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Kuda

Head of BI, Analytics

Kuda

. Lead and develop a team spanning BI Engineering, pricing and product analytics, setting clear goals and raising the quality bar.

Posted 10/13/2026full-timeCape Town • South AfricaLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading data teams and developing BI strategies, with a strong focus on forecasting, financial modeling, and the integration of AI in analytics. Proven ability to drive adoption of BI tools and influence stakeholders across technical and non-technical domains.

Highest-signal resume keywords
Team LeadershipSQL ProficiencyBI Strategy DevelopmentForecasting and Financial ModelingChange Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData Development PracticesForecasting ModelsKPI DefinitionSemantic Layer DesignAdvanced AnalyticsData Warehouse DeploymentVersion ControlData TestingMonitoring
Soft Skills
Stakeholder CommunicationInfluencing Without AuthorityConstructive ChallengeTeam DevelopmentClear Communication
Tools & Technologies
BigQueryLookerDataformAgentic AIBI Tools
Certifications & Qualifications
Bachelor's Degree in CSBachelor's Degree in StatisticsBachelor's Degree in BusinessBachelor's Degree in MathematicsBachelor's Degree in Economics
Industry Keywords
FintechBankingFinancial ServicesAfrican Markets

Tech Stack

Tools & technologies
BigQuerySQL

About the role

Key responsibilities & impact
  • 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 the semantic layer in the 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.
  • 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 advanced analytics.
  • Shape product and commercial strategy by building analytical cases for decision making and partnering with Product and Finance to quantify trade-offs and expected impact.
  • Support or own forecasting and financial modelling, including customer lifetime value, revenue and unit economics models.
  • Define Kuda's strategy for how AI will change BI & Analytics and lead delivery within data privacy guardrails.
  • Work with Data Engineering on warehouse staging, modelling, testing, deployment and release standards.
  • Uphold development best practices including version control, code review, documentation, data testing, monitoring and report/dashboard retirement.
  • Partner with senior functional leaders to turn business questions into priorities and present findings and recommendations to senior leadership.

Requirements

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

Benefits

Comp & perks
  • 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
  • Work-life balance
  • Hybrid in office schedule