Data Analytics Lead

Role overview

Our client, a major player in financial services, is in the middle of an ambitious technology transformation. As the Data Analytics Lead, you will play a key role in defining the direction of their analytics capability and helping build a modern, enablement-focused function.

The team is creating a foundation built on trusted enterprise data, governed analytics, safe AI enablement, and self-service capabilities for the wider business. In this role, you will own the layer that links the data platform to real-world business decisions.

What you will do

• Lead analytics engineering, BI, or data insights delivery within an enablement-first operating model rather than a centralized reporting structure.
• Design and manage the semantic and metric layer, including dbt-style modelling or a comparable approach.
• Set up and run a certified dataset programme, ensuring trusted datasets are aligned to specific decision-making needs and have clear ownership.
• Own Power BI practices across modelling, performance, governance, and standards.
• Create and enforce BI standards that can be adopted consistently across teams.
• Work confidently with SQL and use Python where analytics work requires it.
• Deliver data literacy initiatives and help build a strong community of practice.
• Partner with stakeholders to turn business priorities into useful data products while also pushing back on requests that should remain decentralized.
• Coach and advise teams to increase adoption, confidence, and long-term capability.

Skills and experience required

• Background leading analytics engineering, BI, or data insights in an enablement-led environment.
• Practical experience building semantic and metric layers.
• Experience with trusted or certified dataset frameworks tied to business decisions.
• Advanced Power BI knowledge, including modelling, performance tuning, governance, and standards.
• Strong SQL ability and working familiarity with Python for analytical tasks.
• Experience running data literacy programmes or communities of practice.
• Strong stakeholder management and communication skills.
• Ability to influence, coach, and guide teams across the business.

Nice to have

• Exposure to Azure Databricks SQL and lakehouse analytics approaches.
• Experience with AI-supported insight generation or AI design review.

Additional information

This is an excellent opportunity to lead a data analytics function within a collaborative and supportive team.

For a confidential discussion, apply to JP Browne.