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Skills:

Data Analysis, Financial Analysis

Job type:

Full-time

• Apply deep knowledge of trend, financial data, process standard and translate into actionable insight.
• Plan and develop report / presentation to support project for trial and roll out.
• Lead, collaborate and facilitate stakeholders across the business to ensure joined up approach and achieve targets together with process and budget owners.
• Track and updated project process on a regular basis, ensure the project is able to achieve milestone. Including develop mitigation plan for any critical issues occurred.
• Track/create business metrics & Key Performance Indicators (KPIs) dashboard.
• Support initiatives for data integrity and create best practice reports based on data mining, analysis and visualization.
• Train end users on new reports and dashboards to continually drive efficiencies.
• Ability to present information to stakeholders and provide initial consultation / solution.

Skills:

Good Communication Skills, Project Management, System Security

Job type:

Full-time

• What we are looking for.
• Follows operational processes and ensures that IT services and infrastructure meets operational service level agreements (SLAs). Provides non-routine technical support for computer / IT data center operations, including troubleshooting software and hardware failures. Performs installation, repair, and preventative maintenance of computer systems and related technologies. Tracks and records system performance and utilization metrics. Analyses IT systems to identify areas for improvement and developin ...
• Qualifications and Certifications: Bachelor's degree or equivalent in Computer Science or Information Technology or related field. Relevant vendor certifications such as ITIL foundation. Additional beneficial certifications such as CNET and CDCDP etc. Required experience: Moderate level experience in data center applications, as well as server and non-desktop computer hardware, software, systems and other resources within a data center setting. Moderate level experience in a similar role, with strong understanding of IT and data center operations.
• As the third largest data center provider, we operate over 150 data centers in more than 20 countries and regions. We understand that every business - large and small - has its own unique needs and goals. We offer local-to-global data center expertise, aligned with our connected platform of AI-ready data centers to create solutions that enable our clients to seamlessly scale their digital businesses, anywhere and anytime. NTT Global Data Centers 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.

Skills:

Financial Analysis, Recruitment, Accounting, English

Job type:

Full-time

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Experience:

6 years required

Skills:

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

Job type:

Full-time

• 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.

Experience:

6 years required

Skills:

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

Job type:

Full-time

• 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.

Skills:

Leadership Skill, Teamwork

Job type:

Full-time

• Translate business requirements/ problems into BI or data analytics solutions.
• Evaluate business processes, anticipate requirements, uncover or advise areas for business improvement, and implement BI solutions establish performance reporting and management information requirements with the team.
• Analyze performance and collate plans from the Leadership team to support the delivery of the long term plan.
• Consolidating data for reporting and dashboard data updates. And identify patterns and trends in data sets, define new data collection and analysis processes.
• Developing and analytic reports to solve business problems and recommendations based on relevant data to the relevant members of the business. Provide in-sight analysis of financial performance to Financial Leadership teams to improve financial performance and manage our investment.
• Promote strong teamwork within unit, cross-functional teamwork to drive business growth, and process efficiency.
• Deliver ad-hoc analysis and special projects as requested.

Skills:

Python, CSS, SQL

Job type:

Full-time

• Bangkok, Thailand.
• Workplace: on_site.
• Data Audit & Validation.
• Perform daily cross-checks between internal pricing data and scraped competitor prices.
• Identify discrepancies in product matching, unit conversions, and promotional mechanics.
• Ensure data accuracy before it is used for pricing decisions.
• Data Quality & Cleaning.
• Detect and correct data issues such as incorrect SKU mappings, unit mismatches, outlier prices, and scraper errors.
• Maintain clear product matching and validation standards.
• Competitive Gap Analysis.
• Analyze pricing gaps versus competitors and highlight significant deviations.
• Summarize key findings and trends for management review.
• Process Improvement.
• Develop Excel-based or simple script-based tools to streamline comparisons.
• Improve audit efficiency and support enhancements to scraper accuracy.
• Cross-Functional Collaboration.
• Work with the tech team to resolve scraping issues and validate mapping.
• Technical Skills.
• Advanced Excel skills (XLOOKUP/INDEX-MATCH, Pivot Tables, Data Validation; Power Query is a plus).
• Strong data cleaning and reconciliation ability.
• Basic SQL or Python (Pandas) is a plus.
• Understanding of HTML/CSS or VBA/Macros is a plus.
• Core Competencies.
• Exceptional attention to detail.
• Strong analytical and problem-solving mindset.
• Process-driven and able to maintain high accuracy in repetitive audits.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/4C5980ABD8/apply).

