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