Data Analyst (Business Intelligence) - ShopeeFood

Shopee; Kuala Lumpur; On-site; MYR 40,000 - 60,000; Full time

Job summary

A leading e-commerce company is seeking a Data Analyst to work with large datasets, collaborate with various teams, and provide actionable data insights. The role requires strong analytical and problem-solving skills, proficiency in SQL, and a Bachelor's degree in a relevant field. If you're passionate about data and looking to contribute to a dynamic environment, this opportunity is for you.

Qualifications

• Bachelor's degree in a related field is required.
• Advanced SQL skills and data interpretation of extensive datasets.
• Ability to work independently in a dynamic environment.

Responsibilities

• Query and analyze large datasets to meet business needs.
• Collaborate with business teams to translate questions into technical tasks.
• Ensure data integrity and provide actionable insights.

Skills

Analytical skills

Problem-solving skills

Communication

Collaboration

Education

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

Tools

SQL

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