20 meilleures offres (logistic data expert, brussels, bru) (à pourvoir)

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Expert reporting 3PL

bpost -
Bruxelles

Soumettre votre candidature

Détails de l'emploi

Avantages

Voiture de société
Chèques repas
Travail à domicile

Qualifications

Français
Informatique
Power BI
Microsoft Excel
Systèmes PGI
Logistique
Système de gestion d'entrepôt
Anglais
3PL
Master
SQL
SharePoint
APIs
IT

Description complète du poste

What will you do?

About the role

We are a multi-country 3PL group with subsidiaries across Europe and the US, operating with heterogeneous systems and varying levels of data maturity. The Group Performance team builds reporting and analytical capability across the group, covering customer profitability, commercial pipeline, operational revenue, and transport margin.

You will join a small central team supporting the Performance Manager on group-wide and subsidiary-specific reporting work. The role is hands-on: most of our reporting today runs on Power BI, with data sourced from a mix of ERP exports, CRM, Warehouse Management System (WMS), and SharePoint files. We are at the early stages of modernising how we work, including how we leverage AI tools to be more productive and tackle previously unanalysable data (free-text CRM notes, operational comments, transport documentation).

This is a strong fit for someone who is genuinely curious about applying AI tools to real business problems, but who is also a solid analyst: most of the work is, and will remain, analytical. We care more about how you think than your exact years on paper.

Key responsibilities

Reporting and analytics (the core of the role, ~60-70% of time)

Build and maintain Power BI reports across group-wide and subsidiary-specific use cases: customer profitability, commercial pipeline (CRM), operational revenue, transport margin.
Author and review DAX measures and Power Query / M transformations.
Work with data from a variety of sources (ERP, CRM, WMS, SharePoint, occasional cloud warehouses) and document the resulting models.
Translate business questions into analytical deliverables, working directly with finance, commercial, and operational stakeholders across subsidiaries.

Ad-hoc analysis

Support ad-hoc analytical requests from the CFO, CEO, and country teams (margin deep-dives, profitability questions, scenario analyses).
Bring structure and clarity to questions that arrive as vague briefs.

AI-augmented ways of working

Use LLM tools as part of daily work: drafting DAX and M, summarising meeting notes, automating repetitive analytical tasks, accelerating documentation.
Identify opportunities to apply AI tools to specific problems. For example, extracting structured signals from unstructured CRM notes, summarising operational free-text fields, parsing transport invoices, drafting commercial commentary on variance.
Prototype lightweight AI-powered tools where they bring clear value. We are not building production ML systems; we are building practical tools that save analytical time or unlock previously unanalysable data.

Continuous improvement

Document and share working methods with the broader finance community across subsidiaries.
Contribute to discussions on data architecture and tooling as we mature.

Who are you?

Analytical foundation

Master's degree in a relevant field (data analytics, computer science, finance, economics, business engineering, or equivalent).
2-5 years of relevant experience.
Comfortable working with messy data and translating business questions into analyses.

Technical

Working proficiency in Power BI (DAX, Power Query / M), or demonstrated capacity to get there quickly.
SQL fundamentals.
Excel at an advanced level (you will use it more than you expect).

AI fluency

Genuine daily use of LLM tools in a working context (study, internship, side projects). We are not looking for "AI enthusiasm" - we are looking for someone who has actually used these tools to do real work and has formed views on what they are and are not good at.
Curiosity about applying AI tools to business problems, with a builder mindset rather than a theorist mindset.

Soft skills

Strong written and verbal communication. You will be writing for finance directors and country managers, not just other analysts.
Comfort working autonomously with limited supervision in a small team.
Organisational sensitivity: working across subsidiaries means navigating different local ownership, priorities, and definitions. Diplomatic skills matter.

Languages

English required (working language of the group).
French and / or Dutch nice-to-have given the Belgian base.
Additional European languages a plus.

Nice to have (not required)

Exposure to finance reporting (P&L, margin analysis, cost allocation).
Experience with logistics / supply chain / 3PL business is a strong plus but not required: we will teach the business.
Familiarity with Power Automate, SharePoint, or Microsoft Fabric / dataflows.
Hands-on experience building anything with LLM APIs (even a personal project counts).
Statistical or ML background - useful for context, though it is not what we will ask the person to do day-to-day.

What do we offer?

Like a long-awaited parcel, we want to make you feel welcome and valued. Our offer includes a competitive monthly salary, that goes without saying. On top of that, you can count on:

Meal vouchers of €8 per working day
Hospitalization-, group- and disability insurances
A phone subscription, including 25GB data
A flexible renumeration plan, which allows you to customize your own benefits. A company car, bike leasing, public transportation, extra days off,... the choice is yours
Possibility to enter the Federal Mobility plan
Work/life balance, thanks to flexible working hours and the possibility to work from home
20 days of statutory leave and 7 additional extralegal days off
An end-of-year and performance-based bonus and double holiday pay
Many benefits from more than 100 Bpost-partners

#Bpost #Bnode #LI-BP1

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logistic data expert emplois - brussels, bru

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : logistic data expert (brussels, bru)

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