Data Analyst (Business Intelligence) - ShopeeFood

Shopee; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading e-commerce platform in Kuala Lumpur is looking for a Data Analyst to work with large datasets and collaborate with business teams. The ideal candidate holds a Bachelor's degree in Analytics or similar, has advanced SQL skills, and excels in data interpretation and statistical analysis. Responsibilities include ensuring data integrity and providing actionable insights. The role demands strong communication, problem-solving skills, and the ability to thrive in a fast-paced environment.

Qualifications

• Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, or related fields.
• Advanced level of SQL, with strong data principles.
• Ability to interpret large datasets effectively.

Responsibilities

• Query and analyze large datasets, creating or fixing data pipelines.
• Collaborate with business teams to translate questions into technical tasks.
• Ensure data integrity and accuracy through best practices.

Skills

SQL

Data Analysis

Statistical Analysis

Problem-Solving

Strong Communication

Business Acumen

Education

Bachelor’s degree in Analytics or related fields

Tools

R

Python

Job description

Job Description

• Work with Data: Responsible for querying, and analyzing large datasets, and creation or fixing of data pipelines and dashboards to meet business needs.
• Collaborate with Business Teams: Partner with business teams to understand challenges, contribute to analytics frameworks, and help translate business questions into technical tasks.
• Statistical Analysis: Assist in in-depth analysis using methods like A/B testing, regression, penetration, benchmarking, projection, assist in evaluating model performance, and interpret data to provide actionable insights.
• Data Integrity: Ensure data integrity and accuracy by implementing best practices in data management and governance.
• Project / Study: Engage in end-to-end in-depth analyses or projects, and provide actionable next steps to address business challenges.

Requirements

• Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
• Advanced level of SQL, strong knowledge in data granularity and data principles
• Strong interpretation of large and intricate dataset (millions to billions rows).
• Strong analytical and problem‑solving skills.
• Strong communication & collaboration skills.
• Strong business acumen in finance, marketing, business development, operations or related.
• Able to work in a fast‑paced and dynamic environment independently.

Bonus Points If You Have

• Knowledge in R or Python
• Experience in the e‑commerce/food delivery industry