Customer Analytics Lead

The role is responsible for leading the delivery of end-to-end customer analytics engagements, translating and presenting complex data in clear, actionable insights that support decision‑making and build customer trust. It designs and executes advanced analytics workflows, including automated AI/ML models and visualisations, while embedding risk and control principles into analysis and reporting to support compliance and risk awareness. The role drives continuous improvement through innovation, automation, and best practices, manages multiple projects with consistency and quality, and communicates insights effectively to internal and external stakeholders.

In addition, the role provides mentoring and guidance to junior analysts, promoting high standards, collaboration, and capability development across the team.

• Manage and deliver end‑to‑end customer programmes, ensuring analytics outputs are accurate, insightful, and aligned to customer objectives.

• Design, build, and maintain advanced analytics workflows, including automated models, dashboards, and visualisations.

• Translate analytical findings into actionable insights and recommendations for both technical and non‑technical stakeholders.

• Integrate risk and control considerations into analytics and reporting, identifying key risk indicators and supporting compliance alignment.

• Lead structured problem‑solving initiatives to improve analytics quality, efficiency, and scalability through automation and standardisation.

• Manage multiple analytics projects concurrently, ensuring consistent delivery, quality standards, and timely execution.

• Present insights clearly and confidently to internal teams and external customers, tailoring messaging to business context.

• Promote and embed best practices in analytics delivery, documentation, and data governance.

• Coach and mentor junior analysts, providing guidance, feedback, and support to build capability and confidence.

• Foster collaboration within the team and across stakeholders to deliver high‑quality, integrated outcomes.

• Customer Engagement & Delivery:
  Manages end‑to‑end customer deliverables, translating analytics into actionable insights. Builds customer trust through reliability and quality of insight and delivery.

• Intelligence, Data Analytics & AI:
  Designs and executes advanced analytics workflows. Builds automated models and visualisations to enhance insight depth and speed. Aids development of new AI tools and customer use cases. Utilises LLMs and data analytics tools such as Python and PowerBI to build and deliver analytics.

• Risk & Control Expertise:
  Integrates risk and control principles into analytics and reporting. Identifies risk indicators and supports compliance alignment.

• Problem‑Solving, Innovation & Best Practices:
  Implements measurable process and automation improvements. Promotes consistent best practices within analytics delivery.

• Communication, Collaboration & Stakeholder Management:
  Presents insights effectively to internal and external stakeholders, ensuring clarity and business relevance.

• Strategic & Operational Execution:
  Manages multiple projects efficiently, ensuring consistency and quality. Improves processes and delivery speed.

• Mentoring & Leadership:
  Coaches junior analysts, promoting collaboration and quality standards within the team.

5+ years’ experience in a relevant financial services risk/compliance or analytics role.

CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.