เงื่อนไขการค้นหา

ทักษะ:

Compliance, Python, SQL

ประเภทงาน:

งานประจำ

• Lead System Analyst/Senior Data Engineer assigns to work on IECC Project and Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
• To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
• To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
• To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
• Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
• Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
• Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
• Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
• Ensure security and compliance: access control, PII handling, encryption, and audit logging.
• Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
• Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
• Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
• Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
• Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
• Promote data literacy and a data-driven culture through cross-functional collaboration..
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
• Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
• Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
• Proven track record improving pipelines via automation, testing, and performance tuning.
• Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
• Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Financial services, 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 (2 days minimum 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:

Statistical Analysis, SQL, Excel

ประเภทงาน:

งานประจำ

• Develop and enhance business intelligence solutions, directly contacting stakeholders and top management to transform data into actionable insights.
• Establish and maintain robust relationships with stakeholders, ensuring alignment with business goals and optimally communicating updates, feedback, and addressing concerns.
• Complex Data Analysis and Operational Excellence Analyze large, critical data sets and conduct sophisticated statistical analysis to derive meaningful insights.
• Build and operationalize processes to ensure timely data loading and maintain data accuracy, using tools such as SQL, Snowflake, Microsoft Excel, Tableau, and Microsoft Power BI.
• Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
• Insight Generation and Continuous Improvement Conduct trend analysis to detect patterns and anomalies in service metrics, performing root cause analysis and driving continuous improvement initiatives.
• Track and analyze mean time metrics for incident, case, and alarm handling, providing actionable insights for operational excellence and customer experience.
• Optimize resource utilization through regular analysis of system capacity, developing and implementing risk management strategies for individual products.
• Collaboration and Communication Facilitate review forums to unify stakeholders and drive collective decision-making, providing regular reports to key customers to communicate current status and drive timely actions.
• Liaise with global development teams to troubleshoot, analyze, and investigate performance-related issues in the infrastructure.
• Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience in data analysis or a related field.
• Proficiency in data analysis tools i.e. SQL, python, R, and Tableau/Power BI.
• Strong analytical and problem-solving skills with focused attention to detail.
• Strong organization and project management skills.
• Superb communication and presentation skills.
• Ability to communicate complex data insights optimally to stakeholders.
• Preferred: Experience with Datadog or Big Panda.
• Experience with data modelling.
• Experience in tech industry.
• LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ทักษะ:

SQL, Tableau, Power BI

ประเภทงาน:

งานประจำ

• Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
• Statistical Knowledge.
• Mathematical Ability.
• Programming languages, such as SQL.
• Analytic tools such as Tableau, Power BI.
• TeraData, Big data Hadoop Tech, Cloud Tech.
• Bachelor Degrees in MIS, Business, Economic, Computer Science or related field.
• At least 2-3 year of experience with Data Analysis.
• Experienced in designing and architecture BI / Data Analytics Solutions is preferred.

ทักษะ:

Power BI, Tableau, Finance, English

ประเภทงาน:

งานประจำ

• Collect, clean, and analyze data from sales, marketing, and CRM systems.
• Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
• Monitor and evaluate campaign results, product performance, and sales trends.
• Provide data-driven insights to support marketing strategies and business planning.
• Collaborate with sales, finance, and product teams to align business insights.
• Ensure data accuracy and consistency across all reports.
• Bachelor s degree in Business Analytics, Data Science, Statistics, Economics, or related field.
• At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
• Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
• Experience with CRM and marketing analytics tools is a plus.
• Analytical, detail-oriented, and comfortable presenting insights to management.
• Good command of English and Thai, both written and spoken.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Big Data, Good Communication Skills, Scala

ประเภทงาน:

งานประจำ

• You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development.
• You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents.
• You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements.
• Outputs include workshop sessions and documentation including mapping documents.
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline.
• Skills and attributes for success.
• 2-4 years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Ability to produce client ready solution, business understandable presentations and good communication skills to lead and run workshops.
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka.
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools.
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models.
• Ideally, you ll also have.
• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Demonstrable Cloud experience with Azure, AWS or GCP.
• Configuration and management of databases.
• Experience with big data tools such as Hadoop, Spark, Kafka.
• Experience with AWS and MS cloud services.
• Python, SQL, Java, C++, Scala.
• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
• What working at EY offers.
• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that s right for you.
• about EY
• As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
• If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
• Join us in building a better working world. Apply now!.

