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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Problem Solving, Negotiation, Data Entry, SAP, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Job Responsibilities.
- Providing administrative supports for day-to-day financial tasks and activates according to rules and regulations compliance.
- Invoice issuance and cash collection.
- Loan, treasury and investment document management.
- Payment transactions and finance-related data entry to SAP system.
- Supporting in research and calculating data to develop business forecast, budget planning, business plan, risk and litigation analysis.
- Ensuring financial records and reports are kept up-to-date with the latest transactions and changes.
- Ensuring the preparation of operating data is handled effectively.
- Coordinating with Audit Team to conduct finance audit periodically and recommend improvements.
- Developing effective relationships with stakeholders, government institutions and regulatory agencies in a governance compliance manner.
- Job Qualifications.
- Bachelor's degree or higher in Finance, Business Administations or related fields.
- Minimum 2 years' experience in finance operation, credit administration and services, facility or agent service (New graduate who is a high - potential and seeking for job challenging is also welcome).
- Experience in banking or corporate finance function in any companies.
- Experience in power generation, renewable energy, hydropower, gas and infrastructure & utilities would be an advantage.
- Creativity, problem solving skills, negotiation and systematic thinking.
- Fluent in English both written and verbal (Minimum 750 TOEIC score).
- Goal-Oriented, Unity, Learning, Flexible.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Department: Data Commercialization.
- As a data analyst in Infinitas, you would expect a new level of analytical experiences here. Being part of Data Innovation team, your goal is to make data useful for all stakeholders. Under the big umbrella of the leading bank in Thailand, Infinitas leverage the largest financial data sets from both traditional banking and mobile banking services. From customer digital footprint to branch, ATM and call center. We measure every single touch point to improve customer service and business performance. ...
- Job Responsibilities.
- Conduct data inventory research with product owner, business owner and IT BA to gain full understandings of data availability.
- Communicate with business owners to translate business problem/challenge into actionable analytical solution.
- Initiate EDA ideas to tag hidden opportunities for customer, product, channel and other various areas.
- Analyse digital and traditional user journey funnel and customer persona.
- Visualise data for fast decision making and insight interpretation.
- Define customer segmentations for strategy planning and marketing targeting.
- Plan holistic A/B testing campaigns to evaluate data values on business impact.
- Design and fulfill monitoring dashboards and automated reports.
- English as working language.
- Minimum of 3 years data analytics related working experiences.
- At least 1 year of working experience directly communicate to business team.
- Proficient in Python or SQL.
- Advanced hands on experiences with visualization tool.
- Strong communication and analytical thinking skills.
- Good balance of data and business knowledge.
- Fintech or banking industry.
- Internet companies with mobile application.
- 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.
āļāļąāļāļĐāļ°:
Automation, Finance, Statistics, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Project Management, Data Analysis, Electronics, Power BI, Tableau, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Business & Data Analysis.
- Analyze business performance, market trends, and operational data to identify opportunities, risks, and areas for improvement.
- Develop analytical models and business insights to support strategic planning and performance optimization.
- Conduct ad hoc analyses to address business challenges and management requests.
- Dashboard & Performance Reporting.
- Design, develop, and maintain interactive dashboards and automated reports to monitor business KPIs.
- Ensure timely and accurate reporting of online business performance and strategic initiatives.
- Continuously enhance reporting processes to improve efficiency and data visibility.
- Cross-functional Business Partnership.
- Collaborate with Business Units, Online Business, Finance, Operations, and Regional/Headquarters teams to understand business requirements and provide data-driven solutions.
- Support business planning, forecasting, and performance review activities through meaningful analysis.
- Act as a trusted business partner by providing analytical support for key business initiatives.
- Data Management & Governance.
- Ensure data accuracy, consistency, and integrity across reporting systems and databases.
- Perform data validation, cleansing, and quality control to maintain reliable business information.
- Recommend improvements to data management processes and reporting standards.
- Executive Presentation & Strategic Insights.
- Translate complex analytical findings into clear, concise, and actionable recommendations for management.
- Prepare executive reports, presentation materials, and business review documents for management meetings.
