เงื่อนไขการค้นหา

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).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Compliance, Accounting, Statistics

ประเภทงาน:

งานประจำ

• Market Consistent Embedded Value (MCEV).
• New Business Value (NBV).
• Statutory Reserves.
• IFRS Reserves.
• Risk-Based Capital (RBC).
• Management and performance reporting.
• You'll ensure valuation results are accurate, insightful, and delivered in accordance with internal governance and regulatory requirements.[JD-2025-29.(MCEV-NBV) | PDF]
• Generate Insights That Drive Business DecisionsAnalyse financial performance and emerging business trends.
• Explain key drivers behind profitability and value creation.
• Support strategic initiatives through actuarial analyses and business recommendations.
• Partner with stakeholders to provide data-driven insights that support sustainable growth.
• Develop and Enhance Actuarial ModelsMaintain and improve actuarial valuation models and reporting tools.
• Assess and quantify financial impacts from model enhancements.
• Conduct testing, validation, and implementation of methodology changes.
• Work closely with local and regional teams on model governance and improvements.
• Support Business Planning and ForecastingBuild financial projections and long-term business forecasts.
• Support three-year planning exercises and strategic dialogues.
• Perform sensitivity and scenario analyses to help management evaluate opportunities and risks.
• Contribute to planning submissions for regional and Group stakeholders.
• Perform Experience Studies and Assumption ReviewsAnalyse emerging experience across mortality, persistency, expenses, and other key assumptions.
• Support annual assumption reviews and recommendation processes.
• Contribute to maintaining robust actuarial assumptions that reflect business realities and market conditions.
• Regulatory and Industry ReportingPrepare and review actuarial reports submitted to regulators and industry associations.
• Ensure compliance with regulatory, accounting, and Group reporting requirements.
• Maintain the highest standards of accuracy, governance, and professionalism.
• What We're Looking For
• QualificationsBachelor's or Master's degree in actuarial science, Mathematics, Statistics, Economics, Finance, or a related quantitative discipline.
• Progress in actuarial professional examinations (SOA, IFoA, or equivalent) is highly preferred.
• ExperienceMin. 5 years of experience in Life Insurance actuarial functions.
• Valuation.
• Financial Reporting.
• Embedded Value (EV/MCEV).
• New Business Value (NBV).
• IFRS Reporting.
• Capital Management.
• Experience Studies.
• Actuarial Modelling.
• Technical SkillsStrong analytical and problem-solving abilities.
• Excellent Excel skills and actuarial modelling capability.
• Experience with Prophet or other actuarial systems is a plus.
• Programming knowledge such as SQL, Python, R, or VBA is advantageous.
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Any AI-future skills e.g., ChatGPT, or CoPilot365, will be advantage.
• Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural Internal background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
• Join us. Let's care for tomorrow.

ทักษะ:

SQL, Statistics, Digital Marketing

ประเภทงาน:

งานประจำ

• Advanced SQL Query Development and Data Validation.
• Campaign Execution & End-to-End Campaign Management.
• Customer Segmentation & Target Customer Selection.
• Data Analysis & Insight Generation.
• Stakeholder Management & Cross-Functional Coordination.
• Presentation and Storytelling Skills.
• Project Management and Prioritization.
• Quality Control and Attention to Detail.
• Bachelor s degree or master s degree in finance, Business Administration, Marketing, Computer Science, Information Systems, Statistics, Data Analytics, or related fields.
• Minimum 1-2 years of experience in Campaign Management, Campaign Execution, CRM, Database Marketing, Customer Analytics, or related fields.
• Strong SQL skills are mandatory with the ability to extract, manipulate, validate, and analyze customer data independently.
• Experience in banking, financial services, lending products, retail banking, or digital marketing campaigns is highly preferred.
• Strong analytical and problem-solving skills with the ability to translate business requirements into campaign execution plans.
• Detail-oriented with strong project coordination and execution capabilities.
• Ability to manage multiple campaigns and priorities under tight timelines.
• Good written and verbal communication skills with the ability to collaborate effectively across business and technical teams.
• Ability to work independently and proactively drives campaign delivery from requirement gathering through post-campaign analysis.
• Preferred Qualifications.
• Experience in Campaign Management, Campaign Execution, Marketing Automation, CRM, or Database Marketing.
• Experience working with large customer databases and customer segmentation methodologies.
• Knowledge of banking products, customer portfolio management, and campaign performance measurement is a plus.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Statistics / Analysis

ประเภทงาน:

งานประจำ

• อายุไม่เกิน 40 ปี บริบูรณ์ (นับถึงวันที่ปิดรับสมัคร).
• สามารถวิเคราะห์ข้อมูลทางธุรกิจ (Business Analytics) หรือการจัดทำข้อมูล (Data Engineer) หรือการวิเคราะห์ข้อมูล (Data Scientist / Data Analytics) เกี่ยวกับข้อมูลด้านบุคลากรของสถาบันการเงินหรือองค์กรขนาดใหญ่ และการบริหารจัดการระบบ HRIS ของสถาบันการเงินหรือองค์กรขนาดใหญ่.
• ไม่น้อยกว่า 3 ปี สำหรับผู้จบปริญญาตรี หรือ.
• ไม่น้อยกว่า 2 ปี สำหรับผู้จบปริญญาโท.
• มีความสามารถในกระบวนการแปลงข้อมูลที่ซับซ้อน และการแสดงภาพข้อมูล (Data Visualization) และการเล่าเรื่องด้วยข้อมูล (Data Storytelling) หรือการสื่อสารข้อมูลเชิงลึก (Data Insight)
• ผ่านการใช้งานเครื่องมือ SQL / Python / Power Query / Power BI / Tableau / Data Studio เป็นต้น ได้เป็นอย่างดี.
• มีความรู้ความเข้าใจระบบจัดการฐานข้อมูล (DBMS) หรือสามารถใช้งานฐานข้อมูล SQL Server
• เพื่อการการวิเคราะห์ข้อมูลได้.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม Microsoft Office หรือเทคโนโลยีสารสนเทศ เช่น AI, Machine Learning, n8n, Power Automate เป็นต้น.
• มีทัศนคติเชิงบวก มีความรับผิดชอบสูง ทำงานเป็นทีม มีมนุษสัมพันธ์ดี มีทักษะการสื่อสาร ประสานงานที่ดี และวิเคราะห์ปัญหาได้ดี.
• มีความกระตือรือร้นในการศึกษาหาความรู้ด้านเทคโนโลยีสารสนเทศที่เกี่ยวข้องกับงาน
• และพัฒนาตนเองอยู่ตลอดเวลา.
• หากมีประสบการณ์ในการวิเคราะห์ข้อมูล และการบริหารจัดการระบบ HRIS หรือการพัฒนาระบบงาน HR Dashboard ภายในองค์กรขนาดใหญ่/องค์กรรัฐ/สถาบันการเงิน จะได้รับการพิจารณาเป็นพิเศษ.
• สามารถสมัครได้ที่: https://recruit.ghbank.co.th/sap/bc/webdynpro/sap/hrrcf_a_startpage_ext_cand?sap-client=900&sap-language=TH.
• ทั้งนี้ เปิดรับสมัครถึงวันที่ 27 กรกฎาคม 2569 เท่านั้น.

ทักษะ:

Automation, Statistics, Excel

ประเภทงาน:

งานประจำ

• Prepare and maintain portfolio data, MIS reports, and dashboards.
• Analyze portfolio performance, credit quality, and risk indicators.
• Provide insights to support business and management decisions.
• Improve reporting processes through automation and digital solutions.
• Support data migration, transformation, and system enhancement initiatives.
• Coordinate with stakeholders across Business, Risk, Operations, and IT.
• QualificationsBachelor's degree in IT, Statistics, Finance, Economics, Business, or related fields.
• Minimum 5 years' experience in MIS, Data Analytics, Credit Risk, Portfolio Management, or related areas.
• Banking or financial services experience preferred.
• Strong Excel and reporting skills; SQL knowledge required.
• Experience with Power BI, Tableau, SAS, Python, or similar tools is a plus.
• Understanding of Commercial Banking, Credit Risk, or Lending.
• Strong analytical, communication, and stakeholder management skills.
• Experience in BI, automation, AI, data transformation, or system implementation projects is an advantage.
• Only shortlisted candidates will be contacted.
• (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..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• Linkedin: Krungsri Career.
• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.

