เงื่อนไขการค้นหา

ทักษะ:

SQL, Visio, Microsoft Office

ประเภทงาน:

งานประจำ

• 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).

ทักษะ:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

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

ทักษะ:

Statistics, SQL, Excel

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Statistics, Marketing Strategy, SQL

ประเภทงาน:

งานประจำ

• Develop analytical frameworks to evaluate business performance across key marketing and commercial initiatives.
• Analyze complex business and marketing data to generate actionable insights that support strategic decision-making and drive business growth.
• Build and maintain business dashboards and reporting tools, enabling stakeholders to effectively monitor campaign performance and key business metrics.
• Partner with business leaders to identify growth opportunities and translate data into strategic recommendations.
• Campaign Performance & ROI Optimization.
• Monitor and evaluate campaign investments, promotional strategies, and seller budget utilization to maximize marketing effectiveness and business ROI.
• Identify performance gaps and recommend optimization strategies to improve campaign efficiency, budget allocation, and commercial outcomes.
• Deliver regular business performance reviews, campaign forecasting, ROI analysis, and executive-ready recommendations to key stakeholders.
• Support major platform campaigns by providing performance tracking, business insights, and strategic recommendations throughout the campaign lifecycle.
• Cross-Functional Strategy & Business Partnership.
• Partner closely with Data Science and Analytics teams to design and improve automated reporting solutions and performance measurement frameworks.
• Collaborate with Campaign, Marketing, Category, Commercial, Creator Operations, and Product teams to identify business opportunities and optimize future marketing initiatives.
• Serve as a strategic business partner by providing analytical support and influencing cross-functional decision-making through data-driven insights.
• Drive continuous improvements in business performance through strong collaboration across local and regional teams.
• Team Leadership & Strategic Project Management.
• Lead and develop a team of strategy and business analytics professionals, fostering a culture of curiosity, ownership, collaboration, and continuous learning.
• Set team priorities and provide strategic direction based on business objectives, growth opportunities, and organizational priorities.
• Drive cross-functional strategic initiatives while ensuring alignment across stakeholders and effective execution of key business projects.
• Promote knowledge sharing, analytical excellence, and best practices to improve overall business outcomes.
• Bachelor's degree or above in Business, Economics, Marketing, Statistics, Data Analytics, or a related field.
• 4+ years of experience in business strategy, commercial strategy, business analytics, management consulting, marketing strategy, or related functions.
• Strong analytical skills with advanced proficiency in Microsoft Excel for handling large and complex datasets.
• Experience using business intelligence and data visualization tools such as SQL, Python, R, Tableau, or similar analytical platforms.
• Strong problem-solving, stakeholder management, and project management capabilities with the ability to influence cross-functional teams.
• Excellent communication skills with the ability to present data-driven insights to senior stakeholders.
• Experience in e-commerce, digital platforms, marketplaces, technology, consulting, or high-growth internet companies.
• Experience supporting large scale marketing campaigns, growth initiatives, or commercial strategy projects.
• Familiarity with dashboard development, business intelligence reporting, and performance measurement frameworks.
• Ability to balance strategic thinking with hands-on execution in a fast-paced and dynamic environment.

ทักษะ:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

• Develop and integrate machine connectivity (PLC, sensors) to data platforms.
• Design and implement real-time dashboards (OEE, downtime, production KPIs).
• Lead digital transformation initiatives (MES, IoT, automation).
• Analyze manufacturing data to improve productivity and reduce losses.
• Collaborate with production and maintenance teams to deploy solutions.
• Experience in manufacturing environment (mandatory).
• Knowledge of PLC, SCADA, or industrial communication protocols.
• Strong data skills (SQL, Power BI, Python preferred).
• Strong automation (RPA, Power Automate, Power App).
• Experience with IoT / MES systems, AI / Predictive maintenance is a plus.
• Strong problem-solving with hands-on implementation mindset.

