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Skills:

TypeScript, SQL

Job type:

Full-time

• Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for internal knowledge retrieval and Q&A systems.
• Implement intent classification and message filtering (e.g., distinguishing questions from greetings/acknowledgments in Thai language contexts).
• Work with vector databases for document embedding, indexing, and similarity search.
• Fine-tune confidence scoring, self-correction heuristics, and response quality evaluation.
• Integrate with LLM APIs (OpenAI-compatible, Anthropic) and internal model endpoints.
• Internal Tooling & Web Applications Build and maintain internal web applications using Next.js, TypeScript, and PostgreSQL.
• Contribute to frontend performance optimization (React rendering, state management, caching strategies).
• Write and optimize SQL queries, database migrations, and RLS policies.
• Automation & Infrastructure Build and maintain workflow automation using n8n, including custom nodes and integrations.

Experience:

2 years required

Skills:

Statistics, SQL, Analytical Thinking

Job type:

Full-time

• Design, develop, and maintain BI dashboards using Looker Cloud Core (Google Cloud).
• Build and maintain LookML models, including Views, Explores, and Data Layers.
• Gather business requirements and translate them into well-structured data models and dashboards.
• Analyze business data, develop insights, and provide data-driven recommendations. Sensitivity Label: General.
• Collaborate with Data Engineers to ensure efficient data pipelines and optimized datasets for Looker.
• Conduct data validation, quality checks, and troubleshoot LookML or dashboard issues.
• Support Looker users including onboarding, permissions, and user adoption.
• Maintain documentation such as Data Dictionaries, Metric Definitions, and Dashboard Guidelines.
• Build KPI frameworks and ensure consistent usage of metrics across teams.
• Bachelor s degree in data science, Computer Science, Statistics, MIS, Engineering, or related fields.
• 2-3 years of experience in Data Analysis, Business Analysis, or BI-related roles.
• Direct experience working in enterprise-level environments.
• Strong proficiency in Looker and LookML (mandatory).
• Strong SQL skills (complex joins, window functions, CTEs).
• Familiarity with Google Cloud Platform (especially BigQuery).
• Understanding of data modeling concepts such as Star Schema and Snowflake Schema.
• Strong analytical thinking and ability to translate business requirements into technical solutions. Experience in designing dashboards that communicate insights clearly and effectively.
• About NTT DATA
• NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
• 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.
• Third parties fraudulently posing as NTT DATA recruiters.
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Experience:

8 years required

Skills:

SQL, Python, Scala

Job type:

Full-time

• Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
• Position Summary
• We are seeking a senior Cloud Technical Architect with deep expertise in data lake architecture, data management, and cloud-native data services on Google Cloud Platfor ...
• Presales Client Engagement
• Lead technical discovery sessions to understand clients current data landscape, pain points, and business goals.
• Design and present end-to-end data modernization architectures including data lake, data lakehouse, data mesh, and cloud data warehouse solutions on GCP and Alibaba Cloud platforms.
• Develop Proof of Concept (PoC) demonstrations and reference architectures aligned to client use cases.
• Respond to RFPs, RFIs, and RFQs by authoring high-quality technical proposals, solution narratives, and architecture diagrams.
• Articulate business value and ROI of proposed data modernization initiatives to both technical and executive audiences.
• Technical Architecture Advisory
• GCP: BigQuery, Cloud Storage, Dataproc, Dataflow, Dataplex, Pub/Sub, Looker, Dataform, BigLake, Data Catalog, Composer (managed Airflow)
• Alibaba Cloud: MaxCompute, DataWorks, AnalyticDB, Data Lake Analytics, E-MapReduce (EMR), Realtime Compute (Flink), DataHub, Quick BI, DataV
• Design data management frameworks covering data governance, data quality, metadata management, data lineage, and master data management (MDM).
• Define modern data integration patterns including batch, streaming, CDC (Change Data Capture), and event-driven architectures.
• Advise on data security, access control, encryption at rest/in transit, and compliance with data privacy regulations (PDPA, GDPR, Cybersecurity Law of China).
• Evaluate and recommend tools across the modern data stack: dbt, Apache Iceberg, Delta Lake, Apache Kafka, Airflow, and more.
• Consulting Delivery Support
• Act as a trusted advisor to clients, providing data strategy and platform roadmap guidance.
• Collaborate with delivery teams during project initiation to ensure architectural alignment and a smooth handover from presales.
• Conduct data maturity assessments and gap analysis workshops, producing actionable remediation roadmaps.
• Contribute to the development of reusable accelerators, solution blueprints, and best practice documentation within the practice.
• Partnership Ecosystem
• Maintain and deepen technical relationships with Google Cloud and Alibaba Cloud partner teams to stay current on new data services and co-selling opportunities.
• Participate in partner certification tracks and contribute to practice-level go-to-market positioning.
• Represent the company at technical forums, industry events, and cloud partner summits.
• Education
• Bachelors degree or higher in Computer Science, Information Technology, Data Engineering, or a related field.
• Experience
• 8 years of experience in IT, with at least 5 years focused on cloud data architecture and data platform engineering.
• 3 years of experience in a presales, technical consulting, or solution architecture capacity.
• Hands-on experience designing and implementing data lake or data lakehouse solutions on Google Cloud Platform (GCP) and/or Alibaba Cloud.
• Proven experience advising enterprise clients on data modernization, cloud migration of data workloads, or analytics platform transformation.
• Strong proficiency in SQL; working knowledge of Python, Spark, or Scala for data engineering contexts.
• Familiarity with Infrastructure-as-Code (Terraform, Deployment Manager, ROS) and DevOps practices for data platform deployments.
• Understanding of data storage formats: Parquet, ORC, Avro, Delta, Iceberg.
• Experience with BI/Analytics tools: Looker, Quick BI, Power BI, Tableau, or equivalent.
• Certifications (Preferred)
• Google Professional Data Engineer
• Google Professional Cloud Architect
• Alibaba Cloud Certified Professional (ACP) - Big Data or Data Analyst
• Alibaba Cloud Certified Expert (ACE) - Cloud Architect
• Databricks Certified Data Engineer (Professional)
• Workplace type: Hybrid Working
• About NTT DATA
• NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in RD.
• 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.
• Third parties fraudulently posing as NTT DATA recruiters
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Experience:

3 years required

Skills:

Compliance, DevOps, SQL, English

Job type:

Full-time

• Manage software releases across QA Load Test Stage Production environments.
• Execute and support OTA firmware releases.
• Launch and maintain mobile app releases to App Store and Google Play.
• Work with agile teams to build, test, and maintain CI/CD pipeline components.
• Support product NPI onboarding and participate in early sprint planning.
• Cloud Operations Platform SupportAdminister and troubleshoot Microsoft Azure environments.
• Perform L1.5-L2 support activities including monitoring, deployments, rollbacks, and platform health checks.
• Manage migrations across platforms or service providers.
• Ensure proactive performance monitoring and SLA compliance.
• Maintain system documentation, runbooks, and operational best practices.
• Monitoring, Alerting Incident ManagementCreate and manage monitoring/alerting systems for cloud and connected device platforms.
• Lead and support 24x7 major incident management, including on-call support.
• Own end-to-end incident resolution from ticket creation to closure.
• Implement corrective actions to mitigate operational and security risks.
• Conduct periodic user access/security audits.
• Cross-functional CollaborationWork closely with Engineering, Security, and other teams to evangelize Ops best practices.
• Participate in technical bridge calls and RCA sessions.
• Manage UI views for license consumption and performance analytics.
• Gather usage metrics and report insights to stakeholders.
• Required3-5 years of experience in Microsoft Azure cloud systems support.
• Hands-on experience with Azure DevOps tools and pipelines.
• VMs, Storage, Event Hub, Service Fabric Cluster, AKS.
• IoT Hub, Cosmos DB, SQL Server.
• Databricks, Key Vault, Data Lake.
• Experience in CI/CD tools (Octopus, Bamboo, Terraform, Azure DevOps, Jenkins, GitHub, Ansible).
• Familiarity with IoT concepts: telemetry ingestion, processing, data storage, reporting.
• Knowledge of container orchestration (Kubernetes).
• Ability to script with PowerShell and Python.
• Understanding of SQL vs NoSQL databases and operational maintenance.
• Knowledge of monitoring/logging systems (Log Analytics, Splunk, ELK, Prometheus, Nagios, Zabbix).
• Strong analytical thinking and proactive troubleshooting mindset.
• Excellent communication skills in English (written verbal).
• PreferredMicrosoft Azure Fundamentals certification (AZ-900) or Degree in CS / Information Systems.
• Experience managing mobile app releases (App Store / Play Store).
• Experience with connected device platforms (IoT environments).
• About NTT DATA
• NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
• Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
• NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Skills:

SQL, Industrial Engineering, Automation

Job type:

Full-time

• Develop IoT applications / Software Development using C#/.NET and SQL within industrial platforms (AVEVA System Platform).
• Integrate PLCs with databases for real-time production tracking and traceability.
• Design SCADA and HMI systems (InTouch OMI) for shopfloor operations.
• Configure high-availability systems (redundant Application Engines, Historian).
• Build dashboards and reports for operational monitoring.
• Troubleshoot IT/OT communication issues in factory environments.
• Implement industrial protocols (Modbus TCP/IP, MQTT).
• Collaborate with production and engineering teams to improve efficiency.
• Degree in Industrial Engineering, Automation, Computer Engineering or related.
• Strong programming skills in C#,.NET, VB, and Python.
• Proficiency in SQL (querying, optimization, database concepts).
• Experience working with SCADA systems, including AVEVA System Platform and Node-RED.
• Knowledge of PLC integration, industrial automation systems, and industrial communication protocols (Modbus, OPC UA, MQTT, etc.).
• Familiarity with Git, Visual Studio, and modern development workflows.
• Understanding of Cybersecurity principles in industrial environments.
• AI Vision use case will be Considering.
• Looking to make an IMPACT with your career?.
• When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
• IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
• We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
• Become an IMPACT Maker with Schneider Electric - apply today!.
• 40 billion global revenue
• 9% organic growth
• 150 000+ employees in 100+ countries.
• You must submit an online application to be considered for any position with us. This position will be posted until filled.
• Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and inclusion is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
• Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Skills:

SQL, ETL, Project Management, English

Job type:

Full-time

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

Experience:

3 years required

Skills:

Industry trends, SQL, NoSQL, English

Job type:

Full-time

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

Skills:

Contracts, Python, SQL

Job type:

Full-time

• Design computational data models, reusable schemas, and structured data frameworks that improve interoperability, consistency, and machine usability across the R&D data ecosystem.
• Define reusable entity structures, metadata patterns, relationships, and data contracts that support integration across experimentation systems, analytics environments, and digital products.
• Translate scientific and business complexity into scalable model logic and reusable ...
• Context- and Knowledge-Driven Data Modelling.
• Develop context-rich data models that connect scientific data, metadata, documents, protocols, business rules, and domain concepts into reusable knowledge assets.
• Create information structures that preserve scientific meaning and operational context to improve consistency across functions and over time.
• Improve discoverability and reuse by formalizing relationships, definitions, and contextual attributes across fragmented systems and data sources.
• Ontology, Knowledge Graph, and RAG Foundations.
• Apply ontology principles to define consistent concepts, hierarchies, relationships, and machine-readable rules across priority R&D data domains.
• Support the development of R&D knowledge graph foundations by modeling relationships between experiments, protocols, observations, methods, assets, and decisions.
• Enable Retrieval-Augmented Generation (RAG) and other knowledge-driven AI approaches by improving retrieval structures, contextual linkages, and connections between structured and unstructured information.
• AI-Ready Data Platform Enablement.
• Contribute to AI-ready data platforms by defining reusable knowledge layers, integration patterns, and data-readiness standards.
• Partner with platform owners, Bioinformatics leads and technical stakeholders to scalable AI integration, and reliable information retrieval.
• Collaboration with Data Scientists and Bioinformatics Leads.
• Collaborate with Data Scientists and Bioinformatics lead to ensure analytical, digital, and AI solutions are built on reusable and scalable data foundations.
• Contribute to shared architecture discussions, design reviews, and foundational modelling decisions aligned with business and platform needs.
• Documentation, Standards, and Change Enablement.
• Document modelling standards, ontologies, schemas, and reusable reference patterns to support consistent adoption across teams.
• Provide technical guidance on computational data models, ontology structures and AI-ready data design approaches.
• Governance, Safety, and Professional Standards.
• Ensure data models and knowledge structures align with governance, security, lineage awareness, traceability, and responsible AI enablement standards.
• Balance architectural rigor, usability, innovation, usability, and practical business value to support scalable implementation.
• Qualifications Advanced degree (MSc or PhD) or equivalent applied experience in data science, computational modeling, data engineering, knowledge engineering, computer science, bioinformatics, or a closely related field.
• Demonstrated hands on experience designing reusable computational data models, including entities, schemas, relationships, metadata structures, and model driven data consumption patterns.
• Strong expertise in semantic modeling, ontology principles, and knowledge representation, with the ability to translate complex domain concepts into machine readable structures.
• Proven experience with knowledge graphs, information retrieval, or retrieval augmented generation (RAG)-enabling architectures, including context layering and source grounding.
• Solid programming and data engineering capability (e.g., Python/R, SQL), with experience working on modern data platforms and analytics ecosystems.
• Ability to translate scientific, business, and operational rules into robust, reusable model logic that supports analytics, digital workflows, and AI enabled applications.
• Experience designing for interoperability and reuse across platforms and products, avoiding one off or locally optimized solutions.
• Strong communication and collaboration skills, with experience working in matrix environments and explaining complex modeling or architecture concepts in practical business terms.
• Additional InformationSyngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
• LI-Onsite.