ทักษะ:

Automation, Finance, Statistics, English

ประเภทงาน:

งานประจำ

• Prepare, analyze, and present Credit Portfolio and Management Information System (MIS) reports to support management decision-making.
• Coordinate with relevant stakeholders to organize Credit Committee and Credit Portfolio Sub Committee meetings, including preparation of reports and supporting materials.
• Design and improve reporting processes to enhance efficiency, accuracy, and data quality.
• Support data analytics initiatives and provide business insights through portfolio analysis.
• Participate in special assignments and strategic projects, including digitalization, process improvement, automation, and AI-related initiatives.
• Collaborate with Business, Risk, Operations, and other stakeholders on portfolio management activities.
• QualificationsBachelor s degree in Business Administration, Finance, Economics, Information Technology, Statistics, Data Science, or related fields.
• Strong interpersonal and communication skills with the ability to work effectively across functions.
• Experience or strong interest in Data Analytics, AI, Business Intelligence, or Reporting is highly preferred.
• Proficient in Microsoft Office applications, particularly Excel and PowerPoint.
• Good command of English, both written and spoken.
• Eager to learn, proactive, and adaptable to new technologies and ways of working.
• Strong analytical thinking, attention to detail, and problem-solving skills.
• Only shortlisted candidates will be contacted.
• (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..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• Linkedin: Krungsri Career.
• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.

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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Good Communication Skills, Problem Solving, Business Statistics / Analysis, Teamwork, Project Management, Thai, English

ประเภทงาน:

งานประจำ

• Coordinate with internal and external stakeholders for the flawless execution of projects.
• Ensure that all projects are delivered on-time, within its scope and expected result.
• Develop a detailed project plan to monitor and track project performance, specifically to analyze the successful completion of short and long-term goals, and able to see or sense of the preventive problem and proactively prevent it.
• Evaluating the success of the project against its benchmarking and sharing lessons or best practice with other organizations or project managers.
• Balance the relationship with the client and all stakeholders.
• Age 25-35 years old.
• A Bachelor s degree in any field especially in Human Resource, Business management, IT or equivalent.
• A minimum 2-year experience working in coordination field experiences.
• Systematic & creative thinking with ability to plan and solve the problem and be observant.
• Excellent decision-making and leadership capabilities.
• Solid organizational skills including attention to details and multitasking skills.
• Enjoy in design on story creation with photos or VDOs shooting and editing.
• Willing to learn and embrace change constantly.
• Strong interpersonal skills with working knowledge of Microsoft Office.
• Strong verbal and written communications skills are essential especially in Thai, and fair command of English.
• Visit our website at www.pacrimgroup.com for more information regarding our organization..

ทักษะ:

Risk Management, Research, Statistics

ประเภทงาน:

งานประจำ

• Responsibility for managing, and co-ordinating delivery of the ICAAP (Internal Capital Adequacy Assessment Process), including, but not limited to, drafting and setting the annual plan, ensuring all elements take place on a regular basis (monthly) and that it meets current Regulatory requirements.
• Responsible for driving, updating and refreshing the Enterprise Risk Strategy for Krungsri Group s and ensuring that it is aligned with the Business Strategy at all times.
• Own and manage the annual risk Appetite review process, monitoring monthly to ensure that Krungsri Group s remains within stated Risk Appetite, escalating in a timely manner when it is not.
• Develop and regularly review the bank s quantitative risk targets and limits, including nominal and risk-adjusted measures, and ensure that all limit breaches are reported and escalated promptly.
• Responsibility for providing forward-looking analysis of the risk profile by forecasting key capital, financial and risk variables.
• Ensuring compliance with relevant Policies, testing and certifying (or considers and escalates) the adequacy and effectiveness of the business s controls on a regular basis.
• Bachelor s degree or higher in Engineering, Operations research, Statistics, or a related field.
• 0-5 years experience in Risk Management, Credit Risk, or Data Analytics.
• Statistical Data Analysis and Database Management Tools.
• Understanding of risk-related regulation (i.e. Basel, AIRB) and accounting standards (i.e. IFRS) and its application and impact in the Retail and Corporate banking industry.
• Banking knowledge: bank products, bank competitors, credit analysis, portfolio analysis.
• Good knowledge of BOT regulation.
• Only shortlisted candidates will be contacted**.
• (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.
• FB: Krungsri Career.
• LINE: Krungsri Career.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

ทักษะ:

Electronics, Statistics, Excel

ประเภทงาน:

ฝึกงาน

• we encourage you to apply early.
• Support daily platform operations across Fashion, Electronics, and FMCG clusters, ensuring smooth campaign and program execution.
• Update and maintain operational trackers, dashboards, and data files to support category teams and management reporting.
• Monitor seller and brand registration progress for campaigns, flagging gaps and following up with relevant stakeholders to ensure on-time completion.
• Respond to operational questions from internal teams, escalating where needed.
• Pull and consolidate data from internal tools to support performance tracking and post-campaign recaps.
• Support ad-hoc operational tasks, project execution, and process improvements as required.
• Currently pursuing or recently completed a Bachelor's degree in Business, Marketing, Economics, Statistics, or a related field.
• Strong Excel skills, including pivot tables, VLOOKUP/XLOOKUP, and basic formulas.
• Comfortable interacting with multiple stakeholders.
• Detail-oriented with strong follow-through on time-sensitive tasks.
• Quick learner able to pick up data pulling and platform tools after 1-2 walkthroughs.
• Available to commit at least 4-5 days per week for a minimum of 3 months.
• Preferred Qualifications.
• Familiarity with e-commerce, or similar marketplace platforms as a user.
• Genuine interest in e-commerce, digital marketing, or platform business models.
• If you have any questions, please reach out to us at [email protected].

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].

ทักษะ:

Statistics, Multitasking, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์และบูรณาการข้อมูลจากหลากหลายแหล่ง เช่น ข้อมูลลูกค้า ข้อมูลทางการตลาด และข้อมูลคู่แข่ง เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์ในการริเริ่มและพัฒนาโครงการ.
• ประเมินความเป็นไปได้และโอกาสความสำเร็จของโครงการ พร้อมนำเสนอแนวทางในการปรับปรุง ปรับเพิ่ม หรือลดรูปแบบโครงการให้สอดคล้องกับข้อมูลและเป้าหมายทางธุรกิจ.
• ใช้ข้อมูลเชิงลึกในการคาดการณ์ผลลัพธ์ของโครงการ (Performance & Outcome) และจัดทำข้อเสนอแนะเชิงกลยุทธ์สำหรับผู้บริหารและผู้มีส่วนเกี่ยวข้อง.
• ติดตาม วัดผล และประเมินความสำเร็จของโครงการ พร้อมสรุปข้อค้นพบและข้อเสนอแนะเพื่อการพัฒนาอย่างต่อเนื่อง.
• รับผิดชอบการวิเคราะห์และขับเคลื่อนโครงการหลัก Service Champion เพื่อยกระดับคุณภาพการให้บริการของพนักงาน และสร้างประสบการณ์ที่ดีแก่ลูกค้า.
• สำเร็จการศึกษาระดับปริญญาตรีในสาขา Data Science, Statistics, Computer Engineering, Information Technology, Data Management หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานด้าน Data Analytics, Business Intelligence หรือ Data Strategy อย่างน้อย 8-12 ปี.
• มีประสบการณ์ในการบริหารทีมงานด้านข้อมูล หรือการบริหารโครงการด้านกลยุทธ์ข้อมูลอย่างน้อย 3-5 ปี.
• มีประสบการณ์ทางด้านการบริหารยอดขาย และการตลาด (คุณสมบัติจำเป็น).
• มีประสบการณ์ในธุรกิจค้าปลีก ร้านอาหาร ธุรกิจน้ำมัน หรือธุรกิจอาหารและเครื่องดื่ม (F&B) (คุณสมบัติจำเป็น).
• มีทักษะในการทำงานหลายด้านพร้อมกัน (Multitasking) มีภาวะผู้นำ และมีทักษะในการบริหารจัดการทีมที่ดี.
• มีความสามารถในการคิดเชิงกลยุทธ์และเชิงระบบ โดยสามารถเชื่อมโยงการดำเนินงานเข้ากับกลยุทธ์ทางธุรกิจได้อย่างมีประสิทธิภาพ.
• มีความเชี่ยวชาญในการใช้ Power BI รวมถึงเครื่องมือและโปรแกรมด้านการวิเคราะห์ข้อมูลอื่น ๆ ได้เป็นอย่างดี (คุณสมบัติจำเป็น).
• สามารถนำเครื่องมือวิเคราะห์ข้อมูลมาใช้ในการประมวลผล วิเคราะห์ และสรุปผลเชิงลึก เพื่อสนับสนุนการตัดสินใจทางธุรกิจอย่างมีประสิทธิภาพ.
• มีความเข้าใจในการจัดการข้อมูล การสร้างรายงาน และการนำเสนอข้อมูลในรูปแบบที่ชัดเจน เหมาะสมต่อผู้บริหารและผู้มีส่วนเกี่ยวข้อง.
• สามารถทำงานในประเทศไทยได้อย่างถูกต้องตามกฎหมาย.
• สามารถเดินทางไปปฏิบัติงานต่างจังหวัดได้ตามที่ได้รับมอบหมาย.

