About the RoleWe are seeking a Development Specialist with a strong background in predictive analytics to provide technical leadership in researching and developing data-driven methods to anticipate equipment failures and maintenance needs.Key ResponsibilitiesIdentify breakthrough technologies and solutions that meet client needs or create new market demand.Provide technical consultation to development teams for internal product and solution initiatives.Gather, validate, and consolidate relevant product data from multiple sources to ensure accuracy and integrity.Collaborate across functions to enable proper data tracking and instrumentation for new features and products.Conduct detailed quantitative and qualitative analysis of product performance, user behavior, and market trends.Develop and monitor key product metrics, dashboards, and reports to track performance and detect anomalies.Perform root-cause analysis of product issues and identify opportunities for improvement.Apply statistical methods to test hypotheses and measure the impact of product changes.Translate complex data findings into actionable insights and clear presentations for stakeholders.Deliver data-driven recommendations to inform product strategy, roadmaps, and feature prioritization.Provide coaching and training to engineering teams to share best practices and ensure successful project execution.Support sales teams with technical presentations and proposal reviews when needed.Qualifications (M/F/D)Bachelor's degree in Electrical Engineering, Mechanical Engineering, Data Science, or related field (or equivalent experience).
At least 3 years of experience in data analytics or data science focused on product performance prediction.Proficiency in statistical programming languages and data modeling.Strong problem-solving skills and a track record of driving innovative solutions.Excellent communication, interpersonal, and organizational abilities.Ability to travel up to 20% (domestic and international) on short notice.Preferred QualificationsExperience with power-electronics product analytics.Background in industries such as ports, steel mills, solar plants, or energy storage.Familiarity with financial modeling in the energy sector.Experience using product analytics platforms.