เงื่อนไขการค้นหา

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Support and maintain monthly ETL processes for actuarial data workflows.
• Provide technical support for Actuarial and Reinsurance teams.
• Develop, modify, and maintain stored procedures, SQL scripts, and SSIS packages.
• Investigate and resolve data quality and consistency issues.
• Perform technical troubleshooting and root cause analysis for data-related problems.
• Assist in developing and maintaining data pipelines and integration workflows.
• Prepare and maintain technical documentation for data processes and systems.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Contribute to process improvements and knowledge sharing within the team.
• ABOUT YOU
• 0-3 years of experience in Data Engineering, Data Analytics, or a related field.
• Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services.
• Proficiency in T-SQL / SQL, with experience in Spark and Python.
• Strong understanding of Microsoft SQL Server (MSSQL) and Azure Blob Storage.
• Growth mindset with a proactive and solution-oriented attitude.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills in English and Thai, both written and spoken.
• Nice to have
• Knowledge of the insurance industry, particularly Actuarial or Reinsurance domains.
• Familiarity with WTW Unify or IBM DB2 (AS400) environments.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ทักษะ:

ETL, SQL

ประเภทงาน:

งานประจำ

• เฝ้าระวังและตรวจสอบสถานะการทำงานของ ETL jobs และ data pipelines ต่างๆ ผ่านระบบ Monitoring tools.
• วิเคราะห์และแก้ไขปัญหาที่เกิดขึ้นเมื่อ Job ทำงานไม่สำเร็จ หรือล่าช้า และแก้ไขเบื้องต้น.
• ประสานงานกับทีมที่เกี่ยวข้อง เพื่อแก้ไขปัญหาที่ซับซ้อน.
• เขียนและใช้คำสั่ง SQL ได้เป็นอย่างดีเพื่อสืบค้น ตรวจสอบ และจัดการข้อมูล.
• จัดทำเอกสาร หรือส่งรายงานสรุปปัญหาและแนวทางแก้ไขที่เกิดขึ้นให้กับผู้เกี่ยวข้อง.
• Qualificationsปริญญาตรี สาขาวิทยาการคอมพิวเตอร์, เทคโนโลยีสารสนเทศ, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 0 - 2 ปี.
• Required Skills:Data Platform, Data Warehouse, Data Integration, SQL, ETL Tools,.
• การแก้ไขปัญหาเฉพาะหน้า.
• มีความละเอียดรอบคอบ.
• ทำงานภายใต้ความกดดันได้ดี..

ทักษะ:

ETL, Power BI, SQL

ประเภทงาน:

งานประจำ

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ทำงานในสายงาน Data (BA หรือ SA) 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

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:

SAS, SQL, Tableau

ประเภทงาน:

งานประจำ

• Produce daily, weekly, monthly business report for the Collections Department.
• Develop and automated data processes, including routine and ad-hoc reports, to improve efficiency.
• Coordinated cross-functional teams to define business objectives and present complex data insights clearly.
• Analyzed and improved existing business reports and provided support for problem-solving and new business requirements.
• Enhance collector performance by implementing report for performance tracking, involving requirements gathering and report template design by using tools such as SAS.
• Design and develop data visualization, dashboards, to support business comprehend data and make critical decisions.
• Estimate costs and benefits for incentive schema of the Collections Department.
• Bachelors and / or Masters degree in any field.
• 3+ years experience as MIS.
• Experience in using SAS, SQL, Powe BI, Tableau, Access and Excel (Pivot, VLOOKUP).

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:

SQL

ประเภทงาน:

งานประจำ

• BOT (Bank of Thailand) Contact Center for RDT related including new requirement,.
• RDT requirement interpretation.
• Provide RDT Impact assessment for all Krungsri s New Product Initiatives.
• Provide Biz requirement together with Domain expert, data owners and supported functions.
• Support all adhoc requirement.
• Establish and maintain RDT procedure.
• Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
• Provide routine dashboard to all related functions for industry performance.
• 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 for senior / team leader level.
• Well-versed in RDT regulation literacy.
• Well interpersonal skill with IT/Domain Expert/Data Owner.
• Have good understanding in data related skills is a plus (SQL, Analytic, BI tools).
• 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).

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..

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/.

ทักษะ:

Business Development, Statistics

ประเภทงาน:

งานประจำ

• Provide strategic guidance and actionable insights through business intelligence and market and industry analysis to top management in order to achieve sustainable business continuity.
• Looking for a candidate with experience in marketing, campaign execution and analysis, as well as the ability to develop and implement marketing ideas..
• Major Tasks / Responsibilities.
• Lead the development of data solutions and delivering customer and business insights to identify business opportunities or resolve business challenges.
• Translate business problem statements into analysis requirements and work with BUs to define best business outcomes.
• Manage projects, outcomes, resources, proposed proposals or opportunities, and overall execution of the corporate exercises, to ensure effective alignment with organization objectives.
• Advise and provide recommendation on project feasibility studies and project planning, to ensure projects achievement and minimize risks.
• Coordinate with related team and functions to create mutual understanding on expectations, processes, standards, and solutions for corporate strategy activities.
• Bachelors or Masters in Data Analytics, Statistics, Computer Science, Communications or related fields.
• Having experience in retail market is a plus.
• Having experience in marketing or campaign execution is a plus.
• Experience in a major financial with large-scale data or similar program management experience.
• At least 5 years in a management role, with board level change or transformation leadership experience.
• Advanced communications, marketing, or journalism experience.
• Good experience using business intelligence tools and data visualization best practices.
• Strong storytelling and communication skills.
• Strong analytical and problem-solving skills.
• Familiarity with data validation tools.

