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Skills:
ETL, Compliance, SQL
Job type:
Full-time
Salary:
negotiable
- Design, implement, and manage end-to-end data pipelines architectures.
- Configure and maintain data ingest workflows (ETL) across several production systems.
- Transform data into Data Mart, Data Model that can be easily analyzed.
- Ensure data accuracy, high usability, timely availability, and strong performance.
- Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
- Ensure compliance with data governance and security policies.
- Minimum of 3 years of work experience as a Data Engineer.
- Strong SQL skills with knowledge of NoSQL tools and languages.
- Strong proficiency in Python scripting.
- Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
- Experience with other cloud data platforms such as GCP or Azure is an advantage.
- Experience working on Big Data platform is an advantage.
- Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.
Job type:
Full-time
Salary:
negotiable
- The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
- Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
- Oversee the development and management of complex ETL/ELT processes for data ingesti ...
- Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
- Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
- Administer and optimize cloud-based data warehouse solutions and associated data lakes.
- Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
- Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
- Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
- At least 5 years of experience working in a data engineering or related position.
- Proficient in advanced SQL, including query optimization and performance tuning.
- Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
- Skilled in using Python for data processing and advanced pipeline development.
- Experienced with tools and technologies for data ingestion, connectivity, and management.
- Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
- Excellent analytical and problem-solving skills.
- Communication and teamwork skills.
- Ability to plan and manage tasks effectively.
Job type:
Full-time
Salary:
negotiable
- Conceptualizing and executing trade promotions and rolling out impactful in-store campaigns in collaboration with marketing and sales teams.
- Developing and implementing trade marketing strategies to increase brand visibility and drive sales.
- Collaborating with sales teams to identify market trends and opportunities for product promotion.
- Creating and executing trade marketing campaigns and promotions to support product launches and achieve sales targets.
- Monitoring and analyzing sales data to evaluate the effectiveness of trade marketing initiatives.
- Building and maintaining strong relationships with key trade partners and distributors.
- Coordinating with cross-functional teams, including marketing, sales, and supply chain, to ensure seamless execution of trade marketing activities.
- Analyzing and recommending brands/channel combinations to maximize sell-out and profitability.
- Bachelor s degree in marketing, business administration, or a related field.
- Previous experience in trade marketing or sales, preferably in the consumer goods industry.
- Strong analytical skills and ability to interpret market data and trends.
- Proficiency in Microsoft Excel.
Skills:
Research, Risk Management, Finance
Job type:
Full-time
Salary:
āļŋ35,000 - āļŋ45,000, negotiable
- āļĢāļ§āļāļĢāļ§āļĄ āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢ āđāļĨāļ°āļāļđāļĢāļāļēāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļēāļāđāļŦāļĨāđāļāļāđāļēāļ āđ āļāļąāđāļāļāđāļāļĄāļđāļĨāļ āļēāļĒāļāļāļ (Economic Outlook, Macro & Industry Indicators, Property Market Data) āđāļĨāļ°āļāđāļāļĄāļđāļĨāļ āļēāļĒāđāļāļāļāļāđāļāļĢ (Corporate Performance, Project Performance, Process & Operational Data).
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļāļģ Corporate Strategy / Risk Management āļĢāļ°āļĒāļ°āļŠāļąāđāļ-āļĒāļēāļ§āļāļāļ SC Asset.
- āļāļĢāļ°āđāļĄāļīāļāđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļāļĄāļŦāļ āļēāļ āļŠāļ āļēāļ§āļ°āļāļĨāļēāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ āđāļĨāļ°āļāļąāļāļāļąāļĒāđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāļĩāđāļŠāđāļāļāļĨāļāđāļāļāļīāļĻāļāļēāļāļāļļāļĢāļāļīāļāļāļāļāļāļāļāđāļāļĢ.
- āļāļąāļāļāļē Framework, Model, Report āđāļĨāļ° Dashboard āđāļāļ·āđāļāđāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļēāļĢāļāļīāļāļāļēāļĄāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļāļāđāļāļĢ.
- āļŠāļąāļāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļŦāļĨāļēāļĒāļĄāļīāļāļī āđāļāļ·āđāļāļŠāļĢāđāļēāļāļĄāļļāļĄāļĄāļāļāđāļāļāļāļāļāđāļĢāļ§āļĄ.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ Insight āđāļĨāļ° Recommendations āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāļāļāļāļāļāļ°āļāļđāđāļāļĢāļīāļŦāļēāļĢ āđāļĨāļ° Business Units.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāđāļ Strategy Planning, Finance, Business Development, Sales & Marketing āđāļĨāļ° Business Units āļāļ·āđāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļāļāđāļāđāļĨāļ° Business Units āļāļąāđāļāđ āđāļāļ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļ research āļāļąāđāļāļŠāđāļ§āļ market survey, focus group, āđāļĨāļ°āļāļēāļĢāđāļāđāļĄāļēāļāļķāđāļāļāđāļāļĄāļđāļĨāļāļēāļāļ āļēāļĒāļāļāļāļāļąāđāļāļŦāļĄāļ.