- Present key business insights and performance updates to support strategic decision-making.
- Role and Responsibilities.
- Business & Data Analysis.
- Analyze business performance, market trends, and operational data to identify opportunities, risks, and areas for improvement.
- Develop analytical models and business insights to support strategic planning and performance optimization.
- Conduct ad hoc analyses to address business challenges and management requests.
- Dashboard & Performance Reporting.
- Design, develop, and maintain interactive dashboards and automated reports to monitor business KPIs.
- Ensure timely and accurate reporting of online business performance and strategic initiatives.
- Continuously enhance reporting processes to improve efficiency and data visibility.
- Cross-functional Business Partnership.
- Collaborate with Business Units, Online Business, Finance, Operations, and Regional/Headquarters teams to understand business requirements and provide data-driven solutions.
- Support business planning, forecasting, and performance review activities through meaningful analysis.
- Act as a trusted business partner by providing analytical support for key business initiatives.
- Data Management & Governance.
- Ensure data accuracy, consistency, and integrity across reporting systems and databases.
- Perform data validation, cleansing, and quality control to maintain reliable business information.
- Recommend improvements to data management processes and reporting standards.
- Executive Presentation & Strategic Insights.
- Translate complex analytical findings into clear, concise, and actionable recommendations for management.
- Prepare executive reports, presentation materials, and business review documents for management meetings.
- Present key business insights and performance updates to support strategic decision-making.
- Skills and Qualifications.
- Bachelor's degree in Business Administration, Statistics, Economics, Data Analytics, Information Systems, or a related field. A Master's degree is an advantage.
- Minimum 5-7 years of experience in business analysis, commercial analytics, business intelligence, or data analysis, preferably in e-commerce, retail, FMCG, or consumer electronics.
- Strong analytical and problem-solving skills with the ability to interpret complex business data and generate actionable insights.
- Advanced proficiency in Microsoft Excel (PivotTable, Power Query, advanced formulas) and PowerPoint.
- Experience with Power BI, Tableau, SQL, or other Business Intelligence and visualization tools.
- Familiarity with data modeling, dashboard development, and KPI management.
- Strong communication and presentation skills, with the ability to explain technical information to non-technical stakeholders.
- Proven ability to work effectively with cross-functional and regional teams in a fast-paced environment.
- Strong project management, stakeholder management, and organizational skills.
- Good command of written and spoken English.
- Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead end-to-end requirement gathering, analysis, and documentation activities.
- Manage requirements across multiple workstreams, systems, and business domains.
- Drive solution discussions and support business and technical decision-making.
- Ensure requirement traceability, scope control, and impact assessment throughout project lifecycle.
- Stakeholder & Team Management.
- Act as the key liaison between Business, IT, vendors, and project teams.
- Facilitate workshops and alignment discussions with senior stakeholders.
- Lead and mentor Business Analysts to ensure high-quality delivery and best practices.
- Prepare executive-level updates and support steering committee discussions.
- Program & Delivery Oversight.
- Monitor project risks, dependencies, and cross-functional impacts.
- Ensure alignment between business objectives, timelines, and deliverables.
- Support governance, resource planning, and vendor coordination activities.
- Drive process improvement, operational efficiency, and business transformation initiatives.
- Bachelor s or Master s degree in Information Technology, Business Administration, or related fields.
- 8-12+ years of experience in Business Analysis, Project Delivery, or related roles.
- Strong experience in large-scale or complex projects/programs.
- Excellent stakeholder management, communication, and problem-solving skills.
- Proven ability to work effectively across Business and IT teams.
- Experience in banking or financial services industry is preferred.
- Strong leadership and team management capabilities.
- Only shortlisted candidates will be contacted".
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
- Contact: Talent Acquisition Center: 0 2--- ---- #--183.
- 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- 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.
āļāļąāļāļĐāļ°:
Power BI, Tableau, Finance, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļąāļāļĐāļ°:
Automation, Statistics, Excel
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļąāļāļĐāļ°:
Statistics, Big Data, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: Talent Acquisition Center 0-2-----000.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ80,000 - āļŋ120,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bangkok, Thailand (Onsite).
- About the Role.
