Responsibilities:
- Collect & prepare data: Extract from PLC/SCADA/MES systems and ensure data quality.
- Analyze & model: Run descriptive/diagnostic/predictive analytics and build statistical models.
- Visualize insights: Create dashboards, KPIs, and reports for engineering and operations teams.
- Support improvement: Track production KPIs (OEE, yield, downtime) and contribute to RCA/Lean/Six Sigma work.
- Collaborate & implement: Partner with engineers and operators to deploy analytics solutions and pilot tools.
Requirements:
- Bachelor’s degree in Engineering, Data Science, Statistics, or similar.
- 4+ years industrial analytics experience (manufacturing, production, or operations).
- Strong analytics toolkit: Python/R/SQL plus Power BI/Tableau/Grafana.
- Industrial data experience: PLC, SCADA, OPC‑UA, MES.
- Solid statistical skills: regression, hypothesis testing, forecasting.
- Detail‑oriented, structured problem‑solver.
Nice to have:
- Master’s degree or experience with IoT, cloud analytics, or big‑data tools.
- Lean/Six Sigma knowledge and familiarity with ERP/PLM integration.
We offer:
- Full time position with an employment contract and attractive salary
- Flexible working hours and remote work options.
- Learning and development opportunities, including training, mentoring, and coaching.
- Access to challenging, cross-border projects in a stable and growing engineering group.
- Collaborative, international, and supportive team environment.
Please submit your CV in English through the system containing your salary expectation and also the earliest possible start date.