ทักษะ:

Internal Audit, Python, SQL, English

ประเภทงาน:

งานประจำ

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

ทักษะ:

Data Analysis, SQL, Tableau

ประเภทงาน:

งานประจำ

• Develop financial models, including sensitivity analysis, to support strategic decision-making by senior management.
• Evaluate business opportunities, investment scenarios, and financial impacts.
• Business Situation Analysis.
• Analyze complex business situations and translate them into structured financial perspectives.
• Provide clear recommendations based on analytical findings.
• Data Analysis & Insights.
• Collect, analyze, and interpret data from both internal and external sources.
• Generate insights that support strategic planning and executive-level decisions.
• Performance Monitoring.
• Track and evaluate overall company performance against key metrics and strategic goals.
• Identify performance gaps and propose improvement initiatives.
• Framework Development.
• Design and implement analytical frameworks to assess business performance and operational effectiveness.
• Standardize tools and methodologies for ongoing performance evaluation.
• Ad-hoc Strategic Support.
• Undertake additional assignments as directed by management or executive committees.
• Support special projects aligned with business strategy and corporate priorities.
• Minimum of 3-5 years of experience in data analysis, with demonstrated experience collaborating closely with business functions.
• Proficiency in data analysis tools, including SQL and data visualization platforms (e.g., Tableau, Power BI); knowledge of Python is considered an advantage.
• Strong foundational skills in Microsoft Excel, with the ability to manage and analyze data effectively.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

ทักษะ:

Legal, Branding, SQL

ประเภทงาน:

งานประจำ

• Define and co-own account plans to unlock investments and drive client s business objectives.
• Be a strong consultant to agencies and brands though full-funnel digital media offerings and e-commerce.
• Create persuasive sales presentations using market trends, case studies and product collateral.
• Retain and grow revenue from advertisers; exceed quarterly sales goals.
• Build and sustain trusted client relationships with agencies and brands, delivering the highest standard of consultancy and service.
• Roll out training and enablement programs, and aid in agency certification program.
• Mobilize cross-functional support around client opportunities and challenges.
• Collaborate with internal teams globally and regionally across product, marketing, legal, engineering and sales to structure and execute operational and strategic initiatives.
• Brainstorm, identify, and implement advertising solutions on TikTok products to deliver measurable results for clients.
• Identify relevant trends and opportunities to craft business cases in support of any new products and/or solutions.
• Ensure smooth operations for campaigns from start to finish by working closely with different cross functional team members.
• 5+ years of experience in ad tech sales, digital media planning, or strategy roles.
• Strong understanding of digital media platforms, ad tech ecosystems, and measurement for branding and performance campaigns.
• Proven ability to consistently meet and exceed sales targets.
• Experience working effectively with cross-functional teams in a fast-paced environment.
• Excellent presentation and communication skills, with the ability to influence senior stakeholders.
• Analytical mindset with the ability to interpret data and translate insights into business impact.
• Demonstrated understanding of global network agency structures, and agency group hierarchies.
• Experience working with agency trading teams, including understanding how trading functions influence media investment decisions and budget allocation across agency groups is strongly preferred.
• Understanding of budget shift mechanics across platforms, channels, or campaign types including advising clients on reallocation strategies to maximize ROI is preferred.
• Proficiency with SQL, data visualization tools (e.g., Power BI, Tableau), or database pipelines is a plus.
• Self-starter with a fast-learning, can-do attitude.
• Ambitious and resilient, with a strong desire to grow and develop within TikTok.

ทักษะ:

Branding, SQL, Power BI

ประเภทงาน:

งานประจำ

• Define and execute strategies to expand TikTok s share of revenue and partnership opportunities with independent agencies in Thailand and cross-border markets.
• Build and strengthen C-level relationships within agency networks, positioning TikTok as a priority partner.
• Develop and manage agency account plans in partnership with agency teams to drive investment and deliver business KPIs.
• Lead cross-functional collaboration with product, operations, and strategy teams to deliver scalable and innovative solutions.
• Design annual and quarterly business plans, synthesizing market insights, agency analysis, and industry trends to guide growth strategy.
• Influence agency executives and day-to-day stakeholders to drive alignment and deliver on partnership goals.
• Champion performance, branding, commerce, and retargeting solutions to help agencies leverage TikTok s ad tech ecosystem and creative capabilities.
• Provide accurate forecasting, business analysis, and reporting to support planning and performance tracking.
• Craft compelling sales narratives and case studies that highlight TikTok s value proposition and market leadership.
• Execute both scaled engagement programs and targeted initiatives to deepen agency partnerships.
• Consistently achieve and exceed sales and growth targets for self and team.
• Anticipate market trends, identify new opportunities, and build business cases to influence product roadmaps and commercial strategies.
• 5 years of experience in ad tech sales, digital media, or strategy roles, with strong exposure to agency partnerships.
• Proven success managing independent agencies and advertisers with complex scaling challenges.
• Strong knowledge of digital media platforms, ad tech ecosystems, and measurement methodologies for branding and performance campaigns with a track record of consistently meeting or exceeding sales and revenue targets.
• Experience leading cross-functional initiatives and people management in fast-paced environments.
• Exceptional presentation, communication, and stakeholder management skills.
• Analytical mindset with the ability to translate insights into business impact.
• Preferred Qualification(s).
• Established relationships with agency and brand leadership in Thailand and across SEA.
• Strong expertise in driving both brand and performance outcomes through integrated media and creative solutions.
• Experience in e-commerce and commerce-driven media strategies.
• Proficiency in SQL, Power BI, Tableau, or other data visualization/analysis tools.
• Skilled storyteller with the ability to inspire partners and communicate complex solutions simply.

