Data Analyst

Turning data into clear business insights.

I analyse data to uncover patterns, improve decisions and drive impact — across business intelligence and sports analytics.

SQL Power BI Excel Python

View my work Manchester, UK
Education

MSc International Business
with Data Analytics

University of Ulster

Manchester, UK Expected Jun 2027
Education

MSc Data Analytics
in Football

UCAM · Sports Data Campus

Online Starting October 2026
Education

GCI World 2026

Matsuo Laboratory

Online 2026
Education

Bachelor’s, International Law
& Legal Studies

Université Ibn Tofaïl

Morocco 2021

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Projects completed

0+

Dashboards built

0+

Data tools mastered

0

Languages spoken

Anouar Lacheheb

About & skills

Analyst by training,
curious by default.

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.

Education

MSc International Business with Data Analytics

Languages

  • Arabic Native
  • French Fluent
  • English Fluent
  • German Basic

Tools & technologies

Python SQL Tableau Power BI Excel Git & GitHub

Career

Experience

Employer-backed analytics work, on real business data.

May 2023 – Aug 2024 1 yr 4 mos · Full-time

Business Analyst

H2I Business Casablanca, Casablanca-Settat, Morocco · On-site

Supported business performance within a manufacturing company specializing in workwear, protective clothing, and personal protective equipment.

  • Analysed sales, production, inventory, and customer data to identify trends and improvement opportunities.
  • Prepared performance reports and monitored key business indicators.
  • Supported demand forecasting, stock planning, and production scheduling.
  • Created dashboards and presentations to communicate insights and recommendations.

Skills

Business Analysis Data Analysis Microsoft Excel Reporting Dashboard Development KPI Monitoring Inventory Analysis Sales Analysis Demand Forecasting Market Research Process Improvement Stakeholder Management Cross-functional Collaboration Problem Solving
Jan 2022 – Feb 2023 1 yr 2 mos · Full-time

Project & Operations Analyst

GLEDAT Béni Mellal-Khénifra, Morocco

Supported project planning and control for a company operating across civil engineering, general contracting, trading, and freight transportation.

  • Tracked project expenditure, operational costs, and budget performance across construction and transport activities.
  • Reviewed project and service profitability to identify financial risks and areas for improvement.
  • Monitored material orders and delivery schedules to reduce delays and operational disruptions.
  • Identified cost variances and operational issues and communicated findings to decision-makers.

Skills

Project Cost Control Business Analysis Procurement Analysis Budget Tracking Project Coordination Logistics Planning Supplier Evaluation Commercial Reporting Cost Estimation

Projects

Selected work

Tableau Public — Football Data Market

Market landscape · 70+ countries

70+Countries researched
N. AfricaVerified gap finding
SQL · SQLitePythonTableau Public

Football Data Market Landscape

Market Analysis

A SQL, Python and Tableau analysis of the football data industry — who leads each market segment, how fragmented the competition is, and where coverage gaps remain, including a verified finding on the North Africa market.

Approach70+ countries individually researched into a SQLite database, analysed in Python and published as an interactive Tableau story — full methodology documented on GitHub.

70+countries researched
3SQL · Python · Tableau
N. Africaverified finding
View story GitHub

Championship Attendance Analysis

Sports Analytics

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.

24clubs modelled
±3pptolerance band
11overperformers
GitHub

WC2026 Hidden Transfer Gems

Football Analytics

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.

584players scored
48nations covered
40/35/25model weights
GitHub
Tableau Public — Crystal Palace ROI Crystal Palace recruitment ROI Tableau story preview

Crystal Palace — 8-Season Recruitment ROI Analysis

Football Analytics

Independent analysis of 47 permanent signings (2017–2025) — usage efficiency, value gain/loss, and where recruitment spend stops delivering return.

ApproachFormula-driven Excel model (SUMIFS/COUNTIFS/AVERAGEIFS) linking season-by-season usage to transfer outcomes — visualised as an interactive Tableau story with honest limitations and recommendations.

€529.6mfees analysed
+€163.4mnet value created
47signings · 8 seasons
View story GitHub
Python — Nike FY2025 → FY2026

FY2025 diagnosis · FY2026 outlook

3FY26 scenarios
$42.6–47.2BFY26 range

Nike FY2025 Performance & FY2026 Outlook

Financial Analysis

Broke down Nike’s FY2025 revenue and profitability decline from its official 10-K — by region, product, channel and consumer segment — and reconstructed the full gross-margin bridge.

ApproachPython (pandas, matplotlib) financial-statement analysis — built three transparent, assumption-based FY2026 scenarios ($42.6B–$47.2B) rather than a fitted statistical forecast.

10-Kprimary source
4segment lenses
3FY26 scenarios
View on GitHub
Python — Winamax Financials

Profit vs revenue growth · 2022–2025

+65%Net income
+27%Revenue

Winamax — Profit Outgrowing Revenue

Financial Analysis

At French betting platform Winamax, net income grew 65% while revenue grew only 27% (2022–2025) — margin expansion during aggressive headcount growth, plus a structural cash edge from negative working capital.

ApproachPython (pandas, matplotlib) analysis of official French company filings — sourcing private-company financials and tracing exactly where the profit-over-revenue gap comes from.

