Automotive Data Analyst — Hybrid (50% Remote)

Msx International; Madrid; Híbrido; EUR 42.000 - 60.000; Jornada completa

Descripción de la vacante

Roche seeks a Data Analyst to be the bridge between business challenges, data consumers, and technical data solutions. You will profile and analyze data, manage the data product lifecycle, and maintain dashboards for leadership visibility.

You will collaborate with Data Domain Leads, SMEs and Data Engineers to ensure high-performance data products, governance alignment, and comprehensive metadata. Proficiency in SQL and Python is essential; Tableau/PowerBI experience is valued.

Formación

• Experience profiling, translating business rules into analytical specs.
• Knowledge of data integrity, security, and validation.
• Experience with data modeling and governance collaboration.

Responsabilidades

• Data profiling, requirements translation and data cleansing using SQL and Python.
• Ensure data integrity, security and quality; define acceptance criteria with Validation Lead.
• Perform data exploration and assess data sources for product development with the DDL.
• Collaborate on conceptual/logical data modeling with the Data Product Owner and architecture team.
• Maintain formal data contracts, dictionaries and metadata for consumer clarity.
• Design and maintain data product dashboards (Tableau/PowerBI) and report Data Quality KPIs.
• Lead incident management and coordinate with Data Engineers for hotfixes.

Conocimientos

SQL

Python

Data analysis

Dashboarding

Herramientas

Tableau

PowerBI

Data Modeling Tools

Descripción del empleo

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 Roche's vision.
**The Role**
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.
**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.