Skills:

Finance, SQL, Python, English

Job type:

Full-time

• Collect, monitor and verify data sources and maintaining manual updates of Fixed Income data.
• Taking ownership for data quality, accuracy, timeliness and completeness.
• Dealing with client queries connected to Fixed Income Data.
• Working optimally within teams or by yourself, be proactive to identify and resolve problems.
• Skills and experience.
• Working professional proficiency in English and Mandarin (simplified and traditional) as role requires extensive reading in these languages on daily basis.
• Thai language proficiency is an added advantage, to support Thailand and China market.
• Strong interest in Finance.
• Experience in sourcing information.
• Practical knowledge of MS Excel.
• Attention to details.
• Knowledge of Fixed Income markets a plus.
• SQL/Python skills a plus.
• Education.
• Bachelor s degree in Economics/Finance or Financial Mathematics.
• Fresh graduates are encouraged to apply.
• This role is on blended work model with 3 days working in office and 2 days remotely. If you're up to the challenge, apply today!.
• Associate
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• 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.
• 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.
• You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• 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.

Skills:

Python, SQL, System Testing

Job type:

Full-time

• Design, develop, and maintain applications and automation solutions to support operational processes and business improvement initiatives.
• Develop automation using Python and/or process automation tools, SQL, Microsoft Power Platform (e.g., RPA, workflow automation, API integration).
• Build and maintain front-end and back-end components to support internal tools, dashboards, or workflow systems.
• Code Quality AssuranceWrite clean, efficient, and well-documented code, and conduct code reviews to ensure adherence to coding standards and best practices.
• Requirements Analysis & Solution DesignWork closely with Business Analysts, Operations users, and stakeholders to understand business requirements.
• Translate business and process requirements into technical designs, automation logic, and system architecture.
• Support solution design for end-to-end processes, including integration with existing systems.
• Testing, Deployment & SupportPerform unit testing and support system testing and User Acceptance Testing (UAT).
• Troubleshoot defects, performance issues, and automation failures.
• Provide post-implementation support and continuous enhancement of deployed solutions.
• Collaboration & Continuous ImprovementCollaborate with cross-functional teams including Operations, IT, Data, and Project Management.
• Stay up-to-date with emerging technologies related to automation, Python development, low-code/no-code tools, and digital platforms.
• Proactively propose improvements to development and automation practices within the team.
• 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.

Experience:

7 years required

Skills:

Compliance, Python, SQL, English

Job type:

Full-time

• 50% to conceptualising, designing, building, and scaling Procurement GenAI/ Agentic AI agents and use-cases.
• 50% to delivering client service with focus on savings & value creation, category insights, operating model, and holistic procurement transformation.
• You will help clients reinvent procurement with digital and GenAI capabilities, unlocking step-change value, greater resilience, sustainability impact, and innovation across their value chains. This role is ideal for a procurement expert who is also te ...
• This is a global role reporting to BCG s Global Topic Leader for Procurement, and you will operate as part of our Global GenAI Procurement Team across North America, Europe, and Asia.
• Our Expert Consulting Track.
• The Expert Consulting Track (ECT) is vital to BCG s ability to successfully meet our clients demand for deep expertise and advanced technical capabilities. Experts deliver next-level impact for BCG's most complex and cutting-edge client challenges. Experts focus on developing BCG's thought leadership, commercial capabilities, and intellectual property assets; and their work is essential to our delivery model. Working as part of a multidisciplinary team to bring the best of BCG to our clients, Experts come from diverse backgrounds, with expertise often gained outside of BCG in industry, academia, or specialized consulting.
• What You'll Bring.
• Core Procurement Expertise.
• 7-12 years of experience in procurement, supply chain, digital procurement, or related fields.
• Strong fundamentals in category management, sourcing, contracting, supplier management, compliance, and risk.
• Proven track record in delivering procurement value creation and transformation programs.
• Experience in top-tier consulting firms is a strong plus.
• Experience in Procurement or Supply Chain functions of leading blue-chip or Fortune 500 companies especially within AI/GenAI-focused COEs, is an advantage.
• GenAI Technical Competencies.
• Hands-on experience building GenAI solutions, not just managing vendors - e.g., working with LLMs, knowledge retrieval (RAG), prompt engineering, agent design, workflow automation, or analytics tools.
• Ability to translate procurement processes into technical requirements and solution architectures.
• Ability to work collaboratively with engineers and data scientists, familiarity with Python, SQL, or no-/ low-code platforms will be a plus.
• Strong understanding of data readiness, governance, quality assurance, and model evaluation.
• Experience in AI-native or cloud-native companies is a strong plus, particularly in roles involving product development or applied AI.
• Consulting & Leadership Skills.
• Strong problem-solving and communication skills; ability to influence C-level stakeholders.
• Proven leadership managing teams and complex multi-workstream engagements.
• Fluency in English; proficiency in one or more SEA languages is an advantage.
• High adaptability, entrepreneurial mindset, and a passion for innovation in procurement.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

Experience:

6 years required

Skills:

SQL, IIS, Docker

Job type:

Full-time

• Engage with customers to understand business goals, application landscapes, and modernization needs.
• Lead discovery workshops covering current state application architecture, dependencies, and integration points.
• Re host / Containerization.
• Re platform & Refactor.
• Decompose & Iterative Strangulation.
• Cloud Native Application Design.
• Present modernization roadmaps, architecture diagrams, and migration strategies to customer technical and executive stakeholders.
• Collaborate with sales teams to support RFPs, RFIs, and customer bids with accurate technical inputs.
• Application Architecture & Modernization Design.
• Analyze legacy monolithic applications across application layer, web tier, batch processing, and data access layers.
• Evaluate applications for adaptability, scalability, resiliency, and cloud readiness.
• Microservices.
• API first architecture.
• Event driven and asynchronous processing.
• Container based deployments (AKS/EKS/GKE, RedHat OpenShift).
• Serverless components.
• Data migration (SQL Server Azure SQL / Managed Instances).
• App hosting migration (IIS,.NET, NodeJS Azure App Service).
• Moving from tightly coupled systems to loosely coupled microservices.
• Ensure proposed solutions follow cloud architecture best practices for security, cost optimization, performance, and reliability.
• Technical Leadership.
• Provide architectural guidance to delivery teams during early project phases (PoC, MVP, pilot).
• Mentor junior engineers and architects on cloud native and modernization technologies.
• Create reusable templates, modernization frameworks, and architectural accelerators for presales and solution teams.
• Cloud & Technology Expertise.
• Deep hands on knowledge of at least one major cloud provider (Azure preferred; AWS/GCP a plus).
• Containers & orchestration (Docker, Kubernetes, AKS/EKS).
• API Gateway, service mesh, and cross service communication.
• CI/CD pipelines and DevSecOps practices.
• Distributed tracing, logging, and monitoring.
• Experience analyzing and optimizing application resiliency using cloud native capabilities.
• Required.
• 6+ years experience in application architecture, solution architecture, or modernization consulting.
• Strong understanding of enterprise monolithic systems and modernization techniques.
• Experience designing cloud architectures on Azure (App Service, AKS, Functions, API Management).
• Proven presales or customer facing consulting experience.
• Ability to translate complex technical concepts into business friendly language.
• Preferred.
• Certifications such as Azure Solutions Architect, AWS Solutions Architect, or equivalent.
• Experience with microservices migration frameworks and strangler fig pattern implementations.
• Hands on understanding of DevOps automation (Azure DevOps, GitHub Actions, Jenkins).
• On-site Working About NTT DATA
• NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
• 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.
• Third parties fraudulently posing as NTT DATA recruiters.
• NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Experience:

3 years required

Skills:

