Who We Are
We are an organisation that exists to drive progress. That's the “red thread” that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them.
We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses,
The Economist, Economist Impact, Economist Intelligence and Economist Education, which uphold our global reputation for excellence and integrity.
As part of a goal to make the Data, Research & Insight (DRI) function fit for an AI-powered future, the Analytics Engineering Manager will be the primary lead for data enablement within the Insight Products team. The core purpose is to ensure that high-quality, well-governed data is available for use by the Insight Products team and their stakeholders.
This role bridges the gap between raw data infrastructure and end-user insight products. You will facilitate the radical democratisation of data by delivering high-quality requirements to the central Data Engineering team while leading your own team in undertaking "lighter" data engineering activities to accelerate delivery. You will be a key technical resource for the creation of next-gen "Insight Products," including AI-powered analytics agents and custom applications.
Direct Reports: 3x Technical Business Analysts, 2x Analytics Engineers
Measures of Success
Qualitative
- Data Trust: Significantly improved organizational confidence in data through superior governance, observability, and documentation.
- Seamless Collaboration: Success is defined by an effective working relationship with the Business Intelligence (BI) Manager and central Data Engineering to maintain a robust data supply chain.