Tuyển dụng [Bình Dương] Data Analysis & Visualization Specialist

PURPOSE OF THE JOB

• Lead the development and implementation of data analysis and visualization systems across manufacturing and back office.
• Transform fragmented data into integrated, reliable, and actionable insights to support decision-making.
• Act as a key enabler for SAP data utilization and digital transformation initiatives.
• Standardize reporting framework across departments to eliminate data silos and duplication.
• Support IMS and Operational Excellence by enabling a data-driven culture
• RESPONSIBILITIES
• The holder of the position "Data Analysis & Visualization Specialist" is responsible for ensuring the availability, reliability, and usability of data across the organization to support operational and strategic decision-making.
• The position holder acts as a key driver for data standardization and digitalization, ensuring cross-functional alignment in reporting and performance tracking.
• He/she is responsible for promoting data-driven thinking, supporting departments in using data effectively, and ensuring consistency between systems (Excel, legacy tools, SAP).
• In terms of expertise, this role requires strong knowledge in data modeling, BI tools, and ERP data structures, especially SAP, to ensure effective integration and utilization of data within the organization.
• Own and design the end-to-end data architecture (from source systems to dashboards), ensuring a single source of truth across the organization.
• Ensure data consistency and alignment between different systems (SAP, Excel, Power BI) to eliminate fragmented reporting and duplicate data structures
• 1. Duties
• 2.1. Data management & integration
• Data consolidation & integration: Collect, clean, and integrate data from multiple sources (Excel, legacy systems, SAP) into centralized datasets.
• Data modeling & structuring: Develop and maintain robust data models to support cross-functional reporting and analysis.
• Data quality management: Ensure accuracy, consistency, and integrity of data across departments.
• Write and optimize complex SQL queries, especially on SAP datasets, ensuring Performance and accuracy for large-scale data analysis.
• Ensure scalability and performance optimization of datasets used in reporting and dashboards.
• 2.2. Reporting & visualization
• Dashboard development: Develop and maintain Power BI dashboards providing clear and actionable insights.
• Reporting standardization: Define and implement standardized KPIs and reporting structures across departments.
• Automation: Replace manual reporting processes with automated data pipelines and dashboards.
• 2.3. SAP data utilization
• SAP data extraction & analysis: Work with SAP data structures to extract and transform data using SQL or equivalent tools.
• Business support: Support departments in leveraging SAP data for performance monitoring and decision-making.
• Integration: Ensure alignment between SAP data and reporting systems (Power BI, datasets).
• 2.4. Business support & analysis
• Cross-functional collaboration: Work with Production, QC, Warehouse, Maintenance to understand data needs.
• Root cause analysis: Support problem-solving using data-driven analysis.
• Performance monitoring: Build tools to track operational KPIs and improvement initiatives.
• Translate data analysis into clear business insights, narratives, and actionable recommendations to support management decision-making.
• Present insights in a structured and impactful way to both technical and non-technical stakeholders.
• Apply system thinking to connect data across the manufacturing value chain (Production, Quality, Warehouse, Maintenance), enabling end-to-end visibility and root cause identification.
• 2.5. Governance & standardization
• Data governance: Establish rules for data ownership, KPI definitions, and reporting consistency.
• Documentation: Maintain documentation of data models, dashboards, and reporting logic.
• 2.6. Capability building
• Training: Train employees on Power BI, dashboards, and data interpretation.
• Capability scaling: Develop and enable self-service BI capabilities, allowing departments to independently access and use data effectively.
• Culture development: Promote a data-driven mindset across the organization.
• 2.7. Continuous improvement
• Identify and implement improvements in data systems, reporting efficiency, and digital workflows.
• 2.8. Reporting
• Provide regular reports and insights to IMS Manager and Management Team to support decision-making.
• 2.9. Performance Metrics
• Track and improve the effectiveness of data systems and reporting through KPIs such as:
• Reduction of manual reporting effort
• Dashboard adoption rate across departments
• Data accuracy and consistency level
• Decision-making lead time improvement
• Number of standardized cross-functional dashboards
• 2.10. Other duties
• Other supporting duties as assigned by IMS Manager
• In case of absence, the position holder is responsible for defining an appropriate substitution arrangement.

Yêu cầu công việc

Required

• University degree in Data Science, IT, Engineering, Business Analytics, or related field.
• 3+ years in data analysis, BI, or related field
• Experience in manufacturing environment is preferred
• Experience with ERP systems (SAP is a strong advantage)

The position holder executes tasks in alignment with IMS Manager and has authority to manage data systems, reporting structures, and BI tools within assigned scope.

Skills

• Strong analytical thinking and system thinking
• Advanced Power BI and Power Query (end-to-end dashboard development)
• Strong SQL skills (especially querying SAP datasets)
• Data modeling and ETL pipeline design
• Understanding of ERP/SAP data structures
• Data storytelling and ability to translate data into business insights
• Problem-solving and root cause analysis
• Communication and stakeholder management
• Training, coaching, and capability scaling
• Continuous improvement mindset

Quyền lợi

• Khác: 13-month salary, Performance Bonus, Annual Leave, etc.