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).

ประเภทงาน:

งานประจำ

• พัฒนาและปรับใช้โมเดล Machine Learning เพื่อเพิ่มประสิทธิภาพในกระบวนการผลิตและการดำเนินงานของธุรกิจ.
• วิเคราะห์ข้อมูลจากกระบวนการผลิต IOT Sensor และระบบควบคุม เพื่อสร้าง Insight ที่ช่วยลดต้นทุน และเพิ่มความปลอดภัย.
• ออกแบบและสร้าง Generative AI Models สำหรับ Use case ต่างๆ.
• ทำงานร่วมกับทีม Business เพื่อหา Use case ที่เหมาะสมเกี่ยวกับ AI/ML.
• สร้าง Pipelines เพื่อนำเข้าข้อมูลที่มีประสิทธิภาพ.
• ปริญญาตรี สาขา Data Science, Computer Science, Computer Engineer หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 1 -2 ปี.
• Machine Learning, Deep Learning, Generative AI,.
• การจัดการข้อมูลขนาดใหญ่.
• เข้าใจการทำงานของ Visualization Tools,.
• ทักษะการทำงานเป็นทีม.
• การสื่อสารที่ดี.

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:

Business Development, Statistics, Analytical Thinking

ประเภทงาน:

งานประจำ

• PTG Energy is looking for a senior data leader to join our Data team, working closely with the CDO and business leaders to drive enterprise business impact through advanced analytics and customer insights.
• This role focuses on applying statistics, data science, and analytical thinking to solve complex business problems-driving growth, customer engagement, and strategic decision-making across PTG s diversified businesses, including Retail, Food & Beverage, Logistics, Services, and Energy.
• Lead high-impact data and analytics initiatives using customer, transaction, and operational data.
• Partner with senior stakeholders to translate advanced analytics into clear, actionable business decisions.
• Contribute to enterprise data & analytics strategy with a strong execution mindset.
• Identify and support new revenue and business opportunities through data-driven insights.
• 7-12 years of experience in data, analytics, or advanced analytics roles (strategy or consulting background is a plus).
• Strong grounding in statistics, data science, and analytical thinking.
• Proven experience delivering measurable business outcomes using data.
• Comfortable influencing senior leaders while remaining hands-on with analytics thinking.
• Backgrounds in Retail, Consumer, Platform, Consulting, or Financial Services are welcome.
• This is a data leadership role with strong business exposure, not a pure strategy or reporting position.
• This role operates as a senior player-coach and works closely with top management.

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:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Python, SQL, English

ประเภทงาน:

งานประจำ

• Analyze and organize raw data.
• Combine raw information from different sources.
• Designing and building data models to support business requirements.
• Developing and maintaining data ingestion and processing systems.
• Implementing data storage solutions. (databases and data lakes).
• Ensuring data consistency and accuracy through data validation and cleansing techniques.
• Conduct complex data analysis and report on results.
• Explore ways to enhance data quality and reliability.
• Working together with cross-functional teams to identify and address data-related issues.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
• 2-5 years of experience as a data engineer or in a similar role.
• Experience with schema design and dimensional data modeling.
• Experience and knowledge in Python development.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience designing, building, and maintaining data processing systems.
• Experience with orchestration tools e.g. batch and real-time data processing.
• Experience with CICD pipeline data.
• Experience with big data.
• Familiarity with data integration and ETL tools.
• Strong problem-solving and analytical skills.
• Able to speak Thai fluently and basic command in English.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, SQL, Analytical Thinking

ประเภทงาน:

งานประจำ

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0-5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (e.g., star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
• Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehouse technologies (e.g., Snowflake, HANA).
• Experience with programming languages for data manipulation (e.g., Python).
• Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience or knowledge of Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran).
• Experience with programming skills in languages such as Python, or Java.
• English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
• Stay connected with us.
• Learn more at our website.
• Follow us onLinkedIn and X.
• Like us on Facebook.
• Subscribe our channel at YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Statistics, ETL, SQL

ประเภทงาน:

งานประจำ

• Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
• Define and implement data flows through/ and around digital products.
• Participate in data modeling and testing to ensure smooth operations.
• Extract relevant data to solve analytical problems, and ensure development teams have the required data.
• Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
• Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
• Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
• Track analytics impact on business, and provide recommendation for better result.
• Monitor market watch, and provide recommendation to improve efficiency of current projects.
• Professional Knowledge & Experiences.
• Bachelor s Degree in computer science, statistics, or related technical discipline.
• 5+ years experience with advanced data management system and master data management.
• Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
• Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
• Clear understanding in different data domains of operations, customers, etc.
• Ability to quickly learn new technologies.
• Additional Desirable Qualification.
• CORE Competencies.

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.