.
• Review and control PR/PO issuance to support responsible spending.
• Improve and manage procurement workflows, office supply control, and standardized operating processes.
• Maintain accurate inventories of assets, software licenses, and equipment used in the division.
• Coordinate with internal and external stakeholders on budgeting, reporting, and operational matters.
• Ensure new hires receive complete and timely office equipment and tools.
• Use advanced Excel, Power Query, and data analytics tools to automate reports and provide financial insights..
• Bachelor s degree in Accounting, Business Administration, Finance, Economics, or related field.
• At least 3 years of experience in accounting, budgeting, financial operations, or related roles..
• Strong knowledge of accounting principles, expense control, and basic procurement processes.
• Solid understanding of loan or leasing businesses is a plus.
• Advanced Excel (PivotTable, Power Query, XLOOKUP, automation).
• Experience with data analysis tools.
• Strong analytical and problem-solving abilities with great attention to detail.
• Good interpersonal skills, service-minded, adaptable, and proactive.

Job type:

Full-time

• Education: Information Systems, Data Analytics, Marketing Technology, or Business Intelligence.
• Experience: 3-5 years in system management, data analysis, or MarTech projects.
• Customer segmentation and data analysis.
• Process optimization and system integration skills.
• Collaboration with IT and data teams for reporting enhancement.
• Understanding of customer journey analytics.
• ท่านได้อ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในรพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร.

Job type:

Full-time

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
• We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
• Data Analysis and Modeling
• Develop predictive models for risk assessment and market analysis.
• Design machine learning algorithms for classification, regression and fraud detection.
• Create automated systems for customer behavior analysis.
• Strategic Leadership
• Identify opportunities for data-driven solutions with stakeholders.
• Present analytical findings to executive management.
• Education and Experience
• Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
• Minimum 2 years of experience in financial data science.
• Technical Skills
• Proficiency in Python, and SQL.
• Strong data analysis skills.
• Solid understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Domain Knowledge
• Understanding financial markets and banking operations.
• Financial modeling and quantitative analysis expertise.
• Understanding basic fraud detection and anomaly detection.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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:

Quality Assurance, Assurance, Data Analysis, English

Job type:

Full-time

• Perform daily operational tasks such as quality inspection, guidelines and process optimization, queue assignment, and handling escalations for the evaluation project.
• Work closely with stakeholders to stay updated on guideline developments and provide feedback on implementation and execution.
• Conduct daily audits on an internal system and provide error analysis and feedback to stakeholders (R&D & Product Manager).
• Monitor the quality scores of evaluators and conduct root cause analysis with the management team.
• Monitor project data, record daily output and quality scores, prepare data analysis/reports for projects, and validate reports and data provided to stakeholders/partners.
• Localize the guidelines and design training schedules and coordinate and liaise with key stakeholders to ensure the successful go live within the targeted timeframe.
• Deliver process/product/guideline training to new joiners.
• Play a role in setting up product knowledge tests, sharing result analysis, and working with key stakeholders to improve the product knowledge of the team.
• Completion of Bachelor's degree or above.
• Proficiency in English and Thai as working languages.
• 1 year of experience in Quality Analyst/Quality Assurance, particularly in search engine evaluation.
• Familiarity with search engines, social media algorithms, and SEO.
• Demonstrated computer proficiency with Office software.
• Deep understanding of local culture and internet usage habits.
• Attention to detail and ability to use data analysis to identify trends.