เงื่อนไขการค้นหา

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Industrial Engineering, Analytical Thinking, Problem Solving, Leadership Skill, English

ประเภทงาน:

งานประจำ

• Team Leadership & Operational Management.
• Daily Operations Supervision: Lead and oversee daily warehouse operations, ensuring smooth inbound, storage, inventory movements, and outbound processes.
• Team Management & Development: Supervise and develop warehouse personnel to maintain high standards of productivity, workplace safety, and 5S/housekeeping.
• Inventory & Space Management: Ensure inventory accuracy, control stock rotation (FIFO/FEFO), and optimize warehouse space utilization.
• Stock Count Supervision: Oversee routine cycle counts and annual stock-taking activities to maintain high levels of inventory accuracy.
• Operations Improvement & Problem Solving.
• KPI Analysis & Performance Tracking: Monitor warehouse performance, analyze key performance indicators (KPIs), and identify opportunities for continuous improvement.
• Process Improvement & Cost Optimization: Drive productivity enhancements, logistics cost optimization, and continuous improvement (CI) initiatives.
• Stock Discrepancy & Issue Resolution: Investigate stock discrepancies, product damage, shortages, and claims, and implement corrective and preventive actions (CAPA).
• Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, Business Administration, or a related field.
• Minimum GPA of 2.70 for undergraduate and 3.30 for postgraduate studies.
• Good command of English (TOEIC score of 550 or higher).
• Minimum 1-3 years of experience in warehouse management operations.
• Proficient knowledge and hands-on experience in Warehouse Management Systems (WMS) and ERP software (e.g., SAP).
• Direct experience in managing both in-house operations and outsourced.
• Team Leadership & People Management: Strong leadership skills with the ability to manage, motivate, and develop warehouse personnel.
• Problem Solving & Analytical Thinking: Analytical and structured problem-solving skills to effectively investigate inventory discrepancies and handle operational issues.
• Problem Solving & Communication: Resolve operational issues proactively and ensure effective communication with all stakeholders.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Electronics, Automation

ประเภทงาน:

งานประจำ

• Develop and provide analytical support for BI solutions released to the business.
• Proactively collaborate with stakeholders in all levels of the company.
• Gather requirements from business stakeholders.
• Execute testing needed to assure the desired functionality and data integrity of solutions meet the business requirements and deadlines.
• Proactively identify data quality issues and recommend data integrity checks to alert users when such issues occur.
• Proactively assist in communicating to users with respect to software upgrades and new features released.
• Responsible for test new technologies, software upgrades and new features released, consults with IT relative partners and/or users on appropriate of new technologies.
• Hot line and user help desks, and provide the appropriate training on user.
• Coordinates all systems maintenance projects.
• Responsible for all functions that is assigned by supervisor and CIO.
• Who are we looking for?.
• Bachelor degree in Computer, Electronics, or IT related field.
• Minimum 1 years of experience in an IT Business Analysis role or any programming.
• Ability to understand complex business system processes and clearly articulate business requirements.
• Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source system data and data samples).
• Proficient in one of BI tool such as SAPBI, Microsoft PowerBI, Tableau, Qlikview, etc.
• Proficient in database, data structure knowledge.
• Professional experience in successfully supporting users reporting and data needs.
• Some experience with SAP-ERP/HANA/BW/MSSQL is a plus.
• Good interpersonal skill with high innovative and creative idea, self management, strong time management and problem solving skills.
• Enthusiastic and active person with ability to work under pressure.
• Fair-to-Good English communication skills.
• The desire to be a strong team player.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Industrial Engineering, Statistical Analysis, Project Management, Data Analysis, Automation

ประเภทงาน:

งานประจำ

• Business Opportunity Identification: Identify business opportunities and performance gaps through data analysis across retail operations, merchandising, customer, supply chain and strategic projects. Translate business questions into analytical approaches and prioritize high-impact opportunities. Proactively identify where the business should focus next.
• Analytics & Insight Generation: Develop analytical models to identify sales opportunities, range gaps, productivity improvement, customer behavior, store performance an ...
• Translate Insights into Execution Plans: Work closely with project managers and business stakeholders to transform analytical findings into actionable execution plans. Support initiative design by defining opportunity sizing, success metrics, KPIs, pilot scope and expected impact. Ensure insights are translated into measurable business actions.
• Data Foundation & Analytical Enablement: Develop and maintain reusable datasets, dashboards, SQL scripts and analytical models that enable faster business decision-making. Improve data accessibility for project teams by automating repetitive analysis whenever possible. Act as the team's technical expert in data preparation and analytics.
• Cross-functional Business Partnering: Partner with Merchandising, Operations, Supply Chain, Digital, Finance and other business functions to validate findings and refine recommendations. Facilitate discussions using data as objective evidence to support decision making.
• Strategic Project Analytics: Support strategic transformation initiatives by defining KPIs, tracking benefits realization, measuring pilot performance, evaluating business impact and conducting post-implementation reviews. Provide ongoing analytical support throughout the project lifecycle.
• Coaching & Capability Building: Improve the team's analytical capability by coaching colleagues on interpreting data, asking the right business questions, understanding KPIs and using dashboards effectively. Help establish best practices for data-driven decision making within the team.
• 6+ years in Data Analytics, Business Analytics, Strategy, Consulting or Retail Analytics.
• Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Experience working closely with business teams instead of purely technical analytics teams.
• Experience supporting senior management or strategic projects is highly preferred.
• Strong proficiency in SQL (Databricks preferred), Python, and Power BI / Tableau; handling large-scale retail datasets.
• Experience developing analytical models, forecasting, segmentation, hypothesis testing, statistical analysis and automation (Correlation, Regression, etc.).
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Strong business acumen with the ability to connect data to commercial decisions.
• Ability to translate ambiguous business problems into structured analytical frameworks.
• Strong problem-solving mindset with experience identifying root causes and recommending practical business solutions.
• Skilled in process improvement, project management, and data analysis.
• Excellent stakeholder management and presentation skills.
• Strong storytelling using data and ability to simplify complex analysis for non-technical audiences.
• Ability to work independently in a fast-paced business environment with a strong business partnering.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Financial Reporting, Digital Marketing, Automation, Leadership Skill, eCommerce

