
Remote opportunity at
KudaHead of BI & Analytics
Kuda operates a digital financial platform aimed at making banking services in Africa accessible, affordable, and rewarding. Backed by substantial investment, the company offers a smarter…
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About This Role
Kuda operates a digital financial platform aimed at making banking services in Africa accessible, affordable, and rewarding. Backed by substantial investment, the company offers a smarter alternative to traditional banking through money transfers, business banking, and credit access. Kuda is currently seeking a remote Head of BI & Analytics to direct the business intelligence and analytics department, providing trusted reporting and actionable product insights across the organization. This leadership position…
Job Description
Kuda operates a digital financial platform aimed at making banking services in Africa accessible, affordable, and rewarding. Backed by substantial investment, the company offers a smarter alternative to traditional banking through money transfers, business banking, and credit access. Kuda is currently seeking a remote Head of BI & Analytics to direct the business intelligence and analytics department, providing trusted reporting and actionable product insights across the organization.
This leadership position involves guiding a BI Engineering team responsible for scaling a centralized semantic layer, as well as an Analytics team embedded directly within product squads to advance product insights. The incoming leader will spearhead the adoption of a next-generation BI platform, expand self-service reporting, integrate agentic AI capabilities, and establish strategy for the function. The role requires partnering closely with leaders across product, customer experience, marketing, data engineering, and finance to define metrics, shape commercial strategies, and build financial models including customer lifetime value and unit economics.
Candidates suited for this opportunity will possess a proven background in managing data teams composed of managers, engineers, and analysts. The ideal person combines strong SQL proficiency and data warehouse engineering standards with executive-level stakeholder management and a forward-looking strategy for artificial intelligence in analytics. Kuda maintains an equal opportunity employment policy and prioritizes employee welfare.
Responsibilities
- Lead, develop, and manage a data team spanning BI engineering, pricing, and product analytics
- Own the overarching BI strategy, roadmap, and implementation of a governed semantic layer in the new BI platform
- Drive organizational adoption of the BI platform and agentic AI through change management across product, customer experience, marketing, and operations
- Define core business reporting, KPI consistency, and accurate ownership across all company functions
- Support the design and tracking of company and team OKRs alongside senior leadership
- Guide the analytics team in deepening engagement with product squads through roadmaps, experimentation, and advanced analytics
- Partner with product and finance to build analytical cases, quantify trade-offs, and develop financial models like lifetime value and revenue
- Define and deliver Kuda's strategy for AI-assisted analysis and query-reliable semantic models within data privacy guardrails
- Collaborate with data engineering on data landing standards, modeling, testing, deployment, and release cycles
- Uphold and improve development best practices including version control, code review, documentation, and monitoring
Requirements
- Demonstrated experience leading data teams of managers, engineers, and analysts with a track record of personnel development
- Strong hands-on SQL skills sufficient to review team output and establish technical standards
- Thorough understanding of data development practices including table creation, testing, versioning, and warehouse deployment
- Experience designing or scaling a semantic layer or governed metrics layer and defining trusted KPIs
- Strong forecasting and modeling experience including lifetime value, revenue, and unit economics
- Experience shaping product strategy using data such as pricing, proposition, or tier design
- Proven track record of driving BI tool adoption among non-technical teams through influencing without authority
- Ability to partner with senior stakeholders and communicate effectively to both technical and non-technical audiences
- Clear perspective on integrating AI into business intelligence and analytics in a responsible manner
Qualifications
- Experience utilizing BigQuery, Looker, and Dataform or dbt
- Background working in fintech, banking, or other financial services industries
- Hands-on experience with AI-assisted analytics or agentic AI within a business intelligence context
- Prior experience with experimentation and advanced analytics methods in a product setting
- Knowledge of African markets
- Bachelor's degree in Computer Science, Statistics, Business, Mathematics, Economics, or a related field
Core Skills
Benefits
- Multinational and upbeat work environment
- Pension plan
- Career development and growth opportunities
- Competitive annual leave plus bank holidays
- Competitive paid time off covering parental leave, moving day, birthdays, and study leave
- Medical insurance
- Award-winning learning and development training
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote status for the Head of BI & Analytics role?
The position is fully remote, though Kuda advocates for a hybrid in-office schedule where applicable.
What is the salary for this position?
The source posting does not specify a salary for this role.
What kind of employment type is this?
This is a full-time employment opportunity.
What technical qualifications are nice to have?
Preferred qualifications include experience with BigQuery, Looker, Dataform or dbt, fintech or banking background, hands-on agentic AI experience, experimentation methods, knowledge of African markets, and a relevant bachelor's degree.
Sample Interview Questions
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