Business Technical Analyst - Assets Insights Team

About the role

The Asset Insights team drives Roche's digital strategy and IT portfolio optimization, making IT costs and usage transparent through showback (cost transparency) and software asset management platforms covering on-premise and SaaS assets. As a Technical Analyst, you will lead small to medium initiatives, prioritize with stakeholders and keep a big-picture view of how components fit the overall strategy. You will analyze complex business problems, recommend automated solutions, improve processes, optimize system configurations, develop test strategies, lead cross-functional teams and design system integrations.

Key responsibilities

• Build and maintain automated data pipelines that give real-time insight into IT asset expenditure, software utilization and cost optimization across on-premise and SaaS platforms.
• Ensure data integrity and policy compliance through automated quality checks and Tableau data governance dashboards.
• Drive the implementation and governance of corporate AI tools, automate pipeline development and mentor engineering peers on AI best practices.
• Act as the main technical liaison between stakeholders and data engineering teams, turning business goals into detailed requirements and scalable data architectures.
• Design, integrate and configure asset platforms such as ServiceNow CMDB, Zylo or USU/LIMA.
• Maintain system documentation and mentor colleagues to raise analytical methods and team productivity.

Required profile

• Proactive, growth-minded engineer who enjoys solving complex, ambiguous technical challenges in an international team.
• 3 to 7 years of experience in the software development lifecycle, preferably in a multinational or healthcare corporate environment, with a technical degree or equivalent practical experience.
• Effective oral and written English, ability to work across time zones and occasional travel.

Required skills

• Source code management tools such as GitLab, GitHub or Bitbucket, and automated deployment pipelines.
• Infrastructure as Code and configuration management tools such as Terraform, Ansible, Vault or Consul.
• Containers or Kubernetes environments.