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Skills:

ETL, SQL, Data Analysis

Job type:

Full-time

• Data Pipeline Development: Create and maintain optimal data pipeline architecture.
• Data Integration: Assemble large, complex data sets that meet functional and non-functional business requirements.
• Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
• Infrastructure Building: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and AWS technologies.
• Master Data Management (MDM): Implement and manage MDM solutions to ensure data consistency, accuracy, and reliability across the organization.
• Data Lake Management: Design, build, and maintain data lakes to store structured and unstructured data, enabling advanced analytics and machine learning.
• Collaboration: Work with stakeholders including data, design, product, and executive teams to assist with data-related technical issues and support their data infrastructure needs.
• Data Analysis Tools: Build analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
• Technical Skills: Proficiency in SQL, Python, big data technologies such as Hadoop, Spark, and AWS, as well as MDM tools and data lake technologies..
• Technical Skills: Platforms, Databases, Programming Languages, Software Appliance: - Oracle: Data Integrator, Golden Gate - Informatica: Data Quality, Data Governance, Dynamic Data Masking, Big Data Management, Enterprise Data Catalog, Intelligent Data Management Cloud, Informatica Master Data Management.
• Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information..
• Experience: Prior experience in data engineering or a related field, with a solid understanding of data architecture, data modeling, MDM, and data lakes..
• Solution Advisor for Analytics, Cloud, Big Data, and Data Governance.
• Architect MDM solutions, including data modeling, match and merge rule configuration, hierarchy management, and data governance frameworks.
• Designed and implemented ETL processes for integrating MDM solutions with various ERP and CRM systems.
• Perform data quality assessments, cleansing, and validation tasks to maintain data accuracy and reliability.

Skills:

Tableau, Power BI, Excel

Job type:

Full-time

• Leads and improves analytical programs and presents the results.
• Analyzes the variable granular data of the business and regularly uses advanced models to deliver business insights across diverse business domains.
• Answers and anticipates critical business questions and opportunities and delivers insights to the business in ways that make significant impact.
• Demonstrates use of data visualization (Tableau, Power BI, Excel), and analytic tools (Python, R, SQL, KNIME/Alteryx) to grasp the business insights from mountains of data.
• Collaborates with multifunctional teams (Operations, Initiatives, and IT etc.) to improve key business priorities based on data-driven insights.
• Lead the roll-out and development of digital solution per business needs.

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).

Skills:

Compliance, AutoCAD

Job type:

Full-time

• Assist in the design and development of mechanical systems including HVAC, Fire protection, and Hydraulic systems tailored for data center needs.
• Help plan and manage maintenance activities for mechanical systems, ensuring adherence to industry standards and operational efficiency.
• Maintain accurate records of mechanical system designs, maintenance activities, and compliance with safety regulations.
• Participate in site inspections to assess mechanical systems' condition and ensure compliance with design specifications.
• Assist in coordinating with third-party vendors for maintenance and upgrades, ensuring that all work meets established standards.
• Be available to respond to on-site incidents and assist senior engineers in troubleshooting mechanical failures.
• Engage in ongoing training and professional development opportunities to stay updated on the latest technologies in the data center industry.
• Bachelor s degree in mechanical engineering or a related field is required.
• At least 4 years of experience in mechanical engineering, preferably within a data center or critical environment.
• Basic understanding of HVAC systems, mechanical design principles, and relevant software tools (e.g., AutoCAD).
• Strong problem-solving abilities to identify issues and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and vendors.
• Ability to work well within a team environment while also being capable of taking initiative when necessary.
• Be able to travel to the provincial area.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Big Data, Hive, SAS

Job type:

Full-time

• Experience migrating from on-premise data stores to cloud solutions.
• Knowledge of system design and platform thinking to build sustainable solution.
• Practical experience with modern and traditional Big Data stacks (e.g BigQuery, Spark, Databricks, duckDB, Impala, Hive, etc).
• Experience working with data warehouse solutions ELT solutions, tools, and techniques (e.g. Airflow, dbt, SAS, Matillion, Nifi).
• Experience with agile software delivery and CI/CD processes.
• Bachelor's or Master's degree in computer science, statistics, engineering, or a related field.
• At least 3 years of experience in data analysis and modeling.
• Proficiency in Python, and SQL.
• Experience with data visualization tools such as Tableau, Grafana or similar.
• Familiarity with cloud computing platforms, such as GCP, AWS or Databricks.
• Strong problem-solving skills and the ability to work independently as well as collaboratively.
• Growth Potential: This role offers a clear path to advance into machine learning and AI with data quality and management, providing opportunities to work on innovative projects and develop new skills in these exciting fields..
• Contact : [email protected].
• 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:

Compliance, AutoCAD, Revit

Job type:

Full-time

• Support the design and implementation of electrical distribution systems, including high voltage (HV), low voltage (LV) and DCIM or ECMS systems tailored for data center applications.
• Help coordinate and execute maintenance activities for electrical systems, ensuring compliance with industry standards and operational efficiency.
• Assist in diagnosing electrical issues and implementing solutions to minimize downtime and ensure continuous operation of critical systems.
• Maintain accurate records of electrical system configurations, maintenance schedules, and compliance with safety regulations.
• Work with third-party vendors and contractors to ensure that their work meets established standards and contractual obligations.
• Participate in emergency response efforts, providing support during incidents to restore normal operations as quickly as possible.
• Engage in ongoing training to stay updated on the latest technologies and best practices in electrical engineering within data centers.
• Job Qualifications.
• Bachelor s degree in electrical engineering or a related field is required.
• 3-4 years of experience in electrical engineering, preferably within a data center or similar critical environment. Internships or co-op experiences are beneficial.
• Basic knowledge of electrical systems, including transformers, switchgear, UPS systems, generators, DDC, PLC and relevant software tools (e.g., AutoCAD, Revit, ETAP).
• Familiarity with electrical safety protocols is essential.
• Strong problem-solving abilities to identify issues quickly and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and external partners.
• Ability to work effectively within a team-oriented environment while being proactive in taking on responsibilities.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Python, SQL, Analytical Thinking, English

Job type:

Full-time

• English as working language.
• Minimum of 3 years data analytics related working experiences.
• At least 1 year of working experience directly communicate to business team.
• Proficient in Python or SQL.
• Advanced hands on experiences with visualization tool.
• Strong communication and analytical thinking skills.
• Good balance of data and business knowledge.
• Fintech or banking industry.
• Internet companies with mobile application.
• Contact : [email protected].
• 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, Statistics, Data Analysis

Job type:

Full-time

• Apply best practices in data visualization to create clear, concise, and impactful visuals. Optimize dashboard performance for speed and efficiency.
• Identifies and utilizes the customer data as an insight to provide executive summary report, including provide the analysis with the recommendation.
• Collaborate with commercial team to ensure that Power BI solutions meet their needs.
• Provide training and support to end-users on how to effectively utilize Power BI dashboards and reports.
• Manage and prepare ad hoc reports and analysis as required..
• Bachelor s / Master degree in Data Science, Mathematics, Statistics, Computer Science, Business Administration, Engineering, or other quantitative field.
• 6-7 years of relevant experience in a data analytics or power bi developer will be considered.
• Strong proficiency in Microsoft Power BI. Experience with data modeling, DAX (Data Analysis Expressions), and Power Query (M language).
• Solid understanding of data visualization principles and best practices.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Hands-on experience with databases such as SAP, SQL, and statistical tools such as R, Python.
• Self-driven individual with strong will to learn, tackle the unknowns and contribute to the team and organization.

