Reliability Engineer, Data Analytics

About the role

Konecranes Reliability Center is looking for a Reliability Engineer, Data Analytics in Hyvinkää to strengthen its team. The role helps improve product reliability, supports product development and generates business insights by analysing data from products, services, testing and field operations. Previous experience is beneficial but a willingness to learn quickly is most important.

Key responsibilities

• Analyse reliability, service, usage and testing data from various sources
• Develop insights supporting product development, the service business and quality improvement
• Take part in reliability investigations, root cause analyses and claim assessments
• Support predictive maintenance and reliability modelling initiatives
• Create reports, visualisations and presentations for data-driven decisions
• Collaborate with product development, service, quality and other functions
• Help develop Konecranes' reliability analytics capabilities

Required profile

• Master's degree in Data Analytics, Computer Science or another engineering field
• A few years of experience in product-related big data analytics or machine industry product knowledge
• Strong analytical and problem-solving skills
• Quick learner of new tools, technologies and business domains
• Good English communication skills

Required skills

• Advantageous: statistical analysis, machine learning, data-based forecasting and data visualisation
• Advantageous: Databricks, Python, SQL, Power BI and Git
• Advantageous: IoT and time series data

Applications must be sent in English by 8 November 2026.