Head of Data & Analytics

DescriptionOkoora is looking for a hands-on Head of Data & Analytics to build and lead our data foundation as a business engine – not as a supporting function. This is a unique opportunity to own Okoora’s data strategy from the ground up and transform It into a real-time decision system that drives operations, revenue, and strategic intelligence across the company.Your mission: turn Okoora Into a company that manages itself through data.You will work directly with the CEO and collaborate with Finance, Product, Sales, and Operations to create a unified data infrastructure and accurate, actionable insights that power our growth.Key Responsibilities Build and own Okoora’s end-to-end data infrastructure: collection, modeling, transformation, analysis, and visualization. Create a single source of truth across Product, Sales, Finance, Operations, and Marketing. Design and implement core KPIs based on the Execution Engine framework (Proof, ARR, NRR, Margin, Usage). Manage and mentor the existing Data Analyst, ensuring accuracy, consistency, and business relevance of all data outputs. Develop and maintain business dashboards in Power BI for management and department leads. Lead Data Governance: data quality, permissions, and update policies. Deliver executive-level insights and monthly intelligence reports for leadership and investors. Collaborate cross-functionally to embed data-driven decision-making across all teams.Requirements 5-8 years of experience in Data / Analytics / BI / Data Engineering. Proven record building data infrastructure from scratch in SaaS or Fintech environments (30–100 employees). Deep business understanding – able to translate data into financial and operational truth. Strong proficiency In SQL and Power BI (mandatory). Experience with CRM, ERP, and accounting systems (HubSpot, Crisp, financial software, product DB). Knowledge of business metrics: ARR, NRR, Margin, CAC, Conversion. Hands-on builder mindset: perfectionism in data accuracy, ownership of results. Excellent communication skills and the ability to explain data to non-technical stakeholders.