Data Analyst - Business Intelligence
Salary undisclosed
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Job Description
What You’ll Do:
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.
- Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
- 2-5 years of experience in related roles
- 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.
- Knowledge in R or Python
- Experience in the e-commerce industry
Job Description
What You’ll Do:
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.
- Bachelor’s degree in Analytics, Data Science, Computer Science, Engineering, Actuarial Science or related fields.
- 2-5 years of experience in related roles
- 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.
- Knowledge in R or Python
- Experience in the e-commerce industry
About Shopee
| Size | More than 5000 |
| Industry | Broadline Retail |
| Location | Singapore |
| Founded | 5 February 2015 |