เงื่อนไขการค้นหา

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.

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:

Python, SQL, Java

ประเภทงาน:

งานประจำ

• Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
• Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
• Data Transformation: Write data transformation jobs through code to optimize data processing.
• Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
• LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
• Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
• Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
• Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
• Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
• Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems..
• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 3 years of experience in data engineering.
• Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
• Desirable.
• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Visualization Solution: Skills in design and develop dashboard for analytic & insight.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

ทักษะ:

Contracts, Compliance, Finance

ประเภทงาน:

งานประจำ

• Lead Data Product is responsible for owning and driving the strategic design, development, and lifecycle management of enterprise Bank-wide Data Products. The role ensures that data across domains is reliable, governed, high-quality, and aligned with organizational objectives. This position leads to cross-functional collaboration between business, data engineering, governance, and architecture teams to deliver scalable and value-driven Data Products on the enterprise data platform.
• Build Lead complex requirement discovery workshops across multiple business units.
• Translate business processes into domain/sub-domain models and data contracts.
• Define Critical Data Elements (CDEs), canonical models, and transformation logic.
• Ensure metadata completeness, lineage traceability, classification, and compliance readiness.
• Drive adoption of governance standards across the domain.
• Oversee end-to-end delivery from requirements design, mapping, implementation, testing, production.
• Validate pipeline logic, data transformation. And work closely with Data Engineering, application owner teams.
• Serve as the primary decision-maker for the domain s Data Products.
• Conduct presentations, stakeholder alignment, and conflict resolution.
• Work with downstream consumers (analytics, regulatory, risk, finance, operations)..
• Apply now if you have these advantages.
• Bachelor or Higher qualifications within a relevant field (Computer/Data Science, Computer Engineer, Finance, etc.).
• At least 8-12 years in Data Engineering, Business Analyst, Data Analytics.
• At least 3-5 years in the banking industryใ.
• Experience in designing or owning enterprise-grade Data Products.
• Experience working with multiple stakeholders, complex data flows, and cross-functional teams.
• Strong knowledge of modern data platforms (DWH, Data Lake, Lakehouse, Data Mesh).
• Deep understanding of data modeling (Conceptual/Logical/Canonical).
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Ability to read, review, and design mapping sheets, rulebooks, and architecture diagrams.
• Able to validate and challenge data pipeline logic.
• Strong stakeholder leadership and negotiation skills.
• Excellent communication for both technical and non-technical audiences.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Enterprise Bank Wide, Finance, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an 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 minimum in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Strong knowledge of modern data platforms (DWH, Data Lake, Lakehouse, Data Mesh).
• Deep understanding of data modeling (Conceptual/Logical/Canonical)..
• 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:

Finance, SAS, SQL

ประเภทงาน:

งานประจำ

• Bachelor and/or Master Degrees in Computer Science, Information Technology, MIS or related fields.
• Minimum 5 years of working experience in Banking or Financial Institutions.
• Minimum 5 years of working experience in MIS/Business Analysis functions.
• Experience in Consumer Finance products e.g. Credit card, Sale Finance and Personal Loan.
• Good in Database and Data Warehouse Knowledge.
• Strong in programming skill especially SAS, PL/SQL, R, Python.
• Strong in analytic, data visualization, reporting software such as SAS, Tableau, SQL, Business Objects, Cognos and related software.
• Strong comprehensiveness in Microsoft Office such as MS Word, MS Excel, MS Access, and MS PowerPoint.
• 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.
• LINE: Krungsri Career.

ทักษะ:

Statistics, Excel, Python

ประเภทงาน:

งานประจำ

• Bachelor or Master's degree in Statistics, Engineering, or MIS.
• Experience in Excel VBA, Python, Analytics and Modeling.
• Good in negotiation skill, presentation skill, interpersonal skill.
• Good logical thinking, integrity mindset, external focus and results oriented.

