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Skills:
Compliance, Python, SQL
Job type:
Full-time
Salary:
negotiable
- Validate enterprise network & services across Bangkok and regional areas, ensuring resource availability and service readiness.
- Design end-to-end network solutions and produce High-Level Design (HLD) and Low-Level Design (LLD) documentation.
- Assess and plan network resources to support enterprise service deployment and scalability.
- Collaborate with enterprise product and technical consultant teams on solution design and integration.
- Conduct Proof of Concept (POC) activities, including testing and validating proposed network solutions.
- Support equipment evaluation and approval processes to ensure technical compliance and performance.
- Provide technical recommendations and contribute to continuous improvement of network architecture and service delivery.
- Bachelor s degree in Computer Engineering, Telecommunications, or a related field.
- Minimum of 3 years experience in network engineering, preferably in an enterprise or telecom environment.
- Strong knowledge of network design principles, including routing, switching, and security.
- Proven experience in creating HLD and LLD documentation.
- Familiarity with enterprise-grade networking equipment (e.g., Cisco, Juniper, Huawei).
- Excellent communication and collaboration skills.
- Programming skills in Python, SQL are an advantage.
Skills:
Statistics, Python, SQL
Job type:
Full-time
Salary:
negotiable
- Lead the end-to-end development of analytics and AI projects that strengthen business and customer intelligence across the Siam Piwat data ecosystem.
- Translate business challenges into data science solutions that deliver measurable outcomes and strategic value.
- Collaborate with MIS, Data Engineering, Data Analytics and Business teams to ensure reliable data flow, technical integration, and sustainable implementation.
- Drive analytics initiatives that inform sales strategies, tenant insights, and evolving market opportunities.
- Technical Execution & Supervision.
- Develop and deploy predictive models and analytics frameworks to understand performance patterns, identify growth drivers, and support decision-making.
- Provide technical direction and support to data scientists and analysts to maintain consistency, accuracy, and quality of analytical outputs.
- Apply best practices in data preparation, model governance, and MLOps to ensure scalability and reliability.
- Work closely with cross-functional partners internally and externally to transform analytical insights into actionable business recommendations.
- Business Impact & Innovation.
- Deliver insights that enhance understanding of customer behavior, tenant performance, and overall sales and customer trends.
- Monitor and assess emerging market and consumer trends to guide future business strategies.
- Present complex findings through clear visualizations and storytelling tailored for executive and business audiences.
- Foster a culture of innovation and continuous improvement in analytics practice.
- Education & Experience.
- Master s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
- Minimum 5-7 years of experience in data science, advanced analytics, or AI solution delivery..
- Demonstrated success in developing and implementing data-driven solutions with measurable business impact.
- Experience in retail, customer analytics, or digital transformation environments is preferred..
- Technical Skills.
- Proficiency in Python, SQL, and PySpark for data analysis and model development..
- Solid understanding of machine learning, AI, and statistical modeling frameworks..
- Familiarity with cloud data platforms (DWS, AWS, GCP, or Azure) and version control tools (Git)..
- Experience with visualization and BI tools such as Power BI, Tableau, Apache Superset, or similar..
Skills:
SQL
Job type:
Full-time
Salary:
negotiable
- มีทักษะและประสบการณ์ด้านการออกแบบ/พัฒนาระบบ/เขียนโปรแกรม Web/Mobile Application ไม่น้อยกว่า 1 ปี.
- สามารถทำงานบริหารและจัดการงานโครงการพัฒนาระบบงาน IT (Application Implementation Project) หรือสนับสนุนการใช้งานระบบ (Application Support).
- หากมีประสบการณ์ด้านต่อไปนี้ จะได้รับการพิจารณาเป็นพิเศษ.
- Programming Language เช่น MS SQL, MS SharePoint,.NET/ Web Programming / Mobile App programming.
