The Critical Facilities Supervisor leads onsite plant operations and the safe, reliable, compliant delivery of 24/7 maintenance services at a mission-critical data center. The role supervises Plant Operations personnel, oversees preventive and corrective maintenance, manages risk and escalation, and monitors service delivery against client SLAs, KPIs, budgets, safety requirements, and procedures. The position requires at least eight years of relevant experience in critical facility operations, maintenance management, or engineering, with supervisory data center experience preferred. Candidates need strong mechanical and electrical infrastructure knowledge, CMMS and monitoring platform proficiency, leadership and incident-response skills, and a bachelor’s degree in Mechanical Engineering, Electrical Engineering, or a related field.
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The Analytics role sits within the Digital & Technology division of KKP (Kiatnakin Phatra Bank) in Bangkok. The position focuses on identifying customer acquisition opportunities, optimizing lead generation, and developing cross-sell/upsell strategies through data-driven insights. Responsibilities include campaign performance analysis, A/B testing, dashboard development, regulatory reporting automation, datamart design, and translating business challenges into analytical solutions. Candidates should have 0 to 3 years of experience in Business Intelligence or Data Analytics, preferably within marketing or customer acquisition. Required skills include Python, PySpark, and SQL for large-scale data processing, along with hands-on experience in A/B testing, campaign optimization, dashboard tools (Power BI, Tableau, Databricks), and datamart deployment. A solid understanding of the financial industry is expected.
Data Analyst role at Kiatnakin Phatra Bank Public Company Limited (kkp) in Bangkok, within the Digital & Technology division. The position focuses on identifying customer acquisition opportunities, analyzing campaign performance, designing A/B tests, building dashboards, automating regulatory reports, and deploying datamarts to support marketing and sales teams. Candidates should have 0-3 years of experience in BI or data analytics, proficiency in Python, PySpark, and SQL, and hands-on experience with marketing analytics, dashboard tools, and datamart deployment. Strong analytical, communication, and cross-functional collaboration skills are required, along with familiarity with the financial industry.
This role focuses on managing the day-to-day compliance operations to ensure the organization remains audit-ready. The specialist manages the evidence collection lifecycle for ISO 27001, PDPA, and PCI-DSS, coordinates with control owners, and tracks remediation actions. Responsibilities include coordinating internal and external audit logistics, producing compliance dashboards, and maintaining documentation. The position requires strong organizational skills and the ability to manage multiple concurrent compliance workstreams.
Deloitte Southeast Asia is hiring a Consultant/Senior Consultant in Technology & Transformation (Enterprise Technology & Performance) focused on SAP Analytics Cloud and SAP BTP, based in Southeast Asia locations including Kuala Lumpur, Penang, Jakarta, Bangkok, Manila, Hanoi, and Ho Chi Minh City. The role designs, develops, and supports reporting and analytics solutions using SAP Datasphere and SAP Analytics Cloud, builds data models, dashboards, and stories, and integrates Datasphere with SAC. Additional duties include supporting BTP applications, side-by-side extensions, SAPUI5/Fiori apps, and lightweight services or APIs using CAP, SAP Build Code, or SAP Business Application Studio. Candidates need 4-10 years of experience with SAP Analytics Cloud/Datasphere plus BTP exposure, strong hands-on modeling skills, stakeholder communication, and mentoring ability. Willingness to work client hours, rotate for after-hours support, and travel to client sites is required.
This role focuses on workforce fulfillment metrics. The Data Analyst will maintain and enhance performance dashboards to provide actionable insights. Responsibilities include managing and improving databases to ensure data integrity and scalability. The position requires analyzing workforce data to identify trends and support decision-making for operational improvements.
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. **Get To Know Our Team:** Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training. **The Opportunity:** * You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers. * You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces. **What You’ll Do:** * Model governed metrics, dimensions, joins, and grain for business domains * Structure expert context, glossaries, and validated question patterns as Git-reviewed assets * Build freshness, drift, and validation signals; treat stale knowledge as a production issue * Expose the layer through APIs so applications and agents get deterministic answers * Enable domain owners to propose, review, and publish knowledge without engineering deploys * Partner across analytics, product, and platform teams on access control and quality standards **Required Qualifications:** * 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling * Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent) * Strong SQL and analytical modeling on OLAP / warehouse systems * Knowledge engineering: versioned definitions, peer review, contributor workflows * API / service mindset: you design for multiple consumers, not a single dashboard * Clear communication across engineering, analytics, and product partners **Preferred Qualifications:** * Open-source semantic layer engines (Cube, MetricFlow patterns) * Agent or tool-interface experience for LLM-powered applications * NL-to-data products, retrieval, or evaluation harnesses * Python or Node.js service development * Large-scale e-commerce or travel analytics environments
This contract role supports the analysis of daily operational data to track Sorting Center throughput and balance Speed, Cost, and Quality. Responsibilities include cleaning raw data, consolidating performance metrics into reports, maintaining dashboards, analyzing data to identify bottlenecks, and tracking SLA metrics. The role also involves providing data insights for operational solutions and supporting project follow-ups. Candidates should have a background in analysis, strong spreadsheet skills, and the ability to work under pressure.
This role is part of the Performance Marketing Team, a data-driven unit focused on developing at-scale marketing programs to improve customer lifetime value. The Associate Manager will manage digital advertising campaigns across various channels. Responsibilities include experimenting with search engine advertising, testing display campaigns on social media platforms, and analyzing data to build optimization models and dashboards. The position requires a strong analytical background and experience in strategy or business operations within the tech industry.
This role is based in Bangkok, Thailand, and involves managing customer marketing initiatives within the Performance Marketing department. The Associate Manager will lead data-driven marketing programs designed to improve customer lifetime value. Key responsibilities include optimizing campaign performance through experimentation, developing predictive models to analyze data, and building dashboards to track performance and derive insights. The position requires close collaboration with product teams to implement data science strategies and communicate recommendations to stakeholders.