Skills:

SQL, Power BI, Python

Job type:

Full-time

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• คุณสมบัติสำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

Skills:

Data Analysis, SQL

Job type:

Full-time

• Develop aggregations and algorithms needed for reporting and analytics with low to moderate complexity.
• Implement minor changes to existing data visualization applications and reporting dashboards.
• Document modifications made to reporting applications.
• Partner with business teams to analyze requirements and identify data sources needed for analytics and reporting applications.
• Conduct full data lifecycle analysis to develop new insights for analytics and reporting dashboards.
• Provide recommendations to address data quality issues with source systems.
• Communicate approaches and findings with cross-functional teams.
• Build analytical tools to provide actionable insights into key business KPIs.
• Work with data engineers to optimize pipelines for scalability and data delivery when needed.

Skills:

Good Communication Skills, Project Management, System Security

Job type:

Full-time

• Join NTT Global Data Centers and be part of a team that drives innovation and sustainability in the digital world. With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative, innovative, and inclusive workplace where your ideas are valued, and your growth is supported.
• Your role at a glance.
• The Senior Associate IT Data Center Operations Analyst is a developing subject matte ...
• This role may also be involved in IT infrastructure projects, monitoring network stability, and coordinating tasks with vendors and internal teams to maintain efficient data center operations.
• What we are looking for.
• Follows operational processes and ensures that IT services and infrastructure meets operational service level agreements (SLAs).
• Provides non-routine technical support for computer / IT data center operations, including troubleshooting software and hardware failures.
• Performs installation, repair, and preventative maintenance of computer systems and related technologies.
• Tracks and records system performance and utilization metrics.
• Analyses IT systems to identify areas for improvement and developing solutions to optimize business processes and IT operations.
• Participates in the development of IT infrastructure projects.
• Maintains access control, data integrity, and file system security for computer / data center environment.
• Performs any other duties as required by the IT Operations management team.
• Developing knowledge of data center applications and systems.
• Developing proficiency in hardware and software systems like servers, networks and databases.
• Ability to collect and analyse system performance data to identify issues and improve IT systems.
• Ability to effectively communicate technical information to non-technical people.
• Good communication skills, both written and verbal.
• Good analytical and problem-solving skills to troubleshoot issues and devise efficient solutions.
• Developing project management skills.
• Bachelor's degree or equivalent in Computer Science or Information Technology or related field.
• Relevant vendor certifications such as ITIL foundation.
• Additional beneficial certifications such as CNET and CDCDP etc.
• Moderate level experience in data center applications, as well as server and non-desktop computer hardware, software, systems and other resources within a data center setting.
• Moderate level experience in a similar role, with strong understanding of IT and data center operations.
• As the third largest data center provider, we operate over 150 data centers in more than 20 countries and regions. We understand that every business - large and small - has its own unique needs and goals. We offer local-to-global data center expertise, aligned with our connected platform of AI-ready data centers to create solutions that enable our clients to seamlessly scale their digital businesses, anywhere and anytime.

Experience:

2 years required

Skills:

Data Warehousing, Automation, Power BI, ERP, English

Job type:

Full-time

• Manage and support the day-to-day operations of data management systems, including SAP BW.
• Develop, implement, and maintain data management processes and procedures.
• Collaborate with stakeholders to understand business requirements and data needs.
• Design and implement data storage solutions, such as databases, data warehouses, and data lakes.
• Extract, transform, and load (ETL) data from multiple sources, including SAP ERP systems and non-SAP, into the data management systems.
• Ensure data quality and accuracy by implementing data validation and reconciliation processes.
• Monitor data management systems to ensure stability, performance, and security.
• Automate data management tasks and workflows.
• Provide technical support to end-users and resolve any data-related issues.
• Analyze data and identify trends to support decision-making and strategic planning.
• Create dashboards, reports, and visualizations using BI tools such as PowerBI, etc.
• Document data management systems and processes.
• Bachelor Degree in Computer Engineering, Computer Sciences or Management Information System.
• At least 2-3 years in Management Information System or Information Technology / New Graduate are welcome.
• Specific business application and data warehousing software: SAP BPC (Business Planning and Consolidation - Financial Consolidation), IBM Planning Analytics (TM1 - Financial Projection), SAP BW (Data Warehouse), Data analytics and Business Intelligence Enterprise Asset Management (EAM), Asset Performance Management (APM), IoT for real-time operational data ingestion, sustainability management tool and carbon reporting, Intelligent automation (RPA), Aritificial Intelligence, Machine learning and Conversational User Interface (Chatbot) or related solution.
• Management Information System.
• IT system analysis.
• Good command of English language / TOEIC over 600.

