Expert reporting 3PL

Bpost; Brussel; Hybride; EUR 52 000 - 76 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

Insurance (hospitalization, group and/

Phone subscription

Flexible remuneration plan

Company car/bike

Remote work option

Résumé du poste

Bpost is seeking a data analytics professional to join the Group Performance team in Belgium. You will build Power BI reports, write DAX and M transformations, and work with ERP, CRM, and WMS data to deliver actionable insights for finance and operations.

You will apply AI tools to automate tasks, summarize notes, and prototype lightweight AI-powered workflows, while collaborating with multiple subsidiaries in a small, autonomous team.

Qualifications

• Master's degree in data analytics, CS, finance, economics, or related field.
• 2–5 years of relevant experience.
• Comfortable with messy data and translating questions into analyses.
• Demonstrated daily use of LLM tools in a working context.

Responsabilités

• Build and maintain Power BI reports for group-wide and subsidiary use cases.
• Author and review DAX measures and Power Query / M transformations.
• Work with ERP/CRM/WMS/SharePoint data and document models.
• Provide ad-hoc analyses for CFO, CEO, and country teams.
• Explore AI-augmented workflows to save time and improve insights.

Connaissances

Power BI

DAX

Power Query / M

SQL

Excel

AI tools

Analytical thinking

Communication

Autonomous work

Formation

Master's degree in a relevant field

Outils

Power Automate

SharePoint

Microsoft Fabric

LLM APIs

Description du poste

What will you do?About the roleWe 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 responsibilitiesReporting 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 analysisSupport 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 workingUse 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 improvementDocument 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 foundationMaster'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.TechnicalWorking 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 fluencyGenuine 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 skillsStrong 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.LanguagesEnglish 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 dayHospitalization-, group- and disability insurancesA phone subscription, including 25GB dataA flexible renumeration plan, which allows you to customize your own benefits. A company car, bike leasing, public transportation, extra days off,... the choice is yoursPossibility to enter the Federal Mobility planWork/life balance, thanks to flexible working hours and the possibility to work from home20 days of statutory leave and 7 additional extralegal days offAn end-of-year and performance-based bonus and double holiday payMany benefits from more than 100 Bpost-partners#Bpost #Bnode #LI-BP1Back to job list