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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
CAF Bank Building an ETL Pipeline for Operational Analytics
Data Engineering - Database Design - PostgreSQL
Read MoreCAF Bank Power BI Operational Performance Dashboard
Business Intelligence - Power BI - DAX - M
Read MoreCAF Bank Operational Database & Staged CRM
Data Engineering - Database Design - PostgreSQL
Read MoreLatest 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
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.