ทักษะ:

Product Owner, Tableau, Statistical Analysis

ประเภทงาน:

งานประจำ

• Understand Business Needs & Define Data Requirements
• Meet with business teams to understand their challenges and goals.
• Work closely with the Data Product Owner (Data PO) to translate business needs into data requirements.
• Identify key metrics to measure success.
• Support the Data PO in documenting business needs and ensuring the right data is collected..
• Work with Data & Generate Insights
• Gather, clean, and analyze data from multiple sources to ensure accuracy.
• Identify trends, patterns, and anomalies in the data.
• Use visualization tools (e.g., Tableau) to present findings in an easy-to-understand format.
• Apply statistical analysis and basic machine learning techniques (if required)..
• Collaborate with the Data Squad
• Work side-by-side with the Data Product Owner (Data PO) to ensure data solutions align with business needs.
• Coordinate with Data Engineers to structure and optimize data pipelines.
• Align with Data Governance teams to ensure compliance and data quality.
• Engage with Data Scientists if advanced analytics or AI/ML models are needed for a project.
• Ensure all stakeholders (business teams, IT, and analytics) work together effectively..
• Support Business Users in Making Data-Driven Decisions
• Assist business teams in using self-service dashboards and reports.
• Help non-technical users understand and interpret data insights.
• Provide training and support on analytics tools..
• Present & Communicate Insights
• Summarize findings and insights in clear and structured reports.
• Support the Data PO in preparing presentations and visualizations for business decision-making.
• Share insights in a way that is simple and actionable for business teams..
• Continuously Learn & Improve
• Stay updated on the latest tools and trends in data analytics.
• Improve processes for better data efficiency and accuracy.
• Experiment with new techniques to enhance business impact..
• Apply now if you have these advantages.
• 1-4 years of experience in data analysis, business intelligence, or related fields.
• Experience working in a data-driven environment (data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation) with business stakeholders.
• Data Analysis & Visualization - Experience with Tableau, Power BI, Qlik, or other BI tools.
• SQL Proficiency - Ability to query and manipulate data efficiently.
• Basic Data Processing - Experience with data extraction, cleansing, and transformation.
• Statistical Analysis - Ability to apply basic statistical techniques for insights..
• Exposure to cross-functional teams involving data engineers, data scientists, and business users.
• Experience in banking or financial services is a plus but not mandatory.
• 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 (2 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).

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:

Risk Management

ประเภทงาน:

งานประจำ

• We are seeking an experienced and strategic Responsible AI Specialist to spearhead our commitment to ethical AI. This pivotal role involves developing and implementing our Responsible AI Framework, establishing robust governance procedures, and ensuring compliance with all relevant regulations. You will collaborate across teams to embed ethical principles into the entire AI lifecycle, from development to deployment. As the key authority on responsible AI, you will champion awareness and best practices, shaping our approach to trustworthy and transparent AI systems.
• For the detailed scope of work.
• Develop and implement the Responsible AI Framework in alignment with organizational goals and ethical standards.
• Establish and oversee governance frameworks and procedures for responsible AI practices.
• Collaborate with cross-functional teams to integrate responsible AI principles into AI development and deployment processes.
• Monitor compliance with regulatory requirements and industry standards related to AI ethics and governance.
• Lead training and awareness programs on responsible AI practices for stakeholders across the organization.
• Act as the primary point of contact for inquiries related to responsible AI initiatives and practices.
• Own and maintain AI Model Inventory and Risk framework.
• Apply now if you have these advantages.
• Degree: Master's degree in Ethics, Law, Data Science, IT, or a related field..
• Experience: 7-10 years of experience in AI governance, compliance, or ethics, with a focus on responsible AI practices in banking and financial services..
• Strong understanding of AI ethics, governance, and regulatory frameworks.
• Excellent leadership and management skills, with the ability to influence and drive change across the organization.
• Strong analytical and critical thinking skills to assess AI systems for ethical considerations.
• Excellent communication and interpersonal skills to engage with diverse stakeholders, including technical teams and executive leadership.
• Experience in risk management and compliance, particularly in the context of AI technologies..
• 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 (2 days in office per week).
• Unbelievable benefits such as attractive bonuses and many more..
• Apply now before this role is close. **.
• Please note that we will get in touch with shortlisted candidates only..
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINKEDIN: Krungsri.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• 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..
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.