Power BI, System Testing, SQL, English

Job type:

Full-time

• Gather and translate Commercial requirements into analytical and reporting solutions.
• Collaborate with IT and Business teams for issue resolution and enhancement.
• Design, develop, and maintain interactive dashboards and reports using Power BI.
• Work with Global IT team to deploy the requirements.
• Ensure data accuracy, consistency, and governance standards.
• Automate reports and improve reporting efficiency.
• Monitor system performance and ensure system availability.
• Support system testing, upgrades, and deployments.
• Troubleshoot system issues and resolve incidents within defined SLAs.
• Provide first and second level support for business applications and systems.
• Support users with Power BI adoption, training, and best practices.
• Manage end-to-end PepsiConnect data and platform operations.
• Produce daily, weekly, and monthly reports to support GTM execution and performance tracking.
• Provide insights, trends, and recommendations to stakeholders.
• Qualifications:Bachelor s degree in Information Systems, Computer Science, Data Analytics, or related field.
• 3-5 years of experience in FMCG industry.
• Good Communication in Thai and English.
• Strong knowledge of Power BI (DAX, Power Query, data modeling).
• Experience with SQL and relational databases.
• Strong analytical and problem solving skills.
• Strong stakeholder leadership and influence to proactively engage Commercial, Field, and IT teams, align priorities, and translate business needs into scalable analytical and system solutions.
• Prioritization and adaptability to balance operational support with growing analytics and reporting demands.
• Collaboration skills to work effectively with Commercial, Field, IT, and Data teams.

Experience:

1 year required

Skills:

Procurement, ERP, SQL, English

Job type:

Full-time

• Receiving, stowing and picking, packaging and shipping, sorting and counting of computer hardware parts physically and logically.
• Working on part request from Technicians and reviewing inventory availability.
• Monitor Logistics dashboards and request for actions to ensure that the InfraOps meet the KPI target.
• Balance the inventory within the cluster and region when needed.
• Coordinate with procurement and vendor to schedule part delivery. Track and update shipment status and manage the delivery issues with transportation vendors.
• Storage facility management and administration. Cycle count, daily audit, 7S etc.
• Complying with inventory process in part handling activities for instance parts quarantine, media parts, critical parts control.
• Participation in continuous improvement initiatives in addition to day-to-day inventory requests.
• Process RMA to vendors and scrap parts.
• A day in the lifeMonitor the parts availability for break-fix ticket.
• Manage shipment receiving and inventory management.
• Facilitate internal customers to complete the maintenance activities.
• Participate the continuous improvement project.
• Deploy global solution to meet the global standard.
• Innovate the existing application to improve customer experiences.
• BASIC QUALIFICATIONS.
• Bachelor degrees in any discipline preferably in Logistics, Supply chain and Engineering.
• 1-2 years experience in Logistics or Data Center industry.
• Good English proficiency in writing and reading.
• Experience in WMS or ERP.
• Bachelor degrees in any discipline. Prefer Logistics, Supply chain and Engineering
• 1 to 2 year experience in Logistics industry or Data center
• Good English proficiency in writing and reading
• Experience in WMS or ERP
• PREFERRED QUALIFICATIONS.
• Basic skill in AI tools, SQL and Dashboard creation.
• Experience in managing IT hardware and Network equipment inventory.
• Familiar with Electrical and Mechanical spare parts.
• Basic skill in Ai tools, SQL and Dashboard creation.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.

Skills:

Finance, SQL

Job type:

Full-time

• Spearhead the execution of Sephora's Beauty Pass Loyalty Program in Thailand, with a laser focus on driving growth in the Black and Gold customer base.
• Champion executional excellence in the implementation of loyalty program strategies, and adhering to established guidelines and best practices provided by the SEAOI Regional Loyalty Team. Ensure a consistent and elevated loyalty experience across all customer touchpoints.
• Collaborate closely with the SEAOI Regional Loyalty Team to launch, pilot, and rigor ...
• Act as the primary liaison between the SEAOI Regional Loyalty Team and Thailand markets, on all Loyalty matters and initiatives, ensuring alignment on strategic Loyalty objectives. Proactively translate regional strategies into actionable market-specific plans, driving expedient and effective execution with your local teams e.g. Digital, Merch, Retail etc.
• Curate and maintain an attractive and well-stocked selection of rewards and gifts within the Rewards Boutique and Birthday Gifts in your markets.
• Manage the Loyalty budget for Thailand and ensuring efficient allocation of resources across all initiatives.
• Train and empower store teams to effectively drive loyalty program member acquisition, retention, and uptiering efforts in retail.
• Conceptualize, plan, and execute impactful loyalty member events with the goal of driving recruitment, uptiering, rigorously tracking and optimizing ROI on all event investments.
• Manage the financial implications of the Beauty Pass Loyalty Program in Thailand, by collaborating with SEAOI Regional Loyalty Team and local Finance teams in mitigating points liability, while driving value and engagement for customers. This includes enabling proactive management of liability, forecasting points redemption rates and optimization of reward offerings.
• Lead regular market business reviews with the SEAOI Regional Loyalty Team, proactively providing insightful market performance updates, identifying opportunities for optimization, and ensuring alignment with overall Regional Loyalty objectives.
• Extract Quarterly data on Loyalty and Big commercial campaign.
• Collaborate with Sephora Finance team to work with Bank partner to deliver effective promotional offer to big and BAU campaigns and foresee the marketing materials developed by bank and give comments as well as develop POS material for in-store channels.
• Vet Thai copy on CRM and Loyalty materials provided by regional team.
• Effective interpersonal communication and ability to manage relationships with stakeholders.
• Ability to quickly address and resolve any issues that arise in the operation of the loyalty program.
• Excellent at managing timelines, resources, and workflows to ensure the smooth execution of daily operations.
• Teamworking and leadership skills.
• Strong presentation and stakeholder management skills.
• Ability to communicate complex ideas with clarity for stakeholders at all levels as you must speak with partners, colleagues, and customers.
• Keen attention to detail to ensure accuracy in the loyalty rewards boutique and in the execution of loyalty program elements.
• Commercial awareness: a Senior CRM & Loyalty executive must know his/her target market well and have the ability to create campaigns that grab the attention of customers and solves their problems.
• Top quality analytical skills. A big part of your job involves gathering and analyzing data to help business understand the customer base and coming up with suggestions for improving the existing strategy.
• SQL and/or relational database proficiency.
• Community, in which authenticity is embraced, and the strength of our differences fuels our collective spirit.
• Culture of empowerment, learning & growth, that offers you the tools, space and opportunity to learn, innovate and lead.
• Work that brings fulfilment, from delighting clients every day, to inspiring our industry at large, every action makes a difference.
• It is in the Sephora DNA to champion a world of inspiration and inclusion where everyone can celebrate their beauty. You can be yourself, because you are what sets us apart. Join us and belong to something beautiful.
• Sephora is proud to be an equal opportunity workplace for all. We do not discriminate in recruitment, hiring, training, advancement, or other employment practices. We celebrate diversity and are committed to creating and fostering an inclusive environment for all employees.

Experience:

2 years required

Skills:

Javascript, TypeScript, SQL, node.js, Git, Thai, English

Job type:

Full-time

• Analyze, design, and develop software applications.
• Follow given requirements and specifications for software development.
• Clearly and regularly communicate with management and technical support colleagues.
• Test, maintain and recommend software improvements to ensure strong functionality and optimization.
• Bachelor's degree in computer science or related degree.
• 2 or more years of experience in web development or related roles.
• Good programming skills in JavaScript, TypeScript, Python, Java, or other relevant languages.
• Mobile application or web development skills.
• Teamwork and communication skills.
• Good command in English.
• Location: MRT Bangkae (2 min walk).

Skills:

SQL, Tableau, Power BI, English

Job type:

Full-time

• Drive Operational Excellence: Understand and drive the proper execution of the HS&E and Quality foundations.
• Own and manage a DMS for the Line.
• Act as a coach for the EO to drive IWS progress, perfect execution of the SWP and improvement of the standards.
• Conduct thorough assessments via RE analysis, touch mapping and weekly Hoshin.
• Propose and implement solutions that streamline processes, eliminate failures, and reduce manual intervention.
• Data management and visualization skills/tools in one or more of the following: Databricks, SQL, KNIME, Tableau, Power BI, JMP/SPSS or similar).
• Facilitate the integration of new digital tools and technologies within the organization.
• Provide training and support to team members on the effective use of digital solutions to ensure widespread adoption.
• Lead initiatives aimed at enhancing the efficiency and effectiveness of digital systems and processes.
• Participate in the yearly loss analysis process, identifying trends and potential areas for improvement.
• Collaborate with stakeholders to define solutions that drive Net Sales (NS) and enhance overall operational performance.
• Collaborate with cross-functional teams to identify and implement best practices in operations.
• Participate in a site Pillar network.
• Job Qualifications.
• Bachelor's degree in Engineering in any field.
• Demonstrated leadership skills with the ability to manage projects and lead cross-functional teams.
• Strong critical thinking and problem-solving abilities.
• Proficiency in digital skills, including familiarity with manufacturing software, data analysis tools, and automation technologies.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Proficiency in English, both written and spoken.
• Knowledge of Lean Manufacturing, Six Sigma, or other process improvement methodologies is a plus.
• Open for fresh graduates to apply.
• Previous experience in an FMCG manufacturing environment is preferred.
• Able to work in Wellgrow industrial estate (We provide the transportation support).
• About us.
• We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Downy , Gillette , Head & Shoulders , Herbal Essences , Oral-B , Pampers , Olay , Always , Pantene , Safeguard , SKII , Ambi Pur and more. Our community includes operations in approximately 70 countries worldwide.
• Visit http://www.pg.com to know more.
• We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
• Job Schedule.
• Full time
• Job Number.
• R000144906
• Job Segmentation.
• Entry LevelStarting Pay / Salary Range null

Experience:

5 years required

Skills:

Power BI, SQL, Analytical Thinking

Job type:

Full-time

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0-5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (e.g., star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
• Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehouse technologies (e.g., Snowflake, HANA).
• Experience with programming languages for data manipulation (e.g., Python).
• Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience or knowledge of Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran).
• Experience with programming skills in languages such as Python, or Java.
• English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
• Stay connected with us.
• Learn more at our website.
• Follow us onLinkedIn and X.
• Like us on Facebook.
• Subscribe our channel at YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Skills:

Javascript, SQL

Job type:

Internship

• Javascript, SQL เพื่อ Query from database.
• Internal app dev
• Self learning
• NVA ระบบการใช้งานภายในของ MFEC Location: Head Office: Chatuchak, SJ Infinite One Business Complex/ WFH

Experience:

5 years required

Skills:

Power BI, Python, SQL, English

Job type:

Full-time

• Own and execute end-to-end planogram development/optimization/revamp projects for key APAC retailers using external tools (JDA, Tana power, equivalent) and internal systems (POG Heatmap tools).
• Provide analytics-led insights for POG proposals, including building, optimizing, improving, updating POGs, conducting various analytics like space-to-sales analysis, assortment optimization, and equivalent.
• Act as the subject matter expert for space planning and POG development/optimization ...
• Drive Category Management, Channel, Customer analytics initiatives to support Countries win CatMan objectives with key customers/retailers.
• You are the face of CatMan, Channel, Customer analytics for APAC. You own and drive the Category Management analytics support to countries, collaborating with country teams to work on identified JBPs / Range Reviews to support analytics & data, and helping build the proposal to win with the customer/KA.
• Key Responsibility Areas.
• Conduct Channel, Customer & CatMan analytics for identified key customer X portfolio in Asia countries.
• Providing support in JBPs and Range Reviews.
• Playing key role in developing and delivering the CatMan proposals to customer/KA/buyers working in partnership with country teams.
• Champion capability building for Category Management & POG analytics for APAC.
• As a coach and influencer, you will partner directly with country teams to embed excellence into their daily routines. Your impact will be through coaching KAMs / Analytics teams, and other key stakeholders to develop their own insights and confidently present data-driven strategies to internal & external customers/stakeholders. You are a catalyst for change, fostering a culture where key KAM, analytics employees feels empowered to be a data driven strategist.
• Key Responsibility Areas.
• 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.
• Foster a self-serve analytics culture by championing the use of data in daily decision-making across the commercial organization.
• Conduct workshops and "clinics" to provide ongoing support and upskill the commercial organization, fostering a community of CatMan -literate practitioners.
• of POG projects executed using advanced space planning / management tool capabilities.
• of Channel/KA analytics projects delivered.
• of training sessions and programs delivered.
• of CatMan projects / proposals delivered.
• 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).
• 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/for countries: Japan, Korea, Taiwan, Australia, Thailand, Philippines, India, Singapore, Malaysia, Indonesia.
• 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.
• 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.
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