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āļāļąāļāļĐāļ°:
Assurance, Compliance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Conduct detailed analysis of Enterprise Service revenue to identify trends in products and services within AIS Group.
- Verify the accuracy and completeness of revenue collection, promotion packages, and new services to ensure compliance with business conditions.
- Develop appropriate QA measures to minimize revenue loss and operational errors.
- Detect and investigate irregularities affecting revenue, such as real loss, opportunity loss, and fraud.
- Collaborate with relevant departments to address and rectify issues impacting revenue.
- Ensure the accuracy of service charges, promotion packages, and offerings for enterprise customers.
- Review and validate the calculation of postpaid voice, IDD, and IR services in the RBM system to prevent revenue loss.
- Utilize data analytics skills to analyze data from various sources, reflecting trends, performance, and efficiency of products and services.
- Prepare analysis reports to support management in strategy formulation and risk assessment.
āļāļąāļāļĐāļ°:
Automation, Product Owner, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
- Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
- Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
- Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
- Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
- Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
- Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
- Write up and maintain technical specifications, design documents and process flow.
- Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
- Elaborate user stories for technical team and ensure that the team understands the deliverables.
- Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
- Provide direction to the Agile development team and stakeholders throughout the project.
- Assist in Data Architecture design, tool selection and data flows analysis.
- Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
- Handle ad-hoc analysis & report generation requests from the business.
- Respond to data related inquiries to support business and technical teams.
- 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
- Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
- Extensive experience developing complex solutions focused on data ecosystem solutions.
- Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
- In depth knowledge of data engineering and architecture disciplines.
- Extensive experience working with Big Data tools and building data solutions for advanced analytics.
- Solid understanding of P&C Insurance data.
- Technical expertise regarding data architecture, models and database design development.
- Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
- Working knowledge/familiarity with Git version control.
- Strong Knowledge of analyzing datasets using Excel.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
- Good communication and presentation skills.
- Solid problem solving, decision making and analytical skills.
- Knowledge & working experience with Duck creek is an added plus.
- Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
- Experience with JIRA.
- Experience being part of high-performance agile teams in a fast-paced environment.
- Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
- Proven ability to produce results in the analysis, design, testing and deployment of applications.
- Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
- Strong coaching / mentoring skills.
- Applies technical knowledge to determine solutions and solve complex problems.
- Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
- Excellent communication and negotiation skills.
- Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.
- The candidate will be responsible for design, and implement new solutions for complex data ingestions from multiple sources to enterprise data products with focus on automation, performance, resilience and scalability, etc.
- Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies.
- Work with stakeholders including Management, Domain leads, and Teams to assist with data-related technical issues and support their data infrastructure needs.
- Strong development & programming experience in Informatica (IICS), Python, ADF, Azure Synapse, snowflake, Cosmos and Databricks.
- Solid understanding of databases, real-time integration patterns and ETL/ELT best practices.
- Defining data retention policies, monitoring performance and advising any necessary infrastructure changes based on functional and non-functional requirements.
- Responsible for ensuring enterprise data policies, best practices, standards and processes are followed.
- Write up and maintain technical specifications, design documents and process flow.
- Mentor a team of onshore and offshore development resources to analyze, design, construct and test software development projects focused on analytics and data integration.
- Elaborate user stories for technical team and ensure that the team understands the deliverables.
- Effectively communicate, coordinate & collaborate with business, IT architecture and data teams across multi-functional areas to complete deliverables.
- Provide direction to the Agile development team and stakeholders throughout the project.
- Assist in Data Architecture design, tool selection and data flows analysis.
- Work with large amounts of data, interpret data, analyze results, perform gap analysis and provide ongoing reports.
- Handle ad-hoc analysis & report generation requests from the business.
- Respond to data related inquiries to support business and technical teams.
- 6+years of proven working experience in ETL methodologies, Data integration and data migration. Informatica IICS, Databricks/Spark & Python hands-on development skills a must.
- Clear hands-on experience with database systems - SQL server, Oracle, Azure Synapse, Snowflake and Cosmos, Cloud technologies (e.g., AWS, Azure, Google), and NoSQL databases (e.g., Cosmos, MongoDB, DynamoDB).
- Extensive experience developing complex solutions focused on data ecosystem solutions.
- Extensive knowledge of data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
- In depth knowledge of data engineering and architecture disciplines.