- Accenture is seeking a Change & Training Analyst - Supply Chain to support a large-scale supply chain transformation program. This role focuses on driving organizational change, stakeholder engagement, training delivery, and user adoption activities to help business teams successfully transition to new processes and technologies.
- You will work closely with business leaders, functional teams, and end users to ensure change initiatives are effectively planned, communicated, and embedded into day-to-day operations.
- Support the development and execution of change management and training strategies for supply chain transformation initiatives.
- Conduct change impact assessments and stakeholder analyses to identify adoption risks and mitigation actions.
- Design, develop, and deliver training materials, user guides, job aids, communications, and end-user learning sessions.
- Facilitate workshops, training sessions, and stakeholder engagement activities to build awareness and readiness for change.
- Collaborate with supply chain, technology, and project teams to align change and training activities with project objectives and timelines.
- Monitor adoption, readiness, and learning effectiveness metrics, providing recommendations for continuous improvement.
- Support the management of change-related issues, risks, and dependencies, escalating concerns when appropriate.
- Contribute to communication planning and execution to ensure consistent and effective messaging across stakeholder groups.
- Bachelor s degree in Supply Chain Management, Business Administration, Human Resources, Organizational Development, or a related discipline.
- Approximately 2-4 years of experience in Change Management, Organizational Change, Learning & Development, Training, or business transformation programs.
- Experience supporting ERP, digital transformation, or business process improvement initiatives.
- Understanding of supply chain processes, including demand planning, inventory management, logistics, procurement, or order fulfillment.
- Strong communication, presentation, facilitation, and stakeholder management skills.
- Ability to work independently while collaborating effectively within cross-functional teams.
- Professional proficiency in Thai and good working proficiency in English, as the role involves regular communication with local and regional stakeholders.
- Preferred Qualifications.
- Experience supporting SAP S/4HANA or other ERP implementation programs.
- Knowledge of change management methodologies, frameworks, and best practices.
- Experience creating instructor-led training, e-learning content, and end-user documentation.
- Familiarity with change readiness assessments, adoption tracking, and stakeholder engagement planning.
- Relevant certifications in Change Management, Learning & Development, or Project Management are advantageous.
- We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
- We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
- At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces .
- Join Accenture to work at the heart of change. Visit us at www.accenture.com.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Mechanical Engineering, Electronics, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ30,000 - āļŋ50,000, āļĄāļĩāļāđāļēāļāļāļĄāļĄāļīāļāļāļąāđāļ
- FIXMAN Auto Service: āļāļĢāļīāļĐāļąāļāļāļāļāđāļĢāļē āļĄāļĩāļāļąāđāļāļŦāļĄāļ 2 āļŠāļēāļāļē (āļāļ§āļĄāļīāļāļāļĢāđ / āļāļēāļāļāļāļēāļ āļīāđāļĐāļ)
- āļāđāļāļĄāđāļāļĢāļ·āđāļāļāļĒāļāļāđ,āļāđāļāļĄāļĢāļ°āļāļāđāļāļĩāļĒāļĢāđ, āļāđāļāļĄāļāđāļ§āļāļĨāđāļēāļ,āļāđāļāļĄāđāļāļĢāļ, āļāđāļāļĄāļĢāļ°āļāļāđāļāļĢāđ,āļāđāļāļĄāļāļģāļĢāļļāļāđāļĨāļ°āļāļĢāļ§āļāđāļāđāļāļŠāļ āļēāļāļāļąāđāļ§āđāļ.
- āļĢāļąāļāļāļīāļāļāļāļāđāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļ āļāļĢāļ°āđāļĄāļīāļ āđāļĨāļ°āļāļāļļāļĄāļąāļāļīāļĢāļēāļāļēāļāđāļēāļāđāļāļĄāļĢāļāļĒāļāļāđ āļĢāļ§āļĄāļāļķāļāļāđāļēāļāļ°āđāļŦāļĨāđāļāļĩāđāļāļđāđāļŦāļĢāļ·āļāļĻāļđāļāļĒāđāļāļĢāļīāļāļēāļĢāđāļŠāļāļāđāļāđāļēāļĄāļē āđāļāļĒāđāļāđāļāļ§āļēāļĄāļĢāļđāđāļāļēāļāđāļāļāļāļīāļāļāđāļēāļāļĒāļāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāļŠāļĄāđāļŦāļāļļāļŠāļĄāļāļĨ āđāļāļ·āđāļāđāļŦāđāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāđāļāļĄāđāļāđāļāđāļāļāļēāļĄāļĄāļēāļāļĢāļāļēāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļāļāļĢāļ°āļāļģ (Full-time) āļāļģāļāļēāļāđāļāļāļāļāļāļīāļĻ.
