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Skills:

Legal, Statistics, Data Analysis

Job type:

Full-time

• Maintain, update, and manage litigation data in the bank s information systems (e.g., LIT system) to ensure accuracy and completeness.
• Prepare and analyze litigation reports, including statistical data and case status, to support case monitoring and management.
• Coordinate with related departments to obtain additional documents or information and ensure data accuracy in the system.
• Support the preparation of management reports regarding litigation status, case progress, and other related information.
• Scan and manage legal documents and upload them into the bank s document management systems and shared drives.
• Assist in improving data management processes and supporting the use of systems or tools to enhance efficiency in litigation data management.
• Perform other duties as assigned by supervisors.
• Bachelor s degree in Information Technology, Statistics, Data Science, Computer Science, or related fields.
• Experience in data management, data analysis, or information systems is preferred.
• Strong proficiency in Microsoft Excel and data analysis tools.
• Good analytical, data management, and reporting skills.
• Detail-oriented with strong organizational skills.
• Experience in banking, financial institutions, or legal/litigation environments will be an advantage.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LinkedIn: Krungsri.
• LINE: Krungsri Career.

Job type:

Full-time

• รับผิดชอบการจัดทำและคำนวณค่า Commission พนักงาน ให้ถูกต้องตามหลักเกณฑ์ที่กำหนด
• ตรวจสอบและปรับปรุงสถานะร้านค้าในระบบ เพื่อใช้เป็นข้อมูลในการวางแผนการดำเนินงานประจำเดือน
• รวบรวมและตรวจสอบข้อมูลเป้าหมายจากฝ่ายขาย พร้อมดำเนินการปรับปรุงข้อมูลให้ถูกต้อง
• ตรวจสอบความถูกต้องของข้อมูลยอดขายประจำเดือน
• บริหารจัดการข้อมูล (Data Management) ให้มีความถูกต้อง ครบถ้วน และเป็นระบบ
• วิเคราะห์ เปรียบเทียบข้อมูลเป้าหมาย-ยอดขายรายเดือน เพื่อจัดทำค่า Commission พนักงานอย่างถูกต้อง
• จัดทำรายงานสรุปผลการดำเนินงาน (Performance Report)
• วิเคราะห์ข้อมูลเชิงลึก (Data Analysis) เช่น ข้อมูลเป้าหมาย ยอดขาย (Sale In) ประเภทการขาย และช่องทางการขายในแต่ละพื้นที่ เพื่อสนับสนุนการวางแผน
• ติดตามและประสานงานด้านเอกสารการเปิด-ปิดร้านค้าในระบบให้เป็นไปตามกระบวนการ
• ออกแบบ พัฒนา และปรับปรุง Dashboard
• นำเสนอข้อมูลเชิงวิเคราะห์ (Insight) ต่อผู้มีส่วนเกี่ยวข้อง.
• Job Skills & Qualifications.
• Educations Background (การศึกษา): ปริญญาตรีหรือสูงกว่า ในสาขาบริหารธุรกิจ การตลาด สถิติ เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง
• มีประสบการณ์ด้านงาน Data Support, Sales Support หรือสายงานที่เกี่ยวข้อง
• มีความรู้และทักษะด้านการวิเคราะห์ข้อมูล (Data Analysis) และการจัดทำรายงานเชิงบริหาร (Management Reporting)
• สามารถใช้ Power BI ในการออกแบบและพัฒนา Dashboard รวมถึง Data Visualization ได้เป็นอย่างดี โดยผู้ที่มีประสบการณ์ใช้งาน 3-5 ปีขึ้นไป จะได้รับการพิจารณาเป็นพิเศษ.

Skills:

Product Development, Tableau, SQL

Job type:

Full-time

• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Experience using business intelligence tools (e.g. Tableau).
• Knowledge of SQL and Python.
• Understanding of machine-learning and operations research.
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics).
• Problem-solving aptitude.
• Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• 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).
• 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.

Skills:

Digital Marketing, Big Data, Statistics

Job type:

Full-time

• Drive clear and effective business translation of AI/ML products between business and technical stakeholders..
• Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives..
• Analyze Big Data to develop effective predictive and recommendation models..
• Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance..
• Continuously refine and enhance AI models through testing and performance evaluation..
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects..
• Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field..
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field..
• Proficiency in some of the following: Python, PySpark and SQL etc..
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus..
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus..
• Ability to communicate and collaborate with cross-functional teams..
• Growth mindset and openness to continuously learning and facing new projects and new technologies...
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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.".