ประเภทงาน:

งานประจำ

• Discovery & Requirements.
• Lead requirement-gathering conversations and workshops with e-commerce operations and finance stakeholders, and support country operations and finance leads across all six SEA markets.
• Map how operations and finance data flows across PowerSell, the Finance Data Warehouse, and marketplace Seller Centre sources, to identify what a country team actually needs versus what they're asking for.
• Translate open-ended questions (e.g. "why is reported GMV not matching finance's reconciled revenue for this market") into concrete, structured data requirements.
• Maintain a prioritized backlog of operations and finance analytics requests, working the hub-and-spoke model with the central Data Engineering / BI team in Vietnam and Indonesia.
• Analysis & Solutioning - Domain and Technical.
• Own end-to-end e-commerce operations analytics: SKU/category performance, pricing and promotions, marketplace P&L, and fulfilment/returns - reconciled against Finance Data Warehouse actuals.
• Write your own SQL and build/validate your own dashboards rather than fully depending on the central BI team - pairing with a Vietnam- or Indonesia-based analyst for heavier pipeline or engineering work.
• Validate and reconcile operations and finance numbers against each other, escalating recurring data quality or reconciliation issues to the central Data Governance & Quality function.
• Interpret third-party market intelligence and digital shelf vendor data for competitive and category context, understanding the strengths and known limitations of each data source.
• Insight Delivery & Stakeholder Management.
• Present operations and finance insights and recommendations directly to country operations and finance leads and regional leadership - not just a finished dashboard, but a point of view on what to do next.
• Proactively surface non-obvious patterns and discrepancies across markets, rather than only answering questions as they're asked.
• Act as the operations and finance domain's voice within Data & Analytics, feeding requirements into the central data engineering roadmap - including Intrepid's ongoing move from crawled Seller Centre data to official platform APIs for commercial and operational metrics.
• Governance, Documentation & Scale.
• Maintain operations and finance-specific metric definitions (e.g. GMV, net revenue, category margin), feeding into Intrepid's broader BI Business Glossary and semantic layer.
• Document reconciliation methodology between operational and financial reporting to ensure consistency of definitions across all six markets.
• Contribute to operations and finance data quality monitoring, flagging recurring issues as candidates for automation.
• AI-Native Analytics & Proactive Insight Generation.
• Use AI tools such as Claude to move operations and finance reporting from reactive, end-of-month reconciliation toward proactive, continuous insight - automated anomaly and discrepancy detection, and "so what" summaries generated alongside the numbers.
• Prototype and pilot AI-assisted analytics workflows - automated reconciliation-variance alerts, pricing/margin anomaly detection, natural-language querying over operations and finance data - in partnership with the central Data Engineering team.
• Continuously evaluate where GenAI can replace manual, repetitive reconciliation and reporting effort, and hand off validated use cases into Intrepid's broader AI transformation and automation roadmap.
• Technical & Data Capabilities.
• Hands-on SQL and dashboarding experience (e.g. Apache Superset, Looker, Power BI, or similar), with the ability to validate and reconcile data from multiple sources yourself.
• Working knowledge of e-commerce operations data structures - SKU/category, pricing and promotions, fulfilment and returns - and basic finance/reconciliation concepts (GMV vs. net revenue, margin, accruals).
• Experience with or exposure to marketplace Seller Centre data (Shopee, Lazada, TikTok Shop) and finance data warehouse reporting is a strong plus.
• Comfort working with third-party vendor datasets (market intelligence, digital shelf) and reconciling discrepancies between sources.
• Genuine, hands-on experience using Claude or other GenAI tools (e.g. ChatGPT, Gemini) for real analytical work - generating and debugging SQL, summarizing large or messy datasets, drafting stakeholder-ready insight narratives - not just casual or occasional use.
• Comfort experimenting with AI agents or no/low-code workflow automation tools (e.g. n8n) to prototype proactive, always-on insight generation rather than one-off, on-request dashboard pulls.
• Working prompt-engineering literacy - able to get reliable, decision-useful analytical output from an AI tool, and to know when to trust it and when to verify it.
• Operations & Finance Domain and Business Analyst Capabilities.
• Deep understanding of e-commerce marketplace operations: pricing and promotions mechanics, fulfilment and returns, and category/SKU management.
• Working understanding of finance and reconciliation concepts sufficient to bridge operational and financial reporting.
• Strong requirements-gathering and stakeholder management skills, with the ability to operate with minimal oversight across multiple country operations and finance teams.
• Excellent communication skills, able to bridge business/operations, finance, and technical/data audiences.
• Preferred Experience.
• 4-6 years of combined experience across e-commerce operations analytics, finance analytics, business analysis, or data analysis roles.
• Prior experience in e-commerce marketplace operations or finance reporting in Southeast Asia.
• Experience covering multiple markets or countries remotely from a regional hub.
• Exposure to finance reconciliation or data warehouse reporting systems.
• Prior experience building or piloting an AI-assisted or automated reporting/insight workflow, even informally, is a strong plus.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Marketing Strategy, Digital Marketing, Leadership Skill, eCommerce, Power BI

