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Skills:

Statistics, Python, SQL

Job type:

Full-time

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience in data science, machine learning, and predictive analytics, preferably in the banking or financial services industry.
• Strong expertise in Python, R, SQL, and big data frameworks (Spark, Hadoop).
• Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven track record of developing and deploying ML models in production environments.
• Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong knowledge of statistical modeling, time-series forecasting, NLP, and deep learning techniques.
• Excellent problem-solving skills and ability to communicate complex data insights to non-technical stakeholders.
• Experience in credit risk modeling, fraud detection, or financial forecasting.
• Knowledge of graph analytics, reinforcement learning, or advanced optimization techniques.
• 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 the Bank. .

Skills:

Project Management, Scrum, Product Owner

Job type:

Full-time

• Bachelor s degree in Business Administration, Innovation Management, Computer Science, Data Science, or a related field.
• At least 7 years of experience managing projects, with at least 2 years focused on innovation, digital transformation, or emerging technologies.
• Proven experience in end-to-end project management, including planning, execution, monitoring, and delivery.
• Experience working with project management tools such as JIRA, Trello, Asana, or MS Project.
• Knowledge of data analytics frameworks, predictive models, and data-driven decision-making methodologies.
• Understanding of emerging technologies (e.g., AI, machine learning, Generative AI, IoT) and innovation frameworks.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent stakeholder management, communication, and presentation skills.
• Ability to work in a fast-paced, agile environment with cross-functional teams.
• Certifications: PMP, Prince2, Agile (Scrum Master, Product Owner), or Design Thinking certifications.
• 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 the Bank. .

Skills:

SQL, Javascript, Research

Job type:

Full-time

• Manage and maintain large datasets related to affiliate operations, ensuring data accuracy and integrity.
• Develop, optimize, and execute SQL queries to extract, manipulate, and analyze data for reporting and strategic planning.
• Use JavaScript, HTML, and CSS to design, implement, and enhance data visualization tools and dashboards.
• Provide in-depth analysis of affiliate program performance, identifying trends and recommending actionable strategies.
• Collaborate with internal teams (key account, campaign marketing, commercial, product) to define metrics, set KPIs, and support data-driven decisions.
• Automate routine reporting tasks and build dynamic dashboards to streamline affiliate program monitoring.
• Research and resolve data discrepancies, ensuring reliable and consistent reporting across the organization.
• Monitor the performance of affiliate campaigns and provide recommendations to improve effectiveness.
• Stay updated with the latest tools and technologies for data analysis and reporting to implement best practices.
• 4-5 years of experience in a data analysis role, preferably within an e-commerce or affiliate marketing environment.
• Advanced proficiency in SQL for data extraction, manipulation, and analysis.
• Hands-on experience with JavaScript, HTML, and CSS for data visualization and dashboard creation.
• Strong understanding of data management, reporting, and analytics tools.
• Proven ability to analyze complex datasets and provide clear, actionable insights.
• Detail-oriented, with excellent problem-solving and critical-thinking skills.
• Effective communication skills to present findings and recommendations to non-technical stakeholders.
• Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
• Ability to work independently and as part of a team in a fast-paced environment.

Skills:

Excel

Job type:

Full-time

• Conceptualizing and executing trade promotions and rolling out impactful in-store campaigns in collaboration with marketing and sales teams.
• Developing and implementing trade marketing strategies to increase brand visibility and drive sales.
• Collaborating with sales teams to identify market trends and opportunities for product promotion.
• Creating and executing trade marketing campaigns and promotions to support product launches and achieve sales targets.
• Monitoring and analyzing sales data to evaluate the effectiveness of trade marketing initiatives.
• Building and maintaining strong relationships with key trade partners and distributors.
• Coordinating with cross-functional teams, including marketing, sales, and supply chain, to ensure seamless execution of trade marketing activities.
• Analyzing and recommending brands/channel combinations to maximize sell-out and profitability..
• Bachelor's degree in marketing, business administration, or a related field.
• Previous experience in trade marketing or sales, preferably in the consumer goods industry.
• Strong analytical skills and ability to interpret market data and trends.
• Proficiency in Microsoft Excel.

