Data Analyst, Business Intelligence - Retail & Fulfillment

Shopee; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

Shopee in Kuala Lumpur is seeking a Business Intelligence and Data Analytics specialist to query large datasets, build or fix data pipelines and dashboards to meet business needs. You will partner with business teams to translate questions into technical tasks, perform statistical analyses such as A/B testing and regression, and ensure data integrity.

The role demands independent work in a fast-paced environment.

Qualifications

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

Responsibilities

• Work with Data: Query and analyze large datasets; create/fix data pipelines and dashboards to meet business needs.
• Collaborate with Business Teams: Partner with business teams to understand challenges; translate business questions into technical tasks.
• Statistical Analysis: Assist in in-depth analyses using methods like A/B testing, regression, benchmarking, projecting and model evaluation.
• Data Integrity: Ensure data integrity and accuracy by following data management and governance best practices.
• Project / Study: Engage in end-to-end analyses or projects and provide actionable next steps to address business challenges.

Skills

SQL

Data interpretation

Analytical thinking

Communication

Collaboration

Business acumen

Education

Bachelor's degree in Analytics / Data Science / CS / Engineering / Actuarial Science or related fields

Job description

About The Team

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.

About The Team

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.

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 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