ประเภทงาน:

งานประจำ

• Marketing Measurement & Incrementality.
• Own attribution and incrementality analysis for marketing spend - going beyond last-click or platform-reported attribution to assess the true causal impact of media investment.
• Design and interpret incrementality reads (e.g. holdout tests, geo experiments) and, where relevant, build or interpret marketing mix modelling (MMM) to separate incremental lift from correlation.
• Analyze cross-channel effects - for example, whether TikTok investment subsequently lifts Shopee or Lazada sales, shifts search behaviour, or drives new customer acquisition - rather than evaluating each channel in isolation.
• Customer Analytics.
• Run cohort analysis to understand acquisition, repeat purchase, and retention patterns across markets and channels.
• Build or interpret lifetime value (LTV) views, and identify which marketing activities are driving valuable, retained customers rather than only immediate conversions.
• Connect customer-level patterns back to media investment decisions - informing not just "did this campaign convert" but "did it acquire customers worth keeping.".
• Proactive Exploration & Insight Generation.
• Explore marketing and commerce data on your own initiative to surface non-obvious patterns and anomalies - this is a core expectation of the role, not a bonus behaviour.
• Present findings and recommendations directly to country marketing leads and regional leadership as a point of view, not just a finished chart.
• Use AI tools such as Claude where they genuinely accelerate this work - automated anomaly flags, drafting narrative summaries, natural-language querying - while keeping the analytical judgment and causal reasoning your own.
• Gather requirements from country marketing stakeholders and translate open-ended questions into structured data problems, working the hub-and-spoke model with the central Data Engineering / BI team in Vietnam and Indonesia.
• Write your own SQL, build/validate your own dashboards, and reconcile Marketing Dashboard numbers, escalating recurring data quality issues to the central Data Governance & Quality function.
• Maintain marketing metric definitions and methodology (including attribution and incrementality methodology) in Intrepid's BI Business Glossary, so the more advanced measurement work above stays consistent and reproducible across markets.
• Marketing Measurement & Statistical Capabilities - Core.
• Strong, hands-on grasp of attribution methodology beyond last-click or platform-reported numbers - multi-touch attribution and incrementality testing (e.g. holdout or geo experiments); hands-on MMM experience is a strong plus.
• Comfortable applying statistical/analytical techniques - experimentation and test design, regression analysis, and time-series/cohort analysis - to answer causal questions about media impact, not just describe correlations.
• Demonstrated ability to reason about cross-channel effects (e.g. does TikTok spend show up in Shopee/Lazada sales, search demand, or new customer acquisition) rather than analyzing each platform in isolation.
• Customer Analytics.
• Practical experience with cohort analysis, customer acquisition and repeat purchase/retention metrics, and lifetime value (LTV) modelling.
• Ability to distinguish marketing activity that drives immediate conversion from activity that drives durable, valuable customers.
• Analytical Curiosity.
• A track record of exploring data unprompted and surfacing findings nobody explicitly asked for - we will assess this directly, not just requirements-gathering or dashboard delivery skills.
• Technical & Data Capabilities.
• Hands-on SQL and dashboarding experience (e.g. Apache Superset, Looker, Power BI, or similar), with the ability to validate and reconcile data from multiple sources yourself.
• Experience with or exposure to e-commerce marketplace data (Shopee, Lazada, TikTok Shop) is a strong plus, given Intrepid's Martech and Analytics focus.
• Comfortable using Claude or other GenAI tools to accelerate analysis - SQL generation, summarizing large datasets, drafting narratives. Valuable, but secondary to the measurement and statistical capabilities above; we weight causal reasoning ability well above GenAI or low-code tool fluency.
• Marketing Domain & Business Analyst Capabilities.
• Solid understanding of marketing strategy - media mix, channel economics, campaign planning - sufficient to frame the right measurement questions.
• Baseline requirements-gathering and stakeholder management skills, with the ability to operate with minimal oversight across multiple country marketing teams. This is expected competence, not the primary differentiator for this role.
• Excellent communication skills, able to explain causal/statistical findings to a non-technical marketing audience without losing the nuance.
• Preferred Experience.
• 6+ years of experience with meaningful exposure to marketing measurement, growth/customer analytics, or applied statistics - not simply BA or dashboard-reporting experience.
• Hands-on experience with an MMM framework (e.g. Robyn, LightweightMMM) or having designed and run incrementality/holdout tests.
• Prior experience in e-commerce, marketplaces, or digital marketing in Southeast Asia.
• Experience covering multiple markets or countries remotely from a regional hub.
• Prior experience building or piloting an AI-assisted analytics workflow is a plus - but not a substitute for the statistical and measurement depth above.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Problem Solving, Leadership Skill, Teamwork, Cloud Computing, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines, data products, and enterprise data.
• models that support analytics, reporting, machine learning, and AI initiatives across.
• Lumentum.
• Build and optimize modern data architectures using Databricks, Delta Lake, Spark, SQL,.
• and cloud-native technologies to enable high-performance analytics and trusted business.
• insights.
• Develop and maintain curated semantic layers, business metrics, and governed datasets.
• that power self-service analytics and conversational AI solutions such as Databricks Genie.
• and other natural language query platforms.
• Partner with business stakeholders across Sales, Operations, Manufacturing, Supply Chain,.
• Finance, and HR to translate business requirements into scalable data solutions and.
• reusable data assets.
• Enable business users to interact with enterprise data through natural language interfaces.
• by designing data models, metadata frameworks, business glossaries, and governance.
• standards that improve AI-generated insights and query accuracy.
• Collaborate with Data Scientists, Analytics Engineers, and BI developers to support.
• advanced analytics, predictive modeling, and AI-driven decision-making.
• Establish data quality, lineage, observability, and governance frameworks to ensure trusted,.
• secure, and compliant enterprise data assets.
• Design and implement enterprise-wide KPI frameworks and metric definitions to create a.
• source of truth across functional domains.
• Optimize data performance, reliability, and scalability while reducing technical debt and.
• improving platform efficiency.
• Support the development of AI-enabled analytics capabilities, including retrieval-augmented.
• generation (RAG), vector search, knowledge repositories, and semantic search.
• solutions that enhance data discovery and business productivity.
• Drive adoption of modern data engineering best practices including CI/CD, Infrastructure as.
• Code, automated testing, and data lifecycle management.
• Partner with leadership and analytics teams to advance Lumentum's vision of a centralized,.
• AI-enabled analytics organization.
• Degree in Computer Engineering, Computer Science, IT, or related fields.
• 10+years of hands-on experience as a Data Engineer or similar role.
• Strong SQL and data modeling skills, including Databricks, Delta Lake, Spark, SQL, and.
• cloud-native technologies.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to support.
• production environments.
• Good communication, problem solving skills, and teamwork mindset.
• Excellent English proficiency (reporting to foreign national).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Assurance, English

