Cube is a data analytics provider serving consumer goods and investment firms across Southeast Asia. The stack—Python, SQL, Postgres, Snowflake, BigQuery, Tableau, Power BI—reflects a data-heavy operation; the hiring surge (8 roles in 30 days, all in data) paired with pain points around scaling recruitment and resource allocation signals rapid customer growth outpacing internal infrastructure. Active projects span algorithmic modeling, API development, and service decoupling, suggesting a shift from pure analytics consulting toward a more systematic, product-driven delivery model.
Tech Stack 17 technologies
Core StackPython Tableau Power BI Power Query Workable Next.js PostgreSQL Snowflake TypeScript Docker BigQuery SQL DAX Excel Git Google Sheets Amazon Athena
What Cube Is Building
◆Challenges
- Balancing resource allocation
- Managing growing client relationship
- Enhancing product offerings
- Improving internal processes
- Meeting client needs
- Scaling recruitment function
- Improving recruitment efficiency
- Monorepo decoupling
- Backend query optimization
- Frontend rendering performance
▲Active Projects
- Advanced analytical models and algorithms for e-commerce data
- Transform and clean large complex dataset
- Custom insights projects
- Custom data gathering work streams
- Scalable hiring processes
- Data-driven recruitment function
- Employer branding initiatives
- Api development
- Frontend feature development
- Service decoupling
Hiring Activity
15 roles · 8 in 30d
Department
Seniority
Company intelligence