Experience:

2 years required

Skills:

Data Analysis, Python, SQL, English

Job type:

Full-time

• Analyze and organize raw data.
• Combine raw information from different sources.
• Designing and building data models to support business requirements.
• Developing and maintaining data ingestion and processing systems.
• Implementing data storage solutions. (databases and data lakes).
• Ensuring data consistency and accuracy through data validation and cleansing techniques.
• Conduct complex data analysis and report on results.
• Explore ways to enhance data quality and reliability.
• Working together with cross-functional teams to identify and address data-related issues.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Bachelor or Master Degree in Computer Science, Software Engineering, Computer Engineering ICT, IT or any related technical field.
• 2-5 years of experience as a data engineer or in a similar role.
• Experience with schema design and dimensional data modeling.
• Experience and knowledge in Python development.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience designing, building, and maintaining data processing systems.
• Experience with orchestration tools e.g. batch and real-time data processing.
• Experience with CICD pipeline data.
• Experience with big data.
• Familiarity with data integration and ETL tools.
• Strong problem-solving and analytical skills.
• Able to speak Thai fluently and basic command in English.

Skills:

Finance, Statistics, Python

Job type:

Full-time

• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.
• ปริญญาตรีด้าน Mathematics, Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ ผ่านเครื่องมือที่เหมาะสม.
• มีทักษะการเขียนโปรแกรม เช่น Python, SQL และเครื่องมือ BI เช่น Power BI หรือใกล้เคียง.
• มีประสบการณ์และความเข้าใจในการใช้เทคนิค Machine Learning พื้นฐาน (เช่น Data Clustering, Time series analysis ) ในการวิเคราะห์ข้อมูลที่มีความซับซ้อนหรือข้อมูลขนาดใหญ่.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• TSPACE DIGITAL COMPANY.
• ThaiBev Quarter.

Job type:

Full-time

• Develop product strategy and product development in the analyticX group, Open API, and related platforms such as MarTech and EdTech to meet market demands and align with the company s business plan.
• Manage product revenue, profit, and cost to ensure alignment with business goals and financial targets.
• Possess strong technical knowledge and understanding across key domains, including Software Development, Data Analytics, AI and ML, API and Interface Design, as well as ...
• Deliver impactful product presentations, consultative selling, and design effective solutions for clients, with the ability to successfully close deals. Represent the company as a speaker at relevant events and engagements when required.
• Define product and pricing positioning, plan Go-to-Market (GTM) strategy and Sales & Partner strategies, and work closely with marketing and sales teams on communication and account planning to drive sales performance in line with company objectives..
• A Master s degree in Engineering, Science, Computer Science, Data Science, or another STEM-related field.
• (For candidates holding a Master s degree in Marketing or Business Administration, a Bachelor s degree in a STEM field is required.).
• More than 10 years of work experience, including at least 5 years in Software Product Development in roles such as Product Owner, Business Analyst, System Analyst, or equivalent; and at least 3 years of experience specifically related to Data Analytics.
• Strong understanding of core concepts in Software Development, Data Analytics, AI and Machine Learning, API and Interface Design, and UX/UI Development, with the ability to communicate effectively with domain experts.
• Solid understanding of the mobile operator business or at least one type of B2B business. Experience working with or utilizing Telco Data is a strong advantage.
• Excellent communication and presentation skills, both internally and externally.
• Proven ability in consultative selling, including influencing and closing deals with clients.
• Possesses a growth mindset, is eager to learn, and demonstrates strong self-learning capabilities.
• Strong in strategic thinking, logical thinking, analytical skills, and critical thinking.
• Able to solve complex problems and effectively manage multiple stakeholders.
• Thrives in an outcome-driven environment, demonstrates high self-motivation and autonomy, is highly adaptable, and committed to performing well in a dynamic and fast-paced setting.

