Head Of Analytics & Insights - Lesaka ( FinTech) at Lesaka Technologies

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, ad‑hoc 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 self‑service analytics environments.

Data‑to‑Insight: 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 business‑impact reporting.

Insights Packaging & Business Collaboration

• Partner closely with Business Advisory to ensure insights are actionable and clearly communicated.
• Support executive decision‑making 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 high‑performing 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 decision‑ready insights.

Collaborative Partnership

• Works effectively with Data Engineering and Business Advisory as equal partners.

Leadership & Talent Development

• Builds a high‑performing team and raises analytical capability across the function.

Closing Date 19 May 2026