Operational Excellence Data Analyst

PT. Softex Indonesia; Karawang Barat; On-site; IDR 180,000,000 - 360,000,000; Full time

Job summary

PT. Softex Indonesia is seeking an Operational Excellence Data Analyst to support data visualization across the supply chain. You will build dashboards, analyze processes, and drive continuous improvement with Power BI and SQL.

The role requires a bachelor’s degree in statistics or data science, 3+ years in data analysis, and strong communication skills to collaborate with production, quality, planning, and engineering teams.

Qualifications

• Bachelor’s degree in statistics or data science or related field.
• Minimum 3 years in data analysis and visualization.
• Experience with data sources and SOP development is preferred.

Responsibilities

• Analyze current supply chain processes.
• Create dashboards and reports to depict supply chain performance.
• Identify inefficiencies and propose improvements.
• Support data analysis for OPEX and digitalization initiatives.
• Coordinate cross-functional alignment across departments.

Skills

Data analysis

Visualization

Communication skills

Leadership

Process mapping

Education

Bachelor’s Degree in Statistics

Data Science

Tools

Power BI

SQL

MS Excel

Power App

Job description

PURPOSE OF THE POSITION:

Operational Excellence Data Analyst supports the Value Stream & Digitalization of Supply Chain Team, the position expected to support data visualization infrastructure across the entire supply chain process by developing and providing data analysis.

KEY ACCOUNTABILITIES:

Performance Management

• Analyse current supply chain processes
• Create dashboard and report that depict Supply Chain performance (Power BI, Tableu etc)
• Identify process inefficiencies across the supply chain.
• Analyse system deficiencies and recommend changes for improved performance.
• Develop visual tools that support existing and/or new processes.
• Collecting and sharing best practices across KC global business unit/ country.
• Supporting data analysis for OPEX Cycle
• Visual management and standardizing Leader standard work (LSW)
• Introduce and utilize statistical tools to support daily process.
• Optimize and automate daily process across Supply Chain.
• Manage daily operational needs for Supply Chain Operational review
• Adoption of new technology for digitalization program to support overall performance effectiveness.
• Coordinate cross-functional alignment (production, quality, planning, engineering, R&E, procurement etc.)
• Enabling data resources for Continuous Improvement activity supporting Cost saving program
• Integrate supply chain report for daily operational.

People Management

• Develop playbook and assist with training where required for data visualization and analysis.
• Develop SOPs and work instructions for new and/or improved processes.
• Aligning people development program with Supply Chain Academy
• Motivate and empower team through positive attitude and stimulate transformation.
• Build a community of data visualization and sharing knowledge

Environmental Health and Safety (EHS)

• Take responsibility for providing and managing work environment safe and without risk to health by ensuring EHS policy, procedure, induction, training and work instruction are followed.

KEY QUALIFICATIONS:

• Bachelor’s Degree in Statistics or Data Science or any related field
• Minimum of 3 years of experience in data analysis and visualization
• Advanced knowledge of data analytics, including the ability to analyse and synthesize data across multiple data sources.
• Demonstrated experience in process mapping, and standard operating procedure (SOP) development.
• Understanding of end-to-end supply chain management processes and functions
• Excellent communication and facilitation skills, one-on-one and in groups
• Must be highly organized self-starter and proficient in use of PC/MS office suite (specifically in MS Excel and/or SQL) or data tabulation software (e.g. Power BI, Power App)
• Ability to link and articulate process change to multiple levels within the organization as well as customer group.
• Ability to understand integration of complex business applications with demonstrable project/customer focused accomplishments.
• Demonstrated leadership, versatility, and integrity.