เงื่อนไขการค้นหา

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

• 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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Express, SQL, Compliance, English

ประเภทงาน:

งานประจำ

• Regional Liaison & Communication:Act as the primary point of contact for the Regional Shopee International Platform & Cross Border (SIP CB) team, participating in daily/weekly sync-ups in English to align on targets and operational constraints.
• Translate regional requirements into actionable local Standard of Process (SOP) for the Sorting Center (SOC) and Regional Center (RC) teams.
• Volume Reconciliation & Data Expertise:Perform daily Volume Reconciliation between local warehouse systems and regional SIP dashboards to identify gaps or "missing parc ...
• Develop and maintain tracking files (using Advanced Excel/SQL) to monitor the end-to-end journey of SIP parcels.
• Analyze discrepancies in "Pending" vs. "Shipped" status and drive root cause analysis for any aged backlog.
• Operational Control & FIFO Management:Work closely with the SOC team to ensure SIP parcels follow strict FIFO (First-In, First-Out) logic to meet international shipping lead times.
• Monitor SLA compliance for outbound parcels, ensuring regional Cross-Border standards are met.
• Continuous Improvement (CI):Identify bottlenecks in the SIP handover process and propose data-backed solutions to improve throughput.
• Assist the Planning Manager in manpower modeling specifically for SIP-heavy periods (e.g., Double Day campaigns).
• Requirements: Able to be based at Wangnoi, Ayutthaya.
• Experience: 1-3 years in Logistics, Supply Chain, or Cross-Border E-commerce operations.
• Language: Strong command of English (both written and verbal) is mandatory for effective coordination with Regional teams.
• Data Skills: Expert level in MS Excel (VLOOKUP, Pivot Tables, Complex Formulas). Experience with SQL or data visualization tools (Power BI/Tableau) is a significant plus.
• Analytical Thinking: Strong ability to reconcile large datasets and identify anomalies quickly.
• Communication: Humble yet assertive communication style; able to collaborate effectively with both frontline staff and regional stakeholders.

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.

ประเภทงาน:

งานประจำ

• Apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
• Build data collection frameworks for structured and unstructured data.
• Build and maintain infrastructure systems such as data warehouses, data lakes and data access application programming interfaces (APIs).
• Define data standards, improve data efficiency catalogues and ensure data quality.
• Responsible for other relating tasks as assigned to align with business policy and build long term business growth.
• Explore opportunity to improve work flow and build healthy environment.
• Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
• In accordance with recruitment policy and hiring standard of AIA (Thailand) Company Limited, after completing the selection process, you are required for criminal background check before joining the company. Your criminal record information will be retained according to the PDPA policy of the company. As per attached link
• https://www.aia.co.th/th/about-aia/privacy/candidate Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives. You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

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.

ทักษะ:

SAP, Linux, Apache

ประเภทงาน:

งานประจำ

• Acting as the key of Cloud technical aspect for the consulting team to provide the technical consulting to both internal and external customers.
• Design Cloud solution architecture in response to the client s requirement.
• Provide advisory consulting service to the client regarding the True IDC Consulting practices.
• Create Cloud technical requirements to the client s migration plan.
• Experience of designing and implementing comprehensive Cloud computing solutions on various Cloud technologies e.g. AWS, GCP.
• Experience in building multi-tier Service Oriented Architecture (SOA) applications.
• Experience in SAP Cloud Infrastructure in term of architecture & design in AWS, GCP public cloud.
• Knowledge of Linux, Windows, Apache, IIS, NoSQL operations as its architecture toth e Cloud.
• Knowledge of Containerization administrative for both Windows and Linux technologies.
• Knowledge of key concerns and how they are addressed in Cloud Computing such as security, performance and scalability.
• Good in customer objective handling & Good in customer presentation skill.
• Nice to have.
• UNIX shell scripting.
• AWS Certified Solution Architect - Associate.
• GCP Certified Solution Architect - Associate.

