Data Analyst
I analyse data to uncover patterns, improve decisions and drive impact — across business intelligence and sports analytics.
SQL Power BI Excel Python
MSc International Business
with Data Analytics
University of Ulster
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Projects completed
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Dashboards built
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Data tools mastered
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Languages spoken
About & skills
I’m Anouar Lacheheb, a data analyst based in Manchester, UK, working across business intelligence and sports analytics. I hold an MSc in International Business with Data Analytics, and I build analysis that turns raw data into decisions teams can act on.
MSc International Business with Data Analytics
Projects
Modelled expected fill rates for all 24 EFL Championship clubs — Blackburn ran ~33pp under the model, Portsmouth 15pp over.
ApproachAttendance and stadium data per club, modelled against expected fill rates and classified in a ±3pp band — published as an interactive Tableau dashboard.
Scored 584 World Cup players on value-for-performance — Julio Enciso tops all forwards at 74.6, a 22-year-old at €25M.
ApproachPosition-specific FBref KPIs priced against Transfermarkt values, min-max normalised into a 40/35/25 weighted score — shipped as a Power BI report.
How I work
In any project I take on, I start with a business question, not a dataset. I work calmly and methodically: frame the question, model it honestly, and present the answer so a decision-maker can act on it in one read.
The same standard applies to everything I publish — real data, accurate labels, and findings stated only as strongly as the evidence allows.
Core strengths
Credentials
Completed coursework with the skills each one covered.
Applying AI tooling to practical, everyday data-analysis workflows.
Skills learned
LinkedIn Learning
Foundations of generative AI and where it earns a place in business.
Skills learned
Microsoft & LinkedIn
The Microsoft and LinkedIn learning path on the foundations of working with data.
Skills learned
Toolkit
The stack behind the dashboards — practised daily, growing deliberately.
Interactive reporting and dashboarding that people actually use.
Querying, modelling and automating the analysis pipeline.
Wrangling, exploring and visualising data in notebooks.
Versioned, reproducible work from notebook to publication.
I’m always open to a conversation about data, analytics or football business.
Contact me