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āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be focal point and accountable person to cater engineering digital solutions in each of key focus areas.
- Provide implementation of engineering digital services through a range of digital methodologies, solutions.
- Develop standard, guideline leveraging from engineering data best practice e.g. CFIHOS.etc.
- Analyze as-is and to-be engineering processes and further define system / technology / business requirements.
- Capture and translate of business requirements to digitally enabled solutions.
- Ensure engineering data in specific focus areas are managed in concept of single source of truth, accepted in term of quality and controlled under appropriate user roles.
- Professional Knowledge & Experiences.
- Bachelor s or higher in Mechanic, Instrumental, Electrical or other engineering related field.
- Minimum 5 years experience involving in Engineering, Construction, Maintenance or Operation, preferably in the oil and gas or a similar industry.
- Understand overall typical engineering & construction development processes, basic understanding of asset life cycle.
- Possess data and information skill or be in the position of using, managing & controlling data.
- Having experience of key user roles involving in software / application development, understand how business requirements are translated to software requirements.
- Understand IT basic knowledge e.g. UI/UX design, Application Programming Interface, Database.etc.
- Having interest to learn in new digital solutions or technologies.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļīāļāļēāļĢāļāļē āđāļĨāļ°āļāļāļāļ§āļāļ§āļāđāļāļīāļāļŠāļīāļāđāļāļ·āđāļāđāļāđāļĨāļđāļāļāđāļēāđāļāļāļēāļĢāļāļ·āđāļāļāļēāļĒ āđāļāļ·āđāļāļāđāļāļāļēāļĢāļāļģāļĢāļ°āđāļāļīāļ āđāļĨāļ°āļŦāļĨāļąāļāļāļĢāļ°āļāļąāļ āļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄ āļ āļēāļĒāđāļāđāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļĒāļāļĄāļĢāļąāļāđāļāđ āļāļĨāļāļāļāļāļāļĢāļ§āļāļŠāļāļāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļāđāļāļĄāļđāļĨāļĨāļđāļāļāđāļēāđāļāļĢāļ°āļāļāđāļŦāđāļāļđāļāļāđāļāļ āļāļĢāļāļāđāļ§āļ āđāļĨāļ°āđāļāđāļāļāļąāļāļāļļāļāļąāļ
- āđāļŦāđāļāļ§āļēāļĄāđāļŦāđāļāļāđāļēāļāđāļāļĢāļāļīāļāļāļĢāļāļĩāļāļēāļĢāļāļēāļĒāļāđāļēāļāļāļģāļŠāļąāđāļāļāļ·āđāļāļāļĩāđāļĄāļĩāļŠāļāļēāļāļ°āđāļāļīāļāļ§āļāđāļāļīāļāđāļĨāļ°/āļŦāļĢāļ·āļāđāļāļīāļāļāļģāļŦāļāļāļāļģāļĢāļ°
- āļāļąāļāļāļē āļāļĢāļąāļāļāļĢāļļāļ āļĢāļ°āļāļāļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāđāļāļĢāļāļāļēāļĢāļāđāļēāđāļĨāļ°āļĢāļ°āļāļāļāļēāļāļāđāļēāļāļŠāļīāļāđāļāļ·āđāļ āđāļāļ·āđāļāļĄāļĩāļĢāļ°āļāļāļāļēāļāļāđāļāļĄāļđāļĨāļāļĩāđāļāļĢāļāļāđāļ§āļ āļĢāļ§āļāđāļĢāđāļ§ āđāļĨāļ°āļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļīāđāļĄāļāļķāđāļ
- āļāļąāļāļāļģāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļĢāļēāļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāđāļ āļĢāļēāļĒāļāļēāļāļāļēāļĢāļāļąāļāđāļāļĢāļāļāļēāļĢāļāđāļē āļĢāļēāļĒāļāļēāļāļĨāļđāļāļŦāļāļĩāđāļāđāļēāļāļāļģāļĢāļ°