- Aplication ด้าน Marketing & Retail Technology เช่น POS, CRM, Loyalty, Website, Mobile App, LineOA, MARTECH,AI/ML for Marketing & Retail business,CDP.
- ปริญญาตรีหรือปริญญาโทในสาขาวิศวกรรมคอมพิวเตอร์, วิทยาศาสตร์คอมพิวเตอร์, เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
- เหตุผลดีๆ ที่คุณมองหาจากเรา.
- เราให้ความสำคัญกับพนักงานทุกคนอย่างเท่าเทียม ปลูกฝังให้ทุกคนยึดมั่นในการประกอบสัมมาชีพ อย่างมีบรรษัทภิบาลที่ดี.
- เราให้ความสำคัญต่อการพัฒนาศักยภาพพนักงานในทุกๆ ด้าน ด้วยโปรแกรมการฝึกอบรมคุณภาพให้เหมาะสมกับแต่ละคน เพื่อยกระดับการทำงานของพนักงานอย่างมืออาชีพ.
- สำนักงานใหญ่ของบางจาก ถูกออกแบบให้เป็น Smart Office and Smart Display Solution ที่มีความหรูหรา ทันสมัย และประหยัดพลังงาน.
- ความอบอุ่นแบบพี่น้อง คือหัวใจในการดูแลพนักงานใหม่ที่ก้าวเข้ามาในครอบครัวของเรา.
- ความปลอดภัยในการทำงานยังเป็นอีกหนึ่งสิ่งที่สำคัญสูงสุดของธุรกิจปิโตรเลียม ดังนั้นพนักงานบางจากทุกคนจึงต้องผ่านการอบรมตามมาตรฐานความปลอดภัยและอาชีวอนามัยอย่างเข้มข้น.
- พนักงานสบายใจได้กับโปรแกรมประกันสุขภาพ OPD/IPD และเรายังให้เงินช่วยเหลือค่ารักษาพยาบาลสำหรับบุพการี.
- Work life balance คือสิ่งสำคัญ เวลาการทำงานที่ยืนหยุ่นทำให้คุณจัดสรรเวลาได้อย่างลงตัว.
Skills:
SQL, Tableau, Power BI
Job type:
Full-time
Salary:
negotiable
- Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
- Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
- Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
- Statistical Knowledge.
- Mathematical Ability.
- Programming languages, such as SQL.
- Analytic tools such as Tableau, Power BI.
- TeraData, Big data Hadoop Tech, Cloud Tech.
- Bachelor Degrees in MIS, Business, Economic, Computer Science or related field.
- At least 2-3 year of experience with Data Analysis.
- Experienced in designing and architecture BI / Data Analytics Solutions is preferred.
Experience:
No experience required
Skills:
Python, SQL, Database Administration, English, Thai
Job type:
Full-time
Salary:
฿35,000 - ฿45,000, negotiable
- Guide and train new customers to confidently use our system.
- Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
- Analyze and manage customer data to ensure readiness for real-time use.
- Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
- Travel and visit customer sites.
- Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
- Proficiency in Excel and SQL; Python skills are a plus.
- Excellent communication skills in both Thai and English.
- Adaptable, quick to learn, and able to work under pressure.
- Educational background in IT, Computer Science, or related fields is preferred.
- Allows you to apply your skills in data, technology, and customer service.
- Supports your personal and professional development.
Skills:
MVC, HTML5, TypeScript
Job type:
Full-time
Salary:
฿30,000 - ฿40,000, negotiable
- Develop, enhance, and maintain applications using C#.NET MVC /.NET Core..
- Build responsive Modern UI using Angular, HTML5, CSS3, TypeScript/JavaScript..
- Stored Procedures.
- Functions.
- Views.
- Performance tuning / Index optimization.
- Integrate and maintain RESTful APIs / Web Services..
- Conduct code reviews, debugging, and performance optimization.
- Perform system analysis and collaborate with business users to gather requirements.
- Ensure system reliability, security, and scalability.
- Strong experience with C#,.NET Framework, and.NET Core..