Skills:

Kafka, Python, SQL

Job type:

Full-time

• Develop and maintain credit risk assessment and lending decisions modules.
• Expertise for handling large financial databases and credit data manipulation.
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask, FastAPI) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies.
• Monitor model performance to ensure high accuracy and reliability in credit decisions.
• Data Analysis & Risk Assessment.
• Clean and preprocess financial datasets, particularly credit lending and risk data.
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills.
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms (AWS,GCP) for model deployment.
• Knowledge of statistical and machine learning techniques for risk modeling.
• Domain Expertise.
• Understanding of credit lending and risk assessment principles.
• Experience in financial data analysis within regulatory constraints.
• Proven track record in developing credit decision engines (optional).
• Education & Experience.
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field.
• Minimum 3 years experience in retail lending or similar role.
• Additional Requirements.
• Strong communication skills for presenting complex findings and process flow to management.
• Experience with data visualization tools (Tableau, Power BI).
• Ability to work collaboratively with cross-functional teams..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. 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.".

Skills:

SQL

Job type:

Full-time

• Understand RDT (Regulatory Data Transformation) requirement from BOT (Bank of Thailand).
• Provide data availability analysis, data source, data extraction criteria and confirm with related Domain expert, Data owner and support functions.
• Provide data validation rules.
• Confirm final data extraction logic with IT-RDT team.
• Support for any DQ issue and solution.
• Maintain RDT Center parameters.
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
• Experience in regulatory data management, its relationship and dependencies.
• Well-versed in banking industry knowledge and strong in data-related skills.
• Well-versed RDT Regulation Literacy.
• Data profiling with variety data sources.
• Interpersonal skill with IT/Domain Expert/Data Owner, able to communicate well.
• Advance SQL skill is a must for this role.
• Banking background will be advantage.
• 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.
• 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).

Experience:

4 years required

Skills:

Accounting, Negotiation

Job type:

Full-time

• Act as internal consultant to support strategy development and lead execution of key strategic projects.
• Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
• Work with head of department to plan and allocate partnership budget across channels.
• Develops and maintains productive working relationships with team members.
• Tracking business performance and create monthly summary report.
• Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
• At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
• Experience in consultancy companies Big4 is a plus.
• Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
• Creative problem solver.
• High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
• report is a plus.
• Location: True Digital Park, Punnawithi.

Job type:

Full-time

• Design and develop data storage structures from various systems, ensuring data integration for efficient usage.
• Organize data in a format that is ready for use and supports analysis.
• Define report formats that meet the needs of different departments within the organization.
• Develop automated reporting systems that can deliver data to each team according to scheduled timelines.
• Design reports to support product category management and space management based on POS (Point of Sale) data.
• Process and analyze data from POS systems, as well as market survey data, to develop sales strategies for different areas and store segments.
• Analyze sales data and business performance, and compare them against targets.
• Analyze promotional campaign data and summarize results to present to management.
• Analyze marketing data including growth rate, pricing, product lifecycle, distribution, merchandising, and repeat purchases, by compiling reports from both internal company data and competitor data.
• Participate in annual budgeting (sales and promotional activities).
• At least 4 years of experience in data structure design, automated reporting, and data analysis for business development, with a strong focus on Power BI and SQL.
• Knowledge of retail / FMCG business operations.
• Strong strategic thinking and advanced data analysis skills.
• Familiarity with Big Data tools, analytics platforms, and digital technologies.
• Proficiency in data visualization tools such as Power BI and SQL.
• Contact Person: [email protected] (Apitchaya).

Skills:

Risk Management

Job type:

Full-time

• FB: Krungsri Career.
• LINE: Krungsri Career.
• Linkedin: Krungsri.

Skills:

Excel, Tableau

Job type:

Full-time

• ออกแบบโครงสร้าง Data Marketing สำหรับ RueJai App.
• กำหนด Data Fields ที่ต้องเก็บ เช่น.
• Behavioral Data (frequency - feature usage, segmentation, customer journey vs purchase).
• Transaction Data (purchase, repurchase).
• Sale performance (lead/ channel/ target/ success rate).
• Campaign Response Data.
• Marketing Data & Analytics.
• จัดเก็บ รวบรวม วิเคราะห์ บริหารข้อมูลการตลาด Transaction และ Presale.
• วิเคราะห์พฤติกรรมการ การใช้งานแอปพลิเคชั่น ซื้อสินค้าและบริการ และข้อมูลตามอายุบ้าน/ คอนโด.
• สร้าง Lead เพื่อการขาย.
• ร่วมวางแผนและกำหนดกลุ่มเป้าหมายสำหรับแคมเปญการตลาด.
• วิเคราะห์ประสิทธิภาพแคมเปญ เช่น Conversion Rate, Engagement Rate, Retention Rate.
• พัฒนาข้อมูลเพื่อสร้าง Dashboard สำหรับติดตาม OKR ของทีม.
• วิเคราะห์โอกาสสร้างรายได้จากบริการภายในแอป.
• Customer Insight & Segmentation.
• วิเคราะห์ Customer Journey ของลูกบ้านแต่ละ Segment (บ้านแนวราบ / คอนโด).
• สร้าง Segmentation Model เช่น.
• High Engagement Residents.
• Service Heavy Users.
• Passive Users.
• สร้าง Predictive Insight เพื่อหา Upsell / Cross-sell Opportunity.
• Campaign Performance & Personalization.
• จัดทำ Insight Report เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์ของทีม Marketing.
• ออกแบบ Targeted Campaign ผ่าน Push Notification / In-app Message / Email.
• วิเคราะห์ Conversion Rate, CTR, Engagement Rate.
• Reporting.
• รายงานผลการดำเนินงานประจำเดือน/ไตรมาส.
• รายงาน OKR.
• VU / MAU/ Growth Rate/ Engagement Rate/ Retention Rate.
• Presales/Revenue.
• สรุป Insight ให้ผู้บริหารในเชิงกลยุทธ์ (ไม่ใช่แค่ตัวเลข).
• รายงาน Incentive ให้พนักงานขาย (Incentive per sale/ channel).
• Support Backend RueJai App.
• นำรายละเอียดข้อมูลการขาย แพ็กเกจต่างๆใส่ในระบบ backend app และจัดเก็บข้อมูลอย่างเหมาะสม.
• Skill ที่ควรมี.
• ชอบตัวเลข และการวิเคราะห์ข้อมูล ชอบตั้งคำถามจากข้อมูลที่เห็น.
• Data Analytics (Excel Advanced, Tableau, etc.).
• Strategic Thinking + Business Mindset.
• เป็น Data Analyst ที่เข้าใจ Marketing.
• ปริญญาตรีหรือสูงกว่า สาขาการตลาด บริหารธุรกิจ สถิติ วิทยาการข้อมูล หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics / Marketing Analytics / CRM อย่างน้อย 2-3 ปี.
• สมัครงาน โปรดระบุ Expected Salary.
• Co working Space
• ฟิตเนต
• ประกันสังคม / ประกันสุขภาพ / ประกันชีวิต / ประกันอุบัติเหตุ
• กองทุนสำรองเลี้ยงชีพ
• โบนัสประจำปี
• วันลาพักร้อน เมื่อผ่านทดลองงาน
• วันลา Workation
• วันหยุดพิเศษในเดือนเกิด
• ตรวจสุขภาพประจำปี
• เงินช่วยเหลือสมรส / เงินช่วยเหลือฌาปนกิจ.
• การเดินทาง
• BTS: สถานีพหลโยธิน24
• MRT: สถานีพหลโยธิน
• บริการเรียกรถผ่าน App MuvMi.
• ติดตามข่าวสารจาก SC ASSET ได้ที่
• http://insidesc.scasset.com/.