- āļ§āļąāļāđāļĨāļ°āđāļ§āļĨāļēāļāļģāļāļēāļ: āļāļąāļāļāļĢāđ - āđāļŠāļēāļĢāđ (8:30 - 17:30 āļ).
- āļāļĢāļ§āļāļŠāļāļāđāļāļāļŠāļēāļĢ āļĢāļēāļĒāļāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāļĒāļŦāļēāļĒ āđāļĨāļ°āļĢāļđāļāļāđāļēāļĒāļāļĩāđāļŠāđāļāļĄāļēāļāļēāļāļāļđāđ/āļĻāļđāļāļĒāđāļāđāļāļĄāļĢāļāļĒāļāļāđ.
- āļāļĢāļ°āđāļĄāļīāļāđāļĨāļ°āļāļāļļāļĄāļąāļāļīāļĢāļēāļāļēāļāđāļēāđāļĢāļāđāļāļāļēāļĢāļāđāļāļĄ āđāļĨāļ°āļĢāļēāļāļēāļāļ°āđāļŦāļĨāđāđāļŦāđāļāļđāļāļāđāļāļāļāļēāļĄāļĄāļēāļāļĢāļāļēāļāđāļĨāļ°āđāļāļ·āđāļāļāđāļāļāļĢāļĄāļāļĢāļĢāļĄāđ.
- āđāļāļĢāļāļēāļāđāļāļĢāļāļāļĢāļēāļāļēāļāđāļēāļāđāļāļĄāļāļąāļāļāļđāđāļāļđāđāļŠāļąāļāļāļē āļŦāļĢāļ·āļāļĻāļđāļāļĒāđāļāļĢāļīāļāļēāļĢ āđāļāļ·āđāļāđāļŦāđāđāļāđāļāđāļāļŠāļĢāļļāļāļāļĩāđāļĒāļļāļāļīāļāļĢāļĢāļĄāļāļąāđāļāļŠāļāļāļāđāļēāļĒ.
- āļāļĢāļ§āļāļŠāļāļāđāļĨāļ°āļāļ§āļāļāļļāļĄāđāļĄāđāđāļŦāđāđāļāļīāļāļāļēāļĢāđāļāļĨāļĄāļāļĩāđāđāļāļīāļāļāļĢāļīāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļļāļāļĢāļīāļāđāļāļāļąāđāļāļāļāļāļāļēāļĢāļāđāļāļĄ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāđāļēāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļĨāļ°āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāļāđāļēāļāđāļāļāļāļīāļāļāđāļēāļāļĒāļāļāđāđāļāđāļĨāļđāļāļāđāļē.
- āđāļāļĻ āļāļēāļĒ/āļŦāļāļīāļ āļāļēāļĒāļļ 30 - 45 āļāļĩ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļāļ§āļ., āļāļ§āļŠ. āļŦāļĢāļ·āļ āļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāļāđāļēāļāļĒāļāļāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĒāļīāļāļāļĩāļĢāļąāļāļāļīāļāļēāļĢāļāļēāļāđāļēāļāļĒāļāļāđāļāļēāļāļāļđāđ/āļĻāļđāļāļĒāđāļāļĢāļīāļāļēāļĢ āļāļĩāđāļāļĒāļēāļāļĒāđāļēāļĒāļŠāļēāļĒāļāļēāļāļĄāļēāļāļģāļāļāļāļāļīāļĻ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļģāđāļŦāļāđāļāļāļļāļĄāļĢāļēāļāļēāļāļāļāļāļĢāļīāļĐāļąāļāļāļĢāļ°āļāļąāļāļ āļąāļĒ āļŦāļĢāļ·āļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļĢāļēāļāļēāđāļāļĨāļĄāđāļāļāļđāđāļāđāļāļĄāļĢāļ.
