Job description

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.

Data Analytics Lead

Where you'll work