เงื่อนไขการค้นหา

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..

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:

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:

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:

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:

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:

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).

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:

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:

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:

Sales, Finance, Statistics

ประเภทงาน:

งานประจำ

• Drive the end-to-end AI and Advanced Analytics initiatives to support CP Axtra s Retail & Wholesale businesses.
• Develop and execute a forward-looking AI strategy that delivers measurable impact on revenue growth, cost efficiency, and customer engagement.
• Serve as a bridge between business and technology, ensuring AI adoption and scaling across multiple business units.
• Stay updated on global and local AI trends, including Generative AI, personalization, forecasting, and optimization, to strengthen CP Axtra s competitive edge.
• Analytics and AI Execution.
• Lead the design, development, and deployment of machine learning and AI models, including personalization engines, pricing optimization, demand forecasting, inventory management, and GenAI/NLP applications.
• Oversee experimentation, validation, and monitoring of AI/ML models to ensure scalability, reliability, and business integration.
• Ensure close collaboration with data engineering teams to enable robust pipelines and MLOps for production-grade solutions.
• Business Partnership.
• Partner with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to co-create AI use cases and drive adoption.
• Build strong relationships with stakeholders to align priorities, communicate trade-offs, and manage expectations effectively.
• Act as a trusted advisor to senior executives, translating complex AI insights into actionable recommendations.
• Evangelize the value of AI and data-driven decision-making across the organization.
• People Leadership and Collaboration.
• Mentor and coach a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous learning.
• Promote cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver integrated solutions.
• Encourage knowledge sharing and build internal AI/ML capability to strengthen organizational maturity.
• Performance Monitoring and Optimization.
• Define and monitor success metrics for AI initiatives, such as sales uplift, campaign ROI, operational cost reduction, and customer lifetime value.
• Continuously assess and optimize AI-driven processes to maximize business impact.
• Share learnings, case studies, and success stories to build trust and ensure alignment with business leaders.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• 5+ years of experience in data science, advanced analytics, or AI applications (experienced in Retail or Wholesale domain preferred).
• Proven experience delivering AI/ML solutions from ideation to production with measurable business outcomes.
• Proficiency in Python, R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with GenAI and NLP frameworks (e.g., LLMs, LangChain, RAG pipelines).
• Familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop, Databricks).
• Experience with data visualization tools (e.g., Power BI, Tableau) and modern MLOps practices.
• Strong stakeholder management and communication skills across technical and business functions.
• Proven ability to prioritize and deliver projects with business impact.
• Understanding of retail and wholesale operations, including customer journey, pricing, promotion, assortment, and supply chain optimization.
• Demonstrated success in driving AI adoption, gaining executive buy-in, and scaling solutions across organizations.
• 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. .

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!.

ประเภทงาน:

งานประจำ

• Commercial Analytics & Reporting.
• Sales & Margin Performance: Build Buyer/Category scorecards & performance tracking solutions. Enforce guardrails, auto-alerts and precise.
• Price & Promo Science: Develop price index, price elasticity and set price/promo guardrails by category, channel, and region.
• Customer Targeting & Marketing Automation: Operationalize segmentation for precise targeting across CRM/push/paid. Automate pipelines, bot-pushed insights to improve campaign ROI..
• Forecasting & Modelling.
• Demand outlook: Clear view of expected sales by category, channel, and region across seasons, paydays, and events and early-warning signals.
• Price & promo outlook: Simulate sales and margin under different price points and promo plans; recommended actions and trade-offs by category.
• Customer & campaign outlook: Expected acquisition, repeat, and retention by segment; projected lift from campaigns, placements, and assortment changes.
• Data Governance & Enablement.
• Single source of truth: Certified datasets and KPI glossary with role-based access; privacy aligned to PDPA/GDPR.
• Quality & controls: Data contracts, lineage, retention, and periodic checks; clear model/decision standards and auditability..
• Team Leadership.
• People & practices: Mentor analyst, review code/notebooks/queries, and uphold documentation and reproducibility standards.
• Stakeholder impact: Coach Commercial, Marketing, Finance & other stakeholders KPI interpretation; dashboard, model walkthroughs.
• 6-10 years in Retail/E-commerce/CPG/ Consulting/ large MNCs with hands-on experience on developing commercial solutions and reporting.
• Strong SQL and Python; with expert proficiency in Power BI and working knowledge of Databricks/Fabric/Spark.
• Proven track record turning analysis into commercial actions and executive-ready storytelling through reports.
• Master s degree in a quantitative field (e.g., statistics, economics, mathematics, business administration, marketing).
• Experience in AI & automation: GenAI/LLM copilots, decision bots, and pipeline automation (Power Platform/Fabric) etc., will be an added advantage.