Skills:

Data Analysis, Python, SQL

Job type:

Full-time

• Data Collection and Cleaning: Gather data from various sources and prepare it for analysis by cleaning and checking for completeness or errors.
• Data Analysis: Utilize statistical techniques to study, analyze, discover insights, and derive meaningful data-driven conclusions.
• Reporting: Create reports in various formats, presenting data through graphs, features, or figures for stakeholders' use.
• Collaboration: Work with other teams to plan data analysis or resolve specific issues affecting organizational goals.
• Performance Monitoring: Define and track key performance indicators (KPIs) to measure the effectiveness and efficiency of various projects.
• Strategic Planning: Assist the management team in strategic planning by using data analysis to improve workflows and processes.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as PowerBI, R, Python, SQL. C++.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL).
• Knowledge of ETL tools and techniques for data integration and transformation is a plus.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

Skills:

Power BI, Excel, Microsoft Office

Job type:

Full-time

• วิเคราะห์ และจัดทำรายงานเปรียบเทียบข้อมูล ต่างๆ เช่น รายวัน, รายเดือน, รายปี โดยเปรียบเทียบกับข้อมูลในอดีตเป้าหมาย และการประมาณการในอนาคต เพื่อนำเสนอผู้บริหาร.
• จัดทำงบประมาณประจำปีในส่วนของ ยอดขาย และค่าใช้จ่ายส่งเสริมการขาย.
• จัดทำรายงานสรุป Profit & Loss ประจำเดือนในมุมมองบริหารฯ เพื่อนำเสนอผู้บริหาร.
• จัดทำฐานข้อมูลตามแนวทางต่างๆ เพื่อสนับสนุน การคำนวณ/การทำรายงานของส่วนงานอื่นๆ ที่เกี่ยวข้อง เช่น เป้าหมายการจ่ายเงินจูงใจให้กับพนักงาน, เป้าหมายการจ่ายเงินรางวัล เป็นต้น.
• ออกแบบ Dashboard สำหรับข้อมูลด้านต่างๆ ที่เกี่ยวข้อง ให้ผู้ใช้งานเข้าใจ และสามารถนำไปใช้ได้ง่าย เช่น Power BI.
• ออกแบบ Template ให้ส่วนงานต่างๆที่เกี่ยวข้อง เพื่อรองรับการทำงานในการรวบรวมข้อมูล เพื่อช่วยให้การทำงาน ได้ผลลัพธ์ที่รวดเร็วขึ้น.
• วิเคราะห์ข้อมูลอื่น ๆ ที่เกี่ยวข้อง ตามที่ได้รับมอบหมาย.
• ให้คำแนะนำในกาวิเคราะห์ข้อมูล แก่หน่วยงาน ต่าง ๆ ที่มีการใช้งานข้อมูล.
• งานอื่น ๆ ที่ได้รับมอบหมาย.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม MS Excelขั้นสูง.
• มีทักษะการใช้คอมพิวเตอร์อื่นๆ ได้เป็นอย่างดี: Microsoft Office; Word, Power Point.
• มีความสามารถทางการวิเคราะห์ การวางแผน และการจัดการอย่างเป็นระบบ และมีมาตรฐานในการทำงาน.
• มีทักษะในการสื่อสาร และความสามารถ ในการเจรจา ต่อรอง.
• มีความสามารถในการเรียนรู้สิ่งใหม่ ๆ ได้รวดเร็ว.
• มีทักษะในการนำเสนองาน.
• มีทักษะในการใช้ Power BI (ถ้ามี).
• มีความรู้พื้นฐานด้านการเขียนโปรแกรมต่าง ๆ (ถ้ามี).
• ติดต่อสอบถาม.
• บริษัท โมเดิร์นเทรด แมนเนจเม้นท์ จำกัด.
• อาคารเล้าเป้งง้วน 1 ชั้น 26 ถนนวิภาวดีรัสิต แขวงจอมพล เขตจตุจักร แขวงจอมพล เขตจตุจักร จังหวัดกรุงเทพมหานคร.

