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อัปโหลดเรซูเม่ของคุณ
AI ของเราจะอ่านให้ แล้วหางานที่ใช่สำหรับคุณ
อัปโหลดเรซูเม่ประสบการณ์:
1 ปีขึ้นไป
ทักษะ:
Electronics, Data Analysis, Power BI, Tableau, QlikView
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Develop and provide analytical support for BI solutions released to the business.
- Proactively collaborate with stakeholders in all levels of the company.
- Gather requirements from business stakeholders.
- Execute testing needed to assure the desired functionality and data integrity of solutions meet the business requirements and deadlines.
- Proactively identify data quality issues and recommend data integrity checks to alert users when such issues occur.
- Proactively assist in communicating to users with respect to software upgrades and new features released.
- Responsible for test new technologies, software upgrades and new features released, consults with IT relative partners and/or users on appropriate of new technologies.
- Hot line and user help desks, and provide the appropriate training on user.
- Coordinates all systems maintenance projects.
- Responsible for all functions that is assigned by supervisor and CIO.
- Who are we looking for?.
- Bachelor degree in Computer, Electronics, or IT related field.
- Minimum 1 years of experience in an IT Business Analysis role or any programming.
- Ability to understand complex business system processes and clearly articulate business requirements.
- Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source system data and data samples).
- Proficient in one of BI tool such as SAPBI, Microsoft PowerBI, Tableau, Qlikview, etc.
- Proficient in database, data structure knowledge.
- Professional experience in successfully supporting users reporting and data needs.
- Some experience with SAP-ERP/HANA/BW/MSSQL is a plus.
- Good interpersonal skill with high innovative and creative idea, self management, strong time management and problem solving skills.
- Enthusiastic and active person with ability to work under pressure.
- Fair-to-Good English communication skills.
- The desire to be a strong team player.
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Data Warehousing, Power BI, QlikView, Tableau, Oracle
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Design, develop, and implement comprehensive BI solutions, including dashboards, reports, and visualizations, using tools like Power BI, Tableau, or QlikView.
- Develop and maintain complex SQL queries, stored procedures, and ETL processes to ensure data integrity and availability.
- Collaborate with business stakeholders to understand their needs and translate them into technical requirements.
- Design and develop data models and schemas that support reporting and analytics.
- Maintain and optimize the data warehouse environment to ensure performance, scalability, and reliability.
- Implement best practices for data management, data governance, and data security.
- Monitor and enhance the performance of BI solutions by optimizing queries, data models, and ETL processes.
- Troubleshoot and resolve issues related to BI tools, data quality, and data integration.
- Lead and mentor junior BI developers, providing guidance and support on best practices, technical skills, and project execution.
- Work closely with data engineers, analysts, and other IT professionals to ensure data consistency and integrity across the organization.
- Participate in cross-functional teams to deliver BI projects on time and within scope.
- Stay updated with the latest BI trends, tools, and technologies, and evaluate their potential impact on the organization.
- Propose and implement new BI solutions or enhancements to existing ones to improve business processes and decision-making.
- Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
- 5+ years of experience in business intelligence development, data warehousing, and ETL processes.
- Proficiency in BI tools such as Power BI, Tableau, QlikView, or similar.
- Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL).
- Experience with data modeling tools (e.g., ER/Studio, ERwin).
- Solid understanding of data warehousing concepts, data governance, and data quality best practices.
- Experience with cloud-based BI and data solutions (e.g., Azure, AWS, Google Cloud) is a plus.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
- Ability to manage multiple tasks and projects simultaneously while meeting deadlines.
- Growth with Tech leader company. Apply here!.
ทักษะ:
Data Warehousing, Problem Solving, SQL, ETL, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
- Retrieve, prepare, and process a rich data variety of data sources.
- Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
- Gain fluency in our business domain expertise.
- Explore data sources to better understand the availability and quality/integrity of data.
- Experience with relational database systems with expertise in SQL.
- Experience in data management, data warehousing or unstructured data environments.
- Experience with data integration or ETL management tools such as Talend, Informatica, Pentaho DI or similar.
- Experience programming in Python, Java or other equivalent is a plus.
- Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, Google DataStudio, Google Analytics or similar.
- Experience with Agile methodology and Extreme Programming is a plus.
- Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
- Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
- Good communication in English.
ทักษะ:
Software Development, Data Analysis, Negotiation
ประเภทงาน:
งานประจำ
เงินเดือน:
฿40,000 - ฿60,000, สามารถต่อรองได้
- Conduct stakeholder interviews; gather, document, and analyze business and user requirements from executives, system users, and key stakeholders.
- Perform user acceptance testing (UAT) from an end-user perspective to identify strengths, weaknesses, usability gaps, and improvement areas before production deployment.
