Data Analyst - Business Intelligence

Shopee; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading e-commerce platform in Kuala Lumpur is looking for a Data Analyst to manage and analyze large datasets, ensuring data integrity while collaborating with business teams. The ideal candidate should have a Bachelor's degree in a relevant field and advanced skills in SQL, along with strong analytical and problem-solving abilities. Experience with R or Python is a plus. This role demands independence, adaptability, and business acumen in a dynamic environment.

Qualifications

• Bachelor’s degree in a relevant field.
• Advanced SQL skills required.
• Strong analytical and problem-solving skills.
• Ability to work independently in a fast-paced environment.

Responsibilities

• Querying and analyzing large datasets for business needs.
• Collaborating with business teams to translate questions into technical tasks.
• Performing statistical analysis and evaluating model performance.
• Ensuring data integrity and accuracy.
• Engaging in end-to-end analyses to address business challenges.

Skills

Advanced SQL

Data analysis

Statistical analysis

Problem-solving

Communication

Collaboration

Business acumen

Education

Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, or related fields

Tools

R

Python

Job description

Job Description

What You’ll Do

• 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 industry