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Analyze, clean, transform, and interpret datasets to identify trends, patterns, anomalies, and key metrics. Collaborate with cross-functional teams to understand data requirements, support client reporting, contribute to data models and algorithms, and communicate statistical insights. The role uses Python and spreadsheet tools, with opportunities to work with SQL and cloud data warehouse platforms in an e-commerce environment.

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.

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.

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.