Data Analyst

Roche


Job Location:

Madrid - Spain

Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

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 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 Roches vision.

The Role

As a Data Analyst you will be the critical link between complex business challenges data consumers and technical data 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 consumersincluding Data Scientists BI Experts Senior Leaders and automated applicationsto 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.

Key Responsibilities

  • 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.

Who You Are

  • Education: Bachelors or Masters 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.

Who we are

A healthier future drives us to innovate. Together more than 100000 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.


Lets build a healthier future together.

Roche is an Equal Opportunity Employer.


Required Experience:

IC

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...

About Company

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F. Hoffmann-La Roche AG is a Swiss multinational healthcare company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has bearer shares listed on the SIX Swiss Exchange. The company headquarters are located in Basel.

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