ทักษะ:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• 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..

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Compliance, Research, Python

ประเภทงาน:

งานประจำ

• Build and Optimize Modern AI Applications: Design and deploy a range of LLM-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines, natural-language data querying, tool-using and function-calling workflows, and other Generative AI applications, to deliver accurate, grounded, and citable responses..
• Develop Statistical and Machine Learning Models: Develop, deploy, and maintain traditional statistical models and machine learning algorithms (e.g., regression, classification, clustering) to solve structured data problems and complement broader AI ini ...
• Collaborate with the Data Team: Work together on data preprocessing, embedding generation, and pipeline integration, leveraging the AWS enterprise data platform to supply clean, well-governed data for AI workloads..
• Optimize and Harden Production Services: Improve production AI services for reliability, scalability, latency, and cost, document solutions clearly, and communicate outcomes to both technical and non-technical stakeholders..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Bachelor s Degree or higher in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or related technical field.
• 1 to 4 years of hands-on experience in AI/ML development, or an equivalent record of strong personal projects, research, or internships building applied AI/LLM solutions.
• Programming: Strong proficiency in Python for building AI/ML applications, including working with LLM APIs/SDKs and common AI libraries, as well as practical experience in data manipulation (e.g., using Pandas or SQL to clean and prepare data)..
• LLM Development: Hands-on experience building LLM-powered applications, including prompt design, tool/function calling, and connecting models to external data and tools..
• Retrieval & Vector Databases: Familiarity with vector databases, embedding models, and chunking/retrieval strategies (such as semantic chunking, hybrid search, and reranking)..
• Statistical Modeling & Machine Learning: Solid foundation in applied statistics, probability, and classical machine learning techniques. Proven ability to evaluate trade-offs and select the optimal modeling approach for specific business objectives..
• Cloud Computing: Experience with cloud platforms. AWS is the primary ecosystem for deploying and serving AI workloads, while familiarity with GCP or Azure is a welcome advantage..
• Engineering & LLMOps: Familiarity with version control (Git) and an awareness of general MLOps/LLMOps concepts (such as basic model testing, tracking performance, or managing prompts)..

ทักษะ:

Oracle, Software Development, Risk Management

ประเภทงาน:

งานประจำ

• Collaborate with counterpart business stakeholders / users in identifying / acquiring / finalizing requirements and conceptual solutions to support new/change of business requirements including workshop facilitation.
• Producing essential documentations to record business requirements, data requirements, functional specification hence subsequent teams can design solutions to acquire data from related source systems and feed into applications that work with existing solution.
• Experience in implementing Oracle FAH or GL module will be great advantage.
• Must have experience in Banking or financial sector.
• For the scope of work.
• Work closely with business stakeholders /users in requirement gathering, Fit/Gap Analysis and translate into essential documents along with each Software Development Life Cycle (SDLC) phases.
• Work closely with system analyst to perform technical analysis and provide suitable solutions based on existing system functionalities with respect to the new/change of business.
• Compose / Review the functional designs together with system analyst to ensure that all business requirements have been captured and reflected onto the solution design.
• Collaborate with UAT team to define test cases, scenarios, and data sets for validating the functionality. Participate in testing activities and assist in resolving any issues or defects identified.
• Hand-on execution is required in term of data profiling and application configuration.
• Take ownership of assigned Financial and Risk functionalities, and be able to support business teams as a subject matter expert.
• Business analyst is expected to act as a project manager (or assistant project manager), and be able to conduct / manage small size projects with following responsibilities.
• Apply now if you have these advantages.
• Bachelor or Higher qualifications within a relevant field (Computer Science, Computer Engineer, Finance, etc.).
• At least 7-8 years as Business Analyst in banking industry.
• Experience in Banking, Financial Services and Risk Management Domain.
• Following knowledge or hand-on experience is preferred and added advantage Accounting Rule Engine, GL (or other parallel products) implementation and configuration covering any FAH, AHCS, or EPM (GL, HFM, Recon) modules.
• Good understanding of database concepts and hand-on experience in large data inquiries.
• Software Development Life Cycle (SDLC).
• Able to use 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 minimum per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• Please note that we will get in touch with shortlisted candidates only..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINKEDIN: Krungsri.
• 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).
• 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..
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ..