ประเภทงาน:

งานประจำ

• Work with management to prioritize business strategies and information needs.
• Design analysis report to track and monitor performance and validate Accuracy of Data.
• Provide sales, marketing, product, and customer analysis toward marketing calendar / business situation / campaign performance in various business measurements combining with consumers research for supporting business strategy.
• Understand, interpret data and provide business insight in order to support management to develop strategy / plan to support new business opportunity.
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Leverage analytics and data science teams for actionable insights, algorithms, test designs and model validation.
• Present insights to executive leaders/ business partners to drive strategic improvement and support key business decisions.
• Educate cross-functional parties and build awareness on how to interpret the data and analytics to drive decision making that will move the business forward.
• At least 7 years working experience in related field (having working experience in retail or e-commerce is a plus).
• Basic knowledge of BI/ App analytics platforms such as Google Analytics, Firebase, AppsFlyer, Adobe Marketing Cloud, Tableau, Power BI, Data Studio, etc.
• SQL proficiency or equivalent.
• Good knowledge of computer literacy especially MS Excel and PowerPoint.
• Excellent command of English and presentation skill, Analytical and logical thinking is a must.

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:

Salesforce, Compliance, Data Warehousing, English

ประเภทงาน:

งานประจำ

• Support the sales cycle, covering the technical architecture, data strategy, and AI capabilities of Data Cloud and Agentforce.
• Design, build, and present hands-on Proof of Concepts (POCs) and demonstrations for Data Cloud and Agentforce, showcasing their power and viability to technical stakeholders.
• Explain the technical and business benefits of the Salesforce Customer 360 platform, with a strong focus on Data Cloud and Agentforce, to IT and technical stakeholders.
• Understand, assess, and define technical customer requirements, focusing on AI, data management, and operational data utilisation.
• Advise CIO/CTO/CXO-level contacts and their IT teams on adopting cloud architectures, particularly how to leverage unified customer data and generative AI effectively.
• Answer deep technical questions related to the capabilities and integration of Salesforce Data Cloud, AI, and Agentforce solutions.
• Establish close relationships with customer technical stakeholders and act as a trusted advisor on data and AI strategy.
• Respond to RFPs, focusing on the technical components of data, AI, and integration.
• Coach and mentor fellow pre-sales colleagues on the technical aspects of Data Cloud and Agentforce.
• Be a thought leader on specific technology topics like Generative AI and Data Strategy.
• Drive innovation projects with impact (POCs, MVPs).
• Maintain awareness of technical best practices related to data governance, security, and compliance.
• Proven track record of running hands-on, successful technical Proof of Concepts (POCs) for complex AI and/or Data solutions.
• Relevant background and deep technical expertise in AI, Machine Learning, and/or Advanced Data Solutions (e.g., CDP, Data Warehousing, Data Lake, etc.).
• Fluent in English and local language (Thai).
• Experience in pre-sales, e.g., solution engineering or technical architecture.
• Multi-year experience in software, system, or enterprise architecture disciplines.
• Strong understanding of data integration patterns, data synchronisation, and data volume considerations in a cloud environment.
• Good understanding of the architectural principles of cloud-based platforms, including SaaS, PaaS, multitenancy, and multi-tiered infrastructure.
• General interest in staying at the forefront of current technology developments and keeping knowledge up to date.
• Direct experience with Salesforce Data Cloud, Agentforce, Marketing Cloud, or Service Cloud (Agentforce) solutions.
• Experience with Large Language Models (LLMs) and Generative AI architectures.
• Salesforce Certified Architect or relevant Data/AI certifications (e.g., AWS, Azure, GCP Data/ML certifications).
• Knowledge of relevant data privacy and compliance requirements is a plus.
• Knowledge of data architecture principles, including data modeling, ETL/ELT, data governance, and data quality.
• Unleash Your Potential.
• When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world.
• Accommodations.
• If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
• Posting Statement.
• Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