Skills:

ETL, Big Data, SQL

Job type:

Full-time

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

SQL, Python, SAS, English

Job type:

Full-time

• Operating and support internal audit strategies in IT and Engineering process.
• Due to professional internal audit standards for work with corporate stakeholders (auditee).
• Gather information and analyze data related to audit plan using any techniques.
• Analyze data, risks, and sufficiency of the internal control system in the organization s operations.
• Data investigation and monitoring.
• Presenting and writing the summary issue in the report and the data visualization.
• Bachelor or higher in Computer Engineering / Computer Science / IT or any related field.
• Experience at least 2 years in Data Analytics, Information Security, IT Auditor related field.
• Good understanding of data management such as data governance, data analytics, data security, etc.
• Good developing of SQL command, Python, Visual C+, and programming techniques.
• Experience in data visualization tools such as PowerBI, SAS Viya, Tableau etc.
• Skill of project management or team leader.
• Professional certificate of CISA (Certified Information Systems Auditor) or related certificates are advantage.
• Good command in English and Computer literacy.

Job type:

Full-time

• บันทึกรายละเอียดลูกค้า วงเงินสินเชื่อการค้า / เงื่อนไขการชำระเงิน และหลักประกัน เข้าระบบ ตรวจสอบและปรับปรุงข้อมูลลูกค้าในระบบให้ถูกต้อง ครบถ้วน และเป็นปัจจุบัน
• ดูแล ตรวจสอบหลักประกัน เช่น เงินสด หนังสือค้ำประกัน (BG) ให้ถูกต้องตามข้อกำหนดของบริษัทฯ และมีผลบังคับใช้ตามกฎหมาย พร้อมทั้งการให้ผลตอบแทนกรณีหลักประกันเป็นเงินสด เพื่อลดความเสี่ยงในการเรียกเก็บเงินไม่ได้
• ควบคุมและตรวจสอบการใช้วงเงินสินเชื่อการค้าของลูกค้าให้เป็นไปตามนโยบายสินเชื่อ.
• ให้ข้อมูลภาระหนี้ และหลักประกัน และประสานงานกับฝ่ายขายเพื่อติดตามเอกสารที่จำเป็นต่อการพิจารณาคำขอเปลี่ยนแปลงวงเงินสินเชื่อและหลักประกัน.
• ปริญญาตรี สาขาการเงิน บัญชี เศรษฐศาสตร์ หรือ สาขาอื่นที่เกี่ยวข้อง
• มีประสบการณ์ด้านการบันทึกบัญชีลูกหนี้, ประสบการณ์การใช้ SAP ไม่ต่ำกว่า 8 ปี หากมีประสบการณ์ด้านการเงินการธนาคารหรืองานสินเชื่อจะพิจารณาเป็นพิเศษ
• มีความละเอียดรอบคอบสูง มีความคิดสร้างสรรค์
• มีทักษะในการวางแผน บริหารจัดการ เจรจาต่อรอง และแก้ปัญหาเฉพาะหน้าได้ดี
• มีทักษะในการวิเคราะห์และให้ความเห็นตามที่กฎเกณฑ์ นโยบาย และระเบียบ
• มนุษยสัมพันธ์ดีและมีทักษะการสื่อสาร ติดต่อประสานงานได้เป็นอย่างดี
• สามารถทำงานภายใต้ภาวะกดดันได้.