- Extensive experience working with Big Data tools and building data solutions for advanced analytics.
- Solid understanding of P&C Insurance data.
- Technical expertise regarding data architecture, models and database design development.
- Strong knowledge of and experience with Java, SQL, XML s, Python, ETL frameworks and Databricks.
- Working knowledge/familiarity with Git version control.
- Strong Knowledge of analyzing datasets using Excel.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Proficient in learning new technologies with the ability to quickly understand capabilities and work with others to guide these into development.
- Good communication and presentation skills.
- Solid problem solving, decision making and analytical skills.
- Knowledge & working experience with Duck creek is an added plus.
- Knowledge & working experience with Insurity Policy Decisions and/or IEV is an added plus.
- Experience with JIRA.
- Experience being part of high-performance agile teams in a fast-paced environment.
- Must understand the system scope and project objectives to achieve project needs through matrix management and collaboration with other enterprise teams.
- Proven ability to produce results in the analysis, design, testing and deployment of applications.
- Strong team emphasis and relationship building skills; partners well with business and other IT/Data areas.
- Strong coaching / mentoring skills.
- Applies technical knowledge to determine solutions and solve complex problems.
- Ability to be proactive, self-motivated, detail-oriented, creative, inquisitive and persistent.
- Excellent communication and negotiation skills.
- Ability to organize, plan and implement work assignments, juggle competing demands and work under pressure of frequent and tight deadlines.
āļāļąāļāļĐāļ°:
Sales, Marketing Strategy, Statistics
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze consumer behavior, market trends, and competitor data, and provide data-driven recommendations for business expansion or marketing strategy development.
- Collect sales, operational, and marketing data from internal and external sources to assess the impact of marketing campaigns and forecast business opportunities.
- Update and maintain accurate databases, and create analytical reports (Dashboards) to present data to management.
- Coordinate with marketing, sales, and other departments to gather information for analysis and address the needs of the organization.
- Bachelor's degree or higher in Data Science, Marketing, Statistics, or a related field.
- At least 2-3 years of experience in data analysis. Experience in retail business will be considered an advantage.
- Proficiency in data analysis tools such as Excel, SQL, Power BI, Tableau, or Python.
- Strong analytical skills and the ability to solve problems in a systematic manner.
- Good presentation and communication skills to convey complex information clearly.
- Attention to detail and the ability to work under pressure.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Scala, Java, Golang
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data systems.
- Build, administer and scale data processing pipelines.
- Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc.
- Improve scalability, stability, accuracy, speed and efficiency of our existing data systems.
- Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
- Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
- What You'll need to Succeed.
- Bachelor's degree in Computer Science /Information Systems/Engineering/related field.
- 5+ years of experience in software and data engineering.
- Good experience in Apache Spark.
- Expert level understanding of JVM and either Java or Scala.
- Experience debugging and reasoning about production issues is desirable.
- A good understanding of data architecture principles preferred.
- Any other experience with Big Data technologies / tools.
- SQL experience.
- Analytical problem-solving capabilities & experience.
- Systems administration skills in Linux.
- It's great if you have.
- Good understanding of Hadoop ecosystems.
- Experience working with Open-source products.
- Python/Shell scripting skills.