ทักษะ:

eCommerce, Market Research, Research, English

ประเภทงาน:

งานประจำ

• Dissemble goals, formulate budget plans, and transforming goals into executable plans;.
• Formulate the go-to-market, seller/brand growth and merchandise strategy for local market; evaluate and evolve the strategy to meet business needs;.
• Build and monitor the operational index, and work closely with the data team to optimize the data products;.
• Strong ability to identify risks and streamline business efficiencies.
• Understanding e-commerce or live broadcast field is a plus;.
• Implement and manage important merchant strategies;.
• Combining business analytics, data mining, and data visualization, to help organizations to make more data-driven decisions.
• Provide business, insight and trend analysis to improve overall category performance.
• Capable to produce regular reporting and monitoring dashboards, and respond to ad-hoc data needs.
• Support project managers, product, and category teams to work on different initiatives, and make decisions based on number.
• Minimum Bachelor's Degree or above.
• 2-5 years of experience in ecommerce platform, consulting firm or internet strategy, industry or market research and business analytics with eCommerce relevant experience.
• Strong analytic, logical and problem solving skills with good attention to detail.
• Big picture thinking, structured, organized, and experienced in managing projects in different scales (planning, root cause identification, risk mitigation, and process optimization).
• High level of proficiency in English and Thai.
• Adaptable, fast learner, highly motivated, and versatile player with some exposure in ops and commercial.
• Adaptable, fast learner, highly motivated, and versatile player with some exposure in ops and commercial.
• Familiar with SQL.

ทักษะ:

CAD, SketchUp, Power BI

ประเภทงาน:

งานประจำ

• เก็บและวิเคราะห์ข้อมูลยอดขาย / การดูดซับบ้าน (Absorption Rate) รายเดือน.
• คำนวณและปรับ Target Stock, Safety Stock, และ Inventory Turnover Rate.
• ตรวจสอบและรายงาน Stock Availability Rate ของแต่ละโครงการ.
• ทำ Dashboard สรุปสถานะบ้านคงเหลือ, ยอดขาย, และอัตราหมุนเวียน.
• ประสานงานกับฝ่ายก่อสร้าง, ฝ่ายขาย, และฝ่ายวางแผน เพื่อปรับปริมาณการผลิต/ก่อสร้างให้เหมาะสม.
• ถอดแบบประมาณราคา.
• บริหารและจัดการต้นทุนโครงการ.
• มีประสบการณ์ 2-5 ปี ด้านใดด้านมากกว่า 1 ด้าน.
• Inventory Control / Planning.
• Supply Chain / Demand Planning.
• Cost Estimate.
• Property Management / Real Estate Development.
• ปริญญาตรี สาขา วิศวกรรมโยธา, เศรษฐศาสตร์, การจัดการอุตสาหกรรม หรือ อสังหาริมทรัพย์.
• ปริญญาโท (หากมี) ในด้าน Construction Management หรือ Supply Chain Management หรือ Real Estate Development จะได้รับการพิจารณาเป็นพิเศษ.
• Skills.
• Microsoft Excel / PowerPoint.
• Auto CAD / Sketchup.
• Microsoft Power Query / Pivot Table / Lookup / Data Visualization.
• Power BI / Tableau.
• พื้นฐาน Data Analytics (เช่น Python, SQL, Google Data Studio, Automation (หากมี).
• ฝ่ายทรัพยากรบุคคล.
• บริษัท เอสซี แอสเสท คอร์ปอเรชั่น จำกัด (มหาชน)อาคารชินวัตร ทาวเวอร์ 3 ชั้น 10
• เลขที่ 1010 ถนนวิภาวดี - รังสิต
• แขวงจตุจักร เขตจตุจักร กรุงเทพฯ 10900
• โทรศัพท์ 02------544.
• Website: www.scasset.com.

