Promise Adeniji

I’m a results-driven Data Analyst with 4+ years of experience across fintech, public sector, and digital products. I specialise in translating complex datasets into strategic insights that optimise processes and strengthen executive decision-making through measurable outcomes.

In my recent Data Analyst Consultant role, I designed and implemented KPI frameworks to monitor user behaviour, retention, and campaign effectiveness across 8 client accounts, directly helping reduce churn. I also ran behavioural segmentation on 2,000+ users to identify key churn drivers, delivering targeted recommendations that increased client retention by 15%. Using end-to-end SQL pipelines and Python workflows (Pandas, NumPy), I cut manual processing time while improving data accuracy.

I build statistically grounded experimentation and reporting systems. I designed and analysed controlled A/B experiments to evaluate product feature performance and user engagement, then partnered with product and marketing teams to interpret performance metrics and turn findings into clear, actionable business recommendations. Earlier, I developed automated Excel and Power BI reporting for recurring operational updates, created standardised leadership dashboards, and improved data quality through structured entry protocols and validation processes.

Beyond reporting, I bring a human-centred insight mindset from UX research and design work. I conducted qualitative and quantitative user research, synthesised mixed-method findings into concise insight reports, and delivered recommendations that reduced friction points and improved usability. I also apply this approach through portfolio work like RFM customer segmentation in Python/SQL/Power BI and machine learning modelling using scikit-learn.