เงื่อนไขการค้นหา

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL, Compliance, Automation

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable and secure data pipelines on cloud platforms (AWS/GCP/Azure). - Architect and implement data lake, data warehouse, and data mart solutions for enterprise workloads.
• Develop and optimize ETL/ELT pipelines using modern tools and cloud-native services.
• Work closely with Data Analysts, Data Scientists, and Business teams to support analytical and ML use cases.
• Ensure high data quality, governance, security, and compliance across all data systems.
• Implement best practices in data modeling, data partitioning, orchestration, and workflows.
• Lead performance tuning, cost optimization, and reliability improvements for cloud data pipelines.
• Build CI/CD pipelines and infrastructure as code (IaC) for data platform automation.
• Evaluate and introduce new technologies and frameworks to enhance the data ecosystem.
• Mentor junior engineers and lead technical discussions within the data team.
• Requirements:Bachelor's or master's in computer science, Engineering, Data Science, or related fields.
• 5 years of experience in Data Engineering or related fields.
• AWS: Redshift, Glue, S3, EMR, Kinesis, Lambda GCP: BigQuery, Dataflow, Pub/Sub, Dataproc, GCS.
• Azure: Synapse, ADLS, Data Factory, Databricks.
• Proficient in Python, SQL, and at least one distributed processing framework (Spark, Beam, Databricks).
• Strong experience with ETL/ELT pipelines and data workflow orchestration tools (Airflow, Cloud Composer, Dagster, Prefect).
• Experience with IaC (Terraform, CloudFormation, CDK).
• Excellent understanding of data modeling (OLTP, OLAP, star schema, snowflake schema).
• Familiarity with DevOps and CI/CD for data engineering.
• Strong problem solving skills and ability to work in a fast paced environment.
• 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 RD.
• 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.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• 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).

ประเภทงาน:

งานประจำ

• 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).

ประเภทงาน:

งานประจำ

• 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.

ประเภทงาน:

งานประจำ

• ปรับปรุงฐานข้อมูลเชิง Engineering และวิเคราะห์ข้อมูล เพื่อให้เกิดประสิทธิภาพและความเสถียรภาพ ของอุปกรณ์การผลิต.
• พัฒนาโมเดลทำนายความเสียหายของเครื่องจักร เพื่อให้ทีมซ่อมบำรุงวางแผนซ่อมบำรุงล่วงหน้า (Predictive Maintenance).
• วิเคราะห์และปรับปรุงเส้นทางการขนส่ง ทางบกและทางน้ำ เพื่อให้มีประสิทธิภาพสูงสุด และ ลดต้นทุน.
• สร้างเครื่องมือวิเคราะห์ เพื่อช่วยในการ บริหารสต็อกน้ำมันและการจัดสรรผลิตภัณฑ์ ไปยังคลังได้อย่างเหมาะสม.
• ดูแลโมเดลทั้งหมด ตั้งแต่การพัฒนา, การทดสอบ, การนำไปใช้จริง, ไปจนถึง การติดตามและปรับปรุง ให้ทำงานได้ดีเสมอ.
• สร้างระบบ (Data Pipeline) ด้วยโค้ด Python และ SQL เพื่อเตรียมข้อมูลขนาดใหญ่สำหรับการวิเคราะห์.
• ทำงานร่วมกับวิศวกร เพื่อนำเสนอผลลัพธ์ที่ซับซ้อนให้เป็น ข้อมูลเชิงลึกที่นำไปใช้ได้จริง ผ่านเครื่องมือ Power BI.
• ปริญญาตรี / โท ในสาขา Data Science, สถิติ, วิทยาการคอมพิวเตอร์, วิศวกรรมศาสตร์, คณิตศาสตร์ประยุกต์.
• 1-3 ปีขึ้นไป ในบทบาท Data Scientist, Data Analyst, หรือ Machine Learning Engineer โดยมีประสบการณ์ในการทำงานกับ Big Data และ การนำโมเดลไปใช้งานจริง.
• เขียนโค้ด Python ได้คล่อง เพื่อใช้ในการวิเคราะห์ข้อมูลและสร้างโมเดล.
• ดึงและจัดการข้อมูลขนาดใหญ่ จากฐานข้อมูลต่าง ๆ ได้อย่างมีประสิทธิภาพด้วย SQL.
• สร้างและนำโมเดล Machine Learning ไปใช้จริงในระบบ เพื่อสร้างผลลัพธ์ทางธุรกิจ.

ทักษะ:

Excel, Tableau

ประเภทงาน:

งานประจำ

• 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/.

ประเภทงาน:

งานประจำ

• 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.
• Workplace type: 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 RD.
• 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.

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Legal, Statistics, Data Analysis

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Compliance

ประเภทงาน:

งานประจำ

• FB: Krungsri Career.
• LINE: Krungsri Career.
• LinkedIn: Krungsri.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.