Skills:

Data Entry, CPA

Job type:

Full-time

• Marketing Data Centralization.
• Collect, consolidate, and manage marketing data from multiple sources (Google, Meta, TikTok, Line OA, etc.).
• Develop and maintain a centralized data system/dashboard for tracking KPIs.
• Ad Performance Analysis.
• Monitor, analyze, and report on ad campaign performance (CPL, CPA, ROAS, CTR, etc.).
• Provide recommendations to optimize campaigns based on data-driven insights.
• Support performance marketing team with testing hypotheses and scaling winning strategies.
• Data Entry & Accuracy.
• Ensure all marketing data is entered correctly and updated in a timely manner.
• Perform regular audits of marketing datasets to maintain data integrity.
• Formula & Reporting Expertise.
• Build advanced Excel/Google Sheets reports with formulas, pivot tables, and automated dashboards.
• Generate regular performance reports for management, highlighting insights and trends.
• Cross-Functional Collaboration.
• Work closely with the Performance Marketing team to align reporting with business objectives.
• Support Marketing Communication, Content, and Event teams with data insights.
• Provide data to support budget planning, forecasting, and campaign evaluations.

Experience:

5 years required

Skills:

Assurance, English

Job type:

Full-time

• 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.

Skills:

Data Analysis

Job type:

Full-time

• Analyze operational processes and recommend improvements to enhance efficiency and effectiveness.
• Collect, interpret, and report data related to operational performance.
• Develop and implement standard operating procedures (SOPs).
• Collaborate with cross-functional teams to resolve operational issues.
• Support the implementation of new systems and technologies.
• Prepare regular reports for management on operational metrics and KPIs.

Skills:

Statistical Analysis, Microsoft Office, Web development, Data Analysis, Power point

Job type:

Full-time

• Create and build systems to support the manufacturing team, enhancing productivity and consistency.
• Foster a digital working culture by promoting the use of technology and digital tools.
• Transition manual work to systematic processes using automation and technology solutions.
• Leverage AI and Machine Learning to predict trends, optimize processes, and enhance decision-making.
• Collect, analyze, and interpret production data to identify trends, patterns, and areas for improvement.
• Develop and implement data-driven strategies to optimize manufacturing processes and improve overall efficiency.
• Maintain accurate production records and reports.
• Ability to work both shifts and office time.
• Technical Skills.
• Data Analysis: Proficiency in data analysis tools and software (e.g., MSO365, SQL, Python, Tableau, Power BI) to collect, analyze, and interpret production data.
• System Development: Ability to create and build systems to support the manufacturing team, enhancing productivity and consistency.
• Automation: Experience with automation tools and technologies to transition manual work to systematic processes.
• Soft Skills.
• Effective Communication: Ability to clearly convey information and ideas to team members and other departments.
• Team Leadership: Inspiring and motivating team members to achieve their best performance.
• Critical Thinking: Analyzing situations and making informed decisions to resolve issues.
• Adaptability: Flexibility to adjust to changing circumstances and find innovative solutions.
• Accuracy: Ensuring precision in data analysis and adherence to quality standards.
• Bachelor's degree in industrial/manufacturing engineering or management, Data Science, Logistics and Supply chain management or related field.
• Experience in both data analysis and web development.
• Experience with statistical analysis to support data-driven decision-making.
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint) for data analysis, reporting, and documentation.
• Experience with web application development using modern JavaScript frameworks is a plus.
• Excellent verbal and written communication skills in Thai and English (TOEIC score of 600 is a plus).
• Open to candidates who demonstrate a strong aptitude and willingness to learn, even with less experience.
• New Graduates Welcome.
• Location: Teparuk, Thailand.
• Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads - a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