- āļāļąāļāđāļāļĢāļĩāļĒāļĄāđāļāļāļŠāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāđāļāļĢāļđāļāđāļāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļŠāļģāļŦāļĢāļąāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļāļģāđāļŠāļāļāļāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ Insight āđāļĨāļ°āļāđāļāđāļŠāļāļāđāļāļ°āđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāđāļāļāļāļ°āļāļđāđāļāļĢāļīāļŦāļēāļĢ āļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢ āđāļĨāļ°āļāļāļ°āļāļģāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļģāļŦāļāđāļēāļāļĩāđāđāļāđāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāđāļēāļ Data Analytics & Research āđāļŦāđāļāļąāļāļāļĩāļĄ Strategy Planning āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļāļē Data-driven Culture āļ āļēāļĒāđāļāļāļāļāđāļāļĢ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāđāļ āļŠāļēāļāļēāđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ, āļŠāļāļīāļāļī, Data Science, āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ, āļāļēāļĢāđāļāļīāļ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Data Analytics, Research, Strategic Analysis āļŦāļĢāļ·āļ Corporate Planning āļāļĒāđāļēāļāļāđāļāļĒ 3 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļīāļāļĨāļķāļāļāđāļēāļāđāļĻāļĢāļĐāļāļāļīāļāļĄāļŦāļ āļēāļ āļāļĨāļēāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ āđāļĨāļ°āļāļąāļāļāļąāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļļāļĢāļāļīāļāļāļąāļāļāļēāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāđāļ Excel, SQL āđāļĨāļ° Business Intelligence Tools (Power BI, Tableau āļŦāļĢāļ·āļāđāļāļĩāļĒāļāđāļāđāļē).
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļąāļāļāļē Insight āđāļĨāļ°āļāļąāļāļāļģ Recommendation āļŠāļģāļŦāļĢāļąāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļāļēāļĢāļāļģāđāļŠāļāļ āđāļĨāļ°āļāļēāļĢāđāļĨāđāļēāđāļĢāļ·āđāļāļāļāđāļ§āļĒāļāđāļāļĄāļđāļĨ (Data Storytelling) āđāļāļĢāļ°āļāļąāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļāđāļēāļĄāļŠāļēāļĒāļāļēāļ (Cross-functional) āđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļŦāļĨāļēāļĒāđāļāļĢāļāļāļēāļĢāļāļĢāđāļāļĄāļāļąāļāđāļāđ.
- āļĄāļĩāļ āļēāļ§āļ°āļāļđāđāļāļģ āļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŠāļđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāđāļāđāļāļĒāđāļēāļāļāļīāļŠāļĢāļ°āļ āļēāļĒāđāļāđāļāļĢāļāļāļāļāļāđāļāđāļēāļŦāļĄāļēāļĒ āđāļĨāļ°āļāļāļĢāļ°āđāļāļĩāļĒāļāļāļĢāļīāļĐāļąāļ.
Experience:
5 years required
Skills:
Statistics, ETL, SQL
Job type:
Full-time
Salary:
negotiable
- Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders.
- Define and implement data flows through/ and around digital products.
- Participate in data modeling and testing to ensure smooth operations.
- Extract relevant data to solve analytical problems, and ensure development teams have the required data.
- Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function.
- Develop set processes for data profiling, data quality, data transformation, data mining and data protection.
- Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc.,.
- Track analytics impact on business, and provide recommendation for better result.
- Monitor market watch, and provide recommendation to improve efficiency of current projects.
- Professional Knowledge & Experiences.
- Bachelor s Degree in computer science, statistics, or related technical discipline.
- 5+ years experience with advanced data management system and master data management.
- Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library.
- Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc.
- Clear understanding in different data domains of operations, customers, etc.
- Ability to quickly learn new technologies.
- Additional Desirable Qualification.
- CORE Competencies.
Skills:
ETL, SQL
Job type:
Full-time
Salary:
āļŋ25,000 - āļŋ30,000, negotiable
- āđāļāđāļēāļĢāļ°āļ§āļąāļāđāļĨāļ°āļāļĢāļ§āļāļŠāļāļāļŠāļāļēāļāļ°āļāļēāļĢāļāļģāļāļēāļāļāļāļ ETL jobs āđāļĨāļ° data pipelines āļāđāļēāļāđ āļāđāļēāļāļĢāļ°āļāļ Monitoring tools.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āđāļāđāđāļāļāļąāļāļŦāļēāļāļĩāđāđāļāļīāļāļāļķāđāļāđāļĄāļ·āđāļ Job āļāļģāļāļēāļāđāļĄāđāļŠāļģāđāļĢāđāļ āļŦāļĢāļ·āļāļĨāđāļēāļāđāļē āđāļĨāļ°āđāļāđāđāļāđāļāļ·āđāļāļāļāđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĩāļĄāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļāđāđāļāļāļąāļāļŦāļēāļāļĩāđāļāļąāļāļāđāļāļ.
- āđāļāļĩāļĒāļāđāļĨāļ°āđāļāđāļāļģāļŠāļąāđāļ SQL āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩāđāļāļ·āđāļāļŠāļ·āļāļāđāļ āļāļĢāļ§āļāļŠāļāļ āđāļĨāļ°āļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢ āļŦāļĢāļ·āļāļŠāđāļāļĢāļēāļĒāļāļēāļāļŠāļĢāļļāļāļāļąāļāļŦāļēāđāļĨāļ°āđāļāļ§āļāļēāļāđāļāđāđāļāļāļĩāđāđāļāļīāļāļāļķāđāļāđāļŦāđāļāļąāļāļāļđāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- QualificationsāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ, āđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 0 - 2 āļāļĩ.
- Required Skills:Data Platform, Data Warehouse, Data Integration, SQL, ETL Tools,.
- āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļē.
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ.
- āļāļģāļāļēāļāļ āļēāļĒāđāļāđāļāļ§āļēāļĄāļāļāļāļąāļāđāļāđāļāļĩ..
Skills:
ETL, Power BI, SQL
Job type:
Full-time
Salary:
negotiable
- āļĢāļąāļāļāļīāļāļāļāļāļāļēāļĢāļāļāļāđāļāļ Data model āļāļĩāđāļĢāļāļāļĢāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļĒāļ°āļĒāļēāļ§.
- āļāđāļ§āļĒāļ§āļēāļāđāļāļāļāļēāļĢāļŠāļĢāđāļēāļ Data mart āđāļŦāđāđāļŦāļĄāļēāļ°āļāļąāļ use case āļāđāļēāļāđ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄ ETL / Data Engineer āđāļāļ·āđāļāļāļąāļ schema, pipeline āđāļŦāđāļāļĢāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ.
- āļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āđāļāļĨ requirement āļāļļāļĢāļāļīāļāļĄāļēāđāļāđāļ solution āđāļāļīāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĩ.
- āļāļģāļŦāļāđāļēāļāļĩāđāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļŦāđāļāļąāļāļŦāļāđāļ§āļĒāļāļļāļĢāļāļīāļ.
- āļāļāļāđāļāļāđāļĨāļ°āļāļąāļāļāļē Dashboard / Report āļāļ Power BI āļāļĒāđāļēāļ advance.
- āļāļķāļāļāđāļāļĄāļđāļĨāļāļēāļ DWH āđāļāļĒāđāļāđ SQL āļāļĩāđāļāļąāļāļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģ data wrangling.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāđāļāļŠāļēāļĒāļāļēāļ Data (BA āļŦāļĢāļ·āļ SA) 5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāļ āļēāļĐāļē SQL āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļ Visualization Tool āđāļāđāļ Power BI āđāļĨāļ°āļŦāļĢāļ·āļ Data tools āļāļ·āđāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāļąāļ Data.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļ Data Warehouse Concept, ETL āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļāļąāļāļĐāļ°āļāļēāļĢāļāļāļāđāļāļ Data model, Data Mart.
- āļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°/āđāļāđāđāļāļāļąāļāļŦāļē.
- Contact Information:-.
- K. Sawarin Tel.
- Office of Human Capital.
- DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
- F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
- MRT QSNCC Station Exit 1.
Skills:
Python, SQL, Java
Job type:
Full-time
Salary:
negotiable
- Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
- Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
- Data Transformation: Write data transformation jobs through code to optimize data processing.
- Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
- LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
- Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
- Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
- Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
- Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
- Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems..
- Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
- Experience: At least 3 years of experience in data engineering.
- Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik.
- Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
- Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.
- Desirable.
- System Design: Knowledge of system design and platform thinking to build sustainable solutions.
- Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
- Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
- API Development: Experience with API design to facilitate integration of LLMs with other systems.
- Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
- Visualization Solution: Skills in design and develop dashboard for analytic & insight.
- Agile Methodologies: Experience with agile software delivery and CI/CD processes.
Experience:
3 years required
Skills:
English
Job type:
Full-time
Salary:
negotiable
- Responsible for planning preventive maintenance schedules for air condition & Fire protection systems.
- Responsible for coordinating and managing vendors and suppliers to preventive maintenance and payment plans.
- 2nd Level support to Data Center Operation (FOC), on site to solve Incident and Problem management.
- 2nd Level support to engineer team all site, Data Center (TT1, TT2, MTG, BNA).
- To create & update reports and documents to comply with ISO 20k, 22k, 27k, 50k & TCOS standards.
- Review PUE, cost saving energy and report.
- Measured Efficiency air system and record annual report.
- Responsible for implementation of Mechanical such as comfort air, precision air.
- Responsible for implementation of Fire suppression such as FM200, NOVEC, CO2, Fire Sprinkler, Fire Pump, Fire alarm, and Vesda.
- Working period office time 9:00 - 18:00 and able to standby on call or onsite to work on holiday.
- Bachelor degree of Engineering, Mechanical engineering or related field.
- At Least 3 years experience in maintenance air conditioning such as comfort air, precision air, chiller air cool, water cool, pump motor: implement and support for mechanics-air condition systems in buildings or Data Centers.
- At least 1 years experience in designing air conditioners such as comfort air, precision air, chiller air cool, water cool, pump motor: implement, and support for mechanics-air condition systems in building.
- Able to Air - Diagram and Psychrometric chart knowledge.
- Able to work as a team and work in and standby on call on holiday.
- Able to work overtime if required and a hotline arrives (Less than 1 hour on site from your home).
- Proficiency in English communication is beneficial.
- Work Location: TrueIDC - Bangna Site (KM26).
Experience:
5 years required
Skills:
Python, ETL, Java
Job type:
Full-time
Salary:
negotiable
- Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
- Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
- Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
- Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
- Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
- Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
- Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
- Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
- Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
- Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
- Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
- Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
- Knowledge of data modeling principles and experience working with SQL databases.
- Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Location: True Digital Park, Bangkok (Hybrid working).
Job type:
Full-time
Salary:
negotiable
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
- LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN.
- (https://krungsri.com/bprivacynoticeen).
- The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
Skills:
TypeScript, node.js, MongoDB, English
Job type:
Full-time
Salary:
negotiable
- Collaborate with the product team to ensure effective implementation of products.
- Perform full lifecycle software development, from design to testing.
- Take ownership and accountability for assigned tasks and projects.
- Design, code, document, and test software using accepted languages and frameworks.
- Follow established coding standards and processes.
- Commit to delivering high-quality products to end-users.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of relevant work experience in software development.
- Professional proficiency in written and verbal English.
- Demonstrated track record in building efficient and scalable architectural solutions.
- Strong expertise with Javascript, ECMAScript, and Typescript..
- Strong expertise with backend technologies and Node.js runtime..
- Preferred experience with NestJS.
- Preferred experience with React and Next.js.
- Knowledge of design patterns, object-oriented programming (OOP), and functional programming concepts.
- Experience with backend performance optimization.
- Experience in handling, configuring, optimizing, and monitoring MongoDB, PostgreSQL, Elasticsearch..
- Experience in test automation techniques.
- Experience in REST and third-party API integrations.
- Familiarity with secure software development practices.
- Exposure to DevOps practices.
- Exposure to collaborating tools like GitHub, JIRA, Confluence.
- Compensation and Benefits.
- Competitive base salary.
- 10 days of annual leave in the first year, growing by 1 day per year to 15 days per year.
- 5 days of business leave.
- 10 - 20% Share of commission from owner and client referral.
- Health insurance on top of standard social security.
- BOI-sponsored visa & work permit for expats.
- Work Culture.
- International work environment and culture.
- 5 work days per week with 2 days work-from-home.
- Established and defined career paths.
- Monthly Celebration & Parties.
- Company Values.
- Customer & Partner First.
- Integrity & Reliability.
- Team Collaboration & Innovation.
- Proactive Ownership.
- Performance Culture: Work hard, have fun, make history.
Skills:
Scrum, Flutter, Java
Job type:
Full-time
Salary:
āļŋ60,000 - āļŋ90,000, negotiable
- Collaborate with an Agile team to design, develop, test, and maintain applications and services in accordance with established standards.
- Adhere to high-quality development principles while ensuring timely delivery of solutions and features.
- Design and implement end-to-end system architectures and solutions to meet business requirements.
- Define and establish appropriate infrastructure for each application and service.
- Package, release, and support the deployment of application versions across environments.
- Actively participate in Agile ceremonies such as Daily Scrum, Sprint Planning, Backlog Refinement, Sprint Review, and Sprint Retrospective.
- Prepare documentation, including reports, manuals, and operational guides, to support business and technical operations.
- Contribute to peer reviews of solution designs and related source code to ensure quality and maintainability.
- Analyze, troubleshoot, and resolve technical issues in applications and services.
- Collaborate closely with customer support, operations, and marketing teams to provide effective end-user support.
- 5 years of experience in Flutter and Spring Java development.
- Experience with Web Service and Software Architectures.
- Experience with relational databases (e.g., MySQL, Oracle) and message brokers (e.g., RabbitMQ, Kafka).
- Understanding of GitFlow and software version control concepts.
- Quick learner with the ability to grasp new concepts and technologies efficiently.
- Highly passionate about solving complex technical challenges.
- Excellent analytical and problem-solving skills.
- Please note that we will get in touch with shortlisted candidates only.
- FB: Krungsri Career.
- LINE: Krungsri Career.
- LINKEDIN: Krungsri.
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN.
- (https://krungsri.com/b/privacynoticeen).
- The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
Job type:
Full-time
Salary:
negotiable
- āļāļāļāđāļāļāđāļĨāļ°āļāļģāđāļāļīāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļĨāļĒāļļāļāļāđāļāļāļāđāļāļĢāđāļĨāļ°āđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāđāļĢāļ·āđāļāļāļāđāļēāļāđ āđāļāđāļ: āļāļēāļĢāļāļĢāļ§āļāļŠāļāļāđāļĨāļ°āļĨāļāļāļąāļāļŦāļē Frauded, āļāļēāļĢāļ§āļēāļāđāļāļāđāļāļ·āđāļ Optimization.
- āļŠāļĢāđāļēāļ Dashboard āđāļĨāļ°āļĢāļēāļĒāļāļēāļāđāļāļ Interactive āđāļāļĒāđāļāđ Power BI.
- āļŠāļĢāđāļēāļāđāļāļāļāļģāļĨāļāļāļāļēāļāļŠāļāļīāļāļī / Machine Learning āļŠāļģāļŦāļĢāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļāđāļ Sales Forecast, Fuel Consumption T_rends, Customer Segmentation āļŦāļĢāļ·āļ Anomaly Detection.