- Working in an agile environment using test driven methodologies.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
āļāļąāļāļĐāļ°:
Power BI, Excel, Microsoft Office
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāđāļāļĄāļđāļĨ āļāđāļēāļāđ āđāļāđāļ āļĢāļēāļĒāļ§āļąāļ, āļĢāļēāļĒāđāļāļ·āļāļ, āļĢāļēāļĒāļāļĩ āđāļāļĒāđāļāļĢāļĩāļĒāļāđāļāļĩāļĒāļāļāļąāļāļāđāļāļĄāļđāļĨāđāļāļāļāļĩāļāđāļāđāļēāļŦāļĄāļēāļĒ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļĄāļēāļāļāļēāļĢāđāļāļāļāļēāļāļ āđāļāļ·āđāļāļāļģāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļģāļāļāļāļĢāļ°āļĄāļēāļāļāļĢāļ°āļāļģāļāļĩāđāļāļŠāđāļ§āļāļāļāļ āļĒāļāļāļāļēāļĒ āđāļĨāļ°āļāđāļēāđāļāđāļāđāļēāļĒāļŠāđāļāđāļŠāļĢāļīāļĄāļāļēāļĢāļāļēāļĒ.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļŠāļĢāļļāļ Profit & Loss āļāļĢāļ°āļāļģāđāļāļ·āļāļāđāļāļĄāļļāļĄāļĄāļāļāļāļĢāļīāļŦāļēāļĢāļŊ āđāļāļ·āđāļāļāļģāđāļŠāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļģāļāļēāļāļāđāļāļĄāļđāļĨāļāļēāļĄāđāļāļ§āļāļēāļāļāđāļēāļāđ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļ āļāļēāļĢāļāļģāļāļ§āļ/āļāļēāļĢāļāļģāļĢāļēāļĒāļāļēāļāļāļāļāļŠāđāļ§āļāļāļēāļāļāļ·āđāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāđāļ āđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļĢāļāđāļēāļĒāđāļāļīāļāļāļđāļāđāļāđāļŦāđāļāļąāļāļāļāļąāļāļāļēāļ, āđāļāđāļēāļŦāļĄāļēāļĒāļāļēāļĢāļāđāļēāļĒāđāļāļīāļāļĢāļēāļāļ§āļąāļĨ āđāļāđāļāļāđāļ.
- āļāļāļāđāļāļ Dashboard āļŠāļģāļŦāļĢāļąāļāļāđāļāļĄāļđāļĨāļāđāļēāļāļāđāļēāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļŦāđāļāļđāđāđāļāđāļāļēāļāđāļāđāļēāđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāđāļāđāļāđāļēāļĒ āđāļāđāļ Power BI.
- āļāļāļāđāļāļ Template āđāļŦāđāļŠāđāļ§āļāļāļēāļāļāđāļēāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļĢāļāļāļĢāļąāļāļāļēāļĢāļāļģāļāļēāļāđāļāļāļēāļĢāļĢāļ§āļāļĢāļ§āļĄāļāđāļāļĄāļđāļĨ āđāļāļ·āđāļāļāđāļ§āļĒāđāļŦāđāļāļēāļĢāļāļģāļāļēāļ āđāļāđāļāļĨāļĨāļąāļāļāđāļāļĩāđāļĢāļ§āļāđāļĢāđāļ§āļāļķāđāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āđāļŦāđāļāļģāđāļāļ°āļāļģāđāļāļāļēāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļāđāļŦāļāđāļ§āļĒāļāļēāļ āļāđāļēāļ āđ āļāļĩāđāļĄāļĩāļāļēāļĢāđāļāđāļāļēāļāļāđāļāļĄāļđāļĨ.
- āļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāļĢāđāļāļĢāļĄ MS ExcelāļāļąāđāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāđāļāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļ·āđāļāđ āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ: Microsoft Office; Word, Power Point.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāļāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļēāļĢāļ§āļēāļāđāļāļ āđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāļĒāđāļēāļāđāļāđāļāļĢāļ°āļāļ āđāļĨāļ°āļĄāļĩāļĄāļēāļāļĢāļāļēāļāđāļāļāļēāļĢāļāļģāļāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļ āđāļāļāļēāļĢāđāļāļĢāļāļē āļāđāļāļĢāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāļŠāļīāđāļāđāļŦāļĄāđ āđ āđāļāđāļĢāļ§āļāđāļĢāđāļ§.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļģāđāļŠāļāļāļāļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđ Power BI (āļāđāļēāļĄāļĩ).
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ·āđāļāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļĩāļĒāļāđāļāļĢāđāļāļĢāļĄāļāđāļēāļ āđ (āļāđāļēāļĄāļĩ).
- āļāļīāļāļāđāļāļŠāļāļāļāļēāļĄ.
- āļāļĢāļīāļĐāļąāļ āđāļĄāđāļāļīāļĢāđāļāđāļāļĢāļ āđāļĄāļāđāļāļāđāļĄāđāļāļāđ āļāļģāļāļąāļ.
- āļāļēāļāļēāļĢāđāļĨāđāļēāđāļāđāļāļāđāļ§āļ 1 āļāļąāđāļ 26 āļāļāļāļ§āļīāļ āļēāļ§āļāļĩāļĢāļąāļŠāļīāļ āđāļāļ§āļāļāļāļĄāļāļĨ āđāļāļāļāļāļļāļāļąāļāļĢ āđāļāļ§āļāļāļāļĄāļāļĨ āđāļāļāļāļāļļāļāļąāļāļĢ āļāļąāļāļŦāļ§āļąāļāļāļĢāļļāļāđāļāļāļĄāļŦāļēāļāļāļĢ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Statistics, Data Analysis, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor s degree in Statistics, Economics, Mathematics, or related field.
