The Data Intelligence Lead will be responsible for leading the regional analytics function, with a strong emphasis on commercial impact. The role requires expertise in data analysis, market evaluation, and opportunity identification, as well as the ability to initiate and implement new data strategies.
Requirements
- Analyze regional business data to identify trends, opportunities, and areas for commercial improvement.
- Conduct market analysis to assess regional performance and competitive positioning.
- Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) for the region.
- Proactively identify, collect, and integrate new data sets to strengthen analytics capabilities and business intelligence.
- Present actionable insights and strategic recommendations to senior management for decision-making.
- Ensure data quality, integrity, and security across all analytics processes.
- Stay updated on industry trends, emerging technologies, and best practices in fintech analytics.
- Analyze and synthesize internal performance data (customer behavior, product usage, revenue, repayment, churn, campaigns) together with external partner data from Mobile Network Operators (MNOs) and other ecosystem partners to identify trends, gaps and opportunities for revenue growth
- Generate actionable business insights and recommendations across key areas, including: Customer communication and campaign strategy, Product and feature enhancements, User experience improvements, Pricing and fee structure optimization, Customer journey and lifecycle management
- Work closely with Commercial, Marketing and Product teams to understand customer pain-points, market feedback and business questions, and translate them into clear analytical problem statements and business requirements for the BI and Data teams
- Work closely with BI teams to extend and optimize complex analyses through data exploration and innovative analytical approaches, ensuring insights translate into higher business value.
- Define and own business requirements for dashboards, reports, and analytical models, ensuring alignment with strategic objectives and operational priorities.
- Interpret complex analytical outputs and communicate findings in a clear, structured, and decision-oriented manner to senior stakeholders, highlighting business impact and recommended next steps.
- Continuously monitor performance indicators and partner data feeds to detect early signals of customer behavior shifts, operational bottlenecks, underperforming segment
Benefits
- Competitive remuneration package
- Extra day off on your birthday
- Performance-based bonus scheme
- All the tech gear you need to work smart