- āļāļģāļŦāļāđāļēāļāļĩāđāđāļāđāļāđāļĨāļāļēāļāļāļāļāļāļ°āļāļāļļāļāļĢāļĢāļĄāļāļēāļĢāļŠāļīāļāđāļāļ·āđāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļąāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄ āļāļēāļĢāļāļąāļāđāļāļĢāļĩāļĒāļĄāđāļāļāļŠāļēāļĢāļāļĢāļ°āļāļāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄ āđāļĨāļ°āļāļēāļĢāļāļąāļāđāļāļĢāļĩāļĒāļĄāļĢāļēāļĒāļāļēāļāļāļēāļĢāļāļĢāļ°āļāļļāļĄ
- āļāļđāđāļĨ āļāļĢāļ§āļāļŠāļāļāļŦāļĨāļąāļāļāļĢāļ°āļāļąāļ āđāļāđāļ āđāļāļīāļāļŠāļ āļŦāļāļąāļāļŠāļ·āļāļāđāļģāļāļĢāļ°āļāļąāļ (BG) āđāļŦāđāļāļđāļāļāđāļāļāļāļēāļĄāļāđāļāļāļģāļŦāļāļāļāļāļāļāļĢāļīāļĐāļąāļāļŊ āđāļĨāļ°āļĄāļĩāļāļĨāļāļąāļāļāļąāļāđāļāđāļāļēāļĄāļāļāļŦāļĄāļēāļĒ āļāļĢāđāļāļĄāļāļąāđāļāļāļēāļĢāđāļŦāđāļāļĨāļāļāļāđāļāļāļāļĢāļāļĩāļŦāļĨāļąāļāļāļĢāļ°āļāļąāļāđāļāđāļāđāļāļīāļāļŠāļ āđāļāļ·āđāļāļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļāļāļēāļĢāđāļĢāļĩāļĒāļāđāļāđāļāđāļāļīāļāđāļĄāđāđāļāđ
- āļāļĢāļ°āđāļĄāļīāļāļāđāļēāđāļāļ·āđāļāļŦāļāļĩāđāļŠāļāļŠāļąāļĒāļāļ°āļŠāļđāļāļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļŠāļģāļŦāļĢāļąāļāļāļąāļāļāļģāļāļāļāļēāļĢāđāļāļīāļ
- āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļĨāļ°āđāļŦāđāļāđāļāļĄāļđāļĨāļāļąāļāļāļĢāļīāļĐāļąāļāļāļĢāļ°āļāļąāļāļ āļąāļĒ (Trade Credit Insurance) āđāļāļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļ§āļāđāļāļīāļāđāļŦāđāļŠāļīāļāđāļāļ·āđāļāļāļąāļāļĨāļđāļāļāđāļē
- āļāļĢāļīāļāļāļēāļāļĢāļĩ/āđāļ āļŠāļēāļāļēāļāļēāļĢāđāļāļīāļ āļāļąāļāļāļĩ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļ āļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ āļāļēāļĢāđāļāļīāļāļāļēāļĢāļāļāļēāļāļēāļĢāļŦāļĢāļ·āļāļāļēāļāļŠāļīāļāđāļāļ·āđāļāđāļĄāđāļāđāļģāļāļ§āđāļē 10 āļāļĩ
- āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđ
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļēāļāđāļāļ āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢ āđāļāļĢāļāļēāļāđāļāļĢāļāļ āđāļĨāļ°āđāļāđāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđāļāļĩ
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āđāļŦāđāļāļ§āļēāļĄāđāļŦāđāļāļāļēāļĄāļāļĩāđāļāļāđāļāļāļāđ āļāđāļĒāļāļēāļĒ āđāļĨāļ°āļĢāļ°āđāļāļĩāļĒāļ
- āļĄāļāļļāļĐāļĒāļŠāļąāļĄāļāļąāļāļāđāļāļĩāđāļĨāļ°āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļāļīāļāļāđāļāļāļĢāļ°āļŠāļēāļāļāļēāļāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāđāļāđ SAP āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļ āļēāļĒāđāļāđāļ āļēāļ§āļ°āļāļāļāļąāļāđāļāđ.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ50,000 - āļŋ70,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lazada s strong performance led to the acquisition of a majority stake by Alibaba Group in April 2016. Given our tremendous growth, we are searching for dynamic, entrepreneurial, broad-minded individuals to be part of our rapidly expanding team! Join our diverse and motivated team to hone in on your creativity as well as implement new initiatives within a nurturing, equal opportunity environment!.
- Lazada Thailand employs over 850+ professionals and has won many awards namely for Top Marketplace from Priceza and People's Choice 2017..
- Job Scope.
- ę· Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision making.
