- 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
