Logistic Data Analyst APAC

PerkinElmer; Gelang Patah; On-site; MYR 50,000 - 70,000; Full time

Job summary

A leading science and technology company is seeking a Logistic Data Analyst for their APAC team in Gelang Patah, Johor. The role involves collecting and analyzing data, developing dashboards, and supporting logistics strategies. The ideal candidate holds a Bachelor's degree in a relevant field and has proven experience in data analysis within logistics. Excellent SAP knowledge and strong analytical skills are essential for this position.

Qualifications

• Proven experience as a Data Analyst or similar role, preferably within Logistics area.
• Strong SAP knowledge on logistic/inventory workstream.
• Experience in understanding issues, analyzing data, deriving conclusions.

Responsibilities

• Collect, consolidate, and analyze data from various systems to identify trends.
• Design, develop, and enhance dashboards to visualize key performance indicators.
• Assist in developing strategies to improve performance and service levels.

Skills

Data analysis

Data visualization

Analytical skills

Communication

Education

Bachelor’s degree in data science, Statistics, Computer Science

Tools

Power BI

Alteryx

Python

R

SAP

Job description

Logistic Data Analyst APAC

Gelang Patah, Johor, Malaysia

Responsibilities

Location: Gelang Patah, Johor, Malaysia

Job ID: REQ-056162

Data Collection and Analysis:

• Collect, consolidate, and analyze data from various systems (SAP, TMS, WMS, Freight Audit platforms, etc.) to identify trends, patterns, and improvement opportunities.
• Generate daily, weekly, and monthly reports to support logistics and supply chain performance tracking.
• Collaborate with cross‑functional teams to understand business requirements and translate them into actionable insights.

Dashboard Development:

• Design, develop, and enhance dashboards to visualize key performance indicators (KPIs) and track progress against strategic and operational goals.
• Provide regular analytical updates and reports to the APAC Senior Logistics Manager and other key stakeholders.
• Data Quality Assurance:
  • Ensure data accuracy, integrity, and reliability by implementing robust quality assurance measures.
  • Identify, investigate, and resolve data discrepancies or inconsistencies.

Strategic Support:

• Assist in developing and executing strategies to improve performance, cost efficiency, and service levels within the APAC logistics organization.
• Conduct ad‑hoc analyses to support data‑driven decision‑making across logistics operations.
• Support regional and global logistics projects to drive continuous improvement, best practice sharing, and process standardization.

Communication and Collaboration:

• Effectively communicate data‑driven insights and recommendations to both internal and external stakeholders.
• Collaborate closely with logistics, finance, procurement, and IT teams to align analytics efforts with broader organizational objectives.

Basic Qualifications

• Bachelor’s degree in data science, Statistics, Computer Science, or related field.
• Proven experience as a Data Analyst or similar role, preferably within Logistics area
• Proficiency in data visualization tools (Power BI preferred) and data analysis and manipulation tools (Alteryx (preferred), Python, R).
• Strong SAP knowledge on logistic/inventory workstream, including WMS/ TMS/ Freight Audit platforms
• Strong analytical and problem‑solving skills
• Excellent communication and presentation abilities

Preferred Characteristics

• Experience in understanding issues, analyzing data, deriving conclusions, developing practical solutions and supporting their implementation
• Experience in accessing, querying, and manipulating data within ERP systems and enterprise applications, e.g., SAP, WMS
• Strong work ethic and motivation, extremely high ownership, low ego (getting things right vs. being right), no‑nonsense attitude and “work hard, play hard” mentality
• Ability to balance multiple competing priorities and projects with different stakeholders; Excellent prioritization skills and “nose for value” that focuses efforts on the highest ROI work

PerkinElmer is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics protected by applicable law. PerkinElmer is committed to a culturally diverse workforce.

PerkinElmer is proud to be an equal opportunity workplace and is an affirmative action employer. PerkinElmer is committed to equal employment opportunity without regard to unlawful considerations of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, gender expression, status as a protected veteran, genetic information, or any other personal attribute or characteristics protected by applicable local, state or federal laws.

To learn more about equal employment opportunity protections, please view the available EEO is the Law, EEO is the Law Supplement, and Pay Transparency Non‑Discrimination Provision documents.