Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Data Analyst - Procurement

Location: Budapest, Hungary

Team: Information Technology / Chemical Analysis Division (CAD)

Why this role matters

You will transform procurement and operational data into decisions that save money, reduce supplier risk, and speed up product launches. Your analysis will direct sourcing choices, impact leadership, and safeguard revenue throughout global supply chains. Join us to be part of a world-class team and contribute to our ambitious goals!

Responsibilities:

• Identify and size savings and risk-reduction opportunities for CAD.
• Produce executive-ready analytics and dashboards that drive sourcing and NPI decisions.
• Automate reporting so teams get reliable insights faster.
• Build and maintain self-service dashboards and executive reports (Power BI / Tableau / Looker).
• Own end-to-end data workflows: extract, clean, transform, validate and document sources from ERP, PLM, QMS, TMS, and others. Use SQL and ETL tools.
• Produce recurring and ad-hoc analyses: spend & savings, TCO, supplier performance, lead-time and risk scoring, tariff and inflation exposure, and scenario modeling.
• Build forecasting and scenario models (demand, inventory, supplier capacity) and run sensitivity / what-if analyses.
• Automate manual reports, remove error-prone Excel procedures, and document data lineage and assumptions.
• Lead analytics projects for senior leaders and present clear recommendations with trade-offs.
• Support category teams: size opportunities, prioritize actions and prepare supplier business reviews.
• Be the reporting SME for Procurement analytics: promote dashboards and build user confidence.
• Mentor junior analysts and review their work to raise team capability.
• Partner with Finance, Category Leads, Quality, Engineering and IT to align assumptions and embed analytics into decision points (NPI gates, supplier selection, contract renewals).
• Apply statistical methods and practical machine learning (segmentation, anomaly detection, regression) when it adds customer value.
• Define and protect canonical datasets; track data confidence and lineage.

Quallifications

• Bachelor’s degree (Data Science, Statistics, Engineering, Computer Science, Economics, Mathematics, Business Analytics or related) or equivalent experience.
• 4+ years of hands-on analytics experience
• Strong SQL skills (complex queries and performance tuning).
• Experience demonstrating skills with BI tools (Power BI, Tableau, Looker) and dashboard development.
• Proficiency in Python or R for data manipulation and modeling (pandas, numpy, scikit-learn preferred) is a plus.
• Advanced Excel skills (pivot tables, advanced formulas, modeling).
• Experience building automated reports and describing data lineage and assumptions.
• Clear communicator able to present to senior partners and translate insights into actions.
• Experience supporting Procurement, Supply Chain, NPI or Supplier Quality analytics.
• Knowledge of SPC, process capability, or warranty/field-failure analytics.
• Familiarity with SAP/Oracle, Snowflake/Redshift, dbt or Airflow.
• Experience with automation tools (Alteryx, KNIME) and version control (Git).
• Exposure to forecasting and anomaly detection models.
• Background in life sciences, analytical instruments or regulated manufacturing.
• Certifications: CBIP, Microsoft Data Analyst, Tableau Certified or similar.

Skills & behaviors we value

• Put the customer first: build usable analytics that answer real questions.
• Own your results: deliver accurate, timely, and well-documented work.
• Improve continuously: favor automation and pragmatic process changes.
• Be curious and rigorous: test assumptions and report confidence.
• Collaborate and influence: work across functions without formal authority.
• Act with integrity: protect sensitive data and maintain audit-ready records.
• Thrive in ambiguity: support fast paced NPI and procurement cycles.