Data Analyst (Business Intelligence) - ShopeeFood

Shopee; Kuala Lumpur; On-site; MYR 45,000 - 75,000; Full time

Job summary

An innovative e-commerce platform is seeking a Data Analyst to enhance business strategies through data insights and analytics. The candidate will be responsible for querying large datasets, collaborating with business teams, and ensuring data integrity. A Bachelor’s degree in a relevant field and strong SQL skills are essential for this role, along with the ability to work independently in a fast-paced environment.

Qualifications

• Bachelor’s degree in relevant field.
• Strong SQL skills and data interpretation abilities.
• Ability to work independently in a dynamic environment.

Responsibilities

• Query and analyze large datasets to meet business needs.
• Collaborate with business teams to translate business questions into technical tasks.
• Ensure data integrity by implementing best practices in data management.

Skills

SQL

Data Analysis

Problem Solving

Communication

Collaboration

Education

Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, 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