- (āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļĢāļ·āđāļāļāđāļāļĢāļāļŠāļĢāđāļēāļāļĢāļāļĒāļāļāđ āļāļ°āđāļŦāļĨāđāļĢāļāļĒāļāļāđ āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāļĢāļāļēāļāđāļāļĢāļāļ āļĄāļĩāđāļŦāļ§āļāļĢāļīāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļ§āļāļāļļāļĄāļāļēāļĢāļĄāļāđāđāļāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļ·āđāļāļāļēāļāđāļāđ.
- āđāļāļīāļāđāļāļ·āļāļāļāļĢāļ°āļāļģ: 30,000-50,0000 āļāļēāļ (āļāļķāđāļāļāļĒāļđāđāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ).
- INCENTIVE āđāļāļĩāđāļĒāļāļĒāļąāļ.
- COMMISSION.
- āļĒāļđāļāļīāļāļāļĢāđāļĄ.
- BONUS āļāļĢāļ°āļāļģāļāļĩ (āļāļēāļĄāļāļĨāļāļĢāļ°āļāļāļāļāļēāļĢāļāļĢāļīāļĐāļąāļ).
- āļāļĢāļ°āļāļąāļāļāļĨāļļāđāļĄ / āļāļĢāļ°āļāļąāļāļŠāļąāļāļāļĄ.
- āļ§āļąāļāļŦāļĒāļļāļāļāļąāļāļāđāļāļāļāļĢāļ°āļāļģāļāļĩ..
āļāļąāļāļĐāļ°:
Teamwork
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļŠāļēāļāļēāļāļīāļāļīāļĻāļēāļŠāļāļĢāđ āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļāļāđāļēāļāļāļāļŦāļĄāļēāļĒ āļāļĒāđāļēāļāļāđāļāļĒ 1-3 āļāļĩ (āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāđāļāļāļāļŦāļĄāļēāļĒāļāļĢāļ°āļāļāļāļāđāļāđāļāđāļāļāļĢāļīāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļĨāļ°āļŠāļēāļĄāļēāļĢāļ āđāļāđāļāļąāļāļĐāļ°āļāļēāļāļāđāļēāļāļāļāļŦāļĄāļēāļĒāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāļāļāļŦāļĄāļēāļĒāđāļĨāļ°āļāļāđāļāļāļāđ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāđāļāļĩāļĒāļāļāļąāļāļāļķāļ āļŦāļāļąāļāļŠāļ·āļāļāļāļāļāđāļāļŦāļēāļĢāļ·āļ āļŦāļāļąāļāļŠāļ·āļāļāļĩāđāđāļāļ āđāļĨāļ°āļŦāļāļąāļāļŠāļ·āļāđāļāđāļāļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āļāļēāļĢāļāđāļēāđāļŠāļāļ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāđāļāļŠāļ āļēāļ§āļ°āļāļāļāļąāļāļŦāļĢāļ·āļāļŠāļāļēāļāļāļēāļĢāļāđāđāļĢāđāļāļāđāļ§āļāđāļāđ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāđāļāđāļ Teamwork āđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāđāļēāļ āđ āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ āļĄāļĩāļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āđāļāđāđāļāļāđāļāđāļĨāļĒāļĩāļāđāļēāļ āđ āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ āđāļĨāļ°āļāļģāļāļēāļāđāļāļāļŠāļēāļĢāđāļāđāļāļĒāđāļēāļāđāļāđāļāļĢāļ°āļāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļąāļ āļāļđāļ āļāđāļēāļ āđāļāļĩāļĒāļ āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐ.
- āļŠāļāļāļāļēāļĄāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ: āđāļāļĢ. 06-------451 (āļāļļāļāļāļīāļāļēāļ āļąāļāļĢ).
- āļāđāļēāļāđāļāđāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ.