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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, Python, SQL, English

ประเภทงาน:

งานประจำ

• Planogram Optimization through space planning/management tools.
• Syndicated data (Nielsen, Kantar, Intage, Circana, etc.) management through budget ownership and stewarding agency relationships to drive max value, collaborating with country teams.
• Championing capability building of APAC teams in both POG optimization & Syn data through training and other means.
• Your role is pivotal in transforming data-driven insights into actionable strategies and elevating the commercial team's skills. Primary responsibility areas: Lead strategic KA customer focused Planogram (POG) optimization projects for APAC countries Own and execute end-to-end planogram optimization projects for key APAC retailers using external tools (JDA, Tana power) and internal systems (POG Heatmap).
• Provide analytics-led insights for category management projects, JBPs, Range Reviews, POG proposals, including space-to-sales analysis, assortment optimization, and joint business plan inputs.
• Act as the subject matter expert for space planning and category management, supporting key customer presentations.
• Drive 3P Syndicated Data for APAC countries Own overall APAC syn data budget, ensuring spending are optimized and aligned with strategic priorities.
• Own Area level Syn data reporting, working across Retail Analytics team members to deliver timely dashboards.
• Lead agency relationships at central level across APAC including contract renewals, cost negotiations, and subscription audits. o.
• Drive reporting cadence and own the annual/strategic presentations delivery by agencies, aligned to country & business/portfolio priorities.
• Champion capability building for POG optimization & Syndicated Data across APAC countries Develop and share APAC-wide case studies and best practices, quantifying the business impact (e.g., sales lift, share gain) to build a repository of success stories.
• Design and deliver comprehensive training programs and workshops on POG optimization, category management principles, and the use of analytical tools to Key Account and Marketing teams. o.
• Guide country teams in maximizing value from Syn Data subscriptions, through training and best practice sharing.
• Foster a self-serve analytics culture by championing the use of data in daily decisionmaking across the commercial organization.
• Conduct workshops and "clinics" to provide ongoing support and upskill the commercial organization, fostering a community of POG & Syn Data -literate practitioners.
• Qualifications Minimum bachelor's degree in Business, Analytics, or a related field; Master s degree is a plus.
• Must have min 5-7 years of experience in Planogram Management, Category Management, or Retail Analytics within the FMCG/CPG industry.
• Proven expertise in leading end-to-end POG projects and using specialized software (JDA Space Planning, Tana Power, or equivalent) is mandatory.
• Strong analytical skills with experience in retail data (POS, Syndicated Data).
• Strong financial acumen and budget and Syn Data agency / vendor management experience. Must be proficient with visualization tools like Power BI.
• Excellent communication, presentation, and influencing skills, with a proven ability to train and coach others.
• Experience working in a multi-country APAC environment is highly preferred.
• Fluent in English (verbal & written).
• Preferred experiences: Working knowledge with Python, SQL, SPSS.
• Working in or for countries: Japan, Korea, Taiwan, Australia, Thailand, Philippines, India, Singapore, Malaysia, Indonesia.
• Must haves: Proven experience in creating training materials and delivering effective technical training to non-technical audiences.
• Excellent problem-solving skills and a passion for mastering and teaching complex tools.
• Thrive with an entrepreneurial mindset as an individual contributor.
• Team player and fosters connection by putting people first and building trusting relationships.
• Target country/ Location: This position does not require relocation. Employees from any of the following target locations may apply: Bangkok, Thailand.
• Bangalore, India.
• Jakarta, Indonesia.
• Taguig, PH.
• Worker Type: Permanent Learn more about 3M s creative solutions to the world s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement

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.

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:

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:

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:

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).

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.

ทักษะ:

Accounting, Data Analysis

ประเภทงาน:

งานประจำ

• ปริญญาตรีด้านวิทยาศาสตร์, บัญชี หรือ สาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Accounting, Oil Accounting หรือ ธุรกิจโรงกลั่น / พลังงาน จะได้รับการพิจารณาเป็นพิเศษ.
• Presentation skill, Infographic, Data analysis, Ai & Digital skill.
• ดูแลและบันทึกข้อมูลการเคลื่อนไหวและสินค้าคงคลังน้ำมัน (Oil Movement & Inventory) ทั้งด้านปริมาณและคุณค่า.
• กระทบยอดข้อมูล Oil Accounting ระหว่างระบบปฏิบัติการและระบบบัญชี พร้อมวิเคราะห์ Gain/Loss.
• จัดทำรายงาน Oil Accounting และสนับสนุนการปิดบัญชีประจำเดือน.
• ประสานงานกับหน่วยงานที่เกี่ยวข้อง และสนับสนุนการตรวจสอบจาก Auditor.
• จัดทำรายงานวิเคราะห์ข้อมูล และ Presentation ตามที่ได้รับมอบหมาย.
• ประกันชีวิต / ประกันอุบัติเหตุ.
• ตรวจสุขภาพประจำปี วัคซีนตามฤดูกาล.
• ค่าล่วงเวลา (OT).
• เบี้ยเลี้ยง.
• สวัสดิการแบบยืดหยุ่น (Flexible Benefits).

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!.