ประเภทงาน:

งานประจำ

• Conceptualizing and executing trade promotions and rolling out impactful in-store campaigns in collaboration with marketing and sales teams.
• Developing and implementing trade marketing strategies to increase brand visibility and drive sales.
• Collaborating with sales teams to identify market trends and opportunities for product promotion.
• Creating and executing trade marketing campaigns and promotions to support product launches and achieve sales targets.
• Monitoring and analyzing sales data to evaluate the effectiveness of trade marketing initiatives.
• Building and maintaining strong relationships with key trade partners and distributors.
• Coordinating with cross-functional teams, including marketing, sales, and supply chain, to ensure seamless execution of trade marketing activities.
• Analyzing and recommending brands/channel combinations to maximize sell-out and profitability.
• Bachelor s degree in marketing, business administration, or a related field.
• Previous experience in trade marketing or sales, preferably in the consumer goods industry.
• Strong analytical skills and ability to interpret market data and trends.
• Proficiency in Microsoft Excel.

ทักษะ:

Research, Risk Management, Finance

ประเภทงาน:

งานประจำ

• รวบรวม บริหารจัดการ และบูรณาการข้อมูลจากแหล่งต่าง ๆ ทั้งข้อมูลภายนอก (Economic Outlook, Macro & Industry Indicators, Property Market Data) และข้อมูลภายในองค์กร (Corporate Performance, Project Performance, Process & Operational Data).
• วิเคราะห์ข้อมูลเชิงลึกเพื่อสนับสนุนการจัดทำ Corporate Strategy / Risk Management ระยะสั้น-ยาวของ SC Asset.
• ประเมินแนวโน้มเศรษฐกิจมหภาค สภาวะตลาดอสังหาริมทรัพย์ และปัจจัยเชิงกลยุทธ์ที่ส่งผลต่อทิศทางธุรกิจขององค์กร.
• พัฒนา Framework, Model, Report และ Dashboard เพื่อใช้ในการวิเคราะห์เชิงกลยุทธ์ การติดตามผลการดำเนินงาน และการประเมินประสิทธิภาพองค์กร.
• สังเคราะห์ข้อมูลจากหลายมิติ เพื่อสร้างมุมมองแบบองค์รวม.
• จัดทำรายงาน Insight และ Recommendations เพื่อสนับสนุนการตัดสินใจของคณะผู้บริหาร และ Business Units.
• ทำงานร่วมกับหน่วยงานภายในที่เกี่ยวข้อง เช่น Strategy Planning, Finance, Business Development, Sales & Marketing และ Business Units อื่น เพื่อสนับสนุนการวิเคราะห์ข้อมูลของแต่ละ Business Units นั้นๆ เอง.
• ทำงานร่วมกับหน่วยงานภายนอกที่เกี่ยวข้องกับงาน research ทั้งส่วน market survey, focus group, และการได้มาซึ่งข้อมูลจากภายนอกทั้งหมด.
• จัดเตรียมเอกสารวิเคราะห์ และสรุปข้อมูลในรูปแบบที่เหมาะสมสำหรับผู้บริหารระดับสูง.
• นำเสนอผลการวิเคราะห์ Insight และข้อเสนอแนะเชิงกลยุทธ์ต่อคณะผู้บริหาร คณะกรรมการ และคณะทำงานที่เกี่ยวข้อง.
• ทำหน้าที่เป็นที่ปรึกษาด้าน Data Analytics & Research ให้กับทีม Strategy Planning และหน่วยงานภายใน.
• สนับสนุนการพัฒนา Data-driven Culture ภายในองค์กร.
• ปริญญาตรีหรือโท สาขาเศรษฐศาสตร์, สถิติ, Data Science, บริหารธุรกิจ, การเงิน, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ด้าน Data Analytics, Research, Strategic Analysis หรือ Corporate Planning อย่างน้อย 3 ปี.
• มีความเข้าใจเชิงลึกด้านเศรษฐกิจมหภาค ตลาดอสังหาริมทรัพย์ และปัจจัยที่เกี่ยวข้องกับธุรกิจพัฒนาอสังหาริมทรัพย์.
• มีความเชี่ยวชาญในการวิเคราะห์ข้อมูลและใช้เครื่องมือที่เกี่ยวข้อง เช่น Excel, SQL และ Business Intelligence Tools (Power BI, Tableau หรือเทียบเท่า).
• มีประสบการณ์ในการพัฒนา Insight และจัดทำ Recommendation สำหรับผู้บริหารระดับสูง.
• มีทักษะการสื่อสาร การนำเสนอ และการเล่าเรื่องด้วยข้อมูล (Data Storytelling) ในระดับผู้บริหาร.
• สามารถทำงานข้ามสายงาน (Cross-functional) และบริหารจัดการหลายโครงการพร้อมกันได้.
• มีภาวะผู้นำ ความรับผิดชอบสูง และสามารถทำงานได้อย่างอิสระภายใต้กรอบของเป้าหมาย และกฏระเบียบบริษัท.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