ประเภทงาน:

งานประจำ

• Data Requirement Management.
• Lead requirement gathering workshops for data-related initiatives.
• Elicit, analyse, and document business data requirements.
• Define business rules, data definitions, and validation requirements.
• Maintain business glossary and data dictionary.
• Ensure consistency of master data definitions across systems.
• Collaborate with business stakeholders to establish data ownership.
• Data Migration.
• Analyze legacy data structures and business rules.
• Develop Source-to-Target Mapping (STTM) documents.
• Define data transformation and conversion requirements.
• Document migration rules and cleansing requirements.
• Support migration planning and execution.
• Coordinate migration testing and business validation.
• Perform reconciliation between legacy and target systems.
• Support migration sign-off activities.
• Reporting.
• Gather and document reporting and dashboard requirements.
• Define report layouts, business KPIs, filters, and calculation logic.
• Produce Reporting Requirement Specifications.
• Work with development and BI teams to ensure reports meet business expectations.
• Support report validation during SIT and UAT.
• System Integration & Interface.
• Gather business requirements for system interfaces and integrations.
• Define data mapping between source and target systems.
• Document interface specifications, validation rules, and error handling.
• Support API and batch interface requirement analysis.
• Coordinate interface testing with project teams.
• Data Quality & Governance.
• Define business data validation rules.
• Support data quality assessments and issue resolution.
• Ensure compliance with enterprise data governance standards.
• Maintain data lineage and traceability documentation.
• Participate in data governance initiatives and standards development.
• Project Delivery Support.
• Collaborate with Business Analysts, Solution Architects, Developers, QA, and Vendors.
• Participate in project estimation and planning.
• Support SIT, UAT, and Production Verification.
• Facilitate data walkthrough and requirement review sessions.
• Track data-related risks, assumptions, issues, and dependencies.
• Ensure end-to-end traceability from business requirements to implemented data solutions.
• Bachelor's degree or higher in Business Administration, Information Technology or other related fields.
• Minimum 5 years' experience in Business Analyst with a strong focus on data-related initiatives.
• Experience in Insurance or Financial Services is highly preferred.
• Proven experience in data migration, reporting, integration, or enterprise system implementation.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and interpersonal abilities.
• Proficiency in requirement gathering techniques, process modeling, and documentation.
• Familiarity with project management methodologies and software development lifecycle.
• Ability to collaborate effectively with cross-functional teams.
• Knowledge of relevant tools such as Microsoft Offices, JIRA, Trello, etc.
• Proficiency in documentation in both Thai and English.
• Good English communication skills (written and verbal).
• Tools and Technology.
• SQL Server / PostgreSQL.
• Advanced Excel.
• Data migration and reconciliation frameworks.
• AI-assisted tools for: SQL query generation and optimization, Data quality and anomaly detection.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Power BI, Tableau, SQL