ทักษะ:

Assurance

ประเภทงาน:

งานประจำ

• Develop and analyze Enterprise Service revenue to understand Product and Service trends within the AIS Group, ensuring that revenue collection, promotion packages, and new services are properly executed according to the company s business conditions.
• Identify suitable QA methods to reduce revenue loss and prevent errors in the Line Operation's work, sharing knowledge to strengthen revenue assurance.
• Verify the completeness and accuracy of service calculations, promotion packages, and offerings for corporate customers.
• Review the calculation of Postpaid Voice and IDD services, as well as IR services in the RBM system, ensuring they are correct, complete, and in line with the rates and conditions set by the company, with no abnormalities that could lead to revenue loss (Real Loss/Opportunity Loss).
• Communicate, coordinate, and follow up on issues causing revenue loss, identify the root causes, and work with relevant departments to resolve the problems, reducing revenue loss, particularly in Voice services.
• Analyze data from various sources within the scope of responsibility using data analytics skills, reflecting trends, performance, efficiency, and effectiveness of Products and Services. Identify abnormalities impacting revenue loss (Real Loss/Opportunity Loss & Fraud), and conduct audits and monitoring.
• Prepare analysis reports to support management strategies and assess risks in various areas.
• Perform other duties as assigned by the supervisor..

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ERP, SQL, Power BI, Data Analysis, Business Statistics / Analysis, Thai, English

ประเภทงาน:

งานประจำ

• Participate with customer and business users to gather requirements and summarize key points for project development.
• Integrate data from various business systems/sources (e.g., ERP, CRM, Other) to ensure comprehensive and accurate analysis.
• Design and develop ETL (Extract, Transform, Load) processes to extract data from various sources.
• Prepare the data so it is ready for analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Design, Develop and implement data models to serve customer requirement.
• Design, Build and maintain dashboards and reports that visualize key metrics and performance indicators..
• Bachelor Degree in Data Analytic, Computer Engineering, Computer Science, MIS, Statistics or related fields.
• At least 2-3 years experience in Data Analysis or Business Analysis.
• Proficiency in data tools such as SQL, Excel, BI (Power BI and Tableau), or Python.
• Experience in ERP, CRM, Cloud Technology, Software Development is preferred.
• Very good problem solving, negotiation, presentation and communication skill.
• Good written and verbal English communication.
• A collaborative team player with effective communication abilities..

ทักษะ:

Internal Audit, Assurance, Risk Management, English

ประเภทงาน:

งานประจำ

• Manage and lead a team of data analysts in applying advanced analytics to audit and assurance activities.
• Drive the use of AI/ML techniques (e.g., anomaly detection, behavioral modeling, predictive risk scoring) to identify suspicious or unusual patterns of activity.
• Collaborate with auditors to integrate data-driven insights into audit planning, execution, and reporting.
• Promote innovation by introducing new tools, methods, and technologies into the audit analytics function.
• Act as a trusted advisor to senior management on emerging risks, fraud trends, and digital transformation in audit.
• Support the Department Head in preparing Thai and English versions of Monthly Reports and Quarterly Reports for SMT, the Audit Committee, and others.
• Timely perform ad-hoc assignments (projects or special audits) assigned by the Department Head or higher. This requires holistic, initiative, innovative, and analytical skills to perform the assigned tasks timely, with good quality and added value.
• People Development - develop and improve the skills, knowledge, and expertise of team members by providing them with appropriate training courses and advice during work review.
• Support the Department Head by serving as an expert in data analytics using modern auditors' tools and providing knowledge of various data sources for the Internal Audit Group.
• Bachelor s degree in business, mathematics, computer science, or management information systems.
• 8 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions.
• Strong quantitative, analytical, data intuition, and problem-solving skills, and proficiency in data analytics techniques.
• Hands-on knowledge of AI/ML applications in risk, fraud, or audit contexts.
• Familiarity with audit methodologies, risk frameworks, and financial industry regulations.
• Able to manage a team under pressure and deadlines.
• Proficient in computer literacy, especially tools for data analytics.
• Good command of English, both written and spoken.
• Talent Acquisition Department Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• 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:

SAP, Excel, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลความต้องการของตลาด (Demand) และแนวโน้มการขาย เพื่อจัดทำ Demand Forecast ที่แม่นยำ.
• รวบรวมและตรวจสอบข้อมูลจากฝ่ายการขาย การตลาด และฝ่ายวางแผนการผลิต เพื่อให้การคาดการณ์สอดคล้องกัน.
• วางแผนและควบคุมปริมาณสินค้าคงคลัง (Inventory) ให้เหมาะสมกับความต้องการของตลาด.
• ประสานงานกับฝ่ายผลิต ฝ่ายจัดซื้อ และฝ่ายโลจิสติกส์ เพื่อให้มีสินค้าพร้อมจำหน่ายตามแผน.
• วิเคราะห์ความเสี่ยงและโอกาสด้านอุปสงค์และอุปทาน พร้อมเสนอแนวทางแก้ไขเมื่อมีความคลาดเคลื่อนระหว่างแผนและความเป็นจริง.
• จัดทำรายงานการคาดการณ์ยอดขาย สถานะสินค้า และประสิทธิภาพการวางแผนเพื่อเสนอผู้บริหาร.
• ปรับปรุงกระบวนการวางแผนด้วยการใช้เครื่องมือ Data Analytics และระบบ SAP.
• วุฒิปริญญาตรีขึ้นไป สาขา Supply Chain & Logistics Management, Business Analytics, Economics, Engineering หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Demand & Supply Analyst, หรือ Supply Chain Data Analyst อย่างน้อย 3-5 ปี.
• มีทักษะในการวิเคราะห์ข้อมูล (Excel, Power BI, Python).
• มีความเข้าใจระบบ ERP (เช่น SAP, Oracle).

ทักษะ:

SAP, Excel, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์ข้อมูลความต้องการของตลาด (Demand) และแนวโน้มการขาย เพื่อจัดทำ Demand Forecast ที่แม่นยำ.
• รวบรวมและตรวจสอบข้อมูลจากฝ่ายการขาย การตลาด และฝ่ายวางแผนการผลิต เพื่อให้การคาดการณ์สอดคล้องกัน.
• วางแผนและควบคุมปริมาณสินค้าคงคลัง (Inventory) ให้เหมาะสมกับความต้องการของตลาด.
• ประสานงานกับฝ่ายผลิต ฝ่ายจัดซื้อ และฝ่ายโลจิสติกส์ เพื่อให้มีสินค้าพร้อมจำหน่ายตามแผน.
• วิเคราะห์ความเสี่ยงและโอกาสด้านอุปสงค์และอุปทาน พร้อมเสนอแนวทางแก้ไขเมื่อมีความคลาดเคลื่อนระหว่างแผนและความเป็นจริง.
• จัดทำรายงานการคาดการณ์ยอดขาย สถานะสินค้า และประสิทธิภาพการวางแผนเพื่อเสนอผู้บริหาร.
• ปรับปรุงกระบวนการวางแผนด้วยการใช้เครื่องมือ Data Analytics และระบบ SAP.
• วุฒิปริญญาตรีขึ้นไป สาขา Supply Chain & Logistics Management, Business Analytics, Economics, Engineering หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Demand & Supply Analyst, หรือ Supply Chain Data Analyst อย่างน้อย 3-5 ปี.
• มีทักษะในการวิเคราะห์ข้อมูล (Excel, Power BI, Python).
• มีความเข้าใจระบบ ERP (เช่น SAP, Oracle).

ทักษะ:

Industrial Engineering, Finance, Project Management

ประเภทงาน:

งานประจำ

• Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

Excel, Problem Solving, English

ประเภทงาน:

งานประจำ

• Translate complex, unstructured problems into clear strategic options.
• Build CEO/Chairman-ready materials to guide major business decisions.
• Synthesize insights from PMO, BI, and BD into integrated recommendations.
• Lead competitive benchmarking, growth modeling, and scenario analysis.
• Own the strategic logic behind major O2O decisions and initiatives.
• Act as a thought partner to senior leaders across the O2O organization.
• Bachelor s degree or higher in Business, Economics, Engineering, or related fields from a top-tier university.
• 2-4 years of experience in management consulting or corporate strategy.
• Preferred titles: Consulting Analyst / Associate Consultant / Junior Consultant / Business Analyst.
• Preferred firms: Bain & Company, Roland Berger, Kearney, EY-Parthenon, Strategy&, Oliver Wyman, etc.
• Strong business acumen and structured problem-solving skills.
• Excellent communication and slide development skills (PowerPoint is a must).
• Advanced Excel skills; experience with financial models or business cases is a plus.
• Fluent in English (verbal & written) and Thai.
• Hypothesis-driven thinking (consulting-grade problem solving).
• Strategic modeling and data interpretation.
• Storytelling via structured, executive-level presentations.
• Cross-functional influence and stakeholder alignment.
• Strong business intuition backed by analytical rigor.
• Proficiency in Excel, PowerPoint; exposure to eCom or retail is a plus.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