āļāļąāļāļĐāļ°:
Quality Assurance, Assurance, Data Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Quality Assurance & Auditing: Conduct regular analytical audits of human moderation, ensuring all processes comply with data protection and Trust & Safety standards while maintaining specific audit targets (e.g., Accuracy, RCA, and Appeal success rates).
- Data Analysis & RCA: Perform deep-dives into recurring quality issues through Root Cause Analysis (RCA), spot error patterns, and translate data into actionable feedback for Operational Guidelines & Standards and Operations Teams to drive continuous pr ...
- Policy Interpretation & Curation: Act as an authority to provide expert judgment on complex, ambiguous, or high-risk cases under quality methodologies and processes (like KOM).
- Deeply interpret safety guidelines and validate "golden sets" (benchmark data) to guide enforcement accuracy.
- Calibration & Collaboration: Lead calibration sessions to ensure consistency across different moderation teams.
- Partner with cross-functional stakeholders (BPO Partners, PPS, PS, and OGS teams) to simplify complex policy explanations and drive global quality goals.
- Operational Oversight & Escalation: Manage and resolve unprecedented "edge cases" with speed and accuracy.
- Drive policy cascading to ensure new policies & operational guidelines updates are 100% communicated and implemented across all relevant internal and external partners.
- Technical Reporting & AI Utilization: Leverage AI to improve performance and reduce manual, repetitive tasks.
- Utilize QA dashboards, RCA tools, and calibration platforms to prepare comprehensive weekly and monthly reports focusing on market accuracy, error trends, and policy gaps.
- Training & Policy Cascade: Lead or support training rollouts for new policy changes and operational guideline updates, especially for BPO staff, ensuring changes are clearly understood, operationalized, and consistently applied.
- This is estimated to take up around 20% of total monthly output deliverables.
- This role requires commitment to work shifts, weekends, and public holidays as operational needs demand.
- Minimum Qualification(s) 1. Quality Assurance Experience: Min 1 year of proven expertise in conducting analytical audits, tracking performance targets, and maintaining data integrity within a trust and safety, compliance, or high-volume operational environment. 2. Problem-Solving Skills and Ownership: Strong capability in conducting Root Cause Analysis (RCA), identifying trend patterns, and suggesting process optimizations that reduce error rates while maintaining high-speed moderation.
- High level of self-motivation with the ability to operate independently, demonstrate end-to-end ownership, and thrive in a fast-paced, ambiguous environment. 3. Policy Interpretation & Judgment: Deep understanding of content policies and SOPs, with the critical thinking skills required to make expert judgments on complex or high-risk escalation cases. 4. Cross-Functional Communication: Excellent stakeholder management skills with the ability to lead calibration sessions, deliver training, and partner with BPO and internal teams to align on global quality goals.
- Technical & Reporting Proficiency: Fluency in data visualization, reporting, and utilizing QA/calibration tools. Ability to leverage Artificial Intelligence (AI) to streamline workflows and provide actionable feedback on system functionality. 6. Fluency in Thai is required for interacting with local content and stakeholders, plus fluency in English as the primary working language.
- Preferred Qualification(s) 1. Experience working in fast-paced, high-volume operational environments 2. Strong attention to detail with ability to follow structured frameworks and guidelines.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Data Analysis, Database Development, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ80,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļŠāļēāļĄāļēāļĢāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļāļāđāļāļāļĢāļ°āļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļĨāļđāļāļāđāļēāđāļāļāļēāļĢāļāļąāļāļāļēāđāļĨāļ°āđāļāđāļāļąāļāļŦāļēāļāļēāļāļāļļāļĢāļāļīāļāļāļāļāļĨāļđāļāļāđāļē āđāļāļĒāļāļēāļĢāļāļĢāļ°āļāļļāļĄ āļĢāļ§āļāļĢāļ§āļĄāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ āđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ.
