Senior Associate – Warehouse Data Analytics, Scommerce (Fulfillment Centre, Bukit Raja, Klang)

Shopee; Kampung Malaysia Tambahan; On-site; MYR 90,000 - 150,000; Full time

Job summary

Shopee is seeking a Warehouse Data Analyst to turn complex warehouse data into actionable insights that drive efficiency and performance. You will dive into inbound, inventory, and outbound operations, build dashboards, and automate reports to support data-driven decision making.

You will define key metrics, monitor performance, and collaborate with cross-functional teams on expansion, automation, and capacity planning using SQL, Excel, and Python.

Qualifications

• Bachelor's degree in a quantitative field (data analytics, statistics, CS, engineering) or equivalent.
• Strong SQL and Excel for data extraction, analysis, and reporting.
• Python knowledge is a plus for data analysis or automation.
• Minimum 3 years of data analytics experience in operations, logistics, supply chain, or warehouse settings.
• Ability to communicate complex insights clearly and present actionable recommendations.

Responsibilities

• Establish robust processes to collect, clean, and analyze warehouse data (inbound, inventory, outbound) to generate actionable insights.
• Support warehouse ops, product, and logistics by translating data insights into actionable plans.
• Define key metrics and build monitoring frameworks to track performance, efficiency, and SLA adherence.
• Identify risks, bottlenecks, and inefficiencies by analyzing trends and systems; provide forward-looking recommendations.
• Write, optimize, and maintain complex SQL queries for recurring and ad-hoc analysis across large datasets.

Skills

Python

Analytical skills

Education

Bachelor's degree in Data Analytics/Statistics/CS/Engineering

Tools

SQL

Excel

Job description

We're looking for a Warehouse Data Analyst to turn complex operational data into clear, actionable insights that drive efficiency and performance. You'll dive into warehouse operations (inbound, inventory, outbound), build dashboards and automated reports, track KPIs, and uncover bottlenecks to optimize workflows. You'll also partner with cross-functional teams to support warehouse expansion, automation, and capacity planning, using SQL, Excel, and data-driven strategies to make an impact.

Job Description:

• 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.
• 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.