Specialist, Data Analytics & Digital Solutions

We are seeking a highly experienced and versatile Specialist, Data Analytics & Digital Solutions to own, scale, and continuously improve TÜV SÜD’s digital products, analytics platforms, automation systems, and Cloud infrastructure supporting regulated lift and escalator operations. Key Resposibilities Act as end-to-end Product Owner and primary technical owner for TÜV SÜD’s digital platforms, including but not limited to: (1) Remote Monitoring & Diagnostics (RM&D) systems for elevators; (2) Digitalisation platforms relating to Inspection and Permit-To-Operate (PTO); (3) Internal analytics and management reporting tools Define and execute a product roadmap that expands feature capabilities, reduces technical debt from legacy systems and improves internal stakeholder experience and regulatory outcomes Balance short-term operational needs with long-term architectural sustainability Design and maintain advanced analytics dashboards to support inspection performance and productivity tracking, operational and manpower planning and management decision-making and strategic planning Design and build Python-based analytics pipelines on a periodic and ad-hoc basis Enable management to use analytics outputs for resource optimisation, incentive scheme evaluation and client and portfolio strategy development Architect and develop/enhance production-grade applications, using both traditional code-based and low-code/no-code approaches where appropriate Ensure systems are scalable, secure, and auditable in a regulated environment Environment setup, deployment governance, version control and release management Optimise and manage cloud infrastructure (Azure) through architectural tuning and resource optimisation Maintain high system availability, performance, and reliability standards Identify manual, error-prone operational processes and redesign them into fully automated, end-to-end digital workflows Maintain low levels of stakeholder complaints by ensuring rapid issue resolution and system stability Establish SOPs and operational playbooks for long-term sustainability Translate complex technical concepts into clear business-level communication for senior stakeholders Mentor junior team members across analytics, automation, and application development Act as a key knowledge holder for critical digital systems and processes Key Requirement Bachelor’s degree in Computer Science/ IT/ Engineering is mandatory Minimum 3 years of relevant experience across data analytics, software development, digital product delivery, or related fields Strong proficiency in Python for analytics, automation, and application development Experience building data pipelines, dashboards, and automated reporting systems (E.g. Power BI) Experience to low-code/no-code platforms (e.g. Microsoft Power Apps, Power Automate) for rapid application development and workflow automation Expose to Azure DevOps, CI/CD pipelines, Git, Docker Strong stakeholder management and communication skills Strong analytical thinking and structured problem-solving Proven track record of delivering complex projects end-to-end Comfortable bridging technical depth with business and regulatory needs