Investment Operations Data Analyst · Liverpool

Turning messy operational data into decision-ready reporting

I build finance and operations tools that make analysis easier to trust, repeat and act on, using Python, R, SQL, Excel, Power BI, R Shiny and Streamlit.

Abstract analytics dashboard with charts and metrics

$ current_role --team investment_ops

WEALTH at work · Nov 2025 - Present
T-SQL
R Shiny
Power BI

Stats section

Evidence that the work moves faster after the analysis lands.

01 2 FTE

Equivalent dashboard effort saved through automation, according to MoJ testimonial feedback.

02 120+

Prisons covered by Python modelling and unavailable-cell aggregation in public-sector forecasting.

03 10k+

Stocks visualised in a self-built R Shiny screener alongside 200+ cryptocurrencies.

04 1st

First-Class BSc Economics with finance, econometrics, data analysis and inequality research.

Feature section

What I bring to analytics teams

SQL

Cleaner operational reporting

Experience improving reports at WEALTH at work and The Very Group, with T-SQL, Excel, Power Query and stakeholder-ready outputs.

PY

Automation under pressure

Built and maintained Python workflows for sensitive MoJ data, weekly reporting and model QA during a prison capacity crisis.

UI

Dashboards people can use

Created R Shiny and Streamlit applications that turn large data sets into fast, filterable, visual interfaces.

Link previews

Portfolio projects

Streamlit · Python · TMDB · JustWatch

Movie and TV Series Finder

Fetches top-ranked movies and TV series, then helps users see where titles are available to stream.

R Shiny · Finance · Visualisation

Stock Screener

Interactive dashboard plotting performance across 10,000+ stocks and 200+ cryptocurrencies.

luke@portfolio ~/impact

$ run career-summary --current

WEALTH at work: developing and maintaining data tools for Investment Operations.

$ grep "high stakes" ministry-of-justice.log

Built R Shiny dashboard, QA checked forecasting outputs, maintained Python models across 120+ prisons.

$ deploy portfolio-projects

Streamlit movie finder and R Shiny stock screener linked and ready.

Testimonial

“Luke was a fantastic employee, and received multiple commendations for his work. Luke specifically identified multiple opportunities to improve products and processes. His automation skills saved the equivalent of 2 FTE on dashboard work, and improved the reliability and reproducibility of analytical outputs.”
Abe Treumann Lead Data Scientist at Ministry of Justice UK · November 5, 2024

Timeline

Recent experience

Nov 2025 - Present

Data Analyst · WEALTH at work

Responsible for development, implementation and maintenance of data analysis tools and visualisations within Investment Operations.

Jul 2025 - Nov 2025

Supply Chain Admin Assistant · The Very Group

Improved Excel reporting speed and created reports for delayed orders, availability issues and stock management.

Sep 2023 - Aug 2024

Data Analyst · Ministry of Justice UK

Year-long placement in prison supply forecasting using Python, R, SQL, Excel QA and senior stakeholder reporting.

Contact

Let’s talk about analytics roles, finance data products and reporting automation.