ประเภทงาน:

งานประจำ

• รวบรวมและวิเคราะห์ความต้องการด้านธุรกิจและข้อมูลจากลูกค้าและทีมงานภายใน.
• จัดทำและจัดเตรียมเอกสาร Business Requirement Document (BRD), Data Flow, และ Process Flow.
• วิเคราะห์ข้อมูลเบื้องต้นโดยใช้เครื่องมือ เช่น SQL, Excel, Power BI.
• สร้างรายงานเชิงวิเคราะห์เพื่อสนับสนุนการตัดสินใจทางธุรกิจ.
• ประสานงานกับทีมพัฒนาเพื่อออกแบบโซลูชันที่ตอบโจทย์ทางธุรกิจ.
• วุฒิการศึกษาระดับปริญญาตรีหรือสูงกว่าในสาขาวิทยาการคอมพิวเตอร์ สถิติ วิศวกรรม หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ในการวิเคราะห์ข้อมูลและจัดทำรายงานเชิงวิเคราะห์อย่างน้อย 2 ปี.
• มีความสามารถในการใช้ SQL, Excel และเครื่องมือ BI เช่น Power BI หรือ Tableau.
• เข้าใจหลักการของ Business Process และสามารถเขียนเอกสาร BRD ได้.
• มีทักษะการสื่อสารและทำงานร่วมกับทีมข้ามสายงานได้ดี.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Budgeting

ประเภทงาน:

งานประจำ

• Develop and deliver accurate and timely daily, monthly, and ad-hoc analytical reports.
• Monitor business performance and key operational indicators through regular reporting and analysis.
• Validate data accuracy and consistency and ensure high-quality reporting.
• Analyze complex data, identify key findings, and provide clear recommendations to management.
• Business Performance Analysis.
• Analyze business performance, KPIs, trends, and key business drivers.
• Evaluate the financial impact, cost-benefit, and ROI of business initiatives, including sales campaigns, incentive schemes, and delinquency management programs.
• Conduct forecasting and what-if scenario analysis to support business planning and decision-making.
• Collaborate with Budgeting, Controlling, and business stakeholders to provide data-driven insights.
• Dashboard & Data Visualization.
• Design and develop dashboards and data visualizations to support management and business users.
• Enhance reporting and analytical frameworks to improve business performance monitoring.
• Promote data-driven decision-making through effective visualization and presentation of insights.
• Provide guidance and coaching to junior Data Analysts on analytical and visualization best practices.
• What we're looking for.
• Bachelor's or Master's degree in Data Analytics, Business Analytics, Statistics, Finance, Economics, Business Administration, Information Technology, or a related field.
• Minimum 5 years of experience in Data Analytics, Business Performance, Business Intelligence, FP&A, or a related field.
• Strong experience in data analysis, KPI analysis, business performance reporting, and dashboard development.
• Strong knowledge of Microsoft Excel and Power BI; experience with SQL, Tableau, Python, or other data analytics tools is an advantage.
• Experience in budgeting, forecasting, financial analysis, ROI, or cost-benefit analysis.
• Strong analytical and problem-solving skills with the ability to translate data into actionable business insights.
• Strong communication and presentation skills, with the ability to communicate complex information to management and business stakeholders.
• Experience in coaching or mentoring junior team members is an advantage.
• Good command of English, both written and spoken.
• Special and Specific Knowledge and Skills.
• Proficient knowledge in data visualization using tools like Tableau.
• Experience in QlikView (BI tool) is a plus.
• Proficiency in Microsoft Office program.
• Well communicate with technical and business audiences.
• Passionate about solving problems - possesses a relentless need for investigation and data exploration.
• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.
• Analytical skill.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Leadership Skill, Python

ประเภทงาน:

งานประจำ

• Location of CP AXTRA (Head Office) 3-4 Days: https://share.google/V5Q7MuC44FS341Xhx.
• Location of CP AXTRA Lotus's (Nawamin Office) 1 day: https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6.
• Working style.
• 4-5 Days at the office + work from anywhere.
• Accompany senior management on store visits on Saturdays (half-day or full-day, not every week.
• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years.
• of experience in.
• Data Platform Engineering, Data Engineering, Big Data, or AI Platform development,.
• with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
• Experience with LLM, RAG, AI Chatbots, Agentic AI, Vector Databases, Embedding Pipelines, Feature Store, or Recommendation Systems is highly preferred.
• Experience integrating enterprise applications through REST APIs, event-driven architectures, and microservices.
• Strong understanding of Data Governance, Data Quality, Data Lineage, Metadata Management, Data Security, and Data Observability.
• Experience with Azure, AWS, or Google Cloud Platform is preferred.
• Experience with Git, Docker, Kubernetes, CI/CD, DataOps, MLOps, MLflow, or Infrastructure as Code is an advantage.
• Retail, Wholesale, or E-Commerce industry experience is highly preferred.
• Proven track record in delivering enterprise AI platforms, data platforms, or large-scale analytics solutions.
• Strong analytical thinking, problem-solving, communication, stakeholder management, and leadership skills.
• Passion for building scalable engineering platforms, mentoring teams, and delivering business impact through data and AI.
• 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:

5 ปีขึ้นไป

ทักษะ:

Accounting, Korean

ประเภทงาน:

งานประจำ

• Support internal management decision-making by producing business performance analysis which is identified, measured and delivered economic information of business activities by accounting method.
• Establish management and execution plans and conduct financial supports such as managing actual implementation of plans to maximize business performance.
• Optimize and efficiently manage internal policy & procedure based on business accounting standards and business circumstance.
• Role and Responsibilities.
• Controlling] Participate in and make a regular report on management activity plans (sales, manufacturing, marketing, development) and performances every month or a report for each management issue frequently. 2. [CO Closing] Participate in analyzing profits and providing a production cost management model, calculating production costs by product and model or unit project like sales and development. 3. [Budget & Investment Control] Participate in establishing and managing a budget plan for our company's available resources like expense and investment. 4. [Policy & Procedure Management] Participate in managing and maintaining internal policies and processes according to corporate accounting standards and management condition. Skills and Qualifications.
• Experienced professional with full understanding on specialized areas; resolves a wide range of issues in creative ways.
• Works on problems of diverse scope where analyzing data requires evaluating identifiable factors. Demonstrates good judgement in selecting methods and techniques for obtaining solutions.
• Normally receives little instruction on day-to-day work and receives general instructions on new assignments.
• Typically requires minimum 5 years' of related experience and a Bachelor's degree, or 3 years and a Master's degree; or a PhD without experience.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development

ประเภทงาน:

งานประจำ

• Work with the team to propose new business models and opportunities in the energy sector, focusing on digital infrastructure and Data Center developments to create sustainable expansion opportunities in Thailand.
• Seek and select business opportunities in new projects such as Wind, Solar Rooftop, EV Chargers, และ Data Center Co-location/Enterprise facilities in line with the company's policies.
• Analyze the synergy between renewable energy solutions and high-demand energy consum ...
• Project Execution & Analysis.
• Collaborate in the development, planning, and analysis of business projects, strategies, and comprehensive financial models, including feasibility studies for Data Center site selection and energy infrastructure integration.
• Develop and implement projects and drive new Wind, Solar Rooftop, and EV Charger initiatives, specifically targeting energy supply solutions for Data Centers to ensure 24/7 green power reliability.
• Conduct due diligence and develop a deep understanding of clients' businesses, with a focus on the technical and energy requirements of the cloud service and telecommunications industries.
• Partnership & Financial Strategy.
• Build sustainable business partnerships with both public and private sectors, including Hyperscalers and Data Center operators, to enhance business growth.
• Study mergers and acquisitions (M&A) both domestically and internationally, evaluating potential targets in the renewable energy and digital infrastructure space.
• Formulate and execute financial and commercial strategies tailored to client objectives, addressing the unique CAPEX/OPEX structures of energy-intensive assets.
• Leadership & Reporting.
• Prepare and oversee the development of pitch decks and presentations that highlight the value proposition of integrated energy-data solutions.
• Prepare accurate marketing and progress reports systematically for management to support strategic decision-making.
• Support and guide team members in financial modeling and transaction execution (for senior roles).
• Bachelor's in Engineering,Electrical Engineering or related fields.
• Master's degree in Finance,MBA or related fields.
• At least 3-7 years of experience in developing Wind, Solar Rooftop and Digital infrastructure and Data Center Developments Projects, EV Charger projects or related work.
• Experience in business project planning and analysis, business strategy, financial model analysis, and feasibility studies.
• Experience in Investment Banking, Private Equity, Corporate Finance, or a related financial sector.
• Relevant experience in the energy industry will be considered a plus.
• Strong presentation and negotiation skills.
• Proficient in Microsoft Office.
• Good command of English, with a minimum TOEIC score of 700.
• Knowledge of sales processes and methods, as well as an overall understanding of energy business strategy development.
• Basic legal knowledge, including NDAs, PPAs, and land contracts.
• How to apply.
• Click APPLY NOW for submit your application.
• Interested candidates are invited to send with full resume, stating present and expected salaries, and enclosing a recent photograph to the address below.
• Working Location: Park Ventures Ecoplex, BTS Phloen Chit.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Business Development, Salesforce, Customer Relationship Management (CRM), Mandarin, English

