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IT Data Analyst - RDT Digital Operations and Reliability

Roche
Be an Early ApplicantFull Timemid
MadridPosted Today

Role Overview

Roche is hiring a mid-level IT Data Analyst - RDT Digital Operations and Reliability. This is a full-time role in Madrid. Part of Roche's Data Analysis hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Mid-level Data Analysis roles is $91k-$117k (based on 21 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PythonSQLDevOpsTableauPower BIORITILPerformance Management

Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

The IT Data Analyst is a key specialist responsible for providing data-driven insights to optimize service delivery, operational excellence, and the AI and Automation Roadmap for the Engineering L1 Support Team as part of the Global Operations organization. This role focuses on in-depth analysis of operational data to consistently identify opportunities for efficiency gains, process optimization, and the practical application of AI and Agentic AI solutions in a service-focused environment. You will translate complex metrics into clear, actionable recommendations to support Continuous Service Improvement (CSI).

Responsibilities

  • Data-Driven Opportunity Identification: Continuously analyzes service data (e.g., ticket volume, MTTR, SLAs) to discover patterns, identify the most costly tasks, and actively propose concrete opportunities for automation, efficiency, and "Shift-Left."

  • AI and Automation Roadmap Support: Collaborates with engineering teams to develop data-driven business cases for AI/AIOps initiatives (such as agent implementation) and measures the impact and return on investment of implemented solutions to drive the AI and Automation roadmap.

  • Operational Dashboarding: Designs, builds, and maintains operational performance dashboards, focusing on key metrics that measure service quality beyond traditional SLAs, to increase employee productivity.

  • Process Optimization for CSI: Uses data analysis to foster a culture of Continuous Service Improvement (CSI), standardize complex Level 2 (L2) processes for absorption by the Managed Service Provider (MSP), and clarify operational ambiguities based on data evidence.

  • Stakeholder Communication: Presents data insights and strategic recommendations to Service Owners, the leadership team, and vendors (Vendor Performance Management), ensuring clear and fact-based communication regarding performance and improvement opportunities.

Qualifications

Education / Experience

  • Bachelor Degree or equivalent qualification

  • 2-3 years experience in analyzing operational and service data, with a focus on identifying opportunities for process improvement and efficiency.

  • Knowledge in Service Management (ITIL) and experience in complex managed services environments.

  • Previous experience contributing to Continuous Service Improvement (CSI) initiatives.

Technical Skills

  • Proficiency in data analysis and Business Intelligence (BI) tools for creating dashboards and extracting insights (e.g., Tableau, Power BI, Splunk, DataDog, ServiceNow).

  • Familiarity with AI, Machine Learning, Agentic AI, and AIOps concepts within the context of infrastructure operations or services.

  • Experience using scripting or programming tools for manipulating and analyzing large datasets (e.g., Python, SQL).

  • Understanding of DevOps methodologies and automation best practices to streamline service workflows and reduce manual ticket volume through operational efficiency.

Additional Qualifications

  • Proven ability to work collaboratively on global and interdisciplinary initiatives.

  • A mindset of constantly seeking improvement and efficiency.

 

 

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

About Roche

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Frequently Asked Questions

How do I apply for the IT Data Analyst - RDT Digital Operations and Reliability position at Roche?

Use the Apply button above to submit your application directly to Roche. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the IT Data Analyst - RDT Digital Operations and Reliability position at Roche located?

This position is based in Madrid. Roche has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a IT Data Analyst - RDT Digital Operations and Reliability at Roche earn?

Roche has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the IT Data Analyst - RDT Digital Operations and Reliability role at Roche posted?

This role was posted on July 21, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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