- ę· Data extraction via SQL for analysis and reporting purpose, ensuring data quality and accuracy.
- ę· Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
- ę· Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
- ę· Collaborate with cross-functional teams to consolidate and track progress of business actions, as well as ensuring delivery of reports and insights.
- ę· Maintain in-house data and documentation portals, ensuring data quality and up-to-date information & reports.
- ę· Stay updated with industry trends and new technologies to enhance data analytics capabilities..
- ę· Bachelor's/Master's Degree, preferably in MBA, Management, Business Analytics, Statistics, Mathematics.
- ę· Strong analytical and problem-solving skills, with ability to breakdown complex problems into simpler pieces.
- ę· Effective communicator with excellent presentation skills.
- ę· Self-motivated, strong ownership and strong team management skills.
- ę· Prior knowledge & experience on working with SQL is desirable, and at least one data visualization tool (e.g., Tableau, Power BI).
- ę· At least 2-3 years of work experience in analytics, consulting, or other quantitative position would be highly preferred.
āļāļąāļāļĐāļ°:
Excel
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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.
āļāļąāļāļĐāļ°:
Data Analysis, ETL, Data Warehousing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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 Governance and Security: Establish and enforce data governance policies and procedures, including data privacy and security measures, to ensure compliance with industry regulations and protect sensitive data.
- Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
- Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand their data needs, provide data solutions, and support their analytical initiatives.
- Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
- Documentation: Maintain documentation of data processes, data flows, data models, and system configurations, ensuring accuracy and accessibility for future reference.
- 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.
- Understanding of data governance, data security, and regulatory compliance requirements.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
- Ability to work in a fast-paced environment and handle multiple projects simultaneously.
- Location: BTS Ekkamai
- Working Day: Mon-Fri.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing, enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.
- Develop data pipeline automation using Azure technologies, Databricks and Data Factory
- Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards and collaborate with data scientists, data analyst, data governance team or business stakeholders on several projects
- Analyze and perform data profiling to understand data patterns following Data Quality and Data Management processes
- 3 years+ experience in big data technology, data engineering, data analytic application system development.
- Have an experience of unstructured data for business Intelligence or computer science would be advantage.
- Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.
āļāļąāļāļĐāļ°:
Big Data, ETL, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
- Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
- Maintain data dictionary, relationship and its interpretation.
- Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
- Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
- Develop big data solutions for batch processing and near real-time streaming.
- Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
- Select and integrate appropriate tools and frameworks required to provide requested capabilities.
- Design and develop BI solutions.
- Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
- Keep abreast of new developments in the big data ecosystem and learn new technologies.
- Ability to effectively work independently and handle multiple priorities.
- Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
- 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
- Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
- Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
- Experience in Python is a must.
- Experience in Generative AI is a must.
- Knowledge in machine/statistical learning, data mining is a plus.
- Strong analytical, problem solving, communication and interpersonal skills.
- Having good attitude toward team working and willing to work hard.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
ETL, DevOps, Automation, Big Data, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Pipeline Development: Design, implement, and optimize scalable ETL/ELT pipelines to ingest, transform, and store structured and unstructured data in a cloud environment (AWS is a core but not limit).
- Machine Learning Pipeline Development: Work collaboratively with data scientists to productionize and maintain scalable machine learning services. The solutions encompass a variety of approaches, including traditional and near real-time machine learning, deployed across multi-state service architectures.
- Data Platform: Collaborate closely with DevOps and infrastructure teams to design, implement, and manage scalable data storage and processing platforms. Leverage AWS services such as S3, Redshift, Glue, Lambda, Athena, and EMR to ensure performance, reliability, and cost-efficiency.
- Data Modeling and Schema Management: Develop and maintain robust data models and schemas to support analytics, reporting, and operational requirements. Adhere to the design principle of establishing a "single version of truth" to ensure consistency, accuracy, and reliability across all data-driven processes.
- Data/AI Quality-as-a-Service Development: Design, develop, and maintain scalable "Data/AI Quality-as-a-Service" solutions, adhering to zero-ops design principles. The scope of quality includes monitoring data drift, analyzing performance metrics, and detecting model drift to ensure consistent, reliable, and high-performing AI systems.
- Cross-Functional Collaboration: Collaborate closely with data scientists, analysts, and application developers to ensure the seamless integration of data solutions into workflows, enhancing functionality and enabling data-driven decision-making.