- āļŠāļēāļĄāļēāļĢāļāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĩāļĄāļāļąāļāļāļēāļĢāļ°āļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļēāļĄāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢāļāļāļāļāļļāļĢāļāļīāļāđāļĨāļ°āļāļāļāđāļāļāļāļāļāđāļāļĢāļāļāļēāļĢ.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļāļāđāļāļāļĢāļ°āļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨ āđāļāđāļ Requirement Spec, Use Case, Functional Specification, Data Requirement, ER Diagram, Data Schema, Data Dictionary āđāļāđāļāļāđāļ.
- āļāļ§āļāļāļļāļĄāļāļđāđāļĨāļāļēāļĢāļāļģāļāļēāļāļāļāļāļāļĩāļĄāļāļąāļāļāļē āđāļŦāđāļāļģāļāļēāļāļāļĒāđāļēāļāļāļđāļāļāđāļāļāļāļēāļĄāļāļĩāđāļāļāļāđāļāļ āđāļĨāļ°āļāļĢāļāļāļēāļĄāđāļ§āļĨāļēāļāļĩāđāļāļģāļŦāļāļ.
- āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē: āļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ.
- āļŠāļēāļāļēāļ§āļīāļāļē: āļŠāļēāļāļēāđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻ, āļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļŊ āđāļĨāļ°āļŠāļēāļāļēāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļēāļĒāļļ: 22 āļāļĩāļāļķāđāļāđāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ: 0 - 10 āļāļĩ.
- āļĄāļĩāļāļļāļāļĨāļīāļāļ āļēāļāļāļĩ āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāđāļāđāļāļāļĩāļĄāđāļāđ āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŠāļđāļ āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļ āļēāļĒāđāļāđāđāļĢāļāļāļāļāļąāļāđāļāđ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āļāļģāđāļŠāļāļ āļŠāļēāļĄāļēāļĢāļāļāļąāļāđāļāļāļ§āļēāļĄāļŠāļģāļāļąāļ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāđāļāļ·āđāļāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļēāļĢāļāļģāļāļēāļāļāļĩāđāļāļĢāļāļāļąāļ.
- āļĄāļĩāļāļ§āļēāļĄāļāļĒāļąāļ āļāļąāđāļāđāļ āļāļāļāļ āđāļĨāļ°āļĄāļĩāļāļąāļĻāļāļāļāļīāļāļĩāđāļāļĩāļāđāļāļāļĢāļīāļĐāļąāļ.
- āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđ āđāļĨāļ°āđāļĢāļĩāļĒāļāļĢāļđāđāļŠāļīāđāļāđāļŦāļĄāđ āđ āđāļāđāđāļĢāđāļ§.
- āļŠāļēāļĄāļēāļĢāļāđāļāļīāļāļāļēāļāđāļāļāļģāļāļēāļāļāļāļāļŠāļāļēāļāļāļĩāđāđāļāđ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Data Analysis, Recruitment, Power BI, Python, SQL, English, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Collaborate with stakeholders to understand business needs and objectives, and translate them into clear technical specifications.
- Design and develop scripts on the HUE Cloudera based on defined requirements, conduct UAT with users to validate functionality, and execute deployment into the production environment.
- Collect, analyze, and interpret large datasets using tools such as Power BI, Hue, Impala, and Hive. Develop and maintain dashboards and visualizations to support busine ...
- Design and implement data models and algorithms to identify trends, patterns, and insights. Optimize data processes and workflows to enhance productivity and efficiency.
- Perform regular audits and validation checks to maintain data integrity and accuracy.
- Provide ad-hoc data analysis and reporting as needed. Design and implement key metrics to create comprehensive Power BI dashboards for monitoring performance, identifying risks, and improving SLA.
- Maintain and improve SQL queries and Power BI dashboards to ensure seamless decision-making for management and operations teams.
- Stay up-to-date with industry trends and best practices in data analytics.
- Job Qualifications.
- Bachelor's or higher degree degree in Data Science, Computer Science, Statistics, or a related field.
- Proven experience as a Data Analyst or in a similar role.
- Minimum of 5 years of experience in the banking sector.
- Proficiency in data analysis tools and languages such as SQL, Python, R, and Excel.
- Experience with data visualization tools like Power BI.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities with internal and external parties.
- Attention to detail and a commitment to data accuracy.