- Proficiency in ASP.NET MVC, Web API, Entity Framework / Dapper..
- Writing complex Stored Procedures.
- Query optimization and index tuning.
- Data migration & schema design.
- Front-end development using Angular, HTML5, CSS3, Bootstrap, and JavaScript..
- Strong understanding of OOP and Software Design Patterns..
- Implementation of authentication and authorization and secure coding practices (e.g., XSS, CSRF, SQL Injection prevention)..
- Knowledge in performance profiling, caching strategies (MemoryCache, Radis, etc), and asynchronous programming to improve scalability...
Skills:
Power BI, Tableau, Statistics
Job type:
Full-time
Salary:
negotiable
- Conduct data collection, cleaning, and exploratory analysis to support retail-related use cases such as customer insights and product performance.
- Assist in developing and evaluating machine learning models for forecasting, segmentation, recommendation, and customer behavior analysis.
- Support GenAI and LLM-related tasks, including text classification, summarization, embedding generation, prompt testing, and preparation of datasets for NLP or RAG-style workflows.
- Prepare and document features for analytics and machine learning workflows, ensuring data quality and reproducibility.
- Build dashboards and visualizations using Power BI, Tableau, Plotly, or matplotlib to present insights to business stakeholders.
- Collaborate with senior data scientists, data engineers, and business teams to understand requirements and translate them into analytical tasks.
- Participate in team knowledge-sharing sessions and continuously develop technical skills.
- Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Minimum of two years of experience in data analytics or data science.
- Proficiency in Python, including pandas, numpy, and scikit-learn.
- Strong SQL skills for working with large datasets.
- Understanding of common machine learning techniques such as regression, classification, and clustering.
- Exposure to GenAI or LLM tools and libraries such as Hugging Face, LangChain, or OpenAI APIs.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
- Experience with basic NLP tasks such as tokenization, text cleaning, or embedding generation.
- Hands-on experimentation with LLMs or GenAI workflows.
- Familiarity with Git or collaborative coding practices.
- Experience in retail, e-commerce, or consumer analytics environments.
- 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.".
Skills:
Digital Marketing, Big Data, Statistics
Job type:
Full-time
Salary:
negotiable
- Drive clear and effective business translation of AI/ML products between business and technical stakeholders.
- Design, develop and leverage Advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML) models to support digital marketing, MarTech, AdTech, and hyper-personalization initiatives.
- Analyze Big Data to develop effective predictive and recommendation models.
- Collaborate closely with Product Owners, IT teams, and Data teams to implement AI solutions that improve marketing campaign performance.
- Continuously refine and enhance AI models through testing and performance evaluation.
- Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/MLprojects..
- Bachelor s Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
- Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
- Proficiency in some of the following: Python, PySpark and SQL etc.
- Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
- Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
- Ability to communicate and collaborate with cross-functional teams.
- Growth mindset and openness to continuously learning and facing new projects and new technologies..
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".
Skills:
Power BI, Tableau, Finance, English
Job type:
Full-time
Salary:
negotiable
- Collect, clean, and analyze data from sales, marketing, and CRM systems.
- Build and maintain dashboards and performance reports (Power BI, Tableau, or Google Data Studio).
- Monitor and evaluate campaign results, product performance, and sales trends.
- Provide data-driven insights to support marketing strategies and business planning.
- Collaborate with sales, finance, and product teams to align business insights.
- Ensure data accuracy and consistency across all reports.
- Bachelor s degree in Business Analytics, Data Science, Statistics, Economics, or related field.
- At least 3 years of experience in data analysis, business intelligence, or commercial analytics.
- Strong skills in Excel, SQL, and data visualization tools (Power BI, Tableau, or Google Data Studio).
- Experience with CRM and marketing analytics tools is a plus.
- Analytical, detail-oriented, and comfortable presenting insights to management.
- Good command of English and Thai, both written and spoken.
