Performance & Analytics specialist

Job Description

The opportunity: To develop and manage global Operations Performance and Analytics processes, systems, and reporting across all Business Lines, ensuring effective implementation, maturity assessment, and continuous improvement of value chain processes. The goal is to enhance customer satisfaction and drive profitability, all within a safe and efficient working environment at the local business level. How you'll make an impact: Lead and manage the end-to-end lifecycle of data, analytics, and AI projects across Quality and Operations functions globally. Act as a strategic business and technical partner, translating complex business challenges into scalable digital and AI-driven solutions. Own the development and execution of AI/advanced analytics initiatives from idea generation and feasibility analysis to proof of concept, stakeholder validation, deployment, and post-delivery value realization. Manage cross-functional teams and stakeholders through all AI project phases, ensuring alignment on objectives, milestones, timelines, and KPIs. Serve as the business process owner for key analytics platforms including Microsoft Power Platform (Power BI, Power Apps, Power Automate) and Enterprise Data Platform. Deliver automation and intelligence solutions using Power BI and Power Apps, reducing manual workload and enhancing operational efficiency. Drive digital transformation by integrating AI and advanced analytics into business workflows, supported by cloud-based platforms and agile methodologies. Design and deliver strategic insights and data stories to senior leadership and functional heads through compelling visualizations and clear narrative. Develop technical solutions using . NET, SQL, and Azure technologies to integrate and operationalize AI/analytics models within existing business systems. Partner with IT, data science, and business teams to ensure high-quality data pipelines, model deployment, and governance processes. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your background: Graduate or Postgraduate in Engineering, Computer Science, Finance, Business Management, Data Science, Statistics, Mathematics, or related fields. 13-17 years of experience in analytics, PBI, Power apps, AI, digital transformation, or quality/operations-focused business intelligence roles. Minimum 10+ years of experience in Quality and Operations or any other business function. Proven expertise managing Power BI, Power Apps, and automation solutions that integrate AI models and analytics insights. Demonstrated experience delivering AI and machine learning projects end-to-end from ideation and scoping through development, deployment, and impact tracking. Hands-on project management experience with cross-functional teams and multi-region stakeholders. Background in both business process understanding and technical systems architecture. Having strong knowledge in unsupervised Machine learning algorithms using Neural networks and Deep-Learning. Exposure to Microsoft Azure Data Lake, Azure Data Factory, Azure Synapse Analytics. Comprehensive knowledge of data design, data modeling, data management, and data visualization. Excellent analytical skills and strong decision-making abilities. Proficiency in both spoken & written English language is required.