Experience:

3 years required

Skills:

Microsoft Office, Power BI, Customer Relationship Management (CRM), English

Job type:

Full-time

• Improve the customer database quality and animate the retail teams to share best practices in customer data capture and data security.
• Ensure regular monitoring of the customer database by developing dedicated analyses and reports.
• Improve the customer data quality through the in-house data quality management tool by deduplicating customers and fix means of contact in error.
• Develop assets to train sales team on customer data management.
• Manage and ensure the compliance of customer database and its security.
• Be responsible for customer knowledge for the subsidiary by sharing retail, omnichannel, and customer-oriented insights.
• Analyze customer behaviors and retail performance, and share the analysis with all retail stakeholders to support strategic decisions.
• Anticipate local trends and customer structure evolution thanks to in-depth customer analyses.
• Accompany the customer targeting initiative with CRM analyses.
• Ensure the data quality and relevancy of the clienteling activities.
• Centralize and harmonize all customer performance related reports of the subsidiary.
• Identify the local Customer Performance KPIs to be monitored.
• Develop and maintain new local reports to follow customer KPIs by store on a regular basis.
• Define the customer performance dashboard and report strategy to streamline the existing report package.
• Act as an ambassador of customer excellence, championing the adoption and impact of customer management tools.
• Collaborate and have regular meetings with retail teams to understand customer insights and seek room for improvement on customer data usage.
• Support the wider team with driving initiatives to develop relationships and create special moments for customers.
• Contribute to the organization of customer events, including invitations, outreach, RSVPs, and logistics.
• Lead and deploy the group projects in subsidiary according to local market specificities.
• Accompany and implement group analytics initiatives, such as customer segmentations, and animate them across the subsidiary.
• Work in close collaboration with CX, OPS, Retail Compliance, and IT teams to deploy projects related to customer relations and data.
• University graduates in related disciplines with at least 3 - 5 years of experiences in CRM or customer data management, preferably in retail or hospitality business environment.
• Proficiency in Microsoft Office suite (Advanced Excel is a must).
• Good knowledge in BI tools (Power BI and/or Cognos IBM) is a plus.
• Ability to analyze and synthesize.
• Customer and business oriented.
• Organized, precise, adaptable, with a balance of strategy and execution.
• Discretion and confidentiality as priority.
• Demonstrated strong interpersonal skills with a team player attitude.
• Ability to work independently and to adapt to a fast-paced, changing environment.
• Fluent in English with excellent oral and written communication skills.

Skills:

Data Analysis, Power BI, Tableau, Python, English

Job type:

Internship

• Responsible for the development, evaluation and implementation of tools and methods with the focus on coding and programing in order to improve the manufacturing KPIs (OEE, Scrap reduction, CT, Productivity).
• Data mining or extracting usable data from valuable data sources.
• Development of algorithms for data processing and database management.
• Collaborate with cross-functional teams to develop end-to-end process over the whole value stream.
• Responsible for developing and the follow-up strategy and milestones of the Industry 4.0 Roadmap of the value stream.
• Perform cost / benefit analysis of the I4.0 solutions.
• Currently a student in Bachelor's degree in 1) Bachelor's or master's degree in data science, Computer Science, Computer Engineering, Mechanical, Mechatronic, Electrical, Automotive Engineering or related field.
• Intermediate or Advanced in English.
• experience in data analysis and data visualization software like Tableau, Power BI, etc.
• Experience with coding languages (VBA, Python, SQL database, Machine learning tools or similar.
• Strong communication and presentation.
• Strong problem-solving abilities and critical thinking skills.
• Collaboration, working with cross-functional teams.
• Interest in Engineering and Data science processes.
• Initiative and creative mindset.
• Knowledge on machine learning is beneficial.
• Knowledge about manufacturing processes (optional).
• Your advantages.
• You get a behind the scenes look into the workings of a global player - at your request outside Thailand. You are directly involved with the team and can gather practical, degree-related experience.
• Working conditions.
• Monday to Friday, 8:00 am. - 5:30 pm.
• Monthly allowance and housing allowance.
• Free lunch & transportation.
• Vacation eligibility: 1 day / month.
• Make it happen.
• Send us your application by using the I'm interested button!.
• Please include the following details with your application.
• Expected starting and ending dates of internship program.
• Expected longest internship period e.g. 4 months or 5 months.
• Deadline to get confirmation from Bosch.
• Due to high volume of candidates, only shortlisted candidates will be contacted.

