BI · finance · AI

LinkedIn / professional profile

Ludovic Delot

Business intelligence, automation and applied AI.

I build data products that help teams move from fragmented information to decisions they can trust: semantic models, reporting systems, operational automation and human-reviewed AI workflows.

Ludovic Delot, Business Intelligence professionalBI / BUILDING USEFUL SYSTEMS
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Target roles

Where I create the most leverage.

BI ManagerBI leadership · KPI governance · data products
Analytics / BI ProductOwnership · modelling · adoption · stakeholders
AI & AutomationApplied AI · workflow redesign · human review

Organisations & brand context

The business environments behind the work.

Experience across luxury and beauty, retail, consumer goods, finance and higher education. Brand names are shown as professional context only; internal systems, data and repositories remain private.

Luxury / beautyLVMH

Commercial BI, reporting products and automation across international luxury operations.

LOEWE · Acqua di Parma · Dior · Guerlain
Retail / financeEl Puerto de Liverpool

Finance automation, ROI analysis and business analysis inside a large-scale retail environment.

Digital CoE · automation · data governance
Consumer goods / supply chainGroupe SEB

CPFR, forecasting, inventory and coordination across consumer-goods operations.

Retail planning · forecasting · analytics
Education / leadershipTecnológico de Monterrey

Business Intelligence leadership, storytelling and communication alongside academic foundations.

BI leadership · communication · data storytelling

Executive snapshot

Business first. Structure second. Tools where they help.

More than four years across Mexico, France and Spain, working at the intersection of commercial questions, finance, supply chain and technical delivery.

My range is intentionally end-to-end: requirements, KPI definitions, data modelling, ETL, Python, Power BI, QA, documentation, stakeholder communication and adoption.

The public portfolio shows inspectable technical work. Confidential experience is described through scale, contribution boundaries and evidence level.

4 → 20+Power BI reports scaled
25tables in a semantic model
348stores connected in one workflow
30countries represented
11automated QA checks

Evidence key

Numbers with their level of certainty.

MeasuredBefore/after workflow comparison with a defined review boundary.
DocumentedScale or architecture recorded in a project snapshot or public repository.
ModelledCapacity scenario with assumptions visible; not a consolidated realised saving.

Experience

The roles behind the systems.

Prioritised for BI, analytics leadership and applied AI conversations.

2026 → now

Data & BI Intern · luxury retail

Cross-market commercial BI, KPI governance, Power BI modelling, automation and applied AI in an international luxury environment.

Power BI · DAX · Python · KPI governance
2025 → 2026

Commercial Business Analyst Trainee · luxury retail

Owned the evolution of a reporting product from its first dashboards to a reusable operating model for commercial decisions.

4 → 20+ reports · 25-table model · forecasting
2024 → 2025

Automation Business Analyst · large-scale retail

Connected finance questions with ROI analysis, data governance and repeatable automation inside a Digital CoE context.

Finance · ROI · automation · stakeholder work
2024

National CPFR Supply Chain Data Analyst · consumer goods

Worked across forecasting, inventory and commercial coordination at supply-chain scale.

25,000+ SKU-Stores · 300+ points of sale · CPFR
2022 → 2025

Leadership & communication · Tecnológico de Monterrey

President of Business Intelligence and Storyteller / Communications work — the foundation for explaining technical work to people who need to use it.

Leadership · storytelling · communication

Capability system

What I bring to a team.

01

Business intelligence

Power BI, DAX, semantic models, KPI design, commercial reporting and forecasting.

02

Data foundations

SQL, Python, ETL, data quality, mappings, documentation and repeatable operational workflows.

03

Product ownership

Requirements, stakeholder alignment, adoption, review gates and turning a report into a tool people return to.

04

Applied AI

Claude Code, LLM APIs, MCP, context design, human review and reproducible developer workflows.

Credentials & foundations

Signals beyond the job titles.

EducationInternational management & finance

Business, finance and international perspective behind the technical work.

CertificationsAzure AI Fundamentals · Claude 101 · Claude Code 101 · Salesforce AI Associate

Structured learning across AI, business systems and applied tooling.

LanguagesSpanish · English · French

Experience working across Mexico, France, Spain and international teams.

Public proofPower BI · SQL · TypeScript · MCP repositories

Inspect the technical craft through public GitHub work.

Next conversation

Looking for someone who can connect the business question, the data system and the next decision?

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