- Proven ability to coordinate effectively with project teams and various business units.
- Strong knowledge of banking systems.
- Proficient in spoken and written English.
- Demonstrated ability to manage and complete tasks within SLA and assigned timelines.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ: āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāļ°āļāđāļāļāļāļģāđāļāļīāļāļāļĢāļ§āļāļŠāļāļāđāļĨāļ°āđāļāđāļāļāđāļāļĄāļđāļĨāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢāđāļāļāļģāđāļŦāļāđāļāļāļēāļāļāļĩāđāđāļāļ·āđāļāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļīāļŦāļĢāļ·āļāļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄāļāļēāļĄāļāđāļĒāļāļēāļĒāļāļāļāļāļāļēāļāļēāļĢ.
- Remark: The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
- Additional Requirements.
- Be a Part of the UOB Family.
- UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
- Apply now and make a Difference.
āļāļąāļāļĐāļ°:
Data Warehousing, Google Analytics, Problem Solving, Datastudio, QlikView
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
Responsibilities:Work with business domain experts, data scientists and application developers to identify data that is relevant for analysisRetrieve, prepare, and process a rich data variety of data sourcesApply data quality, cleaning and semantic inference techniques to maintain high data qualityGain fluency in our business domain expertiseExplore data sources to better understand the availability and quality/integrity of dataQualifications:Experience with relational database systems with expertise in SQLExperience in data management, data warehousing or unstructured data environ ...
āļāļąāļāļĐāļ°:
Compliance, Accounting, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Check and review the completeness of Personal Loan application/support documents.
- Verify and underwrite Personal Loan application and ensure compliance with bank's policy.
- Approve, decline, reject case or recommend the case for approval.
- Protect the bank from potential loss by report abnormal case to superior..
- Bachelor s degree in business administration, Accounting, Finance, Economic or related field.
- At least 1 years of experience in Credit Analyst, Credit Underwriter or any related.
- Fresh Graduates are welcome.
āļāļąāļāļĐāļ°:
SQL, Statistics, Digital Marketing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ40,000 - āļŋ45,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Implementing and maintaining the deterministic or stochastic Prophet model, data conversion system, and database infrastructure to support actuarial analysis and reporting processes.
- Providing support in the Prophet modelling and data delivery processes to facilitate the fast-close initiative.
- Implementing new products into the deterministic Prophet model and enhancing the data conversion system and/or database infrastructure to support the new product implem ...
- Providing support to facilitate the implementation and testing of ad-hoc model and data change requests and/or project deliverables.
- Investigating, testing and resolving the Prophet model and/or data issues associated with new product implementation, ad-hoc model and data change requests, etc.
- Identifying and communicating about risks and issues in the Prophet modelling and data delivery processes.
- Preparing documentation of changes to the Prophet model, data conversion system, and database.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- FB: Krungsri Career.
- LinkedIn: Krungsri.
- LINE: Krungsri Career.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Prepare and submit high-quality underwriting recommendations for JPC/MNC corporate customer transactions to the appropriate approval authority and/or Credit Committee. Also prepare underwriting recommendations for MUFG pre-consultation, where applicable.
- Review credit ratings and financial spreading analyses to ensure the appropriateness of customers' risk profiles.
- Review cash flow projections and sensitivity analyses.
- Prepare and present proposed transactions to the Line Manager and senior management.
- Coach and provide guidance to junior UW staff (for Senior UW positions).
- Provide support for internal and Bank of Thailand (BOT) stress testing exercises.
- Collaborate with the Risk Management Group to review and enhance various credit-related policies and procedures, including the Delegation of Authority (DOA).
- Perform any other duties assigned by the Bank or the Line Manager..
- Bachelor's or Master's degree in Business Administration, Finance, Accounting, or a related field.
- Credit analysis skills. Prior experience as a credit analyst is preferred.
- Good command of English, both written and spoken.
- Proficient in Microsoft Office applications, particularly Word, PowerPoint, and Excel.
- Communication and interpersonal skills.
- Problem-solving and decision-making skills.
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2026
āļāđāļēāļ§āļŠāļēāļĢāđāļŦāļĄāđāđ
