Agoda is hiring a Data Analyst for a six-month contract within the Rocket Travel - Product department, based in Bangkok, Thailand. The role sits in the Data Analytics team and supports stakeholders across Marketing, Product, and Partners Services by delivering project-oriented analyses such as predictive modeling, customer segmentation, and dashboard design. The analyst owns projects end-to-end, from problem definition and data extraction to statistical analysis, visualization, and communication of findings. Candidates should hold a bachelor's degree in a quantitative field with up to two years of relevant experience working with large datasets and experimentation. Required skills include SQL proficiency, expert-level Excel, strong problem-solving ability, business sense, and fluent English. Experience with R or Python and visualization tools such as Tableau is a plus.
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Data Analyst role within the Data Analytics team of the Investment Solutions Department at Kiatnakin Phatra Securities, supporting wealth management with over 600 billion baht in client assets under advisory. The position collects and interprets statistical information, designs the data environment, and produces reports and presentations to help management make decisions, while acting as a data steward and coordinating with other departments on reporting and solution requirements. The role requires a Bachelor's or Master's degree in Computer Science, Computer Engineering, Applied Statistics, or a related field, plus 3-5 years of experience as a data or business analyst. Candidates should have experience with large data sets and relational databases, familiarity with data visualization tools such as Power BI or Tableau, and working knowledge of programming languages such as SQL, Python, R, or Java.
This role is ideal for someone who enjoys combining business understanding with strong technical and analytical skills. The Data Analyst will work closely with business stakeholders, product teams, and data engineers to transform complex data into meaningful insights and scalable BI solutions. Responsibilities include designing dashboards and reports, translating business requirements into scalable reporting, analyzing complex datasets to identify trends and opportunities, and building data models. The analyst will also partner with Data Engineers to ensure data quality and present findings to stakeholders.
This role supports management on business strategy and planning for driver supply within ShopeeFood, the company's food delivery service. Key duties include defining and executing strategy to improve business growth, efficiency, and P&L; analyzing short to medium term supply growth issues such as driver segmentation, conversion funnel optimization, churn analysis, market scans, and experimentation; forecasting costs for weekly, monthly, and quarterly planning cycles; and building presentations to influence senior stakeholders with data-driven recommendations. The position requires 2-3 years of relevant experience in technology firms, financial services, or top-tier management consulting. Candidates should be confident in processing complex data sets using Excel, possess an analytical mindset with strong business acumen, and have experience with AppAnnie, SQL, Tableau, and Google Suites. Advanced statistical modeling skills are a plus, along with a start-up attitude and passion for building a new consumer business.
The Associate will drive key QA projects and manage data workflows to improve compliance, efficiency, and audit accuracy across SPX operations. The role combines project management, stakeholder coordination, and data analysis to ensure smooth execution of QA initiatives and provide actionable insights to leadership. The position requires a Bachelor's degree in Business, Operations, or related fields with 2–4 years of experience in operations, data analysis, or project management. Candidates need strong skills in GSheet/Excel and SQL, experience in data cleaning and root cause analysis, and excellent communication in Thai and English. Occasional on-site visits to hubs or warehouses are required.
This role develops AI-powered tools, scripts, and automation solutions for Customer Service workflows. It also analyzes operational data and performance metrics to identify trends, root causes, process gaps, and opportunities to improve productivity, contact rate, end-to-end resolution, and customer satisfaction. The successful candidate will collaborate with SOP and CS Operations teams on workflow redesign and evaluate AI adoption and automation opportunities. Qualifications include a bachelor's degree in Computer Science, Business Analytics, Information Systems, or a related field, hands-on coding experience, strong analytical and problem-solving skills, and proficiency with Google Sheets or Excel; SQL experience is advantageous.
The Assistant Demand Planning Manager supports L'Oréal's market supply chain by building and challenging monthly consensus demand forecasts, analyzing promotional uplifts, and aligning inventory targets across retail and digital channels. The role facilitates S&OP reviews, communicates with logistics teams, uses digital planning tools and predictive algorithms, and investigates forecast discrepancies. The successful candidate has practical demand forecasting and baseline modeling capability, advanced data skills using Excel, Power BI, or enterprise APS platforms, and strong communication with commercial, marketing, and finance partners. The role also requires a continuous-improvement mindset and working English proficiency for presenting complex data to regional and transversal teams.
ERM is hiring a Principal Consultant for its Sustainability and Climate Change Advisory team in Bangkok, Thailand. The role leads ESG and climate-related consulting engagements, with emphasis on biodiversity, nature-related disclosure, and Environmental Impact Assessment (EIA), while also supporting climate change and GHG emissions work. Responsibilities include business development, client relationship management, proposal development, technical oversight of biodiversity and EIA projects, and mentoring consultants in a cross-functional regional team. Candidates need a degree in engineering, ecology, environmental science, environmental policy, or a related discipline and at least 6 years of consulting experience leading EIAs and biodiversity impact assessments. Working knowledge of TNFD, GRI 101: Biodiversity, and IFC Performance Standard 6 is required, along with experience managing EIA processes and stakeholder engagement. Familiarity with AI tools and decarbonization/Net Zero planning is advantageous.
3M Thailand Limited is hiring a Shopper Marketer for the Consumer Business Group, focused on General Trade channels including Kirana, Wholesale and other channels. Reporting to the Shopper Marketing Lead, the role develops and executes quarterly and monthly shopper marketing plans, drives trade and channel marketing initiatives aligned to portfolio strategy, and collaborates with sales teams and category development marketers on targeted programs and promotions. The position requires strong data analysis skills, use of tools such as Power BI and Excel, and management of POSM, trade and channel spend budgets. The ideal candidate holds a Master's degree in marketing, Business or a related field, with proven sales experience plus at least 2 years in shopper or trade marketing. They should have strong project management, cross-functional collaboration, and analytical problem-solving abilities, with a strategic mindset and passion for innovation.
The role is a contract position in Bangkok focused on Service Point and Parcel Shop operations for SPX Express. The successful candidate will resolve daily operational issues, support parcel acceptance, sorting, bagging, returns, and handover to middle-mile or linehaul logistics, while coordinating shop escalations with internal teams. The position also involves onboarding and training retail shops, agency partners, or franchise outlets, recommending workflow and digital-tool improvements, and tracking feedback to refine operational guidelines. Candidates need a bachelor's degree or above, strong analytical and problem-solving skills, Excel proficiency, and the ability to work with complex data and multiple priorities.