- Automation & Monitoring: Design and implement robust monitoring and automation frameworks to ensure the high availability, performance, and cost-efficiency of data workflows, guided by the principle of "Zero Ops by Design.".
- Compliance & Security: Uphold data security, privacy, and compliance with banking regulations and industry standards, ensuring all solutions meet rigorous governance requirements.
- Continuous Improvement: Stay informed about emerging technologies and trends in cloud data engineering, advocating for their adoption to enhance system capabilities and maintain a competitive edge.
- Educational BackgroundBachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related field.
- Experience3+ years of experience in cloud data engineering or similar roles.
- Proven expertise in cloud data technologies.
- Hands-on experience with big data technologies such as Apache Spark.
- Technical SkillsProficiency in SQL and programming languages such as Python, Java, or Scala.
- Expertise in data pipeline and workflow orchestration tools for both batch and real-time processing (e.g., Apache Airflow, AWS Step Functions).
- Understanding of data warehouse and lakehouse architectures.
- Familiarity with software development best practices, including SDLC concepts, CI/CD/(+CL) pipelines, and Infrastructure as Code tools (e.g., Terraform, AWS CloudFormation).
- Other SkillsStrong problem-solving and analytical thinking capabilities.
- Excellent communication and collaboration skills.
- Preferred QualificationsAWS Data Analytics - Specialty certification or equivalent experience.
- Experience in banking or fintech environments. Understanding of financial data and regulatory requirements.
- Familiarity with real-time data processing and stream analytics.
- Experience in working end-to-end with data scientists and analysts as part of "AnalyticsOps" to develop and maintain ML/AI services is a strong advantage.
- āļāđāļēāļāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļĨāļ°āļĻāļķāļāļĐāļēāļāđāļĒāļāļēāļĒāļāļ§āļēāļĄāđāļāđāļāļŠāđāļ§āļāļāļąāļ§āļāļāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāđāļāļĒ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ) āļāļĩāđ https://krungthai.com/th/content/privacy-policy āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāđāļĄāđāļĄāļĩāđāļāļāļāļēāļŦāļĢāļ·āļāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļāđ āļāļĩāđāļāļ°āļāļĢāļ°āļĄāļ§āļĨāļāļĨāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ āļĢāļ§āļĄāļāļķāļāļāđāļāļĄāļđāļĨāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļĻāļēāļŠāļāļēāđāļĨāļ°/āļŦāļĢāļ·āļāļŦāļĄāļđāđāđāļĨāļŦāļīāļ āļāļķāđāļāļāļēāļāļāļĢāļēāļāļāļāļĒāļđāđāđāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļāļāļāļāļāđāļēāļāđāļāđāļāļĒāđāļēāļāđāļ āļāļąāļāļāļąāđāļ āļāļĢāļļāļāļēāļāļĒāđāļēāļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāđāļāđ āļĢāļ§āļĄāļāļķāļāļŠāļģāđāļāļēāļāļąāļāļĢāļāļĢāļ°āļāļģāļāļąāļ§āļāļĢāļ°āļāļēāļāļ āļŦāļĢāļ·āļāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§āļŦāļĢāļ·āļāļāđāļāļĄāļđāļĨāļāļ·āđāļāđāļ āļāļķāđāļāđāļĄāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāđāļĄāđāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļŠāļĄāļąāļāļĢāļāļēāļāđāļ§āđāļāļāđāļ§āđāļāđāļāļāđ āļāļāļāļāļēāļāļāļĩāđ āļāļĢāļļāļāļēāļāļģāđāļāļīāļāļāļēāļĢāđāļŦāđāđāļāđāđāļāļ§āđāļēāđāļāđāļāļģāđāļāļīāļāļāļēāļĢāļĨāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļāļĩāđāļĄāļĩāļāļ§āļēāļĄāļāđāļāļāđāļŦāļ§ (āļāđāļēāļĄāļĩ) āļāļāļāļāļēāļāđāļĢāļāļđāđāļĄāđāđāļĨāļ°āđāļāļāļŠāļēāļĢāļāļ·āđāļāđāļāļāđāļāļāļāļĩāđāļāļ°āļāļąāļāđāļŦāļĨāļāđāļāļāļŠāļēāļĢāļāļąāļāļāļĨāđāļēāļ§āđāļ§āđāļāļāđāļ§āđāļāđāļāļāđāđāļĨāđāļ§āļāđāļ§āļĒ āļāļąāđāļāļāļĩāđ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļāđāļāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāđāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāļāļļāļāļāļĨāđāļāđāļēāļāļģāļāļēāļ āļŦāļĢāļ·āļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļļāļāļŠāļĄāļāļąāļāļī āļĨāļąāļāļĐāļāļ°āļāđāļāļāļŦāđāļēāļĄ āļŦāļĢāļ·āļāļāļīāļāļēāļĢāļāļēāļāļ§āļēāļĄāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļļāļāļāļĨāļāļĩāđāļāļ°āđāļŦāđāļāļģāļĢāļāļāļģāđāļŦāļāđāļ āļāļķāđāļāļāļēāļĢāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ·āđāļāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāđāļēāļāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāđāļāđāļēāļāļģāļŠāļąāļāļāļēāđāļĨāļ°āļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļāļēāļĄāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļ āđāļāļāļĢāļāļĩāļāļĩāđāļāđāļēāļāđāļĄāđāđāļŦāđāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļāļēāļĢāđāļāđāļāļĢāļ§āļāļĢāļ§āļĄ āđāļāđ āļŦāļĢāļ·āļāđāļāļīāļāđāļāļĒāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄ āļŦāļĢāļ·āļāļĄāļĩāļāļēāļĢāļāļāļāļāļ§āļēāļĄāļĒāļīāļāļĒāļāļĄāđāļāļ āļēāļĒāļŦāļĨāļąāļ āļāļāļēāļāļēāļĢāļāļēāļāđāļĄāđāļŠāļēāļĄāļēāļĢāļāļāļģāđāļāļīāļāļāļēāļĢāđāļāļ·āđāļāļāļĢāļĢāļĨāļļāļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđāļāļąāļāļāļĨāđāļēāļ§āļāđāļēāļāļāđāļāđāļāđ āđāļĨāļ°āļāļēāļ āļāļģāđāļŦāđāļāđāļēāļāļŠāļđāļāđāļŠāļĩāļĒāđāļāļāļēāļŠāđāļāļāļēāļĢāđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāļĢāļąāļāđāļāđāļēāļāļģāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢ".
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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).
āļāļąāļāļĐāļ°:
Windows Server, VMware, DevOps, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be accountable for the successful delivery of Microsoft Azure and M365 projects for enterprise customer including Windows server and Active Directory deployment.
- Communicate and manage senior stakeholders across multiple business lines and suppliers.
- Establish an understanding of the business, develop a deep understanding of business needs to create deployment and migration delivery plans.
- Lead and inspire teams.
- Bachelor s degree or higher in Computer science, Computer engineering, IT or other related fields.
- 5+ years experience in the field of Azure, M365 and Microsoft server implementation.
- Experience with Microsoft implementation team leading or delivery team manager.
- Troubleshooting and analytical skills.
- Good communication and collaboration skills.
- Client management skills.
- Good command of English.
- Engineering Specialist.
- Provisioning and delivery strategic and complex IaaS cloud services to Enterprise customer.
- Container service implementation.
- Backup and disaster recovery site implementation.
- IaaS cloud migration and hand-over to related team.
- Validation of Cloud services solution and architect.
- Co-operation with stakeholder and perform technical planning to ensure on-time delivery.
- At least 5 years experience on VMware Cloud platform implementation and solution design.
- Experience with vCenter, vCloud Director, VMware Tanzu, SDDC, VCF or Veeam Backup and Replication.
- Ability to take on multiple assignments.
- Ability to occasionally work or assign work during nights/weekends during critical incidents per on-call rotation or major project implementations.
- Good command of English.
- VMware VCP certification is an advantage.
- Senior Engineer; (Cloud; AWS).
- Building and operating apps on AWS using tech such as API Gateway, Lambda, RDS, Automated deployment tooling and CI/CD.
- Participate in deep architectural discussions and design exercises to create solutions built on AWS while ensuring solutions are designed.
- Migration of the server loads from on-prem to Cloud working under The direction of Migration Architect.
- Conceptualizing and architecting Cloud Migration solutions.
- Build deep relationships with senior technical individuals within customers toenable them to be Cloud advocates.
- Bachelor s degree or higher in Computer science, Computer engineering, IT or other related fields.
