Sample document — fictional candidate for illustration purposes only. Your CV is prepared from your own record.
Professional Summary
Analytics leader with 8 years of experience scaling data functions at high-growth tech companies in Africa and Europe. Built and managed a team of 11 analysts and analytics engineers from zero. Expert in modern analytics stack (dbt, BigQuery, Looker) and in translating ambiguous business problems into governed, self-serve data products. Track record of materially improving driver supply, customer retention, and operational efficiency through data.
Leadership & Impact
11
Analytics team built from scratch
340+
dbt models in production
62%
Reduction in ad-hoc reporting load
14%
Driver supply lift, Lagos market
Technology Stack
Python
SQL
dbt
BigQuery
Looker
Airflow
Fivetran
Segment
Tableau
Terraform
dbt Cloud
Git
Experience
Bolt, Tallinn (Remote from Lagos until Mar 2024, then relocated)
- Business question: How could Bolt reduce dependency on the central analytics team for day-to-day market reporting? Approach: Led migration of 340 ad-hoc SQL queries into a governed dbt project with documented models and Looker dashboards; trained market managers in self-serve. Outcome: Ad-hoc analytics requests to the central team fell 62% within 6 months of launch.
- Business question: Which driver cohorts were churning fastest in Eastern European markets? Approach: Built a driver lifetime value model segmenting by acquisition channel, city, and vehicle type; surfaced insights through a Looker dashboard for country managers. Outcome: Targeted retention nudges reduced 90-day driver churn by 17% in the Riga and Vilnius markets.
- Grew the analytics team from 3 to 11 (including 4 analytics engineers and 3 product analysts); established hiring rubrics, onboarding, and career laddering used across the data org.
- Defined and owned company-wide data quality SLAs; incident rate fell from 3.2 per week to 0.8 per week in the first year.
Jumia, Lagos
- Business question: Could better demand forecasting reduce warehouse stockout rates across 5 Nigerian cities? Approach: Built a time-series forecasting pipeline (Prophet + BigQuery ML) trained on 3 years of order history; integrated outputs into the inventory planning tool. Outcome: Stockout rate dropped from 18% to 9% across covered SKUs, reducing lost-sale revenue by an estimated ₦420M/quarter.
- Business question: Why did 34% of first-time buyers never place a second order? Approach: Ran a funnel analysis and exit survey correlation; identified payment failure at step 3 as the dominant blocker for 58% of churned users. Outcome: Product fix shipped within 6 weeks; second-order conversion improved from 66% to 79% over the following quarter.
- Managed a team of 5 analysts; introduced weekly data reviews with C-suite that replaced a 40-page static monthly report.
Andela, Lagos
- Business question: How should Andela prioritise which engineers to place in which client engagements to maximise retention? Approach: Developed a match-score model using skills embeddings and historical engagement outcome data. Outcome: Model-assisted placements showed 23% higher 12-month engagement retention vs. manual matching baseline.
- Established the first analytics function at Andela Nigeria; hired 2 junior analysts and built core KPI dashboards from scratch.
Additional Skills
- Analytics engineering & data modelling
- OKR setting & data strategy
- Cross-functional stakeholder management
- A/B testing & causal inference
- English (fluent), French (native), Yoruba (conversational)
Education
MSc Data Science
Sep 2016 – Aug 2017
University of Edinburgh — Distinction, Thesis: Demand Forecasting for Last-Mile Logistics in Emerging Markets
BSc Statistics & Computer Science
Sep 2012 – Jun 2016
University of Lagos — First Class Honours