Home

Data & Operations Analyst

Extracting data, building models and always adapting to what comes next.

I’m Matt, a Data & Operations Analyst building towards an end-to-end data skill set — from engineering and analysing data to statistical modelling, machine learning and AI. My experience spans banking and intergovernmental organisations, where I’ve used data to automate processes, uncover insights and support better management decisions.

Featured Projects

Latest Experience

Charities Aid Foundation Bank

Dec 2025 – present

Customer Data & Operations Analyst

Data analysis, reporting and automation for customer operations using Python, SQL, Excel and Power BI, including creating ETL pipelines, PostgreSQL database design and management reporting.

Python · Statistics · Excel · Power BI · PostgreSQL · ETL

International Organization for Migration — United Nations

Jun 2024 – Nov 2025

DTM Associate (Data and Reporting Analyst)

Data cleaning, statistical analysis, visualisation and reporting across international migration and displacement projects using Python, R, SQL, Excel and Power BI, with methodological support and international stakeholder coordination.

Python · R · SQL · Excel · Power BI · Predictive Statistics

Core Skills

Python

Pandas · Matplotlib

SQL

PostgreSql · MySQL

Statistics

Probability · Forecasting

Excel

Analysis · Reporting

Power BI

M · DAX

Mathematics

Modelling · Application

Automation

Process & Workflow Efficiency

Git

Version Control

AI

Skills · Tools

Data Visualisation

Seaborn · Matplotlib

 

A bit about me

Data was not my first career, but it was the one I could genuinely see myself doing every day.

Before moving into the sector, I spent almost a decade working in SEO and content as an analyst and copywriter. Those roles taught me a great deal about communication, strategy, stakeholder management and the importance of the details (it also meant I spent a lot of time around website metadata). Over time though, I found SEO and content less and less professionally satisfying. I became increasingly interested in how ideas (and their outcomes) could be measured and tested rather than simply presented and argued. Using data to inform the creative process was one thing, but I was more curious about the analysis itself – shaping the numbers, finding patterns and understanding what was driving the process I was creating.

As someone who has always enjoyed being thorough, I returned to university (part-time whilst working) to study economics and rebuild my mathematical foundations, before going on to complete a master’s degree at the LSE in development studies with a dedicated specialism in applied economics. It was during those years that my interest in data, statistics and mathematical modelling became much more serious, to the point that it now extends beyond only formal study: I continue to develop my mathematics and statistics through the Open University, not just for professional development, but because I genuinely enjoy it.