Jobs at Cube Asia

Supports a major global client by analyzing e-commerce market data, preparing reports and insights, coordinating deliverables, managing requests, and communicating with client and internal stakeholders. The role requires strong quantitative ability, client service skills, attention to detail, organization, and excellent English communication. It offers exposure to global account management and opportunities to grow within the account management team.

Supports the full data lifecycle, including ingestion, validation, transformation, reporting, and downstream delivery. Maintains data pipelines and operational reporting workflows, implements quality checks and anomaly detection, and contributes to scheduled ETL pipelines using orchestration tools. Uses Python and SQL to manage multi-source data, collaborates with technical and non-technical stakeholders, documents processes, and improves recurring data operations.

Serve as Cube's primary contact for a major global consumer-goods client: manage stakeholder relationships, coordinate projects and deliveries, surface client needs to product and data teams, and ensure high-quality, timely insights. Build expertise in Cube's e-commerce market data and reports while identifying opportunities to improve the client experience and support account growth.

Lead and build the finance function for a Series A-scale startup: own FP&A, tighten Xero reporting and controls, run monthly close, improve investor and board reporting, oversee billing/collections and Singapore compliance, and mentor the senior analyst while scaling the team.

The Talent Acquisition Analyst will drive the recruitment process for various roles, partner with managers to define candidate profiles, and build a diverse talent pipeline, focusing on fostering a strong hiring culture.

Design, build, and maintain backend services, APIs, and platform features for a Next.js-based data platform. Improve scalability, performance, and reliability for large-scale data processing and analytics, collaborate with frontend and BI teams, troubleshoot production issues, and drive architecture and optimization decisions.

Work with real-world datasets to clean, transform, and analyze data using Python and spreadsheets; perform exploratory analysis, develop data models, support client reporting, and communicate insights to cross-functional teams to drive e-commerce decisions.

This role involves testing dashboards and features on an analytics platform, ensuring their accuracy and usability for real users. Collaboration with product owners and BI developers is key to validating requirements and documentation prior to live releases.

Lead and scale the analytics function by defining data strategy, managing and mentoring analysts, building scalable data models and pipelines, partnering with stakeholders to deliver actionable insights, and establishing data governance, quality, and visualization standards to support strategic decisions for internal teams and clients.