Skills:

Business Development, Creative Thinking, Project Management, English

Job type:

Full-time

• Strong analytical and problem-solving skills to identify commercial opportunity.
• Working well in a cross-disciplinary team with different types of stakeholders (IT, Agency, Business, Management).
• Business Development of Data Intelligence for corporate strategy.
• Analyze internal and external data in various aspects to identify threats & opportunities and provide information/report for management or related business unit team to plan activities and strategies.
• Participate in the initiative's development plan of business unit / brand plans and align with corporate strategy, objectives and KPIs.
• Coordinate and consolidate with the related department to implement a project or tracking the project progress and provide corrective supervision if necessary.
• Create and deliver insights report on new ideas to the management team or business units and seek appropriate decisions, directions, and approvals.
• Bachelor s or Master s degree in business or related field of study.
• Minimum 5-8 years Performance Management function / Commercial Analyst roles.
• Experience in corporate/channel/brand/segment strategy.
• Experience working in Data Analytic related projects.
• Excellent analytical and problem-solving skills.
• Ability to apply logical and creative thinking to solve complex business problems.
• Ability to define the problems and frame answers in a logical and structured manner.
• Good project management, team leadership and sense of ownership.
• Good co-ordination skill with positive attitude and ability to work under pressure.
• Strong communications, customer relationship and negotiation skills.
• Good command of both written and spoken English.
• TECHNICAL SKILLS: Basic understanding of data ecosystem, Advanced skills in dashboard and BI tools.
• Conceptual knowledge of data and analytics, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

Skills:

Employer Branding, Branding, Automation

Job type:

Full-time

• Collect, clean, and integrate HR data from various sources, including HRMS, Excel, Google Sheets, and text files, to ensure accurate and reliable data for analysis.
• Develop and maintain HR analytical reports and dashboards, including executive dashboards, that support decision-making across HR areas, such as turnover analysis, Manpower, employer branding activities, etc.
• Implement HR automation processes to streamline data workflows.
• Coordinate and execute project-related data analytics tasks and ad-hoc projects, ensuring timely and accurate completion.
• Stay updated on emerging technologies, especially AI, to enhance HR data solutions.
• Education: Bachelor s Degree in IT, Computer Science, Computer Engineering, Data Analytics, or a related field. An advanced degree in a relevant area is a plus.
• Dashboard Tools: Proficiency in creating and managing interactive dashboards using Power BI Desktop, Power BI Service, Looker Studio, and Excel.
• Data Analysis Tools: Strong experience in data analysis and transformation using Power Query, SQL, and Python, including data extraction, transformation, and query optimization.
• Application Tools: Knowledge of and experience with no-code/low-code platforms (e.g., Power Apps, AppSheet) for creating applications and automating workflows.
• Project Management: Proven ability to manage multiple projects simultaneously, adapt to fast-paced environments, and consistently meet deadlines.
• Communication Skills: Strong verbal and written communication skills, with the ability to present complex, data-driven insights in a clear and impactful manner to non-technical stakeholders.

Job type:

Full-time

• วิเคราะห์ พิจารณา และทบทวนวงเงินสินเชื่อแก่ลูกค้าในการซื้อขาย เงื่อนไขการชำระเงิน และหลักประกัน ที่เหมาะสม ภายใต้ความเสี่ยงที่ยอมรับได้ ตลอดจนตรวจสอบและปรับปรุงข้อมูลลูกค้าในระบบให้ถูกต้อง ครบถ้วน และเป็นปัจจุบัน
• ให้ความเห็นด้านเครดิตกรณีการขายผ่านคำสั่งซื้อที่มีสถานะเกินวงเงินและ/หรือเกินกำหนดชำระ
• พัฒนา ปรับปรุง ระบบการประเมินเกรดการค้าและระบบงานด้านสินเชื่อ เพื่อมีระบบฐานข้อมูลที่ครบถ้วน รวดเร็ว และมีประสิทธิภาพเพิ่มขึ้น
• จัดทำและวิเคราะห์รายงานที่เกี่ยวข้อง เช่น รายงานการจัดเกรดการค้า รายงานลูกหนี้ค้างชำระ
• ทำหน้าที่เป็นเลขาของคณะอนุกรรมการสินเชื่อ รวมถึงการจัดการประชุม การจัดเตรียมเอกสารประกอบการประชุม และการจัดเตรียมรายงานการประชุม
• ดูแล ตรวจสอบหลักประกัน เช่น เงินสด หนังสือค้ำประกัน (BG) ให้ถูกต้องตามข้อกำหนดของบริษัทฯ และมีผลบังคับใช้ตามกฎหมาย พร้อมทั้งการให้ผลตอบแทนกรณีหลักประกันเป็นเงินสด เพื่อลดความเสี่ยงในการเรียกเก็บเงินไม่ได้
• ประเมินค่าเผื่อหนี้สงสัยจะสูญรายไตรมาส และรายปี สำหรับจัดทำงบการเงิน
• ประสานงานและให้ข้อมูลกับบริษัทประกันภัย (Trade Credit Insurance) ในการประเมินวงเงินให้สินเชื่อกับลูกค้า
• ปริญญาตรี/โท สาขาการเงิน บัญชี เศรษฐศาสตร์ หรือ สาขาอื่นที่เกี่ยวข้อง
• มีประสบการณ์ด้าน การเงินการธนาคารหรืองานสินเชื่อไม่ต่ำกว่า 10 ปี
• มีความละเอียดรอบคอบ มีความคิดสร้างสรรค์
• มีทักษะในการวางแผน บริหารจัดการ เจรจาต่อรอง และแก้ปัญหาเฉพาะหน้าได้ดี
• มีทักษะในการวิเคราะห์และให้ความเห็นตามที่กฎเกณฑ์ นโยบาย และระเบียบ
• มนุษยสัมพันธ์ดีและมีทักษะการสื่อสาร ติดต่อประสานงานได้เป็นอย่างดี
• หากมีประสบการณ์การใช้ SAP จะได้รับการพิจารณาเป็นพิเศษ
• สามารถทำงานภายใต้ภาวะกดดันได้.

Job type:

Full-time

• Bachelor s Degree in Information Technology, Computer Science or another relevant field.
• At least 1-year related work experience in Data Migration or Implementation.
• Knowledge and working experience in handling SAP MM, FI or SD module.

Skills:

Statistics, Data Analysis, SAS, English

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2.
• Experience in R studio, data modeling, hypothesis testing is a plus.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

Skills:

Data Analysis, Finance, SQL, English

Job type:

Full-time

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• 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:

SAP

Job type:

Full-time

• Design, build and configure applications to meet business process and application requirements.
• Keep abreast of current and emerging SAP technologies and trends and assist in the selection of robust and appropriate technologies.
• Design and deliver retail-specific processes and end to end functional configuration in SAP.
• Demonstrate technical expertise in end-to-end configuration of sales and supply chain processes in SAP (or S/4 HANA).
• At least 1 year of experience as SAP SD Consultant.
• Degree in Information Technology, Computer Science or another relevant field.
• Hands on experience in Implementation or Data Migration is a must.
• Experience in data migration is a must.

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Governance and Security: Establish and enforce data governance policies and procedures, including data privacy and security measures, to ensure compliance with industry regulations and protect sensitive data.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand their data needs, provide data solutions, and support their analytical initiatives.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Documentation: Maintain documentation of data processes, data flows, data models, and system configurations, ensuring accuracy and accessibility for future reference.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Understanding of data governance, data security, and regulatory compliance requirements.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced environment and handle multiple projects simultaneously.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

Job type:

Full-time

Greenline Synergy provides Data Governance service to BDMS hospitals to ensure data is secure, private, accurate, available, and usable. It includes the actions people must take, the processes they must follow, and the technology that supports them throughout the data life cycle.

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

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.