Skills:
Legal, Compliance
Job type:
Full-time
Salary:
฿65,000 - ฿80,000, negotiable
- Estimate and manage campaign budgets.
- Coordinate with local, domain, and legal teams for alignment and compliance.
- Manage artwork asset preparation and approvals.
- Monitor campaign performance metrics.
- Deliver post-mortem reports with insights and learnings.
- Local Seller collaboration.
- Prepare risk scenarios for chatbot QA and safety checks.
- Collect and curate Thai user queries for training and validation.
- Review chatbot intentions and short title content; manage BPO task flow and quality.
- Conduct UAT (User Acceptance Testing) for new chatbot features.
- Translate chatbot content to Thai and perform QC.
- Provide ongoing feedback and suggestions to improve system accuracy and UX.
- Basic content Optimization.
- Optimize AI prompts to generate effective product content.
- Translate and localize content into Thai with brand tone alignment.
- Coordinate with multiple teams for timely content readiness.
- Solid understanding and sensitivity toward AI applications and development; ability to effectively apply insights through iterative experimentation to various AI business functions and scenarios to achieve business objectives.
- Professional working proficiency in English (proficiency in Southeast Asian languages is a strong plus). Excellent communication skills, team spirit, and ability to integrate cross-functional resources to achieve business goals.
- Bachelor s degree or above; 3+ years of operations experience. Prior experience in overseas e-commerce or platform user operations is preferred.
- Strong analytical skills, SQL would be a plus.
Experience:
No experience required
Skills:
Javascript, English
Job type:
Full-time
Salary:
฿50,000 - ฿150,000
- Provide 24-hour response to operational failures of the bank's core banking system, covering.
- business anomalies in application systems (e.g., deposit, loan, report, and document systems) and.
- infrastructure anomalies (e.g., cloud services, databases, and networks);.
- Conduct real-time monitoring of system issues and respond promptly; escalate issues to the.
- subsequent handling process in a timely manner, and assist in extracting logs and data required for.
- issue analysis;.
- Upon receiving the bank's MA support request, initiate the response process within 15 minutes,.
- and quickly complete preliminary localization through troubleshooting of abnormal phenomena, log.
- analysis, and data verification;.
- Cooperate efficiently with the bank to resolve Serv1 or Serv2-level system issues;.
- Prepare detailed incident reports, and accurately communicate the results of root cause analysis to.
- the bank and support teams;.
- Organize the MA processes of the core system, iteratively update the MA support manual, and.
- ensure the implementation of standardized MA practices.
- A bachelor's degree or above, majoring in computer science, software engineering, or related fields.
- Have in-depth familiarity with the application architecture of the bank's core systems, master.
- relevant knowledge of cloud environment operation and maintenance, and possess professional.
- knowledge of IT Service Management (ITSM) best practices.
- Have excellent written and verbal communication skills, and be able to convey complex information.
- clearly and concisely. Thai or English communication skills are required.
- Recognize and accept the 24-hour, 7-day shift system, and be able to adapt to night shifts and.
- holiday duty (each shift includes 30-minute shift-handover time).
- Have strong coordination and organizational abilities, and be able to manage multiple tasks.
- efficiently and prioritize them clearly.
- Be familiar with the Spring Boot framework and have Java coding and development capabilities.
- Be familiar with the access operations of mainstream databases (MySQL, PostgreSQL), and have the.
- ability to optimize SQL, tune performance, and optimize batch tasks.
- Be proficient in mainstream development tools such as Eclipse and IntelliJ IDEA, be skilled in using.
- version management tools such as Git and SVN, and log management and analysis tools such as.
- Kibana.
- Be able to work stably in Thailand for a long time, have good self-learning ability, and be able to.
- quickly adapt to business and technological updates.
Job type:
Full-time
Salary:
negotiable
- Lead the financial business partnering for Lazada s self-operated logistics (LEX) in Thailand
- Collaborate closely with local operations teams to map cost structures and identify cost-saving opportunities across all logistics segments, including first mile, sortation, linehaul, and last mile delivery.