ทักษะ:

Full Stack, Vue.js, node.js

ประเภทงาน:

งานประจำ

• Design and develop scalable, high-performance web applications and backend services.
• Translate business requirements into technical solutions and system designs.
• Define system architecture, technical specifications, and integration approaches.
• Conduct impact analysis and propose optimal technical solutions considering scalability, security, and maintainability.
• Review code and provide technical guidance to junior developers.
• Ensure adherence to coding standards, best practices, and security guidelines.
• Requirement Analysis & Stakeholder CollaborationCollaborate with business users and stakeholders to gather and clarify requirements.
• Analyze and convert functional requirements into detailed technical specifications.
• Provide technical consultation regarding feasibility, constraints, and alternative approaches.
• Participate in solution discussions and present technical proposals to stakeholders.
• Development & ImplementationDevelop frontend applications using modern JavaScript frameworks (e.g., React, Vue.js).
• Build and maintain backend services using Node.js.
• Design and optimize database structures and write efficient SQL queries.
• Implement RESTful APIs and microservices-based solutions.
• Ensure application performance, responsiveness, and reliability.
• DevOps & Quality AssuranceBuild, enhance, and maintain CI/CD pipelines for web application deployment.
• Manage source code using Git and follow branching strategies.
• Support testing activities including unit testing and integration testing.
• Troubleshoot and resolve complex technical issues in development and production environments.
• Continuous ImprovementIdentify opportunities to improve system architecture and development processes.
• Stay up to date with emerging technologies and industry best practices.
• Contribute to knowledge sharing and technical capability development within the team.
• QualificationsBachelor s degree or higher in Computer Science, Computer Engineering, Information Technology, or a related field.
• 5-10 years of experience in application development.
• Strong experience in web frontend technologies including JavaScript, TypeScript, HTML5, CSS, and Web Components.
• Experience in backend service development using Node.js.
• Hands-on experience with at least one modern JavaScript framework (e.g., React or Vue.js).
• Solid understanding of microservices architecture and API-based system design.
• Experience working with both SQL and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB) and ability to write efficient SQL queries.
• Experience in building or maintaining CI/CD workflows for web application projects.
• Proficiency in using Git as a source code version control system.
• Good knowledge of online security practices and protocols (e.g., Authentication/Authorization, OAuth, JWT, HTTPS, secure coding practices).
• Experience collaborating with business users to gather requirements and translate business needs into technical solutions.
• Experience in solution design, technical documentation, and impact analysis for complex systems.

ทักษะ:

Statistics, Big Data, Python

ประเภทงาน:

งานประจำ

• 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).

ทักษะ:

Excel, Power BI, Statistics

ประเภทงาน:

ฝึกงาน

• we encourage you to apply early.
• Analyze business, media, and e-commerce performance data to extract insights across all products, providing support for strategic decision-making reviews & reporting.
• Utilize fundamental tools such as Excel, as well as business intelligence platforms like Looker Studio, and Power BI, to create and maintain data dashboards and reports.
• Collaborate with cross-functional teams, including media and e-commerce departments, to identify data requirements and regularly deliver performance analysis results.
• Identify repetitive and manual data tasks, drive process automation, and optimize data processing workflows.
• Conduct data quality checks to ensure consistency and accuracy in reporting.
• Build and maintain scalable, user-friendly data tools and templates (such as reports, trackers, evaluation benchmarks, etc.) to empower the team to respond efficiently to client needs.
• Co-drive strategic project(s) that lead to business impact.
• Currently pursuing an Undergraduate/Master in business, data science, economics, statistics, engineering, or a related field.
• Experience or strong interest in data visualization tools (Looker Studio, Tableau, Power BI, etc.).
• Eager to learn and comfortable working with large data sets and multiple stakeholders.
• Self-starter with a proactive attitude and the ability to manage multiple tasks simultaneously.
• Preferred Qualification(s).
• Strong analytical skills and proficiency in Excel/Sheets; familiarity with SQL, Python, or other scripting languages is a plus.
• Interest in media, e-commerce, or digital platforms is a bonus.
• 6 month commitment.
• If you have any questions, please reach out to us at [email protected].

ประเภทงาน:

งานประจำ

• 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.

ประเภทงาน:

งานประจำ

• 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.