ประเภทงาน:

งานประจำ

• Join Solenis as Business Development Manager to be a part of our growing Data Center team and play a.
• key role.
• in expanding our presence across Thailand's data center market. In this role, you will drive strategic business development initiatives, build relationships with key stakeholders across the data center ecosystem, and position Solenis as a trusted partner for sustainable water treatment solutions. Your Role at a Glance: Drive Data Cent ...
• What You'll Bring.
• to Us Bachelor's degree in Engineering, Chemistry, Environmental Science, or a related technical field. Minimum 5-8 years of experience in water treatment, industrial services, industrial chemicals, or related industries. Exposure to data center environments or other mission-critical industries is preferred. Proven experience in business development, technical sales, or key account management. Basic understanding of cooling water systems, industrial water treatment programs, or facility operations. Strong communication, presentation, and stakeholder management skills, with the ability to engage both technical and commercial audiences. Self-motivated, results-oriented, and capable of working independently in a customer-facing environment. Experience working with EPC contractors, engineering consultants, facility management companies, or industrial end users is advantageous. Familiarity with CRM platforms, particularly Salesforce, and customer compliance processes is a plus. Proficiency in English and Chinese (Mandarin) is essential.
• What We Offer.
• Continuous professional development with opportunities for career growth across a global organization. Access to a wide range of internal and external training programs through our learning platform. A collaborative, inclusive, and innovative work environment. At Solenis, we understand that not every candidate will meet every qualification listed. If you believe your skills and experience can bring value to the role, we encourage you to apply. We recognize our people as our greatest asset and offer competitive compensation, comprehensive benefits, and ample opportunities for professional growth and development. If you're looking to be part of a world-class organization and contribute to meaningful work, we look forward to hearing from you. Solenis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Business Development, Project Management, English, Thai

ประเภทงาน:

งานประจำ

• Integrate, formulate, and execute personalized omnichannel marketing strategies, covering marketing communications, multi-channel campaign management, and customer loyalty initiatives.
• Create and manage a consumer insights plan to understand trends, consumer attitudes and behaviors, functional and emotional requirements, consumption occasions, shopper needs, and translate these findings into actionable insights for brand positioning and messaging.
• Capture and analyze customer data across all communication channels throughout the customer lifecycle.
• Drive the utilization of data for commercial purposes, leading analysis and acting as a catalyst for change (insights generation, execution of action plans, measurement, and change management).
• Manage and strengthen relationships with business users to maximize data for commercial purposes and create actionable insights from various existing data sources.
• Initiate ideas, create a roadmap, and execute plans for new data acquisition to propel the business forward.
• Collaborate seamlessly with marketing, analytics, products, and IT teams on analytics deliverables and work processes.
• Key Qualification.
• Education (Minimum qualifications required).
• Bachelor / Master degree.
• Business Administration, Economics, Statistics, or a related field.
• Experience (Minimum professional experience required).
• Proven 7 years of experience in customer insights and commercial analysis, with expertise in at least one of the following fields: retail, pricing, promotions, CRM, or media measurements.
• Experience in retail, real estate industry is a plus.
• Be able to communicate in English.
• Skills and Knowledge (Minimum specifics skills and competencies required).
• A results-oriented, resilient professional who is open to collaborating with individuals from diverse data literacy backgrounds.
• Highly proficient in data analytics skills, including the use of visualization and analytical tools for commercial purposes.
• Exceptional communication and data translation abilities for effective engagement with business users, coupled with strong presentation and interpersonal skills in both Thai and English.
• A background in business development related to insights or platform solutions would be a valuable asset.
• Demonstrated excellence in project management and organizational skills, as well as strong interpersonal capabilities.

ทักษะ:

Architecture, Big Data, Teamwork, SQL, ETL

ประเภทงาน:

งานประจำ

• Data management developer is responsible for the successful delivery of business intelligence information to the entire organization and is experienced in BI development and implementations.
• Design stable, reliable and effective data architecture and data mart.
• Understand of BI best practices and be able to create relational structures, dimensional data modeling, structured query language (SQL) skill, data warehouse and reporting techniques, performing ETLs and validating results with business representatives ...
• Support implemented BI solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
• Bachelor or Master Degree in Computer Engineering, Computer Science, Technology information systems, or any other IT related field.
• E.
• xperiences in data warehousing development and architecture hands-on physical/logical database and data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and teamwork.