- 1-3 years of experience in data analysis or related roles. Experience in banking or finance preferred.
- Proficiency in Excel, SQL, Python/R, data visualization tools like Tableau or Power BI. Strong statistical analysis skills.
- Strong understanding of data analysis, statistical methods, and business insights. Knowledge of user personas and journey mapping in data-centric roles.
- Contact: [email protected] (K.Thipwimon).
- 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 .
āļāļąāļāļĐāļ°:
Data Analysis, Analytical Thinking, High Responsibilities
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze data and provide business insight.
- Assess risk and design mitigation actions based on data insight.
- Design dashboards / predictive models for decision-making management.
- Lead and Supervise team by projects.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Analytical Thinking, High Responsibilities, Multitasking
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ15,000 , āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze requests and issues to develop business requirement documents for system and platform development.
- Collaborate with all stakeholders to design conceptual solutions and create technical specifications.
- Prepare user manuals, test scripts, and conduct usability testing.
- Coordinate training for program, application, and system users.
- Support and document incidents for new and existing trading systems and platforms, and track actions to ensure efficient operation.
- Assist users in planning, facilitating, and tracking project execution.
- Verify data accuracy in the system to coordinate with relevant internal and external parties for resolution.
- Bachelor's degree in Statistics, IT, Computer Science, or a related field.
- Minimum 3 years' work experience in Business Analyst / System Analyst with programming skills in developing web applications.
- Experience with ERP, CRM systems, or real estate and construction systems; experience in real estate is a plus.
- Proficient in Microsoft Office with advanced skills in Excel and VBA.
- Creative and innovative mindset.
- Excellent communication, analytical, presentation, and negotiation skills with clients/employees/system developers.
- Strong problem-solving skills.
- Good interpersonal skills and a strong team player.
- Ability to work under high pressure.
āļāļąāļāļĐāļ°:
Power point, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Leading the Analysts Team to provide support, including analytics, trends, insights and opportunities to improve cost and service performance.
- Lead the KPI Reporting Team to develop and implement KPI tracking tools, showing trends and insights, that will track performance in all key result areas on a shift, daily, weekly and monthly basis.
- Composite Distribution Center (CDC), Wangnoi.
- Major Accountabilities.
- To provide insight, modelling and analysis to Senior Leadership levels to support decision making.
- Prepare effective power point presentations to present data, trends and opportunities in a clear and logical manner to influence management teams.
- Active participation in identification and deployment of best practices including improvements to reporting processes, tools and systems.
- Utilize analytical methodologies to identify opportunities for cost and service improvements, engaging cross-functional teams.
- Provide well designed dashboard and scorecard visualizations to bring the data alive including the creation of Power BI solutions.
- Collaborate with stakeholders to develop robust improvement plans that deliver service and cost efficiency, incorporating risk analysis to identify appropriate contingencies.
- Lead project ensuring projects are delivered on time and within budget.
- Develop and implement KPI tracking tools, showing trends and insights, that will track performance in all key result areas on a shift, daily, weekly and monthly basis.
- Educated to degree level in Supply Chain or Finance or alternative relevant degree, with an understanding of Supply Chain Operations
- Experience of providing support including analytics, trends, insights and opportunities to supply chain teams to improve cost and service performance.
- Capabilities and Competencies.
- Data driven with excellent analytical and problem solution skills
- Excellent communication/interpersonal skills, with ability to clearly articulate ideas and proposals to all levels of the organization
- Ability to organize and manage multiple priorities in a high-pressure organization
- Ability to work with all levels of management with demonstrated ability to develop and motivate and influence others - both up and down the organization
- Self-starter with ability to work on own initiative and drive agenda
- Excellent attention to detail and right first time approach to work
- Advanced excel skills including macros and Power Point
- Team player / excellent interpersonal skills
- Able to work flexible hours with an open minded and positive attitude.
- Enjoy working as part of a committed, flexible team, and taking pride in everything you do.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Research, Data Analysis, Creative Presentation, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop in depth understanding of current and future banking business strategy.