- Run monthly performance reviews with local Logistics/Finance management team and prepare Thailand specific financial callouts for regional management.
- Conduct investment analysis to ensure upcoming projects align with group profitability and payback expectations.
- Oversee commercial pricing proposals to support LEX s expansion into external client services within the Thai market.
- Drive the monthly budgeting and reforecasting process in close alignment with operational stakeholders and regional finance.
- Validate the 3PL allocation strategy of Lazada Group to ensure parcels are distributed in a cost-optimized and operationally efficient manner across networks.
- Partner with local controllership and accounting teams to ensure accurate and timely month-end closings.
- Solid academic background with a degree in Finance, Accounting, or a related field such as Business or Logistics Management
- At least 5 years of relevant experience, ideally within e-commerce, logistics, or a fast-paced operational environment.
- Strong analytical mindset with the ability to interpret business and financial models; familiarity with logistics networks and related financial modeling is a plus.
- Hands-on attitude with a willingness to dive deep into data and operations as needed; SQL skills are a strong advantage.
- Proficiency in SAP and Anaplan is advantageous.
- Excellent communication and stakeholder management skills, with the ability to navigate cross-functional and cross-cultural environments.
- Fluency in English and Thai, both written and spoken.
Job type:
Full-time
Salary:
negotiable
- Dashboard & Analytics Development (70%).
- Design, develop, and enhance Power BI dashboards and reports for store, DC, and supplier performance.
- Build and maintain data models, DAX measures, and ETL queries to support business requirements.
- Translate business needs into data-driven insights that support operational and strategic decisions.
- Ensure data accuracy, consistency, and compliance with established KPI definitions and governance standards.
- Conduct root cause analysis on key supply KPIs (e.g., Days of Cover, Forecast Accuracy, Shrink, OSA).
- Support automation initiatives by developing BI solutions that improve reporting efficiency and reduce manual work.
- Business Partnership & Governance (30%).
- Work closely with Central Replenishment, Commercial, and Data Engineering teams to align on reporting requirements and data sources.
- Contribute to data governance by documenting metrics, definitions, and business logic in collaboration with the BI Manager.
- Provide ad-hoc analysis and insights to support decision-making during business reviews and planning cycles.
- Support cross-functional projects such as forecast improvement, replenishment automation, and supply network optimization.
- Assist in mentoring analysts or interns on Power BI standards, performance tuning, and best practices.
- Bachelor s degree in Business Analytics, Supply Chain, Computer Science, or related field.
- 1-3 years of experience in business intelligence, data analytics, or reporting roles.
- Strong technical proficiency in Power BI, DAX, Power Query (M), and SQL.
- Experience with data modeling, ETL processes, and cloud data platforms (e.g., Azure) preferred.
- Familiarity with supply chain, replenishment, or retail analytics is a strong plus.
- Ability to communicate insights clearly and work collaboratively across technical and business teams.
- Strong problem-solving skills with attention to data accuracy and visualization quality.
- Success Factors.
- Delivers accurate and visually clear dashboards that support business decisions.
- Proactively identifies data or performance issues and drives resolution.
- Acts as a bridge between business users and technical teams, ensuring alignment in data and insights.
- Demonstrates ownership, initiative, and continuous improvement mindset in BI solution development..
Job type:
Full-time
Salary:
negotiable
- ปฎิบัติงานยัง บริษัท Infinitas by Krungthai.
- We are seeking a highly skilled Data Management Specialist to join our team. The ideal candidate will be responsible for managing and analyzing large data, ensuring data integrity, and developing data management solutions to optimize our operations.
- Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
- Utilize SQL to perform complex queries, data extraction, and manipulation.
- Analyze and interpret large datasets to identify trends and insights that drive business decisions.
- Ensure data quality, integrity, and security across all managed databases.
- Collaborate with cross-functional teams to understand data needs and deliver effective data management
- solutions.
