Senior Executive – Data Analytics (SCOM)

Shopee; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading e-commerce platform in Kuala Lumpur is seeking a Data Analyst to enhance warehouse operations through data insights. The ideal candidate should hold a bachelor's degree in a quantitative field and possess strong skills in SQL and Excel. Responsibilities include analyzing operational data, automating reporting processes, and collaborating with various teams to drive efficiency. Candidates must demonstrate at least 3 years of relevant experience in logistics or warehouse environments.

Qualifications

• Proven experience in automating data workflows, reports, or dashboards.
• Minimum 3 years of relevant working experience in data analytics.
• Strong analytical skills with the ability to understand complex processes.

Responsibilities

• Establish robust processes to analyze warehouse operational data.
• Define key metrics and build monitoring frameworks.
• Collaborate with stakeholders for data accuracy and project delivery.

Skills

SQL

Excel

Data analysis

Problem-solving

Communication

Education

Bachelor’s degree in Data Analytics, Statistics, Computer Science, Engineering, or other quantitative/analytical fields

Tools

Python

Job description

Responsibilities

• Establish robust processes to collect, clean, and analyze warehouse operational data (inbound, inventory, outbound) to generate actionable insights.
• Support warehouse operations, product, and logistics teams by translating data insights into operational strategies and execution plans.
• Define key metrics and build monitoring frameworks to track warehouse performance, efficiency, and SLA adherence.
• Proactively identify operational risks, bottlenecks, and inefficiencies by analyzing trends, patterns, and system behaviors, and provide forward-looking recommendations.
• Write, optimize, and maintain complex SQL queries to support recurring and ad-hoc data analysis needs across large datasets.
• Automate reporting pipelines and dashboards to improve data accessibility, reduce manual effort, and enable faster decision-making.
• Support warehouse expansion, automation, and capacity planning initiatives through data modeling, forecasting, and scenario analysis.
• Collaborate closely with cross-functional stakeholders to ensure data accuracy, alignment with business objectives, and successful project delivery.

Requirements

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Engineering, or other quantitative/analytical fields.
• Strong proficiency in SQL and Excel for data extraction, analysis, and reporting.
• Knowledge of Python for data analysis or automation is an added advantage.
• Minimum 3 years of relevant working experience in data analytics, preferably in operations, logistics, supply chain, or warehouse environments.
• Proven experience in automating data workflows, reports, or dashboards.
• Strong analytical and problem-solving skills with the ability to think systematically and understand complex, end-to-end operational processes.
• Ability to communicate and present complex insights and recommendations in a clear, structured, and actionable manner.
• Comfortable managing multiple concurrent requests and working independently in a fast-paced environment.