- Analyze current and long-term issues such as transitioning to net-zero, AI and automation, and ESG, to identify key opportunities and risks to Krungthai, our corporate, SME and retail clients.
- Forecast macroeconomic and financial variables as well as industry growth trends.
- Write top quality articles and deliver presentations to disseminate research to top management, clients, and the public.
- Graduate degree in economics, business, engineering or related fields.
- We prefer a candidate with at least 2 years of work experience in economic policy research, consulting, or other relevant work experience, although we also welcome fresh graduate.
- Experienced in using econometrics and/or data analytics tools.
- Outstanding analytical and inter-personal skills.
- Strong writing and presentation skills (Thai and English).
- Able to take initiatives, lead projects and own assignments end-to-end.
- 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 .
āļāļąāļāļĐāļ°:
Social media, Industry trends, Marketing Strategy
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze the performance of marketing campaigns, including social media, email, website, and paid advertising, to identify trends, ROI, and areas for improvement.
- Utilize data to understand fan behaviors, preferences, and engagement patterns, and provide recommendations for optimizing fan outreach and marketing strategies.
- Monitor and report on streaming numbers, album sales, and other revenue-generating activities, offering insights into key factors driving success.
- Analyze industry trends, market conditions, and competitor performance to help guide overall marketing strategy.
- Collaborate with the marketing team to develop long-term strategies that support the label s goals, including growing fan engagement, increasing brand awareness, and optimizing artist promotion.
- Identify key audience segments and craft personalized marketing strategies tailored to different fan groups to increase engagement and sales.
- Use data insights to guide campaign optimizations, including A/B testing, creative adjustments, and audience targeting strategies.
- Define key performance indicators (KPIs) for marketing efforts, track progress, and provide actionable reports to stakeholders.
- Generate regular reports on campaign outcomes, marketing spend, fan growth, and engagement across all platforms (social, streaming, digital).
- Provide artist-specific insights and strategic recommendations to help optimize artist promotions and campaigns.
- Bachelor s degree in Marketing, Data Analytics, Business, Statistics, or related fields. Advanced degrees or certifications in data science, marketing analytics, or related fields are a plus.
- 3-5 years of experience in marketing analytics, digital marketing, or business intelligence, preferably in the music, entertainment, or media industry.
- Proven track record of using data to drive successful marketing strategies and optimizations.
- Passion for music and understanding of music trends and culture.
- Strong analytical skills with the ability to interpret data and generate insights.
- Experience in media planning or ecommerce is a plus.
- Creative thinking and problem-solving abilities. Excellent organizational and project management skills.
- Ability to work in a fast-paced environment and meet tight deadlines.
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).
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Plan and coordinate administrative procedures and systems and devise ways to streamline processes
- Ensuring the sortation is stocked with necessary supplies and that all equipment is working and properly maintained
- Preparing purchase requisitions approve in accordance with company policy and negotiated terms and conditions
- Liaise with Finance team to ensure accurate and timely payment of invoices, as necessary for the business with suppliers
- To execute day-to-day tasks as per general Sortation administrative functions
- Manage and maintain ongoing communication with suppliers, contractors, clients, and relative team
- Support all department in setting up office and hub on the other tasks as assigned.
- Bachelor s Degree in Business Administration or any related fields
- At least 2 years of working experience as an Office Administrator and Facilities Management / Maintenance Management
- Highly computer literate with capability in MS Office (Word, Excel, PowerPoint) and others related business and communication tools
- Strong decision-making and problem-solving skills
- Positive and forward thinking, CAN DO attitude and Work well when under pressure.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Own end-to-end seller program operations i.e. following up with relevant stakeholders, data cleaning and inputs, managing seller lists
- Seller target setting - Support and help facilitate target setting and approval processes for commercial team
- Program seller list - Manage program seller list, processing change requests from relevant stakeholders and updating all the required data tables and dashboards in an efficient and orderly manner
- Manage permissions - manage permissions list of commercial team/relevant stakeholders to dashboards and other internal tools
- Data management - support in various data tasks from maintaining input trackers from commercial team, collating and cleaning data inputs, and organizing data
- Program seller performance - Extract seller performance data based on a given set of instructions for quarterly business reviews, marking out poor performers that are below certain benchmark
- Other support tasks - Help ensure all SOPs are followed by relevant stakeholders, help troubleshoot any issues faced by local/regional teams.