- Implement and monitor data management policies and procedures.
- Optimize database performance and troubleshoot issues as they arise.
- Leverage big data technologies such as Spark to process and analyze large datasets.
- Develop and maintain ETL processes to ensure seamless data flow between systems.
- Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
- Required Skills and Qualifications
- Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
- Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
- Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
- Database management systems: Hands-on experience with systems like MySQL.
- Big data technologies: Experience with technologies such as Spark.
- Python programming: Proficiency in Python for data manipulation and analysis.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Attention to detail and commitment to maintaining high data quality standards.
- Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
- Education & Experience
- Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
- Minimum 3 years experience in retail lending or similar role
- Additional Requirements
- Experience with data visualization tools (Tableau, Power BI)
- Ability to work collaboratively with cross-functional teams.
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with. ".
Job type:
Full-time
Salary:
negotiable
- ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
- We seek a skilled Data Scientist to enhance banking through advanced analytics and machine learning. Main responsibility will be transformed complex data into actionable insights and models for risk management, fraud detection, and customer experience optimization. Collaborate with cross-functional teams to implement data-driven strategies that improve business performance and risk management.
- Data Analysis and Modeling
- Develop predictive models for risk assessment and market analysis.
- Design machine learning algorithms for classification, regression and fraud detection.
- Create automated systems for customer behavior analysis.
- Strategic Leadership
- Identify opportunities for data-driven solutions with stakeholders.
- Present analytical findings to executive management.
- Education and Experience
- Bachelor s Degree or higher in Computer Science, Statistics, Mathematics, Engineer or related field.
- Minimum 2 years of experience in financial data science.
- Technical Skills
- Proficiency in Python, and SQL.
- Strong data analysis skills.
- Solid understanding of statistical analysis and modeling techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Domain Knowledge
- Understanding financial markets and banking operations.
- Financial modeling and quantitative analysis expertise.
- Understanding basic fraud detection and anomaly detection.
- You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
- The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".
Job type:
Full-time
Salary:
฿60,000 - ฿85,000, negotiable
- Plan, execute, and optimize performance-driven paid campaigns across Meta, Google, TikTok, Line, and other major platforms to achieve lead generation, web conversions and ROI targets.
- Manage SEO and SEM initiatives, including keyword research, content optimization, and on-site improvements to drive organic traffic and enhance visibility.
- Develop media strategies with clear audience segmentation, creative direction, and budget allocation to meet campaign objectives and KPIs.
- Monitor and analyze campaign data, dashboards and SQL reports to evaluate performance, optimize bidding strategies and improve ROAS and CPA with clear insights, learnings, and actionable recommendations.
- Implement testing frameworks (A/B testing, creative testing, targeting experiments) to identify effective approaches and scale high-performing campaigns.
- Collaborate with cross-functional and regional teams to localize strategies, align on best practices and drive quality seller acquisition and engagement.
- Propose new tactics and optimization initiatives based on insights and market trends to enhance efficiency and maximize conversions.
- Lead content planning and storytelling for brand, product and campaign initiatives, ensuring alignment with performance goals and brand positioning.
- Oversee end-to-end content creation (social media, blog, CRM, website, and ad copy) to ensure relevance, consistency and engagement across all channels.
- Collaborate with creative, design, and related teams to ensure message coherence and impactful campaign execution.
- Leverage audience insights and trend analysis to craft data-driven content that enhances engagement and organic reach.
- 3+ years of business development, digital marketing, or content strategy work experiences.
- Familiar with the Thai ecommerce landscape and has good understanding of consumer needs.
- Strong in business problem solving and quantitative/financial analysis.
- Strong written and verbal communication in Thai and English is a must.
- Technical knowledge in marketing, analytics, PMO, and tech is a plus.
- Has a growth mindset with high willingness to learn and deal with uncertainty and changes.
- Highly motivated willing to push or go extra mile to drive impact with high ownership.
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