Skills:

Risk Management, Project Management, Social media, English

Job type:

Full-time

• Data Quality: Clean and update the database to ensure accuracy.
• Lead Generation Execution Identify service sales opportunities and from existing data.
• Marketing & Promotion: Execute outreach via Tele-marketing, Email, and Online channels to promote product.
• Campaign Deployment: Implement global business campaigns and coordinate actions with the Global Team.
• B. Responsibilities & duties: Marketing Event Management & Coordination Event Definition: Define objectives, scope, and agendas.
• Timeline: Schedule and coordinate all involved parties.
• Event Materials: Manage registration, opportunity detection tools, and gifts/premiums.
• Risk Management: Develop "Plan B" for potential emergencies.
• Tracking & Analysis Data Collection: Gather attendee feedback and participation data.
• Sales Handover: Transfer identified business opportunities to the Sales team.
• Tracking: Follow up and monitor the progress of all event-generated opportunities.
• C. Skills, English.
• Project Management.
• Social media & AI.
• Presentation & writing skills (email, briefing).
• D. Software, Excel, Word, Outlook, PowerPoint, MS-team.
• Saleforce.
• What will make you successful: Proven track record in database marketing and lead management operations.
• Strong analytical mindset with expertise in statistical analysis and customer segmentation.
• Experience with direct marketing campaigns and customer behavior analysis.
• Excellent communication skills to partner with sales teams and stakeholders.
• Demonstrated ability to translate data insights into actionable marketing strategies.
• Opportunity to shape and influence our global marketing operations strategy.
• Hands-on experience with cutting-edge marketing analytics tools and technologies.
• Collaborative environment working with cross-functional teams worldwide.
• Professional development and growth opportunities in marketing analytics.
• Chance to make a direct impact on business growth through data-driven decisions.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 36 billion global revenue
• 13% organic growth
• 150 000+ employees in 100+ countries
• 1 on the Global 100 World s most sustainable corporations.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Skills:

Statistics, Excel, SQL, English

Job type:

Full-time

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

Skills:

Compliance

Job type:

Full-time

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• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.

Skills:

Research, Big Data, Full Stack, English

Job type:

Full-time

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

Skills:

Statistics, Excel, SQL, English

Job type:

Full-time

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

Skills:

Research, Big Data, Full Stack, English

Job type:

Full-time

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

Skills:

Business Development, Statistics, Power BI

Job type:

Full-time

• Bachelor s degree in Business, Economics, Statistics, Engineering, or related fields (Master s degree preferred).
• 5-8 years of experience in business analysis, data strategy, or commercial development.
• Strong analytical and problem-solving skills with proven business acumen.
• Experience working with BI and analytics tools (e.g., Power BI, Tableau, SQL, Python/R).
• Ability to synthesize complex data into business-friendly insights and recommendations.
• Excellent communication and stakeholder management skills.
• Strong presentation and storytelling ability to influence senior management..

Experience:

5 years required

Skills:

Automation, SAP, SQL

Job type:

Full-time

• Internal Data Navigation: Act as the subject matter expert on where and how to extract data across fragmented internal systems. You will "connect the dots" between siloed data sources to create a unified view for the business.
• Data-to-Business Translation: Convert complex data outputs into "sales-ready" insights. You will ensure that data signals (IPOs, funding, internal deal history) are translated into clear strategies for AEs and SDEs.
• Process Implementation: Work alongside API/Automation specialists to implement and m ...
• Operational Enablement: Serve as the bridge between the technical automation team and Generalist DDI Analysts. You will lead the training and rollout of new data processes, ensuring technical tools are used correctly to support sales.
• Stakeholder Bridging: Act as the primary technical point of contact for customer-facing roles, helping them navigate data tools and ensuring their feedback is reflected in our technical roadmap.
• Knowledge, Skills, and Abilities.
• Expert Data Navigator: Proven ability to work within complex, large-scale organizations (like SAP) to locate and extract data from diverse and often fragmented sources.
• Business Intelligence & Ops Experience: Strong understanding of the B2B sales cycle, sales operations, and how data impacts seller behavior and pipeline velocity.
• Technical Proficiency: Expertise in SQL and Excel for data extraction and modeling.
• Experience with Python or R to interface with automated data pipelines.
• Familiarity with CRM/Sales tools (e.g., Outreach, SAP CRM) and data vendors (e.g., ZoomInfo, Lusha).
• Training & Communication: Ability to break down technical workflows into simple, actionable instructions for non-technical team members.
• Analytical Problem Solving: Ability to look at "Data Everywhere" and identify the specific signals that will drive revenue.
• Education & Qualifications.
• Education: Bachelor's or Master's degree in Business, Data Science, Computer Science, or a related field.
• Experience: 5+ years in a Data Analyst or Sales Operations role, preferably within a large enterprise environment.
• Demonstrated experience in a role that requires "connecting the dots" between technical teams and business stakeholders.
• Experience in training or enabling teams on new technical processes.
• Foundational Competencies.
• The "Bridge" Mindset: Naturally seeks to align technical capabilities with business needs.
• Resourcefulness: A "detective" approach to finding data in complex environments.
• Collaboration: High empathy for customer-facing roles and a drive to make their jobs easier.
• Bring out your best
• SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
• We win with inclusion.
• SAP s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
• SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected].
• For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
• Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
• Successful candidates might be required to undergo a background verification with an external vendor.
• AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.Please note that any violation of these guidelines may result in disqualification from the hiring process.