Job type:

Full-time

• The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science. GBS is a dynamic, entrepreneurial, and ambitious client group, and our HRBPs who support them are too! We are excited to continue adding to our Human Resources team to attract, engage, and retain top talent to drive the continued growth of the organization. You will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limit ...
• Minimum Qualifications-Bachelor degree or above, graduate degree is preferred, math, statistics, computer-related majors are preferred, strong capability of data analytics is required;-experience in research and analysis positions in consulting, e-commerce/ads is preferred. Preferred Qualifications-Outstanding reasoning capability and logic, with good problem solving methodologies, being able to independently output quality strategic solutions, strong learning and adaptive ability, strategic framework thinking, sensitivity and insight into the business;-Have some strategic thinking capacity, able to quickly understand the business and discover the connection between business and data performance;-Proficiency in SQL for data analysis, understanding of common statistical and analytical methods, and skills in BI visualization tools such as Tableau/Power BI is a plus;-Fast learner, passionate about participating in business, and able to adapt to high intensity and fast growth work environment.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.If you have any questions, please reach out to us at [email protected].

Job type:

Full-time

• Develop the analytics strategy of AIS properties, both of website and applications, to gather all data and insight and conduct collection, tracking and analysis of data and the generation of fact-based insights using digital analytic tools including Adobe Analytic, Google Analytic 4 and truehits.net.
• Analysis of digital marketing traffic and channels of paid, own, earn web and app, customer journey and performance marketing analysis-purchase funnel.
• Implement the data driven marketing guideline document and use data driven decision ...
• Execute assigned projects in areas such as analytics implementation, use case, data integration, tag management, online tracking etc.
• Explore the latest Marketing Technologies (MarTech) trends and technological advances including Analytic, DMP, CDP, SEO tools and Social Listening tools etc.
• At least 3 years professional work experience in digital marketing.
• Education background in IT, Statistics.
• Analytical and systematic thinking skills with using Google Analytics 4 tool..

Job type:

Full-time

• ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กร และเพิ่มประสิทธิภาพการดำเนินงาน.
• สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI หรืออื่นๆ.
• สร้าง Framework สำหรับการวิเคราะห์ข้อมูลแบบ End-to-End ตั้งแต่การเก็บข้อมูล ไปจนถึงการนำเสนอผลลัพธ์.
• สร้างแบบจำลองทางสถิติ (Predictive Model) เช่น Sales Demand Forecasting, Fuel Consumption Trends, Customer Lifetime Value.
• ทำงานร่วมกับธุรกิจ ในการแปลปัญหาทางธุรกิจให้เป็นโจทย์การวิเคราะห์ข้อมูล พร้อมนำเสนอ Insight ที่มี Impact.
• ร่วมกำหนด KPI และ Data Strategy กับหน่วยงานธุรกิจ.
• สื่อสารผลการวิเคราะห์ให้เข้าใจง่าย พร้อมข้อเสนอแนะเชิงกลยุทธ์ที่นำไปปฏิบัติได้.
• ปริญญาตรีขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ.
• มีทักษะการเขียนโปรแกรม เช่น Python, R, SQL และเครื่องมือ BI เช่น Power BI, Tableau หรือใกล้เคียง.
• มีทักษะการสื่อสารและการคิดเชิงวิเคราะห์ (Analytical Thinking) ที่ยอดเยี่ยม.
• เข้าใจแนวคิด Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, TensorFlow, PyTorch ได้.
• มีความรู้ความเข้าใจเกี่ยวกับการทำ Forecasting, Clustering และ Predictive Analytics.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.

Skills:

ETL, Big Data, SQL

Job type:

Full-time

• Design and develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse.
• Experience with Big Data or data warehouse.
• Analyze & translate functional specifications & change requests into technical specifications.
• Experience in SQL programming in one of these RDBMSs such as Oracle.
• Develops ETL technical specifications, designs, develops, tests, implements, and supports optimal data solutions.
• Develops Documents ETL data mappings, data dictionaries, processes, programs and solutions as per established standards for data governance.
• Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities.
• Creates, executes, and documents unit test plans for ETL and data integration processes and programs.
• Perform problem assessment, resolution and documentation in existing ETL packages, mapping and workflows in production.
• Performance tuning of the ETL process and SQL queries and recommend and implement ETL and query tuning techniques.
• Qualifications Bachelor s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and automation frameworks.
• Proficiency in cloud platforms such as AWS, Azure, and associated services.
• Knowledge of IAC tools like Terraform or Azure ARM.
• Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, APM, etc.
• Good understanding of IT Operations.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and teamwork skills to collaborate effectively across various teams.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Job type:

Full-time

• SAP HR DM.
• About Accenture.
• We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We acti ...
• Visit us at www.accenture.com.
• Equal Employment Opportunity Statement.
• All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
• Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
• Accenture is committed to providing veteran employment opportunities to our service men and women.