- Serve as the liaison between business users and external development teams by communicating system requirements, business rules, and solution directions clearly.
- Participate in project planning, timeline definition, milestone tracking, and end-to-end monitoring of system or product development activities.
- Monitor technology, market, and competitor trends to identify opportunities for process improvement, digital transformation, and product enhancement.
- Monitor platform usage after launch, assess user experience, collect feedback, and recommend continuous improvement actions.
- Deliver user training and prepare user guides, process documentation, and system manuals for relevant teams to ensure effective adoption and utilization.
- Monitor, coordinate, and provide guidance to the IT team to ensure deliverables are completed in accordance with the agreed timeline.
- Support the IT team in resolving operational issues and improving work efficiency.
- Act as the responsible owner or provide hands-on support when the team has conflicting assignments or requires additional manpower.
- Perform other related duties as assigned by management.
- Job Specifications.
- Bachelor's degree in Computer Science, Computer Engineering, or other related fields.
- Possess foundational IT knowledge, with an understanding of coding concepts and the software development life cycle (SDLC).
- Strong proficiency in Microsoft Excel for data management, analysis, and reporting.
- Ability to leverage generative AI and productivity tools to improve work efficiency and output quality.
- Experience with business intelligence (BI) tools such as Power BI, Tableau, or QlikView is an advantage.
- Knowledge of database query languages or data analysis tools, such as SQL, Python, or R, will be considered an advantage.
- Strong analytical skills, with the ability to interpret large volumes of data and translate insights into actionable business recommendations.
- Strong problem-solving skills, with the ability to identify root causes, propose practical solutions, and adapt to changing business requirements.
- Strong communication and negotiation skills, with the ability to translate technical information into clear, business-friendly language for non-technical stakeholders.
- Sound business acumen, with an understanding of business context, relevant industry dynamics, and product marketing channels.
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Procurement
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Collect economic data from applicable data sources to prepare and maintain pricing trend data on key commodities for reports to the internal team as well as business leadership. Build an accurate forecast for category price movements.
- Coordinate price changes in systems through the use of published indices and manage communications with impacted sites and suppliers.
- Maintain purchase contracts and vendor master data in the GEP system.
- Support Procurement leadership and co-workers in all data requests. Use analytic techniques to support procurement projects.
- Establish and maintain communication channels with leadership, key team members, and internal business units for data gathering, validation, analysis, and reporting. Use benchmarking to identify best practices and areas for next-stage improvement.
- Gather data across several source systems to populate and report progress via supplier scorecards and internal dashboards.
- Conduct market analysis through the generation of supplier lists, creation of Requests for Quotation, and identification of key evaluation data elements. Participate in the evaluation plan to determine the feasibility of the bid/tender using qualitative techniques. Analyst and report bid response data in suitable formats for ease of comparison and selection.
- Provide negotiation support to category managers. Support analysis and evaluation of complex bid award scenarios. Determine savings calculations and forecasts. Conduct scenario analyses and sensitivity analyses to obtain input or buy-in from internal stakeholders and leadership.
- Create tender packages as well as comprehensive supplier evaluation models, such as total cost of ownership analysis, scenario modeling, financial modeling, and sensitivity analysis.
- Prepare market research reports for specific industries and categories.
- Prepare management reports (Weekly/Monthly/Quarterly) as needed.
- Project Management.
- Track and report savings, support procure-to-pay process improvement, and monitor cost savings as well as working capital improvements using the tracking tools (GSTT) in place.
- Identify gaps in policies, processes, and procedures that lead to incorrect data, propose solutions, and lead cross-functional teams to execute them.
- Work closely with Operations & technical team to implement TCO Projects and achieve savings on time.
- Support the Operations team to improve the process, usage, and performance of the key raw material usage in printing & lamination processes.
- Work closely with suppliers to support operational efficiencies and maintain performance parameters & quality.
- Negotiation.
- Support the Category team in enhancing the relationship with suppliers in an innovative way to maximize value for Amcor in accordance with the global category strategy and regional implementation.
- Support negotiation process, content, and results. Provided relevant data for effective negotiations & reaching the desired outcome of a negotiation.
- Relationship Management.
- Support cross-functional teams to run TCO projects and implement improved operational and commercial supply outcomes for the business and customers.
- Collaborate closely with relevant departments to ensure understanding and compliance with key procurement strategies.
- Financial Planning.
- Support developing budgets and targets based on aggressive, well-founded, realistic, and forward-oriented goals.
- Ensure that financial resource allocation is cost-effective and aligned with strategic and operational plans.
- Support building an accurate forecast for Category price movements.
- Track and report savings, support procure-to-pay process improvement within the Category area, monitor TCO improvement, as well as working capital improvement using the tracking tools in place.
- Provide periodic and ad hoc reports and forecasts on performance against plan and potential in following up on KPIs and reporting on trends.
