Analytics Developer – Global Supply Chain Dashboards

Mattel Asia Pacific; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

Mattel Asia Pacific is seeking a data analytics professional to enable data-driven decision making across our global supply chain. You will transform complex data into meaningful insights, partnering with cross-functional stakeholders to uncover trends and improve visibility across the supply chain ecosystem.

Reporting to the Associate Analytics Development Manager, you will develop scalable data pipelines and interactive dashboards, while ensuring data governance and quality.

Qualifications

• Bachelor's degree with at least 3 years of experience in data analytics or related fields.
• Strong proficiency in SQL, including querying and manipulating data from structured databases.
• Hands-on experience with Tableau and dashboard development.
• A data-driven mindset with a passion for uncovering insights from data.

Responsibilities

• Data Analysis & Engineering: analyze large datasets to identify trends and insights.
• ETL: extract, transform, and load data from multiple global sources using SQL.
• Dashboard & Reporting: design and build interactive dashboards using Tableau or similar tools.
• Data Governance & Quality: ensure data accuracy and integrity across outputs.
• Continuous Improvement: identify opportunities to optimize data processes and improve efficiency.
• Support data-driven initiatives to enhance supply chain performance.

Skills

SQL

Tableau

Data analytics

Stakeholder comms

Education

Bachelor’s degree in data analytics or related field

Tools

JIRA

Confluence

Python

Job description

Mattel Asia Pacific is seeking a data analytics professional to enable data-driven decision making across our global supply chain. You will transform complex data into meaningful insights, partnering with cross-functional stakeholders to uncover trends and improve visibility across the supply chain ecosystem.

Reporting to the Associate Analytics Development Manager, you will develop scalable data pipelines and interactive dashboards, while ensuring data governance and quality.