ทักษะ:

Power BI, Microsoft Office, Power point

ประเภทงาน:

งานประจำ

• วิเคราะห์ และจัดทำรายงานเปรียบเทียบข้อมูล ต่างๆ เช่น รายวัน, รายเดือน, รายปี โดยเปรียบเทียบกับข้อมูลในอดีตเป้าหมาย และการประมาณการในอนาคต เพื่อนำเสนอผู้บริหาร.
• จัดทำงบประมาณประจำปีในส่วนของ ยอดขาย และค่าใช้จ่ายส่งเสริมการขาย.
• จัดทำรายงานสรุป Profit & Loss ประจำเดือนในมุมมองบริหารฯ เพื่อนำเสนอผู้บริหาร.
• จัดทำฐานข้อมูลตามแนวทางต่างๆ เพื่อสนับสนุน การคำนวณ/การทำรายงานของส่วนงานอื่นๆ ที่เกี่ยวข้อง เช่น เป้าหมายการจ่ายเงินจูงใจให้กับพนักงาน, เป้าหมายการจ่ายเงินรางวัล เป็นต้น.
• ออกแบบ Dashboard สำหรับข้อมูลด้านต่างๆ ที่เกี่ยวข้อง ให้ผู้ใช้งานเข้าใจ และสามารถนำไปใช้ได้ง่าย เช่น Power BI.
• ออกแบบ Template ให้ส่วนงานต่างๆที่เกี่ยวข้อง เพื่อรองรับการทำงานในการรวบรวมข้อมูล เพื่อช่วยให้การทำงาน ได้ผลลัพธ์ที่รวดเร็วขึ้น.
• วิเคราะห์ข้อมูลอื่น ๆ ที่เกี่ยวข้อง ตามที่ได้รับมอบหมาย.
• ให้คำแนะนำในกาวิเคราะห์ข้อมูล แก่หน่วยงาน ต่าง ๆ ที่มีการใช้งานข้อมูล.
• งานอื่น ๆ ที่ได้รับมอบหมาย.
• มีทักษะในการใช้คอมพิวเตอร์โปรแกรม MS Excelขั้นสูง.
• มีทักษะการใช้คอมพิวเตอร์อื่นๆ ได้เป็นอย่างดี: Microsoft Office; Word, Power Point.
• มีความสามารถทางการวิเคราะห์ การวางแผน และการจัดการอย่างเป็นระบบ และมีมาตรฐานในการทำงาน.
• มีทักษะในการสื่อสาร และความสามารถ ในการเจรจา ต่อรอง.
• มีความสามารถในการเรียนรู้สิ่งใหม่ ๆ ได้รวดเร็ว.
• มีทักษะในการนำเสนองาน.
• มีทักษะในการใช้ Power BI (ถ้ามี).
• มีความรู้พื้นฐานด้านการเขียนโปรแกรมต่าง ๆ (ถ้ามี).
• ติดต่อสอบถาม.
• บริษัท โมเดิร์นเทรด แมนเนจเม้นท์ จำกัด.
• อาคารเล้าเป้งง้วน 1 ชั้น 26 ถนนวิภาวดีรัสิต แขวงจอมพล เขตจตุจักร แขวงจอมพล เขตจตุจักร จังหวัดกรุงเทพมหานคร.

ทักษะ:

Compliance, Statistics, Research

ประเภทงาน:

งานประจำ

• Develop standards, practices, and requirement for digital signature, content and data management as well as ensure consistent compliance of all implementations.
• Develop existing and future requirement for use of digital signature, content and data management system to meet data need to serve company strategy and external trends.
• Develop a strategic and tactical plan in alignment with current and future business requirement on data management.
• Identify the key data required to run the projects as well as define key issues and recommendations to solve the problems.
• Facilitate data council to provide guidelines and recommendation on business requirements, practice, and compliance.
• Communicate standards and practices regarding data management to relevant stakeholders, and monitor all implementation to ensure efficiency.
• Define, manage, and update overall data catalog as well as collate data definition, sources, and owners for key data required for the business.
• Provide information to business users as required.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or operations research or related technical discipline.
• 10 years or more experience in Data Governance.
• Experience in working with digital signature, content and data management related to data architecture, integration, classification, strategy, quality management, security and privacy standards.
• Understand industry processes and uses of data throughout the lifecycle in the functions/data domains.
• Knowledge of industry and ability to translate business needs into data.
• Additional Desirable Qualification.
• CORE Competencies.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• 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).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Project Management

ประเภทงาน:

งานประจำ

• Bachelor's degree in Business, Logistics, Operations, Engineering, a related field, or equivalent practical experience.
• 5 years of experience in managing warehousing and supply chain operations.
• 5 years of experience working with, supervising, and managing third-party logistics relationships.
• Master's degree in Business Administration, or a related field.
• 5 years of experience analyzing data and generating business insights to guide business decisions.
• Experience with Data Center logistics or Warehouse operations.
• Ability to work independently and as part of a cross-functional team.
• Ability to apply structured thinking and logic to work and provide solutions to issues.
• A problem isn t truly solved until it s solved for all. That s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you ll lead complex, multi-disciplinary projects from start to finish working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
• In this role, you will be the leader of how Google enhances daily logistics processes while incorporating current industry standards and best practices. You will be responsible for driving continuous process improvement recommendations, managing the implementation of changes within operations, standardizing user documentation, creating processes that motivate action, and interacting with all partner teams. You will initiate and oversee operational improvement efforts for the Google Cloud Logistics, evaluate operational impacts to inform improvements, work with key stakeholders, motivate innovation within the operational teams, and create presentations or documents for the leadership team highlighting operational performance and improvements.
• The AI and Infrastructure team is redefining what s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
• We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
• Own the day-to-day logistics operations management of multiple data center locations.
• Create, lead, and support cross-functional company initiatives/projects.
• Manage Third-party logistics partners with associates on their teams dedicated to our account. Manage and monitor metrics for key performance indicators (KPIs), vendor performance scorecards, and development of business cases to support logistics process changes or improvements. Drive alignment and prioritization of initiatives in a fluid environment.
• Manage quarterly budgets, invoice control, and capital improvement projects within your locations. Manage relationships with multiple internal customers at data centers.
• Recognize improvement opportunities to the cost or quality of services to be provided. Prepare documented business case, present the business case to the peers and management for approval, and provide ongoing project management.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ทักษะ:

Java, J2EE, Spring Boot

ประเภทงาน:

งานประจำ

• We are seeking an experienced Solution Architect with a strong background in J2EE technology stack and microservices architecture to join our team. In this role, you will be responsible for designing and leading the implementation of complex software solutions that align with our business objectives. You will collaborate with stakeholders, including development teams, product owners, and executives, to ensure the technical feasibility of new initiatives and enhancements.
• For the detailed scope of work.
• Lead the design, development, and implementation of J2EE and microservices architectures.
• Collaborate with cross-functional teams to define, develop, and launch new features and functionality.
• Design, build, and maintain APIs to enable seamless integration between microservices.
• Define and enforce coding standards, architecture, and design patterns.
• Identify and resolve technical issues and defects.
• Provide technical leadership and mentoring to team members.
• Ensure that solutions meet the business and technical requirements, are scalable, and can be easily maintained and..
• Apply now if you have these advantages.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• A minimum of 5 years of experience as a Software Developer, Technical Lead, or Solution Architect in a J2EE environment.
• Demonstrated expertise in Java programming language, libraries, and frameworks (Spring Boot, Hibernate, etc.).
• Familiarity with containers (Docker), container orchestrators (Kubernetes, Docker Swarm), and cloud platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform).
• Strong problem-solving skills and the ability to learn new technologies quickly.
• Excellent communication skills, both written and verbal.
• Experience working in an Agile development environment and implementing DevOps practices is preferred.
• Strong understanding of NoSQL databases (Cassandra, MongoDB, etc.) and experience designing scalable data models for cloud applications.
• Knowledge of message brokers (Apache Kafka) and experience integrating microservices using event driven architectures.
• Familiarity with frontend technologies (React, AngularJS, etc.) and experience designing RESTful APIs is a plus.
• Experience working on large-scale, complex projects in a fast-paced environment is desirable.
• Strong understanding of database design and optimization for J2EE applications (MySQL, PostgreSQL).
• 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 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).

ทักษะ:

Business Development, Statistics, Power BI

ประเภทงาน:

งานประจำ

• 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..

ประเภทงาน:

งานประจำ

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

ทักษะ:

Compliance, Legal, Research, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Quality Assurance, Assurance, Data Analysis, English

ประเภทงาน:

งานประจำ

• Perform daily operational tasks such as quality inspection, guidelines and process optimization, queue assignment, and handling escalations for the evaluation project.
• Work closely with stakeholders to stay updated on guideline developments and provide feedback on implementation and execution.
• Conduct daily audits on an internal system and provide error analysis and feedback to stakeholders (R&D & Product Manager).
• Monitor the quality scores of evaluators and conduct root cause analysis with the management team.
• Monitor project data, record daily output and quality scores, prepare data analysis/reports for projects, and validate reports and data provided to stakeholders/partners.
• Localize the guidelines and design training schedules and coordinate and liaise with key stakeholders to ensure the successful go live within the targeted timeframe.
• Deliver process/product/guideline training to new joiners.
• Play a role in setting up product knowledge tests, sharing result analysis, and working with key stakeholders to improve the product knowledge of the team.
• Completion of Bachelor's degree or above.
• Proficiency in English and Thai as working languages.
• 1 year of experience in Quality Analyst/Quality Assurance, particularly in search engine evaluation.
• Familiarity with search engines, social media algorithms, and SEO.
• Demonstrated computer proficiency with Office software.
• Deep understanding of local culture and internet usage habits.
• Attention to detail and ability to use data analysis to identify trends.