- Bachelor's level or Masters degree in Engineering, Finance, Supply Chain, or equivalent.
- Around 3 to 5 years of relevant work experience in a similar position.
- SAP and/or other ERP systems experience is an advantage.
- Proficient user of Microsoft Excel required (experience with pivot tables, v-lookups, programming, macros, sorts, and filters).
- Experience with Power BI, QlikView, Tableau, Alteryx, or similar tools to analyze large data sets is an advantage.
- Relevant experience in a company with a mature procurement function/manufacturing organization preferred.
- Experience in the selection, preparation and execution of commercial agreements.
- Financial acumen and familiarity with business accounting terms as an advantage.
ประสบการณ์:
2 ปีขึ้นไป
ทักษะ:
Google Cloud Platform, Google Analytics, TensorFlow, Big Data, English
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Develop big data solutions for batch processing and near real-time streaming.
- Retrieve, prepare, and process a rich data variety of data sources.
- Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
- Keep abreast of new developments in the big data ecosystem and learn new technologies.
- Triage code problems and data-related issues.
- 3+ years of experience with relational database systems, with expertise in SQL.
- 3+ years of programming experience in Java, Python, Scala or similar.
- 3+ years of experience in coding in data management, data warehousing or unstructured data environments.
- Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
- Experience building complex pipelines using automated workflow is a plus, e.g. Luigi, Airflow, Oozie or similar.
- Experience with parallel data processing is a plus, e.g. MapReduce, Hadoop, Spark or similar.
- Experience with streaming technologies is a plus, e.g. Kafka, AWS Kinesis or similar.
- Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, PowerBI, Google Analytics or similar.
- Experience with Machine Learning is a plus, e.g. TensorFlow, NumPy, Scikit-Learn, Mahout or similar.
- Good communication in English.
ทักษะ:
Automation
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Collecting and aggregating data from various sources within the 4G and 5G networks, network performance data, user behavior data, traffic patterns, etc.
- Analyzing network data using statistical and machine learning techniques to identify trends, patterns and issues.
- Creating predictive models to forecast network performance & capacity planning.
- Utilizing data insights to optimize network performance.
- Understanding user behavior and translating technical data into actionable insights.
- Monitoring KPIs.
- Generating regular reports and dashboards to communicate findings and recommendations to relevant teams.
- Collaborating with cross-functional teams.
- Addressing network-related issues by analyzing data and identifying root causes.
- Experimenting with new data analysis techniques, tools and methodologies to drive innovation and improve analytical capabilities.
- Skills.
- Technical skills in data analytics, statistical analysis, machine learning, programming (Python, R, SQL).
- Visualization tools: PowerBi, Tableau.
- Strong problem-solving skills, critical thinking, and the ability to work with large datasets.
- Proficiency in Python, with knowledge of at least one Python web framework.
- Adept at the use of {{ BI reporting tools such as Tableau, Board, Power BI, Domo, Looker, MicroStrategy, Cognos Analytics, Oracle Analytics Cloud, QlikView, Dundas BI, Sisense, Spotfire, Pentaho, SAP.
- Power Query: Ability to use Power Query for data extraction and transformation.
- SQL: Familiarity with SQL for querying databases.
- Problem Solving: Critical thinking to solve complex data-related challenges.
- Communication: Effective communication skills to understand business requirements and present findings.
- Continuous Learning: Staying updated with Power BI's evolving features and best practices.
ประสบการณ์:
5 ปีขึ้นไป
ทักษะ:
Automation, Power BI, Tableau, Python, SQL
ประเภทงาน:
งานประจำ
เงินเดือน:
สามารถต่อรองได้
- Working closely with key stakeholders to understand the business problem and recommend the proper metric to deliver actionable dashboards.
- Design and develop data models to support self-service analytics and data visualization.
- Develop and maintain reports and dashboards to present the data in the most precise and easy to interpret.
- Support for ad hoc reports based on stakeholder requests to address specific business needs.
- Working closely with data analyst and data scientist to select targeted audience and create deep post campaign analysis to drive marketing campaign with ROI.
- Manage system upgrades, data migrations, and integrations with other platforms.
- Supervise and mentor the MIS team; provide training, direction, and performance reviews.
- Monitor KPIs for MIS performance and data accuracy.
- Bachelors master's degree in MIS, IT, Data Management, Computer Science or related field.
- 5 7 years+ in end-to-end dashboard automation project.
- Experience in the retail/e-commerce industry is a plus.
- Proven experience building actionable dashboards at scale.
- Knowledge of data modeling concepts and ETL processes.
- Knowledge of data warehousing and data integration techniques is a plus.
- Proficient SQL and Python (or Pyspark is a plus).
- Business Intelligence tool: Power BI, Tableau, QlikView.

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