เงื่อนไขการค้นหา

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..

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Warehousing, Compliance, Kafka

ประเภทงาน:

งานประจำ

• Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation.
• Guide organizations in adopting cloud-native and hybrid data solutions (AWS, Azure, GCP, Snowflake, Databricks).
• Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance.
• Shape long-term data strategies that foster flexibility, innovation, and interoperability across platforms.
• Data Governance & Advisory.
• Lead the development of governance frameworks and policies that ensure data security, compliance, and ethical AI use.
• Provide guidance on the creation and maintenance of data dictionaries, metadata management, and data cataloging, ensuring consistency, accuracy, and alignment with industry best practices.
• Advise on data quality management strategies, ensuring robust data lineage, accuracy, and reliability across the organization.
• Define governance roadmaps that support AI adoption while maintaining compliance with GDPR, CCPA, HIPAA, and other regulations.
• Cloud & Emerging Technologies.
• Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage.
• Advise on implementing real-time streaming solutions (Kafka, Kinesis, Pub/Sub) to support AI-driven analytics.
• Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines.
• Guide organizations in evaluating and adopting graph databases, NoSQL solutions, and modern data integration tools.
• Collaboration & Leadership.
• Act as a trusted advisor to C-level executives and business leaders, translating complex data challenges into strategic initiatives.
• Collaborate with data scientists, engineers, and business analysts to enhance data accessibility and usability.
• Drive innovation in data architecture, ensuring organizations remain competitive and AI-ready.
• Lead assessments of emerging data technologies and best practices to future-proof organizational data strategies.
• What You'll Bring.
• Required Skills & Qualifications.
• Education: Bachelor s or Master s in Computer Science, Data Science, Information Systems, or a related field.
• Experience: 10-16 years in data architecture, data engineering, or cloud-based data solutions.
• Flexibility to travel within SEA/Asia Pacific region.
• Deep knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
• Expertise in data governance, master data management (MDM), and compliance frameworks.
• Strong understanding of AI-ready data architectures and their impact on feature engineering and ML workflows.
• Ability to guide organizations on ETL/ELT strategy, data integration, and workflow automation.
• Familiarity with industry-standard data architecture frameworks (TOGAF, Zachman).
• Experience advising on real-time data streaming (Kafka, Kinesis, Pub/Sub).
• Preferred Qualifications.
• Certifications in cloud data platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Professional Data Engineer).
• Experience advising on Data Mesh and Data Fabric architectures.
• Knowledge of Graph databases and NoSQL solutions (MongoDB, Neo4j, Cassandra).
• Background in data ethics, responsible AI, and AI governance frameworks.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

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:

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).

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:

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).

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:

Express

ประเภทงาน:

งานประจำ

• Report Creation: Prepare and compile summary reports for management, presenting key workforce data insights in a clear and concise manner.
• Data Support: Assist in gathering, cleaning, and organizing data to support accurate reporting and dashboard updates.
• Documentation and Coordination: Maintain data-related documentation and coordinate with the data analyst to ensure timely and accurate reporting for decision-making.
• Requirements: Bachelor s degree in Business, Data analytics, Operations Management, or a related field.
• Fresh grad are welcome.
• Proficiency in creating professional summary reports using Google Sheets & Slides.
• Strong ability to ensure data accuracy and present findings clearly and effectively.
• Capable of managing multiple tasks, tracking data updates, and adhering to tight deadlines.
• Ability to convey data insights effectively to management and collaborate with the data analyst.

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:

Legal, English

ประเภทงาน:

งานประจำ

• Partner with your assigned business unit(s) and ensure a deep understanding of business strategy and implement high-quality HR practices within the team.
• Consult with line management and provide HR guidance when appropriate, including talent development, performance management, and employee relations.
• Proactively assess team and employee development needs, make recommendations, and implement appropriate solutions.
• Manage employee disciplinary issues and provide advice to business leaders on ways to manage each case.
• Integrate and partner with HR colleagues in the Learning & Development, Compensation & Benefits, HR operations, and other HR teams to implement solutions.
• Drive employee engagement agenda for the employees in your business unit(s).
• Be the ambassador of TikTok organizational culture.
• Plan and implement organizational cultural activities.
• Bachelor s degree or above.
• 3+ years of Human Resources Business Partner in a high-growth company.
• Current or prior experience in technology, internet, or digital platform organizations, supporting fast-growing, large-scale operations in high-ambiguity legal or regulatory environments.
• Proven experience owning end-to-end HR support for large employee populations (100+ employees), including leading or acting as a key contributor to enterprise-level performance management processes (e.g. performance reviews, calibration, PPRA-type forums) across multiple markets, as well as complex organizational and workforce changes at scale.
• Excellent written and spoken business English, used as the primary working language in regional stakeholder and decision-making forums.

