> Markdown version of [/jobs/ext/3610879-data-ai-project-analyst-byd-denza-belux](https://www.wearedevelopers.com/jobs/ext/3610879-data-ai-project-analyst-byd-denza-belux). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data & AI Project Analyst - BYD & Denza BeLux

- **Company:** BYD Europe
- **Location:** Brussel, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Power BI, Tableau (Software), Microsoft Power Automate, Zapier
- **Published:** October 8, 2026
- **Apply:** https://www.adzuna.be/details/5917848439

## About the Role

* Education: Bachelor's or Master's degree in data, business information systems, business analytics or equivalent.

 * Experience: 2 to 5 years in data analysis, business analysis or project management.

 * Tools: Proficiency in BI tools (Power BI, Tableau) and advanced Excel. Good knowledge of AI tools (GenAI, automation tools such as Power Automate or Zapier).

 * Languages: French and/or Dutch, plus professional English (Belgian and Luxembourg context, and exchanges with headquarters).

 * Autonomy: Able to work independently with a wide range of contacts, from the field to management.

 * Mindset: Service-minded, a good teacher and a self-starter.

## Description

As part of our digital transformation, BYD BeLux is creating a cross-functional role dedicated to making the most of our data and to deploying AI solutions for all departments. As Data & AI Project Analyst, you are the central point of contact to identify, prioritize and deliver high-impact data and AI projects, whichever department asks for them. You report to the Country Manager and work across Belgium and Luxembourg with Sales, Aftersales, Marketing, Finance, HR and more.

 1. Data & reporting (30%)

 * Design and roll out consolidated dashboards (for example sales and aftersales reporting) giving real-time access to key indicators.

 * Collect, clean and make reliable the data coming from our different systems (CRM, ERP, internal files).

 * Automate recurring reporting processes.

 2. AI solutions deployment (30%)

 * Keep a close watch on AI tools and use cases relevant for an automotive national sales company.

 * Test, select and deploy AI tools (automation, GenAI, predictive analysis) based on the needs identified.

 * Measure the impact of the solutions deployed (time saved, ROI).

 3. Cross-functional project support (25%)

 * Support data and AI projects in any department, based on the priorities set together with management.

 * Coordinate stakeholders (business teams, IT, external providers).

 * Follow up planning and report on project progress.

 4. AI culture & training (15%)

 * Train and support the teams in using the tools deployed.

 * Centralize and share AI best practices across the organization.

 * Raise awareness in all departments of automation opportunities.