1 ΠΌΠ΅ΡΡΡ Π½Π°Π·Π°Π΄
Data Analyst (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Data Analyst (AI) (SQL/Azure): Designing, implementing, and optimizing scalable cloud-based data solutions, pipelines, and analytics platforms that convert complex business requirements into actionable insights with an accent on data modeling, governance, and AI-enabled workflows. Focus on modernizing enterprise data landscapes, building reliable Azure-based platforms, and aligning technical solutions with business needs.
Location: Brussels/Flanders, Belgium
Company
provides end-to-end corporate technology and software solutions across Europe and operates in 30 countries with more than 51,000 colleagues.
What you will do
- Design, implement, and optimize scalable cloud-based data solutions for client organizations.
- Translate complex business requirements into technical data solutions and align business and IT stakeholders.
- Transform complex data landscapes into reliable data pipelines, analytics solutions, and modern cloud platforms.
- Contribute to data strategy, governance, architecture, integration, modeling, and migration initiatives.
- Support reporting, analytics, AI use cases, and better business decision-making across finance, utilities, and energy projects.
Requirements
- At least 3 years of experience as a Technical Data Analyst, Data Engineer, or in a similar enterprise data role.
- Strong SQL and relational database skills, with knowledge of data warehouses and modeling concepts such as Kimball, Snowflake, SCD, or Data Vault.
- Hands-on experience with Microsoft Azure services, including Databricks, Data Factory, Fabric, Data Lake, or Azure DevOps, or equivalent cloud platforms.
- Experience using or implementing AI in internal or client workflows.
- Strong analytical, problem-solving, communication, business analysis, and stakeholder collaboration skills.
- Proficient English and required knowledge of Dutch and/or French. Experience with Agile, Scrum, or Kanban is also required.
Nice to have
- Experience with Power BI or similar data visualization tools.
- Programming experience with Python, PySpark, or similar data-processing languages.
- Experience designing, developing, and maintaining data pipelines and ETL workflows.
Culture & Benefits
- Work in the Data Platform Modernisation Practice within the Data & AI team in a collaborative, agile environment.
- Five mandatory training days each year and access to the Academy.
- International network of experts, technical deep dives, coaching, and knowledge sharing.
- Indefinite contract, competitive salary, company car or mobility budget, and comprehensive insurance coverage.
- 32 paid days off, plus a laptop, phone, and mobile subscription.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β