Job type:

Full-time

• Entry-level knowledge in a specific domain or industry, with consulting and client engagement experience.
• Understanding of business transformation and strategic thinking ability.
• Excellent problem-solving and analytical skills.
• Detail-oriented with an understanding of strategic business impacts.
• Previous experience in a consulting or IT role within a large-scale, multinational technology services environment.
• Strong interpersonal skills to build and maintain stakeholder relationships.
• Excellent client service orientation.
• Ability to establish and manage processes and practices through collaboration.
• Bachelor s degree in information technology, Business Management, or a related field.
• Hybrid Working About NTT DATA
• NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
• Third parties fraudulently posing as NTT DATA recruiters.
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Skills:

Compliance, Legal, Research, English

Job type:

Full-time

• Support engagement with relevant government agencies (e.g., energy regulators, local planning and zoning authorities) in coordination with senior GR and project leads.
• Track and summarize relevant legislation, regulations, and industry standards (e.g., data privacy, energy use, cybersecurity, land use) that may impact data centre projects, and support internal advocacy positions on local policies affecting data centre development and operations (e.g., tax incentives, energy supply agreements).
• Ensure all project planning, documentation, and execution are compliant with nationa ...
• Stakeholder Coordination & Communications Support.
• Support day-to-day coordination with government counterparts, regulatory staff, and local stakeholders under the guidance of senior leads.
• Prepare briefing materials, talking points, and presentation decks for meetings with government bodies, highlighting project scope and key benefits.
• Help maintain stakeholder contact lists, meeting records, and follow-ups to ensure continuity and consistency of engagement.
• Research, Documentation & Reporting.
• Manage the submission and tracking of all required governmental documents, ensuring accuracy and timely delivery.
• Prepare project dashboards, status reports, and executive briefings for leadership and stakeholders.
• Document processes, lessons learned, and best practices to support knowledge-sharing across future projects.
• Identify and proactively manage regulatory and political risks that could cause project delays or cost overruns and flag issues early to senior stakeholders.
• Coordinate responses to government inquiries, audits, or compliance issues related to the data centre projects in coordination with Legal, GR, and project teams.
• Track action items and mitigation steps related to regulatory and government-facing issues.
• Strong project management and coordination skills, with experience supporting complex, multi-stakeholder projects; PMP/PRINCE2 certification is a plus but not required.
• 5+ years dedicated professional experience with policy advocacy.
• Good understanding of public policy and regulatory issues relevant to large technology, infrastructure, or data-driven businesses (e.g., data privacy, energy policy, land use, cybersecurity), with the ability to translate policy developments into project implications.
• Excellent Thai and English fluency, both written and spoken as this person would need to work with internal & external stakeholders and conduct research for policy developments in both languages.
• Strong research, analysis, and writing skills, with the ability to synthesize complex regulatory or policy information into clear briefings, dashboards, and executive-ready materials.
• Deep experience working across multiple functions, influencing, and collaborating with others to successfully implement programs and initiatives; history of successful cross-functional team and leadership collaboration.
• Preferred Qualifications.
• Working knowledge of data centre operations and infrastructure, or strong experience in adjacent infrastructure sectors (e.g., energy, telecoms, industrial projects), with the ability to learn technical concepts quickly.
• Outstanding judgment, persuasive and advocacy skills, creativity, and the ability to work in a dynamic, fast-paced, and often uncertain environment.
• Excellent stakeholder management and communication skills.
• Highly organized and detail-oriented, capable of managing multiple workstreams, documentation requirements, and deadlines simultaneously.
• Strong teamwork and communication skills: the individual will need to work with other departments including, but not limited to policy/legal/communications staff to assess needs, alignment and path for collaboration.
• Discipline, strong sense of responsibility and self-drive with a strong sense of ownership and accountability for assigned responsibilities.