ANALYTICS ENGINEER · DATA MODELLING · dbt · SQL · BIGQUERY · BUSINESS INTELLIGENCE

I build reliable data models for reporting and decision-making.

I’m Fuad Abiola Adebisi, an Analytics Engineer with 4+ years of experience building data models, transformation pipelines and reporting solutions used by product and business teams. I work with dbt, DataForm, BigQuery, SQL, Looker and Power BI.

10+data products built
~200Mrows processed
10M+customers supported
60+colleagues trained

01 / ABOUT

Making data easier to trust, understand and use.

I work on data transformation, modelling, metric definition and reporting. My focus is making sure analysts and business teams have consistent data they can use without rebuilding the same logic in different places.

My background includes BI engineering, data quality, customer operations and analytics. That experience helps me understand business questions and turn them into useful data models, metrics and reports.

I have also trained 60+ colleagues on Looker, BigQuery, data modelling and data exploration, and mentored junior team members on analytics engineering workflows.

02 / EXPERIENCE

Experience across analytics engineering, reporting and data quality.

Jan 2022 to May 2026

BI Engineer · Kuda Bank

Lagos, Nigeria

  • Built and maintained 10+ data products using dbt, DataForm and BigQuery, transforming datasets of about 200M rows into clean, tested models used for analysis and reporting.
  • Worked with Product and Business teams to define data models, KPIs and business metrics for tracking customer behaviour and product performance across 10M+ customers, supporting a 20% improvement in core KPIs.
  • Built shared data models and automated reports used in Looker, Looker Studio and Power BI, giving teams consistent metrics for day-to-day reporting.
  • Built reporting and analysis used by product teams to track performance, contributing to 15% growth in new customer acquisition.
  • Trained 60+ colleagues on Looker, BigQuery, data modelling and data exploration, helping teams use data more confidently.
  • Mentored 2 interns on data modelling, transformation and analytics engineering workflows. Both later moved into full-time roles.
Sep 2020 to Jan 2022

Customer Support Analyst · Kuda Bank

Lagos, Nigeria

  • Analysed customer service data and market trends to identify improvement opportunities for a 50+ person operations team.
  • Worked with the Growth team on customer incentive strategies supporting engagement initiatives across 5M+ customers.
  • Trained employees on new processes and Intercom, helping improve service delivery efficiency by 25%.
Aug 2019 to May 2020

Data QA Analyst · MDC-Africa

Lagos, Nigeria

  • Validated 1,000+ records daily, checking accuracy, completeness and compliance with client data standards.
  • Analysed field activity and territory adherence across 16 regions in Ghana, identifying issues and reporting them for follow-up.
  • Produced daily performance reports showing coverage gaps, underperformance and areas that needed attention.
May 2018 to Aug 2019

Data Analyst · NTA Star TV Network

Lagos, Nigeria

  • Analysed sales reports from 100+ agents across Nigeria, identifying trends that helped improve performance metrics by 15%.
  • Verified sales data for 500+ reactivated dormant accounts to improve reporting accuracy and support business decisions.
  • Monitored agent performance across 6 regions and supported salary and bonus calculations based on performance.

03 / PROJECTS

Selected data projects.

Personal projects use public or synthetic data and are separate from employer work.

03LENDING ANALYSIS

Prosper Loan Exploration

Exploratory analysis of a US lending dataset containing 113,937 loan records and 81 variables, with focus on borrower characteristics, loan performance and relationships between lending variables.

PythonEDAData cleaningVisualisation
04PREDICTIVE ANALYTICS

Customer Churn Prediction

Telecom churn modelling project comparing Logistic Regression, Decision Tree and Support Vector Machines. The retained Logistic Regression model achieved an AUC of 0.8387.

PythonMachine learningClassificationROC-AUC

04 / SKILLS

Tools and areas I work with.

Analytics engineering

dbt · DataForm · SQL · data modelling · data transformation · data quality testing · metric definition

Warehouses & databases

Google BigQuery · Snowflake · PostgreSQL · MySQL

BI & reporting

Looker · Looker Studio · Power BI · Excel · dashboards · reporting

Programming & collaboration

Python · stakeholder management · requirements gathering · data literacy · mentoring

05 / EDUCATION & CERTIFICATIONS

Education and professional development.

EDUCATION

Postgraduate Diploma, Computer Science

University of Lagos · 2018-2020

EDUCATION

B.Sc., Physics Education

University of Lagos · 2009-2015

CERTIFICATION

Data Analysis Nanodegree

Udacity

CERTIFICATION

Predictive Analysis

IBM

CERTIFICATION

Power BI: Up & Running

Udemy

06 / CONTACT

Open to data and analytics opportunities.

I’m interested in Analytics Engineer, BI Engineer and Data Engineer opportunities where I can work on data modelling, reporting and business analytics.