ทักษะ:

Data Analysis, Python

ประเภทงาน:

งานประจำ

• Build and maintain datasets optimized for analytics and modeling.
• Collaborate closely with Data Engineers for data preparation and with Engineer teams for model deployment and monitoring.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience developing machine learning or statistical models for business problems.
• Strong programming skills in Python or similar languages for data analysis and modeling.
• Experience with data analysis, feature engineering, and model evaluation.
• Familiarity with ML frameworks and data visualization tools.
• Understanding of model deployment and monitoring concepts.

ทักษะ:

node.js, Python

ประเภทงาน:

งานประจำ

• Design, develop, and integrate AI/ML models into scalable production applications.
• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.

ทักษะ:

Continuous Integration, Automation, DevOps, Cloud Computing

ประเภทงาน:

งานประจำ

Bachelor's degree in Computer Science, Information Technology, or related field. Experience with CI/CD pipelines and automation tools. Strong knowledge of cloud infrastructure and container technologies. Experience managing infrastructure for scalable applications or data workloads. Familiarity with infrastructure-as-code and system monitoring tools. Understanding of system reliability, availability, and security practices. Able to work onsite at SCG Bang Sue Head office.

ทักษะ:

Business Development

ประเภทงาน:

งานประจำ

• Act as Regional Project Manager APAC for the Data Center ramp-up initiative and serve as the central regional coordination point within the global project structure.
• Support the Head of Business Development APAC in the strategic alignment and operational development of the entire APAC market.
• Provide technically competent project support, including requirement clarification, fan selection, aerodynamic, acoustic, electrical and control-related evaluation, documentation, project-specific measurements and technical modifications.
• Coordinate APAC workstreams and relevant functions, including Industrial Engineering, Purchasing, Operations, R&D, Quality, IT and HR, while ensuring alignment with global functions and project leadership.
• Translate global and regional objectives into structured execution plans with clear ownership, priorities, decisions, milestones, next steps and transparent escalation of blockers.
• Identify, aggregate and prioritize market trends, customer requirements, competitor intelligence and differences between local, regional and global specifications.
• Develop and qualify new business opportunities and customers; coordinate customer engagement, sales campaigns, events, trade fairs and regional go-to-market activities.
• Convert market and customer requirements into product and application requirements and align specifications and solution concepts with Project Engineering, Application Engineering and Product Units.
• Structure and track opportunities, quotations, business cases, resource and budget requirements and KPIs; follow through from opportunity development to ramp-up and project completion.
• Build and maintain the APAC Data Center network, provide regular market and project updates, and define and conduct training for sales and relevant stakeholders.
• Degree in engineering, business administration or a comparable field; a strong technical-commercial profile is preferred.
• Several years of practical experience in regional project management, business development, technical sales, project engineering or market segment management.
• Proven ability to coordinate execution across multiple market segments, sales entities and cross-functional stakeholders in an international matrix organization.
• Ability to establish ownership, prepare decisions, align priorities, manage dependencies and drive implementation across regional and global interfaces.
• Strategic and analytical thinking with the ability to convert market intelligence and global objectives into regional priorities, business cases and implementation plans.
• Sound technical understanding of air technology and Data Center applications, including fans, drives, airflow, pressure, efficiency, acoustics, electrical data and control concepts.
• Ability to clarify technical customer requirements, evaluate standard and project-specific solutions, and coordinate technical quotations, documentation, measurements and product modifications.
• Strong commercial understanding, customer orientation, financial acumen, negotiation and communication skills.
• Excellent English skills; additional APAC language skills are beneficial.
• Strong networking, intercultural collaboration, facilitation, presentation and training skills.
• Structured problem-solving, risk management and project reporting capabilities, flexibility and willingness to travel across APAC.
• Proficiency in common office, project management, CRM, and SAP.
• Head of Business Development APAC.
• Global Ramp-Up Manager, global project leadership and global function representatives.
• APAC Managing Directors, sales entities and regional project stakeholders.
• Regional and corporate Market Segment Managers across all market segments.
• Industrial Engineering, Purchasing, Operations, R&D, Quality, IT and HR in APAC.
• Regional Field Sales, Sales Management and Business Development.
• Global Key Account Management and Key Account Management.
• Project Engineering, Application Engineering and Application Experts.
• Product Units Ventilation, Product Management and technical competence centers.
• Business Excellence, Marketing and Public Affairs.
• Customers, consultants, operators, system integrators, OEMs and relevant Data Center industry networks.
• Business Development Worldwide and other regions.
• Yearly performance bonus.
• Comprehensive private health insurance.
• Provident fund contribution.
• Work from home possibilities.
• Opportunities for professional development and international exposure in a global group.
• Modern working environment in a stable, innovative company focused on quality and sustainability.
• Additional benefits in line with Thai labor law and company standards (e.g. paid leave, social security, overtime compensation where applicable).

ทักษะ:

Project Management, Architecture, Power BI, Cloud Computing, English

ประเภทงาน:

งานประจำ

• 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.