Procurement Analytics Engineer

Vestas; Aarhus; On-site; DKK 523,000 - 822,000; Full time

Job summary

Vestas in Aarhus, Denmark is seeking a Procurement Intelligence professional to design scalable data solutions that drive analytics and strategic decisions across the procurement landscape.

You will own data pipelines, governance, and BI initiatives, partnering with global stakeholders to translate requirements into scalable data architectures and insights using Snowflake, SAP Analytics Cloud, and Power BI.

Qualifications

• Master's degree or equivalent in a relevant field (Business, Engineering, Supply Chain, Economics, Finance, BI).
• Proven experience in data engineering, analytics, or similar data-focused roles.
• Ability to translate business requirements into data/analytics solutions and understand procurement/supply chain processes.

Responsibilities

• Own and evolve the procurement data landscape by understanding data sources, flows, and dependencies.
• Design, optimize, and manage data pipelines using Snowflake.
• Provide high-quality, accessible data for analytics to guide stakeholders and develop BI initiatives.
• Partner with global and regional procurement stakeholders to translate requirements into scalable solutions.
• Drive continuous improvement to data quality and automate processes across the procurement data ecosystem.
• Support data needs with guidance, troubleshooting, and analytical solutions for informed decisions.
• Bridge business and technology teams to align data architecture, governance, and analytics requirements.

Skills

SQL

Snowflake

Power BI

Data governance

Data modeling

Education

Master's degree

Tools

Snowflake

SAP Analytics Cloud

Job description

Vestas in Aarhus, Denmark is seeking a Procurement Intelligence professional to design scalable data solutions that drive analytics and strategic decisions across the procurement landscape.

You will own data pipelines, governance, and BI initiatives, partnering with global stakeholders to translate requirements into scalable data architectures and insights using Snowflake, SAP Analytics Cloud, and Power BI.