AutoCAD, Visio, English

ประเภทงาน:

งานประจำ

• Responsible for planning preventive maintenance schedules for the electrical system.
• Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
• 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
• 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
• To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
• Review PUE, cost saving energy and report.
• Measured Efficiency air system and record annual report.
• Responsible for implementing Electrical such as MU, TR, MDB, GEN, UPS, RECT, BATT, ATS.
• Bachelor degree of Engineering, Electrical engineering or related field.
• More than 5 years of experience in maintenance of electrical systems such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS: implement and support electrical systems in buildings or Data Centers.
• At least 1 years experience in designing electrical systems (such as RMU, TR, MDB, GEN, UPS, RECT, BATT, ATS). implement, and support for electrical systems in building.
• Able to use the program AutoCAD, Visio.
• Able to work as a team and work in and standby on call on holiday.
• Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
• Proficiency in English communication is beneficial for both reading and writing.
• Work Location: TrueIDC - Bangna Site (KM26).

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Python, SQL, Database Administration, English, Thai

ประเภทงาน:

งานประจำ

• Guide and train new customers to confidently use our system.
• Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
• Analyze and manage customer data to ensure readiness for real-time use.
• Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
• Travel and visit customer sites.
• Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
• Proficiency in Excel and SQL; Python skills are a plus.
• Excellent communication skills in both Thai and English.
• Adaptable, quick to learn, and able to work under pressure.
• Educational background in IT, Computer Science, or related fields is preferred.
• Allows you to apply your skills in data, technology, and customer service.
• Supports your personal and professional development.

ประเภทงาน:

งานประจำ

• We're committed to bringing passion and customer focus to the business.
• Collaborate across the business to understand IT and business constraints Work with product team and data engineer to plan and design data collection strategies, procedures and policies.
• Understand new data sources and process pipelines, and catalog/document them.
• Help to create data pipelines for more efficient and repeatable data science projects.
• Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA).
• Construct and test hypothesis regarding an underlying mechanic of business process.
• Apply various ML and advanced analytics techniques to perform classification or prediction tasks.
• Testing of ML models, such as cross-validation, A/B testing, bias and fairness.
• Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!.

ทักษะ:

Accounting, English

ประเภทงาน:

งานประจำ

• Bachelor s degree of Business Administration business, Financial, Economics, Accounting.
• Experience in Banking industry at least 1 years.
• Good command of English.
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..