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Job type:

Full-time

• Partner with sales teams to capture customer requirements and architect comprehensive technical solutions for complex, integrated projects.
• Develop and deliver in-depth product presentations and demonstrations to clients, showcasing our solutions' capabilities.
• Create detailed technical proposal documents while optimizing equipment selection and engineering estimations.
• Provide expert technical guidance to ensure competitive and compliant bid submissions.
• Support customers with specialized product knowledge and technical expertise throughout the sales cycle.
• Demonstrated expertise in technical solution development and pre-sales consulting.
• Strong background in delivering product demonstrations and technical presentations.
• Deep understanding of engineering principles and equipment interfaces.
• Excellent analytical and problem-solving capabilities.
• Outstanding communication skills to effectively collaborate with sales teams and clients.
• Opportunity to work on challenging, complex technical projects.
• Platform to showcase your expertise and influence technical solutions.
• Continuous learning and growth in specialized product domains.
• Collaborative environment with cross-functional teams.
• Independence to drive technical solutions while making meaningful impact.
• Let us learn about you! Apply today.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 40 billion global revenue
• 9% organic growth
• 150 000+ employees in 100+ countries.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

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 2 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.).

Skills:

SQL, Power BI, Python

Job type:

Full-time

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

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..

Skills:

Statistics, SQL, Excel

Job type:

Full-time

• Analyze collections portfolio performance (e.g., delinquency rates, roll rates, recovery rates) and provide actionable insights.
• Develop and maintain dashboards and reports to track collections KPIs and agent performance.
• Identify trends, risk segments, and behavioral patterns to improve collections strategies.
• Support strategy design such as segmentation, prioritization, and treatment optimization.
• Collaborate with Collections teams to translate business needs into analytical solutions.
• Perform ad-hoc analysis to support decision-making and ongoing initiatives.
• Ensure data accuracy, integrity, and consistency across reporting systems.
• Automate reporting processes to improve efficiency and reduce manual work.
• QualificationsBachelor s degree in Data Analytics, Statistics, Mathematics, or a related field.
• 2-4 years of experience in data analysis (experience in collections, banking, or financial services is a plus).
• Strong proficiency in SQL and Excel; experience with Python, R, or BI tools (e.g., Power BI, Tableau) is preferred.
• Good understanding of collections business is an advantage.
• Strong analytical thinking and problem-solving skills.
• Ability to communicate insights clearly to non-technical stakeholders.
• Detail-oriented with a high level of accuracy.

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.

Experience:

3 years required

Skills:

Power BI, Python, SQL, English

Job type:

Full-time

• Build propensity model to select leads at partner s site.
• Track portfolio performance and work with marketing team to find innovative ways to improve portfolio performance.
• Document processes, code, and model decisions for transparency and reproducibility.
• Build and maintain reports / dashboards (Power BI and Power Pivot).
• Bachelor s or Master s degree in computer science, Engineering, or related field.
• 1-3 years of hands-on experience in data analyst / data science.
• Strong proficiency in Python and SQL for data manipulation and propensity model development.
• Proficiency in Power BI.
• Excellent problem-solving and communication skills.
• Good command in English.

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:

SQL, Visio, Microsoft Office

Job type:

Full-time

• For all RDT s requirement and enhancement, Provide data availability analysis, data source, data extraction criteria, sign off all the RDT changes, testing and ensure the correct result, together with related Domain expert, Data owner and support functions.
• Propose solutions to resolve issues/requirements and confirm final data extraction logic with IT-RDT team.
• Support and/or manage day-to-day DQ issue and/or questions from BOT, and provide sol ...
• Maintain RDT Center parameters.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance more than 6 years for team lead.
• Experience in regulatory data management,its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
• Well-versed in RDT regulation literacy.
• Advance Business Analytical skill, Business Rules and Business Solutions.
• Advance Data Model Mindset.
• Advance SQL/ Visio.
• Microsoft Office: Excel/ Word/ Power Point.
• Data profiling with variety data sources.
• Ad-hoc management.
• Well interpersonal skill with IT/Domain Expert/Data Owner.
• 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:

SQL, ETL, Project Management, English

Job type:

Full-time

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

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.

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.

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.

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:

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!.

Job type:

Full-time

• เรียกรายงานรับส่งไฟล์เพื่อขอกรมธรรมกับบริษัทประกัน.
• เรียกรายงานยกเลิกประกันกับบริษัทประกัน.
• ตรวจสอบความถูกต้องของการรับกรมธรรม์จากบริษัทประกัน.
• ติดต่อประสานงานกับบริษัทประกันและหน่วยงานที่เกี่ยวข้อง.
• ติดตามกรมธรรม์ค้างรับ.
• จบปริญญาตรี สาขาใดก็ได้ที่เกี่ยวข้องกับการปฎิบัติงาน.
• มีทักษะความรู้เกี่ยวกับคอมพิวเตอร์พื้นฐาน: MS Word, MS excel เป็นอย่างดี.
• มีประสบการณ์เกี่ยวกับงานประกันภัยหรืออื่นๆที่เกี่ยวข้อง.

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.

Skills:

Electrical Engineering, Mechanical Engineering, English

Job type:

Full-time

• Supervise contractors who perform servicing or preventive maintenance.
• Perform limited maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements.
• Perform root cause analysis for operational issues.
• Troubleshoot facility and rack level events.
• Ensure all personnel on-site follow safety protocols.
• Work on-call and a rotating schedule as needed.
• Take daily operational readings and provide metrics reporting to senior engineers.
• Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization.
• A day in the life
• The Data Center Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center.Walk job sites in uneven terrain.
• Work at heights and from ladders.
• Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or craw.
• Regularly lift and/or move up to 4o pounds; and participate in group lifts for 41 pounds or more.
• Carry objects weighing up to 40 pounds for short distances.
• Work shifts longer than eight hours in duration.
• About AWS
• Diverse Experiences
• Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying.
• Why AWS
• Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve.
• Inclusive Team Culture
• AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
• Mentorship and Career Growth
• We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• BASIC QUALIFICATIONS.
• Associates Degree or Technical Degree in Electrical Engineering or relevant discipline.
• Fluent in English language, both written and spoken.
• 2+ working in a Data Center or Mission Critical Environment.
• PREFERRED QUALIFICATIONS.
• Bachelor s Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

Skills:

SQL, Python, SAS

Job type:

Full-time

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment..