Purpose
The Head of Analytics & Insights is responsible for leading the team that converts curated data into business understanding, insight, and action.
This is not a passive reporting role — you will:
Drive proactive insight generation
Identify trends, anomalies, and opportunities
Translate data into commercial value
Enable leadership to make better, faster decisions
Working closely with Data Engineering and Business Advisory, this role ensures that analytics outputs move beyond reporting into true business influence and behavioural change.
Key Responsibility Areas
Analytics & Reporting Delivery
Lead the full analytics function including dashboards, reporting, adâÃÂÃÂhoc analysis, and data extracts.
Ensure delivery against prioritised business requirements with high quality and accuracy.
Define and enforce standards for analytical rigour, visualisation, and usability.
Own BI platforms and selfâÃÂÃÂservice analytics environments.
DataâÃÂÃÂtoâÃÂÃÂInsight: Proactive Analytics
Build a culture of proactive insight generation across the team.
Identify patterns, trends, anomalies, and opportunities beyond stakeholder requests.
Develop reusable analytical frameworks across customer behaviour, product performance, and operations.
Drive a consistent cadence of insight reviews and businessâÃÂÃÂimpact reporting.
Insights Packaging & Business Collaboration
Partner closely with Business Advisory to ensure insights are actionable and clearly communicated.
Support executive decisionâÃÂÃÂmaking with strong analytical narratives.
Participate in executive forums to provide technical context and insight depth.
Maintain clarity between analytics delivery and stakeholder engagement responsibilities.
Data Engineering Partnership
Act as the primary consumer voice for the data platform.
Translate analytical requirements into data engineering needs (models, structures, serving layer).
Manage data-quality issues through formal escalation and resolution processes.
Provide feedback on platform usability, reliability, and performance.
Team Leadership & Capability Development
Lead, mentor, and build a highâÃÂÃÂperforming analytics and BI team.
Define roles across BI, structured analysis, insight generation, and support functions.
Develop team capability in SQL, visualisation, statistical thinking, and business understanding.
Contribute to scaling the analytics function through hiring and team design.
Qualifications & Experience
Essential:
Bachelor's degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, Information Systems, or similar)
8+ years' experience in analytics, BI, or data environments
Proven leadership experience managing analytics or BI teams
Advanced SQL skills with experience working on large datasets
Hands-on experience with BI tools (Power BI, Tableau, Looker, etc.)
Strong stakeholder management and communication skills
Advantageous:
Experience in fintech, payments, or financial services
Exposure to dbt or modern data stack tools
Python/Pyspark experience
Statistical modelling (cohort, segmentation, churn, etc.)
Experience presenting to executive or board-level stakeholders
Key Competencies
Analytical Rigour
Maintains high standards of accuracy, methodology, and integrity in analysis.
Commercial Sharpness
Understands how the business creates value and aligns insights to revenue and risk.
Insights Orientation
Moves beyond reporting to explain why things happen and what should be done.
Communication & Storytelling
Translates complex data into clear, visual, and decisionâÃÂÃÂready insights.
Collaborative Partnership
Works effectively with Data Engineering and Business Advisory as equal partners.
Leadership & Talent Development
Builds a highâÃÂÃÂperforming team and raises analytical capability across the function.
Closing Date 19 May 2026