- āđāļāļĨāļ Pain Point āļāļēāļāļāļļāļĢāļāļīāļāđāļŦāđāđāļāđāļāđāļāļāļĒāđāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļāļģāđāļŠāļāļ Insight āļāļĩāđ actionable āđāļĨāļ° measurable.
- āļĢāđāļ§āļĄāļāļģāļŦāļāļ KPI āđāļĨāļ°āļ§āļēāļ Data Strategy āļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄāļāļļāļĢāļāļīāļāđāļĨāļ°āļāđāļāļāđ āđāļāļāļĩāļĄ.
- āļāđāļēāļĒāļāļāļāļāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļŦāđāļāļĩāļĄāļāļāļīāļāļąāļāļīāļāļēāļĢāđāļāđāļēāđāļāļāđāļēāļĒ āļāļĢāđāļāļĄāđāļāļ§āļāļēāļāļāļēāļĢāđāļāđāļāļąāļāļŦāļēāļāļĩāđāļāļģāđāļāđāļāđāđāļāđāļāļĢāļīāļ.
- āļāļĢāļīāļāļāļēāđāļāļāļķāđāļāđāļāđāļāļŠāļēāļāļē Data Science, Statistics, Computer Science, Business Analytics āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĒāđāļēāļāļāđāļāļĒ 5-10 āļāļĩ āđāļāļĒāđāļāļāļēāļ°āđāļāļāļĢāļīāļāļāļāļļāļĢāļāļīāļāļāļĢāļīāļ āđāļāđāļ retail, logistics.
- āđāļāļĩāđāļĒāļ§āļāļēāļāļāļēāļĢāļŠāļĢāđāļēāļ Dashboard āļāđāļ§āļĒ Power BI, Tableau āļŦāļĢāļ·āļāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāļĨāđāđāļāļĩāļĒāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļĩāļĒāļāđāļāļĢāđāļāļĢāļĄāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāđāļ§āļĒ Python, R, SQL.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāđāļĢāļ·āđāļāļ Machine Learning āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāđ Libraries āđāļāđāļ scikit-learn, XGBoost, PyTorch āđāļāđ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļģ Forecasting, Clustering āđāļĨāļ° Predictive Analytics.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļīāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļŠāļđāļ āļŠāļēāļĄāļēāļĢāļāđāļāļ·āđāļāļĄāđāļĒāļāļāđāļāļĄāļđāļĨāļāļąāļāļāļĢāļīāļāļāļāļļāļĢāļāļīāļāđāļāđāļāļĩ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļąāļ Cloud Platform āđāļāđāļ AWS, GCP, Azure āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
Experience:
7 years required
Skills:
Financial Modeling, Cash Flow Management, English
Job type:
Full-time
Salary:
āļŋ45,000 - āļŋ85,000, negotiable
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ.
- āļāļąāļāļāļģ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļģāđāļŠāļāļāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļ āļāļĨāļāļāļāđāļāļ āđāļĨāļ°āļāļĢāļ°āļĄāļēāļāļāļēāļĢāđāļāļĄāļīāļāļīāļāđāļēāļ āđ āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļāļāļēāļāđāļĨāļ°āļāđāļĒāļāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļĨāļēāļāļāļēāļĢāļĨāļāļāļļāļ āļāļąāđāļāđāļāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ āđāļāļ·āđāļ āļāļģāļĄāļē āļāļĢāļ°āđāļĄāļīāļāđāļāļāļēāļŠāđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļēāļāļ°āđāļāļīāļāļāļķāđāļ.
- āļ§āļēāļāđāļāļ āļāļģāļŦāļāļ āđāļĨāļ°āļāļĢāļąāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļāļ āļēāļĒāđāļāđāļāļĢāļāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļŦāđāļŠāļēāļĄāļēāļĢāļāļāļāļīāļāļąāļāļīāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļĨāļ°āļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļāļāļĩāļĄāļāļēāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļīāļĻāļāļēāļāļāļāļāļāļāļāđāļāļĢ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļĨāļ°āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāđāļāđāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļē.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļĒāđāļēāļāđāļāļāļĒāđāļēāļāļŦāļāļķāđāļāļŦāļĢāļ·āļāļāļąāđāļāļŦāļĄāļāļāļāļāļāļāļāļēāļāļāļēāļ āļāļąāļāļāļĩāđ.
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāđāļŠāļāļ āļĢāļēāļĒāļāļēāļāļāļēāļĢāļĨāļāļāļļāļāļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļāļāđāļāļĩāđāļĒāļĢāļąāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļĨāđāļ§āļāļŦāļāđāļē 3-5 āļāļĩ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āđāļāļ·āđāļāļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄāļāļāļāļāļĨāļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļāļāļēāļĢāļĨāļāļāļļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāđāļ āļāļāļāļļāļĨ āļāļāļāļģāđāļĢāļāļēāļāļāļļāļ āđāļĨāļ°āļāļāļāļĢāļ°āđāļŠāđāļāļīāļāļŠāļ āđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļŠāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāđāļāļīāļ.
- āļ§āļēāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļĨāļ°āļāļĨāļāļāļāđāļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļąāļāļāļģāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļĻāļķāļāļĐāļēāđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļāļģāļĄāļēāļāļĢāļ°āđāļĄāļīāļāļāļĨāļāļĢāļ°āļāļāđāļĨāļ°āđāļāļāļēāļŠāđāļāļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļĢāļāļąāļāļāļĢāļ°āļāļļāļĄāļāļāļ°āļāļāļļāļāļĢāļĢāļĄāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļēāļĢāļĨāļāļāļļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļēāļĢāļĨāļāļāļļāļāļāļĒāđāļēāļāļāđāļāļĒāđāļāļĢāļĄāļēāļŠāļĨāļ°āļŦāļāļķāđāļāļāļĢāļąāđāļ āļŦāļĢāļ·āļāđāļĄāđāļāđāļāļĒāļāļ§āđāļēāļāļĩāļĨāļ°āļŠāļĩāđāļāļĢāļąāđāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļąāļāļāļēāđāļĨāļ°āđāļŠāļĢāļīāļĄāļŠāļĢāđāļēāļāļĻāļąāļāļĒāļ āļēāļāļāļāļāļāļĩāļĄ.
- āļāļģāđāļŠāļāļāļĢāļēāļĒāļāļēāļāđāļĨāļ°āļāđāļāđāļŠāļāļāđāļāļ°āļāđāļēāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāđāļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļāļēāļāļēāļĢ āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļ āļāļĢāļīāļĐāļąāļāļŦāļĨāļąāļāļāļĢāļąāļāļĒāđāļāļąāļāļāļēāļĢāļāļāļāļāļļāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļāļĢāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāđāļŠāļāļ āļĢāļēāļĒāļāļēāļāļĨāļāļāļļāļāļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļāļāđāļāļĩāđāļĒāļĢāļąāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļĨāđāļ§āļāļŦāļāđāļē 3-5 āļāļĩ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āđāļāļ·āđāļāļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄāļāļāļāļāļĨāļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļāļāļēāļĢāļĨāļāļāļļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāđāļ āļāļāļāļļāļĨ āļāļāļāļģāđāļĢāļāļēāļāļāļļāļ āđāļĨāļ°āļāļāļāļĢāļ°āđāļŠāđāļāļīāļāļŠāļāđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļŠāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļĢāļ§āļēāļāđāļāļāđāļĨāļāļāļģāļŦāļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģ Financial Forecast, Cashflow Projection āđāļĨāļ° Feasibility Study.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļģāļŦāļāļ āļāļĨāļĒāļļāļāļāđāļāļēāļĢāļĨāļāļāļļāļ āđāļāļĒāļāđāļēāļāļāļīāļāļāļēāļāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļĨāļ°āđāļāļ§āđāļāđāļĄāļāļĨāļēāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļĄāļđāļĨāļāđāļēāđāļĨāļ°āļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ S.W.O.T. (Strengths, Weakness, Opportunities, Threats) āđāļāļ·āđāļāļĢāļ°āļāļļāļāļļāļāđāļāđāļ āļāļļāļāļāđāļāļ āđāļāļāļēāļŠ āđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļēāļāđāļāļīāļāļāļķāđāļ.
- āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāđāļĨāļ°āļāļēāļĢāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļāļĩāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāļĄāļĩāļĻāļąāļāļĒāļ āļēāļāļŠāļđāļāļŠāļļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļ āđāļāđāļ āļāđāļēāļĒāļāļąāļāļāļĩ āļāđāļēāļĒāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļŦāđāļĄāļąāđāļāđāļāļ§āđāļēāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļāđāļāđāļāļāļēāļĄāđāļāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļīāļāļāđāļāđāļĨāļ°āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļ āđāļāđāļ āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļ āļāļĢāļ·āļĐāļąāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļģāļāļąāļāļāļđāđāļĨ.
- āļāļēāļĢāļāļīāļāļāđāļāļāđāļēāļ§āļŠāļēāļĢāđāļĨāļ°āļāļąāļāļāļąāļĒāļ āļēāļĒāļāļāļāļāļĩāđāļŠāđāļāļāļĨāļāđāļāļāļĢāļīāļĐāļąāļ.
- āļāļīāļāļāļēāļĄ āđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļ āļāļĨāļēāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāđāļĒāļāļēāļĒāļ āļēāļāļĢāļąāļ āļāļĩāđāļāļēāļāļŠāđāļāļāļĨāļāđāļāļāļĨāļĒāļļāļāļāđāļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļąāļāļāļąāļĒāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļ āļāļĩāđāļāļēāļāļāļĢāļ°āļāļāļāđāļāļāļĢāļīāļĐāļąāļ āļāļąāđāļāđāļāđāļāļīāļāļāļ§āļāđāļāļīāļāļĨāļ āļāļĢāđāļāļĄāļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļĢāļąāļāļĄāļ·āļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ āđāļāļ·āđāļāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāđāļĨāļ°āļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļĨāļāļāđ āļāļĢāļīāļ§āļīāđāļĨāļ āļāļēāļĢāđāļ āļāļģāļāļąāļāļ āļēāļĢāļāļīāļāļāļĩāđāļāļģāļŦāļāļ.
- āđāļāđāļĢāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāļāļļāļāļ§āļļāļāļīāļāļĒāđāļēāļāļāļ·āđāļāļāļĩāđāđāļāļĩāļĒāļāđāļāđāļĢāļ°āļāļąāļāđāļāļĩāļĒāļ§āļāļąāļāđāļāļŠāļēāļāļēāļ§āļīāļāļēāđāļ āļŠāļēāļāļēāļ§āļīāļāļēāļŦāļāļķāđāļ āļāļēāļāļāļēāļĢāđāļāļīāļ āļāļąāļāļāļĩ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āđāļĻāļĢāļĐāļāļŠāļēāļŠāļāļĢāđ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļēāļĢāđāļāļīāļ āļāļēāļĢāļĨāļāļāļļāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāļāļĢāļąāļāļĒāđāļŦāļĢāļ·āļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļĒāđāļēāļāļāđāļāļĒ 7-10 āļāļĩ āđāļĨāļ°āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļĢāļ°āļāļąāļāļāļĢāļīāļŦāļēāļĢ 3-5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļāļāļēāļĢāđāļāļīāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļāļĢāđāļāļāļēāļĢāļĨāļāļāļļāļ āļāļēāļĢāļāļąāļāļāļģāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļĄāļđāļĨāļāđāļēāđāļāļĢāļāļāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļēāļĢāļāļĨāļēāļāļāļļāļ āļāļĨāļēāļāđāļāļīāļ āđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļēāļĢāļĨāļāļāļļāļāļāļąāđāļāđāļāļāļĢāļ°āđāļāļĻāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāđāļāļĢāđāļāļĢāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļīāļāļāđāđāļ§āļĢāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļāđ (āđāļāđāļ SETSMART, SETTRADE Streaming, Bisnews, ThaiBMA Bloomberg, Reuters āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļīāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĢāļīāļĄāļēāļ āđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē.
- āļāļ§āļēāļĄāļĢāļđāđ āļāļąāļāļĐāļ° āđāļĨāļ°āļŠāļĄāļĢāļĢāļāļ°āļāļĩāđāļāļģāđāļāđāļāđāļāļāļēāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļĄāđāļāđāļāļĒāļāļ§āđāļē 7-10 āļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļģāđāļŦāļāđāļ āļāļđāđāļāļąāļāļāļēāļĢ āļŦāļĢāļ·āļ āļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ āļāļĒāđāļēāļāļāđāļāļĒ 3 āļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ° āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļąāđāļāļŠāļđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄ Excel, Power BI āļŦāļĢāļ·āļāļāļāļāļāđāđāļ§āļĢāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĩāđāļĒāļ§āļāļąāļ Financial Modeling, Cashflow Management, āđāļĨāļ° Risk Management.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļģāđāļŠāļāļāļāđāļāļĄāļđāļĨāđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļāļēāļĢāļāļīāļāļāđāļāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļĢāļ°āļāļąāļāļāļĩ.
- āļāļēāļĄāļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļĨāļāļāđ āļāļĢāļīāļ§āļīāđāļĨāļ āļāļēāļĢāđāļ āļāļģāļāļąāļ āļāļĢāļ°āļāļēāļĻāļāļēāļĄāļāļģāđāļŦāļāđāļāļāļēāļ.
Skills:
SQL
Job type:
Full-time
Salary:
negotiable
- BOT (Bank of Thailand) Contact Center for RDT related including new requirement,.
- RDT requirement interpretation.
- Provide RDT Impact assessment for all Krungsri s New Product Initiatives.
- Provide Biz requirement together with Domain expert, data owners and supported functions.
- Support all adhoc requirement.
- Establish and maintain RDT procedure.
- Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
- Provide routine dashboard to all related functions for industry performance.
- Apply now if you have these advantages.
- Bachelor s degree or higher in Computer Science / Management Information System or any related field.
- Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
- Experience in regulatory data management,its relationship and dependencies.
- Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
- Well-versed in RDT regulation literacy.
- Well interpersonal skill with IT/Domain Expert/Data Owner.
- Have good understanding in data related skills is a plus (SQL, Analytic, BI tools).
- Why join Krungsri?.
- As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
- We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
- Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
- Apply now before this role is close. **.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
Skills:
Business Development, Automation, Industrial Engineering
Job type:
Full-time
Salary:
negotiable
- Define strategic objectives and budget for the Operational Excellence & Business Development function in alignment with corporate goals.
- Establish KPIs, strategic direction, and operational roadmap for the function.
- Oversee overall performance of the function to ensure delivery against strategic objectives (e.g., cost reduction, efficiency improvement, service quality enhancement).
- Manage all resources (people, budget, technology, and data) to ensure operational efficiency and effectiveness.
- Promote a culture of Continuous Improvement through the application of tools and methodologies such as Lean, Six Sigma, Kaizen, Value Stream Mapping, etc.
- Drive cross-functional collaboration with Operations, Business Units, and support functions (e.g., Supply Chain, IT, Quality, Retail Operations) to align goals and processes.
- Define and monitor KPIs on a regular basis and prepare performance reports for senior management.
