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Madrid, Comunidad de Madrid, España
Onsite
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 PT Digital & Operational Excellence (PTE) organization works in partnership across major global business functions, establishing and implementing an overall Digital / Technology strategy. Our goal is to drive the delivery and scale of key data and digital solutions in support of Roche’s vision.
As a Data Analyst, you will be the critical link between complex business challenges, data consumers, and technical data solutions. In this role, you will not only profile and analyze data but will also act as the operational engine for our data product suite. You will own the visual management of data product performance, and manage the end-to-end maintenance and support lifecycle. By ensuring data products are highly visible, measurable, and reliably supported, you enable diverse consumers—including Data Scientists, BI Experts, Senior Leaders, and automated applications—to unlock maximum value from our data assets.
Working within a multidisciplinary team alongside Data Domain Leads, Data Product Owners, SMEs, and Data Engineers, you will ensure our data products remain high-performing, well-maintained, and aligned with global governance standards.
Data Profiling & Requirements Translation: Utilize SQL and Python to extract, profile, and analyze source data to support feature development and data cleansing initiatives. Translate complex business rules into technical analytical specifications for the engineering team.
Integrity, Compliance & Quality: Ensure all data products meet rigorous data integrity, security, and validation standards. Collaborate with the Validation Lead and Tester to define acceptance criteria and design test layouts.
Data Exploration & Discovery: Conduct deep-dive data exploration and review prospective data sources during data product development in close collaboration with the Data Domain Lead (DDL) to assess viability, identify data quality constraints, and uncover hidden value.
Collaborative Data Modeling: Contribute actively to conceptual and logical data modeling efforts, partnering closely with the Data Product Owner (DPO) and the architectural team to design schemas that support diverse downstream user needs.
Standardization, Contracts & Lifecycle Documentation: Contribute to data standardization initiatives to ensure portfolio scalability. Define, implement, and maintain formal data contracts alongside up-to-date data dictionaries and metadata layers so consumers understand exactly what data is available, its expected schema, and how to safely use it.
Performance & Visual Management: Design, build, and maintain data product monitoring dashboards (e.g., using Tableau or PowerBI). Track and visually report on Data Quality KPIs, product adoption metrics, system latency, and user satisfaction to provide transparency to senior leadership and consumers.
Maintenance & Support Management: Serve as the primary point of contact for data product operational support. Lead incident management efforts, conduct root-cause analysis for anomalies or pipeline failures, evaluate business impact, and coordinate with Data Engineers to deploy hotfixes and changes.
Education: Bachelor’s or Master’s degree in Pharmacy, Biotechnology, or a related field.
Pharma & Quality Expert: You possess 5+ years of experience in Pharma Technical Operations and have a proven track record in project-based work within the pharmaceutical industry, including knowledge of regulatory requirements (e.g., GMP, FDA) and Quality systems.
Analytical & Visual Architect: Highly proficient in data visualization tools (Tableau, PowerBI) and intermediate to advanced SQL / Python for data extraction and transformation. Ability to relate complex data sets to logical structures.
Systems Fluency: Familiarity with business-facing systems such as SAP, SAC, ELN, LIMS, MES, or LES is a major plus.
Operations & Agile Mindset: Experienced in handling application support, incident management, and change control. Fluent in Agile delivery methodologies and tools like Jira or HP ALM.
Strong Communicator: Exceptional stakeholder management and communication skills (fluent English), with the ability to present complex data product performance metrics clearly to senior executives and technical consumers alike.
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.