System Security, Good Communication Skills, Project Management

ประเภทงาน:

งานประจำ

• Follows operational processes and ensures that IT services and infrastructure meets operational service level agreements (SLAs).
• Provides non-routine technical support for computer / IT data center operations, including troubleshooting software and hardware failures.
• Performs installation, repair, and preventative maintenance of computer systems and related technologies.
• Tracks and records system performance and utilization metrics.
• Analyses IT systems to identify areas for improvement and developing solutions to optimize business processes and IT operations.
• Participates in the development of IT infrastructure projects.
• Maintains access control, data integrity, and file system security for computer / data center environment.
• Performs any other duties as required by the IT Operations management team.
• To thrive in this role, you need to have: Developing knowledge of data center applications and systems.
• Developing proficiency in hardware and software systems like servers, networks and databases.
• Ability to collect and analyse system performance data to identify issues and improve IT systems.
• Ability to effectively communicate technical information to non-technical people.
• Good communication skills, both written and verbal.
• Good analytical and problem-solving skills to troubleshoot issues and devise efficient solutions.
• Developing project management skills.
• Academic qualifications and certifications: Bachelor's degree or equivalent in Computer Science or Information Technology or related field.
• Relevant vendor certifications such as ITIL foundation.
• Additional beneficial certifications such as CNET and CDCDP etc.
• Required experience: Moderate level experience in data center applications, as well as server and non-desktop computer hardware, software, systems and other resources within a data center setting.
• Moderate level experience in a similar role, with strong understanding of IT and data center operations.
• On-site Working About NTT DATA
• NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

ทักษะ:

Research, ETL, Automation

ประเภทงาน:

งานประจำ

• Lead the design and development of data architecture, ensuring scalability, security, and alignment with business strategy.
• Oversee the collection, transformation, and integration of data from multiple internal and external sources.
• Conduct advanced research and troubleshooting to address complex business and technical problems.
• Design, build, and optimize data pipelines and ETL processes to handle large-scale and real-time data.
• Implement automation solutions to minimize manual intervention and improve data efficiency.
• Provide technical leadership and mentorship to junior engineers, ensuring best practices in coding, testing, and deployment.
• Collaborate with cross-functional stakeholders including Data Scientists, Analysts, and Business Leaders to deliver actionable insights.
• Evaluate and recommend new tools, frameworks, and technologies to enhance data engineering capabilities.
• Job SpecificationBachelor s Degree in Information Technology, Computer Science, Statistics, Mathematics, Business, or a related field (Master s Degree is a plus).
• Minimum of 5 years experience in data engineering, with at least 2 years in a senior or lead role.
• Proven expertise in the data analytics lifecycle, including business problem framing, KPI/metrics design, exploratory analysis, and presenting data insights.
• Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and advanced programming skills in Python, Java, PySpark.
• Solid knowledge of data processing, ETL frameworks, data warehousing, and messaging queue systems (e.g., Kafka).
• Demonstrated experience in designing highly scalable, resilient, and secure data systems.

