Head of BI & Analytics

Role overview

• Kuda is looking for a Head of BI & Analytics to lead our BI & Analytics function, delivering the trusted reporting and product insight that drive decisions across the business. You will lead a BI Engineering team scaling our semantic layer as the single, tested source of truth, and an Analytics team embedded in product squads driving deeper product insight and more advanced analytics.
• You will lead adoption of our next-generation BI platform, expand self-serve and agentic AI use across the organisation, and set the strategy for how AI changes BI & Analytics work. You will work closely with the Heads of Product, CX, Marketing and Data Engineering.

Responsibilities

• Lead and develop a team spanning BI Engineering, pricing and product analytics, setting clear goals and raising the quality bar.
• Own the BI strategy and roadmap, including implementing our semantic layer in our new BI platform and extending governed, tested gold-layer domains as the single source of truth for core reporting.
• Drive adoption of the BI platform and agentic AI across Kuda, leading change management with product, CX, marketing and operations teams so trusted, self-serve data is used in everyday decisions.
• Own core business reporting and KPI definitions, ensuring accuracy, consistency and clear ownership across functions.
• Support the design and tracking of company and team OKRs.
• Develop the Analytics team as it deepens engagement with product squads: shaping roadmaps, experimentation, and the move from descriptive reporting to more advanced analytics.
• Help shape product and commercial strategy by building the analytical cases for decision making, and by partnering with Product and Finance to quantify trade-offs and expected impact.
• Support/ own forecasting and financial modelling, building models such as customer lifetime value, revenue and unit economics that inform planning and leadership decisions.
• Define Kuda's strategy for how AI will change BI & Analytics, from AI-assisted analysis and development to governed semantic models that AI agents can query reliably, and lead delivery within data privacy guardrails.
• Work closely with Data Engineering on data landing in our warehouse staging layer, agreeing standards for modelling, testing, deployment and release so new data products reach production quickly and reliably.
• Uphold and improve development best practices: version control, code review, documentation, data testing and monitoring, and retirement of reports and dashboards that are no longer used.
• Partner with the Heads of Product, CX, Marketing and Data Engineering to turn business questions into clear priorities, and present findings and recommendations to senior leadership.

Requirements

• Proven experience leading data teams of managers, engineers and analysts, including developing people and managing performance.
• Strong SQL, with enough hands-on depth to review the team's work and set the technical standard.
• Strong understanding of data development practices, including how tables and models are built, tested, versioned and deployed into a data warehouse.
• Experience designing or scaling a semantic layer or governed metrics layer, and defining KPIs that the business trusts.
• Strong forecasting and modelling experience, including models such as lifetime value, revenue or unit economics that support commercial and product decisions.
• Experience shaping product strategy with data, for example through pricing, proposition or tier design, and influencing senior decision-makers.
• Track record of driving adoption of BI tools and data products among non-technical teams, including through change management and influencing without authority.
• Ability to partner with senior stakeholders, challenge priorities constructively and communicate clearly to technical and non-technical audiences.
• Clear perspective on how AI is changing BI & Analytics, and the ability to turn it into a practical, responsible plan.

Nice to have

• Experience with BigQuery, Looker and Dataform or dbt.
• Experience in fintech, banking or other financial services.
• Hands-on experience with AI-assisted analytics or agentic AI in a BI context.
• Experience with experimentation and advanced analytics methods in a product setting.
• Knowledge of African markets.
• Bachelor's degree in CS, Statistics, Business, Mathematics, Economics, or a related field.

Benefits

At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:

• A great and upbeat work environment populated by a multinational team
• Pension
• Career development & growth
• Competitive annual leave plus bank holidays
• Competitive paid time off Parental, Moving day, Birthday, Study leave etc
• Medical insurance
• Award winning L&D training
• We are advocates of work-life balance, working in a hybrid in office schedule