Data Analyst - Business Intelligence, Marketplace at Shopee

Shopee; Kuala Lumpur; On-site; MYR 90,000 - 150,000; Full time

Job summary

Shopee in Kuala Lumpur is seeking a Data Analyst - Business Intelligence for the Marketplace team. This on-site, full-time role focuses on querying large datasets, building data pipelines and dashboards to support business decisions.

You will collaborate with business teams, apply statistical methods, ensure data integrity, and translate questions into technical tasks. Strong SQL and data intuition are essential, with knowledge of Python or R a bonus.

Qualifications

• Bachelor's degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
• Advanced proficiency in 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.

Responsibilities

• 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.

Skills

SQL

Data analysis

Communication

Collaboration

Business acumen

Education

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

Tools

Python

R

Job description

Data Analyst - Business Intelligence, Marketplace at Shopee in Kuala Lumpur, M14, MY. This Full time on site position offers great opportunities for career growth.

Department Business Intelligence and Data Analytics LevelExperienced (Individual Contributor) LocationKuala Lumpur

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real 'intelligence' in the iteration cycle.

Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

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 proficiency in 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
• Experience or strong interest in applying AI solutions to accelerate data queries and analysis