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:

Statistics, Research, Problem Solving

ประเภทงาน:

งานประจำ

• Business Analysis and Management: Global Business Solutions-APAC business data analysis, develop strategic planning, provide solutions and implementation plans; based on the understanding and analysis of the specific business domains, continuous optimize control rules, product tools and business operations, to provide strong support for the implementation of the strategy;.
• Regular monitoring and data analysis on various business metrics of Outbound E-commerce, and provide corresponding solutions to assist the platform Sales team to contin ...
• Business puzzle breakdown: familiar with Outbound e-commerce rules, deeply support Sales and CST team leader to do project task break-down, prioritization, monitoring important business progress; able to measure project output and efficiency through quantitative and qualitative analysis.
• Minimum QualificationsBachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;.
• experience in research and analysis positions in consulting, e-commerce/ads is preferred.
• Preferred QualificationsOutstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;.
• Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;.
• Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;.
• Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
• If you have any questions, please reach out to us at [email protected].
• Job Information
• About TikTok
• TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
• Why Join Us
• Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
• We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
• Diversity & Inclusion
• TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

ทักษะ:

Compliance

ประเภทงาน:

งานประจำ

• Validates, classifies, priorities and opens ticket.
• Acting as focal contact point for report security incidents.
• Document and escalate incidents (including event's history, status, and potential impact for further action) that may cause ongoing and immediate impact to the environment.
• Provide daily summary reports of security incidents.
• Responds to security alerts generate within the SLA time window.
• Follow-up and tracking security incidents base on team process.
• Examine network topologies to understand data flows through the network.
• Validate security incidents alerts against network traffic using packet analysis tools.
• Isolate or remove malware.
• Identify applications and operating systems of a network device based on network traffic.
• Assist in the construction of signatures which can be implemented on cyber defense network tools in response to new or observed threats within the network environment or enclave.
• Notify cybersecurity service provider team members of suspected cyber incidents, status, and potential impact for further action in accordance with the organization's cyber incident response plan.
• Work with stakeholders to resolve computer security incidents and vulnerability compliance.
• Who are we looking for?.
• Knowledge of computer networking concepts and protocols, and network security methodologies.
• Analytical and problem-solving skills are required.
• Knowledge of network traffic analysis methods.
• Knowledge of cyber defense and information security policies, procedures, and regulations.
• Experience in IT Security, Network Security or Security Compliance.
• Knowledge of common security tools such as anti-virus, firewall and intrusion detection system.
• Knowledge of network protocols such as TCP/IP, Dynamic Host Configuration, Domain Name System (DNS), and directory services. Able to work in shift.
• Location: Head Office: Chatuchak, SJ Infinite One Business Complex

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Gather and develop business requirements; construct workflow diagrams and technical documentation; communicate product features; review BRD / PRD as required by business requirements.
• Understand and translate customer needs into business and technology solutions, provide consultation of payment services, functional, application designs and ensure technology and business solutions represent business requirements.
• Analyze, support and develop the feasibility of requirements, project plans, schedul ...
• Manage all change requests, keep track of the timeline, validate all schedule impacts, and communicate changes to all teams.
• Work cross-functionally with our stakeholders, business and technology teams to ensure timely and quality release of product / enhancements.
• Monitor project progress by tracking activities; resolving issues; recommending actions to ensure timely completion.
• Requirements: Minimum 1 year of experience as a Product Manager or Business Analyst in Banking platform, E-wallet, or IT solution industry.
• Proficient in working with numbers and data organization.
• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.
• Strong ability to grasp technical concepts and simplify them for clear communication skills.
• Ability to work independently in a fast-paced environment.
• Ability to speak and write in English.
• Strong knowledge of payment services background is a plus.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Research, Market Analysis, Finance

ประเภทงาน:

งานประจำ

• Lead macroeconomic and cross-asset class market analysis to identify key risks and opportunities for portfolio positioning.
• Develop and refine strategic and tactical asset allocation strategies tailored to diverse wealth client segments.
• Communicate investment insights through high-quality reports, media appearances, webinars, and client-facing presentations.
• Collaborate with internal stakeholders and external partners to align investment strategies with business objectives and market perspectives.
• Supervise and mentor junior analysts, ensuring high standards of research quality and analytical rigor.
• Qualifications Master s degree in Finance, Economics, Business Administration, or a related field.
• Minimum of 5-8 years of experience in investment research, strategy, or portfolio advisory roles within banking, wealth management, or asset management.
• Strong understanding of global macroeconomics, asset allocation frameworks, and investment products (e.g., equities, fixed income, alternatives, mixed funds).
• Excellent communication skills, with experience as a media representative or public speaker on financial markets and investment strategy.
• Proficiency in Bloomberg, Excel, and data visualization tools (e.g., Power BI, Tableau).
• Must hold a valid Investment Analyst License (IA) authorized by the Thai SEC. A CFA designation (or progress toward it) is highly preferred.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.