- Good working knowledge of AWS environment and various resources/services.
- Good working knowledge of AWS DevOps Experience.
- Good Infrastructure and server management experience.
- Preferably Knowledge of AWS Migration Hub & AWS Server Migration Services.
- Experience with private and public cloud architectures, pros/cons, and migration considerations.
- Ability to occasionally work or assign work during nights/weekends during critical incidents per on-call rotation or major project implementations.
- Good command of English.
āļāļąāļāļĐāļ°:
Cloud Computing, RESTful, JSON
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor or master s degree in computer and Telecommunication Engineering, Computer Science, IT or in a related field.
- 8 - 13 years of experience in the Computer or Telecommunication field.
- Good Knowledge on cloud computing & edge computing technology.
- Good understanding on infrastructure technic that related of TCP/IP, Switch, Router, Firewall, LBS, and DNS.
- Good understanding technic that related of IoT/M2M/MEC Network Protocols - HTTP, HTTPS, Restful, MQTT, COAP, JSON objects, API, SNMP.
- Operating System knowledge: Linux-Redhat, CenOS, Windows Server.
- Database knowledge - Mongo DB, NoSQL DB, SQL, PostgreSQL.
- Good understanding of Docker and Kubernetes operations.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
6 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Oracle, Java, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Be familiar with oracle technology such Oracle DB and related programming language such as java, pl/sql and linux script.
- Be advantage if you are familiar with Oracle Retail Suite or Oracle ERP.
- Create data flow/system flow/detail design to make the team clear in backlog and acceptance criteria.
- Create related documents as knowledge management for team and stakeholder.
- Co-ordinate with stakeholder (Business Team/Developer/QA/TPM/DEVOPS/Solution Architect) to solve any blocking issue in software development.
- Understand and adapt testing methodology and work with QA team to delivery software with Quality.
- Understand and adapt Agile methodology in software development.
- Understand and adapt CI/CD and be familiar with DEVOPS tools in software development.
- Work with L1/L2 support team as L3 to solve any production issues within SLA.
- Be senior team member and work with teammate to delivery software with quality. And be consultant for Jr. team member to solve some blocking problems.
- Bachelor s in Computer Science or related field.
- 6+ years in Developer/System Analyst with leadership experience.
- Proficient in Oracle Database, PL/SQL, Java, and Linux scripting. Experience with Oracle Retail Suite or Oracle ERP/Oracle Retail is a strong advantage.
- Skilled in creating data flows, system flows, and detailed design documentation to clarify requirements and acceptance criteria for the team.
- Strong coordination skills to work effectively with business teams, developers, QA, DevOps, and Solution Architects to resolve development issues and remove blockers.
- Experienced in Agile methodology.
- Ability to serve as L3 support for production issues, providing mentorship to junior team members and ensuring high-quality delivery.
- Good English proficiency.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Python, ETL, Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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).
āļāļąāļāļĐāļ°:
Data Analysis, Finance, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
- Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
- Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
- ML Model creation: Create data analytic model including both deterministic and machine learning model.
- AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
- Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
- Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
- Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
- Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
- Master's degree in Finance, Business, Engineering, or a related field.
- Strong business acumen, with a deep understanding of retail and wholesale business.
- 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
- Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
- Good Knowledge of Statistics.
- Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
- Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
- Fluent in Thai and English.
- Having a good attitude toward teamwork and willing to work hard.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļąāļāļĐāļ°:
Contracts, Compliance, Project Management, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead the entire construction process of mixed-use projects; make strategic decisions and provide leadership/direction to construction team.
- Manage timelines, budgets, and vendors/contractors to ensure that project is completed on time, within budget, and meet quality standards.
- Work closely with interior designers and construction vendors to ensure smooth and timely completion of mixed-use projects according to the agreed design.
- Identify and mitigate risks and create action plans to prevent issues and resolve any design or construction issues that arise during the project.
- Negotiate contracts and ensure compliance with terms and conditions.
- Conduct regular site visits to monitor work progress and quality.
- Build and maintain strong relationships with vendors, contractors, and any outsourced management.
- Collaborate with internal and external stakeholders to facilitate smooth project execution.
- Negotiate, communicate and follow up effectively with the contractors and subcontractors responsible for completing various phases of the project.
- Identify and manage tools, materials, and equipment and ensure inventory is tracked effectively.
- Ensure all construction activities comply with local building codes, quality standards, and safety and building regulations.
- Prepare and present regular progress reports to senior management.
- Maintain accurate project documentation and records.
- Bachelor s degree or higher in Business Administration, Engineering, Architecture, Construction Management, or related field.
- At least 10 years of direct experience in construction/ property project management, preferably in a large retail and mixed-use project environment.
- Proven experience in managing budgets, timelines, and vendor relationships.
- Expert knowledge of construction processes and details, materials, and relevant quality standards and regulations.
- Strong communication and negotiation skills in both Thai and English.
- Knowledge of design techniques, tools, and principles involved in technical planning, blueprints, and drawings.
- Excellent organizational and multitasking skills with high attention to details.
- Ability to work independently and collaboratively with cross-functional teams.
- Ability to deal with conflict and crisis effectively.
- Leadership and human resources management skills.
- Excellent time and project management skills.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļąāļāļĐāļ°:
Research, Risk Management, Microsoft Office
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Transaction Monitoring:Analyze transactions in real-time using fraud detection tools and rules.
- Identify suspicious activity based on pre-defined risk profiles and behavioral patterns.
- Investigate flagged transactions and determine their legitimacy.
- Escalate high-risk cases to the Fraud Management team for further investigation.
- Fraud Investigation:Gather and analyze evidence related to suspected fraudulent activity.
- Conduct research to identify potential fraud schemes and perpetrators.
- Document findings and recommend appropriate actions, such as blocking accounts, recovering funds, or reporting to law enforcement.
- Collaborate with internal teams (customer support, risk management) to resolve cases effectively and efficiently.
- Data Analysis & Reporting:Analyze fraud trends and patterns to identify emerging threats and adjust detection rules accordingly.
- Generate reports on fraud activity, providing insights to the Fraud Management team and senior management.
- Track and measure the effectiveness of fraud prevention and detection measures.
- Stay Informed:Stay up-to-date on the latest fraud threats, trends, and best practices.
- Participate in ongoing training and development opportunities to enhance your skills and knowledge.
- Minimum of 2-3 years of experience in fraud analysis or a related field.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and ability to identify anomalies in data.
- Proficient in Microsoft Office Suite,SQL language and data analysis tools.
- Understanding of fraud detection and prevention techniques preferred.
- Effective communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Bachelor's degree in business administration, finance, IT, engineering, or a related field preferred.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop machine learning models such as credit model, income estimation model and fraud model.
- Research on cutting-edge technology to enhance existing model performance.
- Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
- Develop sentimental analysis model in order to support collection strategy.
- Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
- 2-5 years of experiences in programming languages such as Python, SQL or Scala.
- 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
- Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
- Experience with source version control (Git, Bitbucket).
- Proven knowledge on Rest API, Docker, Google Big Query, VScode.
- Strong analytical skills and data-driven thinking.
- Strong understanding of quantitative analysis methods in relation to financial institutions.
- Ability to clearly communicate modeling results to a wide range of audiences.
- Nice to have.
- Experience in image processing or natural language processing (NLP).
- Solid understanding in collection model.
- Familiar with MLOps concepts.
āļāļąāļāļĐāļ°:
Project Management, Quantitative Analysis, Industrial Engineering
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Work closely with senior management team to develop initiatives on operations efficiency through innovation, process improvement and retail productivity.
- Apply deep knowledge of trend, financial data, process standard and translate into actionable insight.
- Plan and develop report/ presentation to support project for trial and roll out.
- Lead, collaborate and facilitate stakeholders across the business to ensure joined up approach and achieve targets together with process and budget owners.
- Track and updated project process on a regular basis, ensure the project is able to achieve milestone. Including develop mitigation plan for any critical issues occurred.
- 5 years+ working experience in process improvement, project management, and/or quantitative analysis.
- Experience with process improvement strategies and analytical techniques of Six Sigma, Lean, Cost saving etc.
- Experience in defining and leading multiple change programs in a dynamic environment.
- Experience as a consultant for internal or external clients is a PLUS.
- Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
- Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
- Skilled in process improvement, project management, and data analysis.
- Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
- Ability to work independently and under pressure with a business-partnering mindset.
- Good presentation, communication and influencing skills.
- Six Sigma Green Belt certification preferred.
