Data Analytics & Digital Solutions Specialist

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

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