ทักษะ:

Power BI, Tableau, Finance, English

ประเภทงาน:

งานประจำ

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor s degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Sales, Market Research, Customer Relationship Management (CRM), Thai, English

ประเภทงาน:

งานประจำ

• Identify, develop, and close new business opportunities by offering tailored people development solutions to clients.
• Drive sustainable revenue through client acquisition and expanding existing accounts to meet sales targets.
• Serve as a trusted advisor, managing end-to-end engagements and ensuring the delivery of effective solutions.
• Keep abreast about industry trends, market demands, and emerging people development practices.
• Build and maintain strong relationships with HR leaders, decision-makers, and other key stakeholders to drive revenue growth.
• What experience do I need?.
• 0-8 Years in business analyst, consultative selling, or business development - preferably in a professional service industry.
• Fresh Graduate Welcome.
• What competencies should I have?.
• Strong prospecting skills.
• Exemplary phone manner.
• Consultative sales ability.
• Comfort in selling over the phone to consumers (B2C).
• Exceptional interpersonal and communication skills.
• Ability to network - connections to business communities.
• What are the must haves ?.
• Are fluent in business level of Thai and English.
• Value teamwork and collaboration.
• Potential and/or Interest to become trainer.
• University or College Degree in any relate field.
• What benefits would I receive?.
• Dale Carnegie s extensive training opportunities for personal and professional development.
• Highly global, professional, top quality and fun working environment.
• Breakthroughs for personal and career development.
• What is the compensation plan?.
• Salary structure with bonus program.
• Overrides on individual and team success and year-end bonus package.
• World-class benefits and welfare for all Gens.
• Trainer professional package when become a certified trainer.
• Interested applicants, please apply online at http://www.dalecarnegie.com/careers/ AND send your resume to [email protected]
• Dale Carnegie Thailand.
• 195 One Bangkok Tower 4, 15th Floor, Wireless Road, Lumpini, Pathumwan, Bangkok, 10330, Thailand.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Sales, Market Research, Customer Relationship Management (CRM), Thai, English

ประเภทงาน:

งานประจำ

• Identify, develop, and close new business opportunities by offering tailored people development solutions to clients.
• Drive sustainable revenue through client acquisition and expanding existing accounts to meet sales targets.
• Serve as a trusted advisor, managing end-to-end engagements and ensuring the delivery of effective solutions.
• Keep abreast about industry trends, market demands, and emerging people development practices.
• Build and maintain strong relationships with HR leaders, decision-makers, and other key stakeholders to drive revenue growth.
• What experience do I need?.
• 0-8 Years in business analyst, consultative selling, or business development - preferably in a professional service industry.
• Fresh Graduate Welcome.
• What competencies should I have?.
• Strong prospecting skills.
• Exemplary phone manner.
• Consultative sales ability.
• Comfort in selling over the phone to consumers (B2C).
• Exceptional interpersonal and communication skills.
• Ability to network - connections to business communities.
• What are the must haves ?.
• Are fluent in business level of Thai and English.
• Value teamwork and collaboration.
• Potential and/or Interest to become trainer.
• University or College Degree in any relate field.
• What benefits would I receive?.
• Dale Carnegie s extensive training opportunities for personal and professional development.
• Highly global, professional, top quality and fun working environment.
• Breakthroughs for personal and career development.
• What is the compensation plan?.
• Salary structure with bonus program.
• Overrides on individual and team success and year-end bonus package.
• World-class benefits and welfare for all Gens.
• Trainer professional package when become a certified trainer.
• Interested applicants, please apply online at http://www.dalecarnegie.com/careers/ AND send your resume to [email protected]
• Dale Carnegie Thailand.
• 195 One Bangkok Tower 4, 15th Floor, Wireless Road, Lumpini, Pathumwan, Bangkok, 10330, Thailand.

ทักษะ:

ETL, Big Data

ประเภทงาน:

งานประจำ

• 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!.

ประเภทงาน:

งานประจำ

• New graduates or experience less than 1 years are welcome.
• Bachelor s or Master s degree in Economics, Accounting, Finance, Engineering, Statistics and related field with.
• minimum GPA 3.00.
• interest in financial products, financial advisory, and credit analysis.
• Good communication and presentation skills with confidence in interacting with internal customers.
• Service-minded, proactive, and eager to learn in a fast-paced banking environment.
• Able to communicate in English. (Preferable)..
• Area & Segment: Small Segment-Metropolitan Area.

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)..