Head of BI & Analytics

Kuda; South Africa; Ibrido; ZAR 1.200.000 - 2.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Pension

Career development & growth

Medical insurance

Hybrid in-office schedule

Bank holidays

Descrizione del lavoro

Kuda is seeking a Head of BI & Analytics to lead our BI & Analytics function, delivering trusted reporting and product insight that drive decisions across the business. You will lead a BI Engineering team scaling the semantic layer as the single source of truth, and an Analytics team embedded in product squads driving deeper product insight and more advanced analytics.

You will champion adoption of our next-generation BI platform, expand self-serve and agentic AI use across the organisation, and

Competenze

• Experience leading data teams of managers, engineers and analysts.
• Strong SQL and ability to review team's work.
• Data development practices: tables, models, tests, deployment.
• Experience designing or scaling a semantic layer and KPIs.
• Forecasting and modelling experience (LTV, revenue, unit economics).
• Ability to shape product strategy with data, including pricing.
• Proven adoption of BI tools among non-technical teams.
• Ability to partner with senior stakeholders and communicate clearly.
• Perspective on AI in BI and practical plan.

Mansioni

• Lead and develop BI Engineering, pricing and product analytics teams.
• Own the BI strategy and roadmap, including semantic layer in new BI platform and governance of gold-layer domains.
• Drive adoption of BI platform and agentic AI across Kuda with change management across product, CX, marketing and operations.
• Own core business reporting and KPI definitions, ensuring accuracy and ownership.
• Support design and tracking of company OKRs.
• Develop Analytics team through product squad engagement, experimentation and advanced analytics.
• Help shape product and commercial strategy with analytical cases and cross-functional collaboration.
• Support/own forecasting and financial modelling (LTV, revenue, unit economics).
• Define AI strategy for BI and analytics with governance and privacy guardrails.
• Work with Data Engineering on data landing and standards for deployment to production.
• Uphold development best practices and retire unused dashboards.
• Turn business questions into priorities and present findings to leadership.

Conoscenze

SQL

Data warehousing

Semantic layer

Forecasting

Modelling

Pricing strategy

Stakeholder management

BI adoption

Communication

AI in BI

Formazione

Bachelor's degree in CS/Statistics/Business/Math/Economics

Strumenti

BigQuery

Looker

Dataform

dbt

Descrizione del lavoro

Kuda, which means ‘love' in Shona, is more than a fintech - it's a movement to make financial services accessible, affordable, and truly rewarding for every African.

Backed by over $100 million from some of the world's most respected investors, we're building a smarter alternative to traditional banking - offering seamless money transfers, business banking, and instant access to credit, all through your device.

At Kuda, we don't just build products - we build people. We share the love in how we collaborate, carry everyone along as we grow, break boundaries to challenge what's possible, and show up every day committed to doing better.

If you're driven by purpose, excited by impact, and ready to help redefine the future of finance in Africa, you'll feel right at home here.

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

• 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

Kuda are proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.

We don't regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.