Open to opportunities

daniel Opabisi

@danielopabisi

I build data warehouses, predictive analytics, and executive dashboards that improve operational and commercial decisions.

United Kingdom

Message

What I'm looking for

I'm looking to build reliable data warehouses, automated reporting, and predictive analytics that help stakeholders identify risks, improve operations, and make evidence-based commercial decisions.

I've built Power BI and Tableau reporting for DexterPro, HM Passport Office, Swift Oil, and Vodafone, turning CRM, operational, behavioural, and usage data into decision-ready insights for senior stakeholders.

At DexterPro, I designed reporting over a 2.5 TB behavioural-events warehouse for 120,000+ users and identified that payment-failure users defected 4× faster, helping inform a product fix that lifted retention by 6 percentage points. At Swift Oil, my supply-chain KPI and risk reporting contributed to a £1.2M annual margin increase, while automated reporting gave stakeholders near-real-time performance visibility.

I'm focused on reliable SQL and Python pipelines, dimensional data models, data quality controls, and clear storytelling that helps technical and non-technical teams act on evidence.

Experience

Work history, roles, and key accomplishments

Current

Market Risk Reporting Analyst

Current

Vodafone

Jun 2025 - Present (1 year 2 months)

Produced regular reporting and metrics from CRM and usage data to support business decisions across mobile, broadband, and business tariffs. Worked across departments to align on requirements and improve reporting consistency for sales performance and customer activity.

CRM Reporting Data Analysis Stakeholder Management Process Improvement

Current

Senior Data Analyst

Current

DexterPro Ltd

Oct 2023 - Present (2 years 10 months)

Designed and maintained Power BI and Tableau reporting solutions over a 2.5 TB warehouse of behavioural events, surfacing acquisition funnels, retention cohorts, and lifecycle KPIs for 120,000+ users. Conducted predictive analytics in Python, identifying that payment-failure users defect 4x faster, informing a product fix that lifted retention by 6 percentage points.

Power BI Tableau DAX Data Modeling SQL Python Pandas scikit learn Git GitHub

Data Analyst

HM Passport Office

Dec 2024 - May 2025 (5 months)

Built Power BI and Tableau dashboards integrating data from multiple operational sources into a centralised reporting layer for a UK government service, with row-level security. Analysed application data to identify patterns and anomalies, surfacing top-5 risk-driving reasons that reduced customer turnaround time by 3 days.

Power BI Tableau Data Analysis Requirements Gathering Data Validation Stakeholder Communication

Data Analyst

Swift Oil

Jun 2021 - Sep 2023 (2 years 3 months)

Designed and maintained SQL ETL pipelines integrating raw operational data into structured data models within a centralised warehouse for executive reporting. Built Power BI and Tableau dashboards surfacing operational KPIs and supply-chain risk indicators, contributing to a £1.2M annual margin increase.

SQL ETL Data Warehouse Power BI Tableau Time Series Analysis Statistical Modeling Automation

Business Intelligence Analyst Intern

REHDORS Logistics Solutions

Feb 2019 - Aug 2019 (6 months)

Analysed 50,000 delivery routes and produced pattern-based recommendations that reduced last-mile delays by 8.8%. Documented as-is and to-be processes to support requirements for a new tracking platform.

Data Analysis Route Optimization Process documentation Requirements Gathering