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.

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.

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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Automation, SAP, SQL

ประเภทงาน:

งานประจำ

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

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.

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:

Express, SQL, Excel, English

ประเภทงาน:

งานประจำ

• Analyze internal and external data (generally with SQL, Excel, Python).
• Apply structured framework to estimate hard-to-find information and deliver original insights.
• Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
• Translate complex data analysis into accessible business-focused reports and recommendations.
• Present results to management on a regular basis.
• Serving as in-house consultant for data-driven solutions.
• Collaborate with stakeholders to build analytics capabilities.
• Maintain data pipelines, dashboards and automations.
• Requirements: Bachelor degree or higher in a relevant field of study.
• Experience working with one or more languages for querying and analysis (e.g. SQL, Python). SQL is minimum required.
• Experience developing automation scripts in Python with Linux environment.
• Strong analytical skills and must be comfortable with analysis of quantitative data.
• Good structural thinker.
• Experience working with multiple stakeholders across various divisions.
• Satisfactory understanding in English.
• Self-driven with willingness to learn and improve.
• Strong sense of responsibility and ability to work in a fast-paced and growth changing environment.
• Experience working with unstructured data is not necessary but is a plus.

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:

Risk Management

ประเภทงาน:

งานประจำ

• This position is responsible for supporting the Team Lead in establishing and maintaining governance frameworks and operational procedures for the Bank s Enterprise Customer Master Platform. This role serves as both the business project manager and business application owner for the platform, ensuring that customer data governance is embedded into the system s design, implementation, and ongoing operations in alignment with the Bank s enterprise data governance framework.
• For the detailed scope of work.
• Assist the VP in developing and maintaining governance frameworks, procedures, and operational processes for the Enterprise Customer Master Platform.
• Ensure all platform-related processes adhere to the Bank s data governance standards and applicable regulations (e.g., PDPA, NCSC, Bank of Thailand requirements)..
• Serve as the business project manager for the Enterprise Customer Master Platform, responsible for project planning, execution, risk management, and delivery.
• Coordinate across business units, IT, and vendors to ensure project milestones, deliverables, and budgets are met.
• Track project progress, resolve issues, and provide timely updates to the VP and relevant governance committees..
• Act as the primary liaison between business users and technical teams for platform-related requirements and enhancements.
• Consolidate and prioritize comprehensive business requirements across business units.
• Maintain a deep understanding of the platform s functionalities, data model, and integration points with other systems.
• Govern customer data within the platform in accordance with approved frameworks and operational processes during both implementation and post-go-live operations.
• Ensure platform changes, upgrades, and data-related processes are reviewed and approved under governance controls..
• Facilitate user training and communication on platform governance and functionalities.
• Represent the platform in relevant governance forums and working groups.
• Promote consistent data standards and best practices across all business units interacting with the platform.
• Apply now if you have these advantages.
• Bachelor in Information Management, Business Administration, Information Technology, or related field (Master s degree preferred).
• Professional certification in Project Management (e.g., PMP, PRINCE2), Data Governance (e.g., CDMP), or Business Analysis (e.g., CBAP) is an advantage..
• Strong understanding of customer master data management principles and data governance frameworks..
• Minimum 8-10 years of experience in enterprise data management, business analysis, or project management, ideally within the banking or financial services industry..
• Proven experience as a business application owner or project manager for enterprise-scale platforms..
• Familiarity with PDPA and other relevant data protection requirements..
• Demonstrated ability to work with cross-functional teams and manage multiple stakeholders.
• Corporate Banking knowledge: Enterprise Customer Data Management, Core banking, Customer Consent, DSR.
• Familiarity with banking operational risk and regulatory compliance frameworks for DSIB institutions.
• 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:

Excel

ประเภทงาน:

งานประจำ

• วุฒิการศึกษาระดับปริญญาตรี สาขาวิชาบริหารธุรกิจ การเงิน การตลาด.
• มีความสามารถติดต่อประสานงาน ระหว่างหน่วยงาน ทั้งภายใน และ นอกองค์กรได้.
• มีความรับผิดชอบต่องานที่ได้รับมอบหมาย.
• มีความสามารถในการแก้ไขปัญหาเฉพาะหน้าได้ดี และ มีมนุษยสัมพันธ์ที่ดี.
• มีความกระตือรือร้น อดทน คล่องแคล่ว ในการทำงาน.
• มีการบริการจัดการ การวางแผนงานที่ดี.
• มีความสามารถใช้โปรแกรม Word, Excel, Powerpoint และ มีความสามารถหาข้อมูล เช็คข้อมูลทาง Internet ได้ดี.