ประเภทงาน:

ฝึกงาน

• The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in ...
• Minimum Qualification1. Open to students who are currently pursuing their bachelor s degree in Business, Data Science, Economics, Statistics, Engineering, or a related field. Preferred Qualifications1. Strong analytical skills and proficiency in Excel/Google Sheets; familiarity with SQL, Python, or other scripting languages is a plus.2. Experience or strong interest in data visualization tools (Looker Studio, Tableau, Power BI, etc.)3. Eager to learn and comfortable working with large data sets and multiple stakeholders4. Self-starter with a proactive attitude and the ability to manage multiple tasks simultaneously5. Interest in media, eCommerce, or digital platforms is a bonus.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]

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Creativity

ประเภทงาน:

งานประจำ

• Design and maintain project deployment toolkits and operational collaterals (guides, templates, posters, decks).
• Translate technical sustainability topics into clear, hotel-friendly content adapted to the region s needs.
• Centralize communication needs from hotels and regions; develop turnkey materials for internal use.
• Support pilot launches with co-branded and visual collaterals.
• Develop content for internal webinars, campaigns, activations, challenges, and L&D programs.
• Help bring consistency and visibility to hotel-level actions across the region.
• Co-create data-driven case studies in partnership with the Performance Analyst.
• Support awards submissions and hotel recognition programs.
• Work with PR and Communication teams to amplify impact internally and externally.
• Contribute to Accor external positioning through content for Accor MEAAPAC Top Management for conferences, panels, and trade events.
• Coordinate the MEAAPAC sustainability event calendar in collaboration with regional stakeholders.
• Monitor market trends and competitor activities to keep MEAAPAC s narrative relevant and impactful.
• Qualifications Degree in Communications, Sustainability, Hospitality, or related field.
• Previous experience in hospitality or sustainability is required.
• At least 2 years of experience in communication, ESG engagement, marketing, or change enablement.
• Experience working in multi-country, matrixed organizations preferred.
• Excellent PowerPoint skills with a strong sense of visual storytelling and experience with Canva or Adobe Creative Suite.
• High creativity and ability to transform abstract topics into engaging narratives and visuals.
• Culturally aware and audience-sensitive.
• Additional Information Develop your talent through Accor s learning programs.
• Opportunity to grow within your property and across the world!.
• Ability to contribute to the community and make a difference through our Corporate Social Responsibility and Environmental, Social, and Governance (ESG) activities.

ประเภทงาน:

ฝึกงาน

• Client Solutions Analyst Intern - Thailand
• Bangkok
• Employment Type
• Intern
• Job Code
• A169120
• The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.
• We are looking for a curious, analytical, and detail-oriented Business Analyst Intern to join our team for up to 6 months. In this role, you will support our strategy and insights function by helping analyze business insight, build dashboards, and streamline data processes. You'll play a key role in turning data into actionable insights that drive decisions across key cross functional team.
• As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
• Applications will be reviewed on a rolling basis - we encourage you to apply early.
• We will prioritize candidates who can commit to a minimum of 6 months, with full-time preferred. If part-time, minimum 4 days per week.
• Analyze business, media, and e-commerce performance data to extract insights across all products, providing support for strategic decision-making;
• Utilize fundamental tools such as Excel and Google Sheets, as well as business intelligence platforms like Looker Studio, Power BI, and Tableau, to create and maintain data dashboards and reports;
• Collaborate with cross-functional teams, including media and e-commerce departments, to identify data requirements and regularly deliver performance analysis results;
• Identify repetitive and manual data tasks, drive process automation, and optimize data processing workflows;
• Conduct data quality checks to ensure consistency and accuracy in reporting;
• Build and maintain scalable, user-friendly data tools and templates (such as trackers, evaluation benchmarks, etc.) to empower the team to respond efficiently to client needs.
• Minimum Qualification
• Open to students who are currently pursuing their bachelor's degree in Business, Data Science, Economics, Statistics, Engineering, or a related field.
• Preferred Qualifications
• Strong analytical skills and proficiency in Excel/Google Sheets; familiarity with SQL, Python, or other scripting languages is a plus;
• Experience or strong interest in data visualization tools (Looker Studio, Tableau, Power BI, etc.);
• Eager to learn and comfortable working with large data sets and multiple stakeholders;
• Self-starter with a proactive attitude and the ability to manage multiple tasks simultaneously;
• Interest in media, eCommerce, or digital platforms is a bonus.
• 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.