- Professional working proficiency of Microsoft Excel - is able to analyze data and discern insights
- Strong business acumen and problem solving skills - is able to solve problems independently
- Detail oriented - is able to work meticulously without any errors.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
8 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SQL, Cloud Computing, Software Development, Data Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Gather and analyze software requirement to efficiently address business needs.
- Design system architecture and database.
- Develop functional specification and system design specification.
- Ensure quality of deliverable, develop system test cases and conduct User Acceptance Testing.
- Implement and provide training to end user.
- Provide production support and advise solutions to solve the production issues.
- Bachelor s degree or higher in Computer Science, Computer Engineer or any related fields.
- Minimum of 8 years experience with analysis, design and implement the enterprise software system.
- Strong knowledge of system analysis and design.
- Strong knowledge of RDBMS and SQL.
- Good knowledge of Cloud Computing.
- Good interpersonal and business-handling skills, with the ability to manage expectations and explain technical detail.
- Ability to work in a team environment delivering quality software that meets requirements working to a timeline.
- Motivated to be continually enhancing your skills to be aware of the latest software development.
āļāļąāļāļĐāļ°:
Project Management, ASP.NET, .NET, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- System Requirements Analysis: Understanding and analyzing business and user requirements to define software and hardware requirements.
- System Design: Planning and designing systems that align with the specified requirements and usage.
- System Development: Writing code and developing systems based on the established design.
- Testing and Refinement: Testing the system to ensure accuracy and refining it according to requirements.
- Project Management: Planning and managing system development projects to ensure they proceed as scheduled.
- Communication: Communicating with stakeholders such as development teams, system administrators, and end-users.
- Problem Solving: Investigating and resolving issues that arise within the system.
- Maintenance: Maintaining the system to ensure continuous operation and performing upgrades or updates as needed.
- Consultation: Providing technical advice and support to teams or management.
- Learning and Innovation: Keeping abreast of trends and importing new technologies and innovations into the assigned jobs.
- At least Bachelor s degree in Computer Science, Engineering, Information Technology, or related field.
- A minimum of 7 years of experience in a System Analyst or related position.
- Proficiency in analyzing system requirements and designing systems that align with those requirements.
- Experience in developing applications (C#, ASP.NET, Web API and Entity Framework).
- Experience with database design and development using SQL Server or other relational databases.
- Familiarity with cloud services such as Firebase, AWS and Microsoft Azure.
- Strong communication (writing & speaking well in both Thai and English) and teamwork abilities.
- Strong problem-solving skills and decision-making abilities in complex situations.
- Knowledge of Agile/Scrum development methodologies.
- Get things done within the agreed timeline.
āļāļąāļāļĐāļ°:
Database Administration
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļģāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāđāļēāļāļāļĢāļāļāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāđāļāļĄāļđāļĨ āļāđāļĒāļāļēāļĒ āđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļĩāđāļāļģāļŦāļāļāđāļāļĒāļāļāļāđāļāļĢ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāđāļāđāļēāļāļāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļđāđāļāļđāđāļĨāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāļāļģāļŦāļāļāļĄāļēāļāļĢāļāļēāļāļāđāļāļĄāļđāļĨ āđāļāļ§āļāļāļīāļāļąāļāļīāđāļāļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨ āđāļĨāļ°āđāļāļ§āļāļēāļāļāļēāļĢāđāļāđāļāļēāļāļāđāļāļĄāļđāļĨ.
- āļāļĢāļ§āļāļŠāļāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāđāļāļāļģāļŦāļāļāļāđāļēāļāļāļāļŦāļĄāļēāļĒāđāļĨāļ°āļĄāļēāļāļĢāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ (āđāļāđāļ GDPR, PDPA).
- āļāļēāļĢāļāļąāļāļāļēāļĢāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨ (Data Quality Management)āļāļģāļŦāļāļāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļąāļ§āļāļĩāđāļ§āļąāļāļāļļāļāļ āļēāļāļāđāļāļĄāļđāļĨ (āđāļāđāļ āļāļ§āļēāļĄāļāļđāļāļāđāļāļ āļāļ§āļēāļĄāļāļĢāļāļāđāļ§āļ āļāļ§āļēāļĄāļāļąāļāđāļ§āļĨāļē).
- āđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļąāļāļāļēāļĢāļāļļāļāļ āļēāļāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāđāļāđāđāļāļāļ§āļēāļĄāļāļīāļāļāļĨāļēāļāđāļĨāļ°āļāļąāļāļāļēāļāļ§āļēāļĄāļāđāļēāđāļāļ·āđāļāļāļ·āļāļāļāļāļāđāļāļĄāļđāļĨ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļļāļĢāļāļīāļāđāļāļ·āđāļāđāļāđāļāļąāļāļŦāļēāđāļĨāļ°āļāđāļāļāļāļąāļāļāļąāļāļŦāļēāļāļļāļāļ āļēāļāļāđāļāļĄāļđāļĨāđāļāļāļāļēāļāļ.
- āļāļēāļĢāļāļąāļāļāļēāļĢāđāļĄāļāļēāļāļēāļāđāļēāđāļĨāļ°āļāđāļāļĄāļđāļĨāļŦāļĨāļąāļ (Metadata and Master Data Management)āļāļąāļāļāļēāđāļĨāļ°āļāļđāđāļĨāļāļĨāļąāļāđāļĄāļāļēāļāļēāļāđāļēāđāļĨāļ°āļāļāļāļēāļāļļāļāļĢāļĄāļāđāļāļĄāļđāļĨāļāļāļāļāļāļāđāļāļĢ.
- āļāļđāđāļĨāļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļŦāļĨāļąāļ (Master Data) āđāļāļ·āđāļāđāļŦāđāļāđāļāļĄāļđāļĨāļĄāļĩāļāļ§āļēāļĄāļŠāļāļāļāļĨāđāļāļāđāļāļĢāļ°āļāļāđāļĨāļ°āļāļĢāļ°āļāļ§āļāļāļēāļĢ.
- āļāļēāļĢāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļđāđāļĄāļĩāļŠāđāļ§āļāđāļāđāļŠāđāļ§āļāđāļŠāļĩāļĒāđāļāđāļāļāļąāļ§āļāļĨāļēāļāļĢāļ°āļŦāļ§āđāļēāļāļŦāļāđāļ§āļĒāļāļēāļāļāļļāļĢāļāļīāļ āļāļĩāļĄāđāļāļāļĩ āđāļĨāļ°āļāļĩāļĄāļāļģāļāļąāļāļāļđāđāļĨ āđāļāļ·āđāļāļŠāļĢāđāļēāļāļ§āļąāļāļāļāļĢāļĢāļĄāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļāđāļāļāđāļāļĄāļđāļĨ.
- āđāļāđāļāļāļđāđāļāļģāđāļāļāļēāļĢāļāļąāļāļāļĢāļ°āļāļļāļĄāļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļĨāļļāđāļĄāļāļģāļāļēāļ.
- āļāļąāļāļāļāļĢāļĄāđāļĨāļ°āđāļŦāđāļāļēāļĢāļŠāļāļąāļāļŠāļāļļāļāđāļāđāļāļđāđāļĄāļĩāļŠāđāļ§āļāđāļāđāļŠāđāļ§āļāđāļŠāļĩāļĒ āđāļāļ·āđāļāļĒāļāļĢāļ°āļāļąāļāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļāļīāļāļąāļāļīāļāļēāļĄāđāļāļ§āļāļēāļāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨ.
- āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāđāļĨāļ°āļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļĄāļāļāļĢāļ°āđāļāļĩāļĒāļāļĢāļ°āļāļļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āđāļŠāļāļāđāļāļ§āļāļēāļāļāļēāļĢāđāļāđāđāļ.
- āļāļĢāļ§āļāļŠāļāļāđāļŦāđāļāļēāļĢāđāļāđāļāļēāļāļāđāļāļĄāļđāļĨāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļāļāđāļāļĢ āļāļāļŦāļĄāļēāļĒ āđāļĨāļ°āļĄāļēāļāļĢāļāļēāļāļāļēāļāļāļĢāļīāļĒāļāļĢāļĢāļĄ.
- āđāļāđāļāļāļđāđāļāļģāđāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāđāļĨāļ°āļāļĢāļ°āđāļĄāļīāļāļāļĨāļāđāļēāļāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāļāđāļāļĄāļđāļĨ..
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļģāļāļąāļāļāļđāđāļĨāđāļĨāļ°āļāļēāļĢāļāļąāļāļāļēāļĢāļāļļāļāļ āļēāļāļāļāļāļāđāļāļĄāļđāļĨ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļŠāļēāļāļēāļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļļāļĢāļāļīāļ āđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻ āļŦāļĢāļ·āļ āļŠāļēāļāļēāļāļ·āđāļ āđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļīāļāļāđāļāļŠāļāļāļāļēāļĄ.
- āļŠāļģāļāļąāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨ
- āļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļāļāđāļ§āļāđāļĢāļ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ)
- āļāļēāļāļēāļĢāđāļĨāđāļēāđāļāđāļāļāđāļ§āļ 1 333 āļāļāļ āļ§āļīāļ āļēāļ§āļāļĩāļĢāļąāļāļŠāļīāļ āļāļāļĄāļāļĨ āđāļāļāļāļāļļāļāļąāļāļĢ āļāļĢāļļāļāđāļāļāļĄāļŦāļēāļāļāļĢ 10900.
āļāļąāļāļĐāļ°:
Compliance, Finance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop, implement, and oversee the annual budget process for the organization.
- Collaborate with department leaders to create accurate monthly and quarterly forecasts.
- Analyze financial data and performance to identify trends, risks, and opportunities.
- Prepare detailed reports and presentations for senior management and stakeholders.
- Manage and mentor a team of budget analysts and financial planners.
- Ensure compliance with financial regulations and company policies.
- Drive process improvements in financial forecasting and budgeting.
- Serve as a key liaison between the finance department and other organizational units.
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°:
Industry trends, Statistics, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Develop and execute a forward-thinking analytics strategy tailored to the retail industry, focusing on leveraging data platforms to drive revenue growth, operational efficiency, and customer satisfaction.
- Lead, mentor, and inspire a team of data scientists and analysts, fostering a culture of innovation, collaboration, and data-driven decision-making.
- Stay ahead of industry trends, emerging technologies, and best practices in data science and retail analytics to maintain CP Axtra s competitive edge.
- Analytics Execution.
- Oversee the integration of diverse data sources, including POS systems, CRM platforms, online transactions, and third-party providers, into our cloud-based data platform.
- Design and develop advanced machine learning models, algorithms, and statistical analyses to uncover actionable insights related to customer behavior, product performance, and market trends.
- Apply expertise in recommendation and personalization algorithms to enhance customer experiences and engagement.
- Deliver data-driven solutions to optimize pricing strategies, inventory management, and promotional campaigns, leveraging state-of-the-art analytics tools and methodologies.
- Business Partnership.
- Partner closely with retail operations, marketing, and sales teams to understand business challenges and provide tailored analytical support that aligns with strategic objectives.
- Identify opportunities to enhance customer segmentation, personalized marketing efforts, and customer retention strategies through advanced data science techniques.
- Act as a key advisor to senior leadership, translating complex data insights into actionable recommendations and business value.
- Performance Monitoring and Optimization.
- Define and monitor key performance indicators (KPIs) related to retail operations, such as sales conversion rates, customer lifetime value, and basket analysis.
- Leverage analytics to continuously assess and optimize business processes, driving operational efficiency and profitability.
- Communication and Presentation.
- Present complex analytical findings, models, and recommendations to stakeholders in a clear, impactful, and visually compelling manner.
- Collaborate across departments to implement data-driven initiatives that align with CPaxtra s goals and drive tangible outcomes.
- Education and Experience.
- Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
- Extensive experience in analytics, data science, or business intelligence roles, with significant exposure to the retail industry.
- Technical Skills.
- Advanced proficiency in Python, R, SQL, and machine learning frameworks.
- Expertise in data visualization tools (e.g., Tableau, Power BI) and cloud-based data platforms (e.g., AWS, GCP, Azure).
- In-depth knowledge of big data technologies (e.g., Spark, Hadoop) and modern data engineering practices.
- Strong understanding of recommendation/personalization algorithms and data processing technologies.
- Leadership and Business Acumen.
- Proven ability to lead high-performing teams in a dynamic, fast-paced environment.
- Exceptional strategic thinking and problem-solving skills with a demonstrated focus on delivering business value.
- Deep understanding of retail operations, including inventory management, customer journey mapping, and merchandising strategies.
- 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. .
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
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