Skills:

ISO 27001, English

Job type:

Full-time

• รับผิดชอบการ Monitoring ควบคุมและจัดการระบบพื้นฐานเกี่ยวกับ ไฟฟ้า และระบบปรับอากาศ ระบบเครือข่าย เพื่อสนับสนุนการจัดการ.
• ตอบสนองความต้องการของลูกค้า และประสานงาน การติดตั้งและการแก้ไขปัญหาระบบของผู้บริการ (vendor) เพื่อให้ถูกต้องและสมบูรณ์ตามหลักปฎิบัติ.
• ควบคุมและประสานงานการบำรุงรักษาและการซ่อมแซม (Preventive Maintenance) ระบบพื้นฐานต่างๆ เครื่องกำเนิดไฟฟ้า Generator, เครื่องสำรองไฟฟ้า UPS, ระบบตู้ไฟฟ้า, ระบบปรับอากาศ และการติดตั้งอุปกรณ์ระบบเครือข่าย (Network) เป็นต้น.
• เป็น 1st level support & troubleshooting ของระบบ Facility ใน Data Center เช่น ระบบ Network, ระบบไฟฟ้า, ระบบปรับอากาศ เป็นต้น.
• จัดทำกระบวนการปฎิบัติงาน และคู่มือการทำงานในการดูแลระบบพื้นฐาน โดยอิงตามมาตราฐาน ISO หรือมาตรฐานอื่นที่เกี่ยวข้องกับการปฏิบัติงาน (เช่น ISO 20000 ด้านบริการ, ISO 27001 ด้านความปลอดภัย,ISO 50001 ด้านบริหารพลังงาน และอื่นๆ เช่น ISO22301, PCIDSS, TCOS) รวมทั้งรูปแบบใบบันทึก, รายงานต่าง ๆ.
• สรุปและรายงานผลสำหรับปัญหาวิกฤติใด ๆ ต่อหัวหน้าทีม รวมทั้ง การจัดทำรายงานสถิติ,รายงานวิเคราะห์แบบรายวัน, รายเดือน รายไตรมาส ด้วย.
• Bachelor s degree in electrical power, mechanic or related fields.
• Thai nationality, Male, Age 20 - 25 years old.
• Have basic technical knowledge in Data Center facilities (Electrical/Mechanical).
• Able to work under pressure.
• Able to work with a team.
• Fair communication in English.

Job type:

Full-time

• 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. ".

Skills:

Digital Marketing, Statistics, Python

Job type:

Full-time

• 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.".

Job type:

Full-time

• ปฏิบัติงานยัง บริษัท Infinitas by Krungthai
• We are seeking a Data Scientist specializing in credit decision engine development to drive data-driven lending decisions and risk assessment. The ideal candidate will combine strong analytical skills with deep understanding of credit process.
• Model Development & Deployment
• Develop and maintain credit risk assessment and lending decisions modules
• Expertise for handling large financial databases and credit data manipulation
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask,
• Fast API) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies
• Monitor model performance to ensure high accuracy and reliability in credit decisions Data Analysis & Risk Assessment
• Clean and preprocess financial datasets, particularly credit lending and risk data
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn)
• Experience with cloud platforms (AWS,GCP) for model deployment
• Knowledge of statistical and machine learning techniques for risk modeling Domain Expertise
• Understanding of credit lending and risk assessment principles
• Experience in financial data analysis within regulatory constraints
• Proven track record in developing credit decision engines (optional)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
• Strong communication skills for presenting complex findings and process flow to management
• 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.".