Supply Chain Data Scientist: Analytics & Automation

Copeland; Philippines; Hybrid; PHP 600,000 - 900,000; Full time

Job summary

Copeland is seeking a data analytics professional to optimize supply chain and business operations using Power BI and Sigma. The role focuses on developing scalable data architectures, mining large datasets, and applying data science methods to generate actionable insights for decision-making. A hybrid work model with mid-shift hours is offered.

Required: Engineering or Data Analytics degree with 5+ years in analytics, including at least 3 years in data science. On-site thrice weekly.

Qualifications

• Engineering or Data Analytics graduate.
• At least 5 years of work experience with minimum 3 years in Data Analytics/Data Science.
• Mid-shift schedule 2pm–11pm; hybrid work arrangement with on-site thrice a week.

Responsibilities

• Leverage Power BI and Sigma to optimize supply chain and business operations.
• Develop scalable data architectures and mine large datasets.
• Collaborate with cross-functional teams to drive data-driven initiatives and improve efficiency.

Skills

Data engineering

SQL

Data quality

ETL

Data visualization

Education

Engineering or Data Analytics graduate

Tools

Power BI

Sigma

Job description

Copeland is seeking a data analytics professional to optimize supply chain and business operations using Power BI and Sigma. The role focuses on developing scalable data architectures, mining large datasets, and applying data science methods to generate actionable insights for decision-making. A hybrid work model with mid-shift hours is offered.

Required: Engineering or Data Analytics degree with 5+ years in analytics, including at least 3 years in data science. On-site thrice weekly.