Experience:

2 years required

Skills:

Data Analysis, Power BI, Python, Git, Customer Relationship Management (CRM)

Job type:

Full-time

• Data Stewardship & Integrity (Processing).
• Data Cleaning: Lead routine data cleaning initiatives for EAP countries to ensure high-quality inputs for Commercial tools and reporting.
• Access Governance: Support the SFE Mathods Manager & Commercial Data Specialist in managing data access governance and user permissioning for local entities.
• Issue Identification: Proactively spot potential data gaps or system errors before they impact end-users, developing interim solutions where necessary.
• Performance Reporting & Monitoring (Activation).
• KPI Tracking: Automate and run regular reports to monitor Behaviour KPIs (touchpoints, pipeline health) and Performance KPIs (Churn, Price Impact, C2P).
• Tool Transition: Assist in the transition from legacy Excel-based tracking to Power BI dashboards.
• Performance Trends: Analyze and flag performance trends to the SFE Methods Manager to support strategic decision-making.
• Local Country Support & Adoption (Change Management).
• Onboarding: Support the onboarding of new sales team members by providing training support to SFE Performance Coaches on commercial tools and best practices.
• User Support: Support the BPO and local entities regarding SFE tool enhancements and system updates.
• Documentation: Support SFE Methods Manager om maintain and update SFE playbooks, standard operating procedures (SOPs), and training resources to ensure regional harmonization.
• Continuous Improvement & Agility.
• Process Standardization: Collaborate with cross-functional groups to drive alignment and standardization of commercial processes.
• Innovation: Embrace new technologies (e.g., Gemini/AI) to enhance productivity in daily workflows and data analysis.
• Are you a MATCH?.
• 0-2 years of experience in a commercial, analytical, or IT support role. Prior exposure to CRM systems and/or PowerBI is a plus.
• Bachelor in Business, Engineering, Finance, IT or related field.
• Specific Training or Certification: AL AI readiness (Statistics, Python, Git, Basic ML).
• GDO Power BI level 4 certification + PBI Premium ML Ops.
• We thank you for your interest in Air Liquide. Interested applicants are encouraged to send a detailed resume, including reasons for leaving past employment. Please be informed that only shortlisted candidates will be notified.
• About Air Liquide.
• A world leader in gases, technologies and services for Industry and Health, Air Liquide is present in 78 countries with approximately 64,500 employees and serves more than 3.8 million customers and patients. Oxygen, nitrogen and hydrogen are essential small molecules for life, matter and energy. They embody Air Liquide's scientific territory and have been at the core of the company's activities since its creation in 1902.
• Our Differences make our Performance.
• At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.
• We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.

Job type:

Full-time

• Develop HR reports/dashboards, perform advanced data analysis, and oversee data quality and business processes in HRIS to offer business insights while ensuring data accuracy and operational efficiency in HRIS.
• Lead and execute HR data-related initiatives, implementing HRIS enhancements and optimizing processes for operational excellence and efficiency in HRIS..
• Develop executive-level HR reports/dashboards to drive data-driven decision-making at the management levels.
• Employ advanced analytical tools and statistical techniques to conduct complex data analysis, delivering valuable business insights and recommendations to stakeholders.
• Engage with HR teams and other teams in various functions to discern data requirements, gather pertinent HR data, and fulfill their business needs effectively.
• Oversee HRIS business processes, permission access and data quality, taking the lead in data cleansing, updates, and quality checks to ensure high-quality data for future usage and analysis.
• Lead and collaborate with multiple stakeholders, including group offices to implement new Workday modules, introducing features, and supporting HR digitization initiatives to advance HR digitization efforts.
• Mentor and guide junior data analysts in effectively operating HRIS business processes, troubleshooting incidents, and developing data analysis skills through sharing best practices.

Experience:

2 years required

Skills:

Power BI, Tableau, SQL

Job type:

Full-time

• 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.