+65%net income
+27%revenue
2022–25period
View on GitHub
Tableau — Championship Attendance Analysis

MODEL VS REALITY

Predicted vs. actual fill rate, by club
— 2025/26 EFL Championship

0
Clubs overperformedMore than 3pp above model prediction
0
Clubs as expectedWithin 3pp of model prediction
0
Clubs underperformedMore than 3pp below model prediction
Avg. fill rate Avg. predicted
Recreated in code from the published Tableau dashboard — same data, retina-crisp.
Power BI — WC2026 Hidden Transfer Gems

WORLD CUP 2026 — HIDDEN TRANSFER GEMS

A data-driven scouting shortlist using performance analytics and market value modelling.

0Players analysed
0Countries analysed
53.85Overall score
25.57Performance score
85.23Value score
55.16Age score
PlayerCountryAgeValue (€M)Score ↓
Julio Enciso🇵🇾 Paraguay2225.074.60
Crysencio Summerville🇳🇱 Netherlands2435.071.50
Deniz Undav🇩🇪 Germany2922.070.80
Nestory Irankunda🇦🇺 Australia208.067.70
Brian Brobbey🇳🇱 Netherlands2430.067.10
Folarin Balogun🇺🇸 United States2440.066.50
📊 584 players🌍 48 nations🏆 FIFA World Cup 2026FBref × Transfermarkt
Recreated in code from the live Power BI report — forwards view shown, data as published.

Applied practice

Job Simulations

Short, employer-authored simulations — completed via Forage.

via Forage

British Airways — Data Science Job Simulation

Completed August 2, 2026

  • Completed a simulation focussing on how data science is a critical component of British Airways’ success.
  • Scraped and analysed customer review data to uncover findings.
  • Built a predictive model to understand factors that influence buying behaviour.
via Forage

Deloitte Australia — Data Analytics Job Simulation

Completed August 2, 2026

  • Completed a Deloitte job simulation involving data analysis and forensic technology.
  • Created a data dashboard using Tableau.
  • Used Excel to classify data and draw business conclusions.

How I work

Curious by nature.
Data‑driven by choice.

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

  • Analytical thinking
  • Problem solving
  • Data storytelling
  • Continuous learning

Learning

Education

Degrees and programmes deepening my analytics and football data expertise.

In Progress · Expected Jun 2027

MSc International Business with Data Analytics

University of Ulster · Manchester, UK

Postgraduate degree combining international business strategy with applied data analytics.

Focus

Business strategy Data analytics
In Progress

Football Analytics MSc

UCAM · Sports Data Campus — Spain (Online)

Specialist master’s in football data analysis, delivered online through UCAM and Sports Data Campus.

Focus

Football analytics Sports data
In Progress

GCI World 2026

Matsuo Laboratory

Data-science programme focused on strengthening Python and applied data-science skills.

Focus

Python Data science
Completed · 2021

Bachelor’s Degree, International Law & Legal Studies

Université Ibn Tofaïl

Key skills

  • Analytical and critical thinking
  • Legal and business research
  • Evidence evaluation
  • Risk and compliance awareness
  • Structured problem-solving
  • Written reporting and presentation
  • Attention to detail
  • Interpretation of complex information
  • Communication and argumentation
  • Ethical decision-making

Credentials

Certificates

Completed coursework with the skills each one covered.

Completed

AI for Data Analysis

Google

Applying AI tooling to practical, everyday data-analysis workflows.

Skills learned

AI for analytics Data analysis
Completed

What Is Generative AI

LinkedIn Learning

Foundations of generative AI and where it earns a place in business.

Skills learned

Generative AI Artificial intelligence
Completed · Jul 2026

Career Essentials in Data Analysis

Microsoft & LinkedIn

The Microsoft and LinkedIn learning path on the foundations of working with data.

Skills learned

Data analysis Data visualisation
Completed · Aug 2026

Applied Football Analytics: Real-World Cases

Real Madrid Graduate School · Universidad Europea (Coursera)

Applying analytics to real match, performance and recruitment cases from elite football.

Skills learned

Football analytics Case studies
Completed · Aug 2026

Introduction to Talent Identification

The FA Learning · England Football

The FA’s principles for identifying, evaluating and developing football talent.

Skills learned

Talent identification Scouting
Completed · Aug 2026

An Introduction to Talent Identification

FIFA Training Centre

FIFA’s framework for spotting and nurturing playing talent across the game.

Skills learned

Talent identification Player scouting

Toolkit

Skills & tools

The stack behind the dashboards — practised daily, growing deliberately.

Analytics & BI

Interactive reporting and dashboarding that people actually use.

Power BI Tableau Excel Power Query

Programming

Querying, modelling and automating the analysis pipeline.

Python SQL DAX

Data libraries

Wrangling, exploring and visualising data in notebooks.

Pandas NumPy Matplotlib

Tools & workflow

Versioned, reproducible work from notebook to publication.

Git GitHub VS Code Jupyter
Anouar Lacheheb

Let’s build insights that drive impact.

I’m always open to a conversation about data, analytics or football business.

Contact me

Gmail LinkedIn GitHub