- CP Axtra | Lotus's
- CP Axtra Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļąāļāļĐāļ°:
Data Analysis, Industrial Engineering, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
- Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
- Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
- Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
- Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
- Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
- 2-5 years+ working experience in Data Analytics, Process Improvement.
- Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
- Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
- Skilled in process improvement, project management, and data analysis.
- Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
- Ability to work independently and under pressure with business-partnering mindset.
- Good presentation, communication and influencing skills.
- Six Sigma Green Belt certification preferred.
- CP AXTRA | Lotus's
- CP AXTRA Public Company Limited.
- Nawamin Office: Buengkum, Bangkok 10230, Thailand.
- By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .
āļāļąāļāļĐāļ°:
Budgeting, Industrial Engineering, Enthusiastic
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Align business systems initiatives with an organization's goals.
- Work closely with executive management.
- Translate strategic direction into team direction plans.
- Contribute to the development of business strategies.
- Leading team and determine the key activities related to the scope of the projects.
- Design the working approach and project deliverables to align with the business objective and expected outcome.
- Determine the high and execution level plan.
- Manage and negotiate 3rd party software packages and vendors.
- Understand the full context and apply the best practices throughout the implementation.
- Tracking the deliverables and ensuring delivery on time with acceptance criteria are met.
- Determine the required resources and budgeting for the entire assignment/project implementation.
- Monitor and manage the risk for resources management.
- Escalate to supervisor in case shortage or change impacts to the schedule or resource.
- Bachelor's degree required with a preference toward Information Technology management.
- Business administration management and/or analytical degree programs. (e.g. -business administration, computer science, industrial engineering, etc.).
- Proven experience in business analysis or technical solution delivery for 6 - 9 years.
- Experience in implementation for large-scale or enterprise projects is preferred.
- Excellent analytical and problem-solving skills.
- Good leadership and interpersonal skills.
- Effective communication skills with all levels of stakeholders, service-minded, enthusiastic, good attitude, able to work under pressure, and highly self-motivated..
- Senior Business System Analys.
- Translate business requirements into business solution options.
- Develop functional specifications that meet the client s needs.
- Take ownership of investigation and resolving user problems in a timely and effective manner.
- Planning and execution of projects within own work area.
- Provide problem resolution and user support.
- Bridge the gap between business users, solution design, and the development team by conducting business analysis and research.
- Provide complex support to ensure the availability of systems for business activities.
- Participate with clients/users to understand business requirements and translate them into functional requirements, and contribute to the management of client expectations.
- Initiate or lead the review and redesign of processes and procedures, on an ongoing basis, to deliver improved team productivity or efficiency.
- Work with clients/users to investigate complex operational requirements and problems, seeking effective business solutions through improvements in processes and procedures.
- Develop and maintain a consistently high standard of documentation to ensure information retention and re-use.
- Provide training advise in relation to release and assist in the specification of training curriculum/activities to address business requirements.
- Assess existing processes and identify re-design or enhancement opportunities to deliver improved productivity or efficiency to the business.
- Prepare reports including pros/cons analysis and recommendations, to provide information on optimal technical solutions for business cases.
- Work on projects and enhancements to provide business analysis advice, ensuring business requirements are translated into effective solutions.
- Provide input to establishing, managing, and reporting project management awareness of activities, issues, and outcomes.
- Provide support, including complex problem diagnosis, escalating to other areas as appropriate, and following through to ensure the resolution of problems for users.
- Leads requirement gathering defines project scope, designs systems, manages stakeholder relationships, and ensures alignment with business goals.
- Resolve complex support problems, including documentation, progress checking, and escalation, taking ownership to ensure resolution.
- Typically requires a tertiary qualification in an IT discipline or related field.
- 3 years as a Business System Analyst or IT Job-related.
- Relevant experience in financial or cryptocurrency services is preferred.
- Able to multi-task and prioritize workload supporting multiple projects.
- Effectively work with senior leadership.
- Willingness to challenge the status quo.
- Excellent oral and written communication.
- Effective interpersonal skills.
- Remark: Given the nature of the mentioned position, where employees are involved with customer data and asset values, and/or the company, to comply with legal and regulatory standards established by the Securities and Exchange Commission, as well as to align with laws and overseeing agencies, the company requires a criminal background check as part of the post-interview process before joining the company. Your criminal history information will be retained for a period of 6 months from the start date.
- Important: Candidate Privacy Policy
- https://careers.bitkub.com/privacy.
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āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2025
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