- Lead Change Management initiatives to ensure improvement projects are implemented smoothly and that new systems/processes are effectively adopted.
- Analyze and assess business process risks and develop control measures to ensure business continuity.
- Evaluate and recommend appropriate technologies and automation/IT tools to support Operational Excellence initiatives.
- Develop team capabilities by identifying training needs, designing learning programs, and supporting team growth and succession development.
- Education.
- Bachelor s Degree (Master s Degree preferred).
- Major.
- Business Administration, Management, Industrial Engineering, or related fields.
- Work Experience.
- Minimum 10-15 years of experience in Operations Management, Process Improvement, Operational Excellence, or similar roles (more may be required in large organizations).
- Proven experience managing large functions/teams and working closely with senior executives.
- Experience in retail, service, fuel/oil, or energy industries will be an advantage.
Skills:
SQL
Job type:
Full-time
Salary:
negotiable
- BOT (Bank of Thailand) Contact Center for RDT related including new requirement,.
- RDT requirement interpretation.
- Provide RDT Impact assessment for all Krungsri s New Product Initiatives.
- Provide Biz requirement together with Domain expert, data owners and supported functions.
- Support all adhoc requirement.
- Establish and maintain RDT procedure.
- Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
- Provide routine dashboard to all related functions for industry performance.
- Apply now if you have these advantages.
- Bachelor s degree or higher in Computer Science / Management Information System or any related field.
- Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
- Experience in regulatory data management,its relationship and dependencies.
- Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
- Well-versed in RDT regulation literacy.
- Well interpersonal skill with IT/Domain Expert/Data Owner.
- Have good understanding in data related skills is a plus (SQL, Analytic, BI tools).
- Why join Krungsri?.
- As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
- We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
- Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
- Apply now before this role is close. **.
- FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
- LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
- Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
- EN (https://krungsri.com/b/privacynoticeen).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
Experience:
4 years required
Skills:
Procurement, Python, Power BI, English
Job type:
Full-time
Salary:
negotiable
- Apply data, digital tools, and AI methods to support consulting projects across Southeast Asia - transforming raw data into meaningful insights, building intuitive dashboards and self-service reports, and developing prototypes that help teams and clients make smarter decisions.
- Use modern technologies such as Microsoft Power Platform, Azure, Python, and GenAI to automate processes, and improve operational efficiency.
- Contribute to a diverse and fast-growing regional team by exploring emerging technol ...
- What You'll Bring.
- 4-8 years of relevant experience in procurement, supply chain, operations, consulting, or digital/analytics roles. Experience in the consulting industry is a strong advantage.
- Degree in economics, business informatics, engineering, or a related field, ideally with a focus on data, analytics, or digital technologies.
- Strong technical skills with a hands-on mindset, including high proficiency in Microsoft Power Platform especially Power BI, DAX, and Power Query and practical experience with Python and Azure-based data solutions.
- Confidence in building smart, scalable analytics tools, combined with the ability to translate business needs into impactful solutions.
- Curiosity for GenAI and intelligent automation, with a results-oriented mindset focused on delivering high-quality outcomes and measurable value.
- A grounded, collaborative team player, bringing authenticity, fairness, and positivity to the team culture.
- Flexibility and mobility to support projects across industries and locations within Southeast Asia.
- Fluency in English; proficiency in one or more Southeast Asian languages is a benefit.
- Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
- BCG is an E - Verify Employer. Click here for more information on E-Verify.
Skills:
Legal, Branding, SQL
Job type:
Full-time
Salary:
negotiable
- Establish and manage client relationships with agencies and brands.
- Define and co-own account plans to unlock investments and drive client s business objectives.
- Be a strong consultant to agencies and brands though full-funnel digital media offerings and e-commerce.
- Create persuasive sales presentations using market trends, case studies and product collateral.
- Retain and grow revenue from advertisers; exceed quarterly sales goals.
- Provide clients with the highest level of customer service and consultancy.
- Roll out training and enablement programs, and aid in agency certification program.
- Frame client opportunities and challenges to enroll in cross functional support.
- Collaborate with internal teams globally and regionally across product, marketing, legal, engineering and sales to structure and execute operational and strategic initiatives such as developing account plans, synthesising market data, leading client analysis and defining the overall solutions approach.
- Brainstorm, identify, and implement advertising solutions on TikTok products to deliver measurable results for clients.
- Identify relevant trends and opportunities to craft business cases in support of any new products and/or solutions.
- Ensure smooth operations for campaigns from start to finish by working closely with different cross functional team members.
- 5+ years of experience in ad tech sales, digital media planning, or strategy roles.
- Strong understanding of digital media platforms, ad tech ecosystems, and measurement for branding and performance campaigns.
- Proven ability to consistently meet and exceed sales targets.
- Experience working effectively with cross-functional teams in a fast-paced environment.
- Excellent presentation and communication skills, with the ability to influence senior stakeholders.
- Analytical mindset with the ability to interpret data and translate insights into business impact.
- Experience in e-commerce is strongly preferred.
- Proficiency with SQL, data visualization tools (e.g., Power BI, Tableau), or database pipelines is a plus.
- Self-starter with a fast-learning, can-do attitude.
- Ambitious and resilient, with a strong desire to grow and develop within TikTok and ByteDance.
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