Digital Automation Associate

Operational Data Analysis

• Collect, process, and analyze warehouse operational data (inbound, outbound, picking, packing, inventory, returns, etc.) to evaluate performance and optimize OPEX costs.
• Develop and maintain reports and dashboards to monitor key operational KPIs, including productivity, SLA, lead time, error rate, utilization, cost per order, cost per item, and others.
• Participate in root cause analysis of operational issues (SLA delays, increasing costs, higher error rates, process bottlenecks, etc.) and propose improvement solutions.

Project & Process Management Support

• Assist in planning and managing warehouse optimization projects (warehouse layout improvements, material flow optimization, workforce/shift scheduling optimization, reduction of packaging and internal transportation costs).
• Collaborate with cross-functional teams (Warehouse Operations, Planning, Transportation, Quality, Product/Technology) to implement initiatives, monitor progress, and measure effectiveness.
• Participate in designing, standardizing, and updating SOPs related to warehouse operations and cost control.
• Conduct ad hoc analyses and reports as requested by management.

Data Analysis

• Strong data processing and analytical skills.
• Proficient in Excel/Google Sheets, including Pivot Tables, Lookup functions, advanced formulas, and basic charting.
• Knowledge of Python programming for large-scale data processing, task automation, and pattern/trend analysis.

Project Management

• Basic project management skills, including planning, timeline tracking, status reporting, and meeting documentation preparation.
• Advantageous: Familiarity with continuous improvement methodologies such as Lean, Kaizen, 5S, and Six Sigma (basic level).

Teamwork

• Strong teamwork and collaboration skills, with the ability to work effectively across multiple departments, including both office-based and warehouse operations teams.

Competencies & Personal Attributes

• Strong logical thinking and analytical mindset, with a passion for working with data and real-world operations.
• Detail-oriented, meticulous, and accountable, with a strong sense of ownership and responsibility for data accuracy and reporting quality.
• Good communication skills, capable of collaborating effectively with both office staff and warehouse operations teams.
• Eager to learn, adaptable, and able to thrive in a fast-paced, high-volume e-commerce environment.