Bilingual Data Analyst (Spanish) - Remote & Growth

Amaris Consulting

Madrid

Remote

EUR 42,000 - 62,000

Full time

14 days+
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Job summary

Roche is seeking a Data Analyst to bridge complex business challenges with technical data solutions. You will profile, analyze, and govern data products while owning their end-to-end lifecycle and visual performance management for dashboards.

You will collaborate with Data Domain Leads and engineers to ensure high data quality, scalable contracts, and dashboards that empower Data Scientists, BI experts, and senior leaders to unlock value from Roche's data assets.

Qualifications

  • Ability to profile, extract and analyze data using SQL and Python.
  • Ensure data integrity, security and validation across data products.
  • Build and maintain dashboards with Tableau or Power BI.

Responsibilities

  • Data Profiling & Requirements Translation: Use SQL and Python to extract and analyze data, translating business rules into analytics specs.
  • Integrity, Compliance & Quality: Ensure data products meet data integrity and security standards and define acceptance criteria.
  • Data Exploration & Discovery: Conduct deep-dive exploration with stakeholders to assess data viability and quality.
  • Collaborative Data Modeling: Contribute to conceptual and logical data models with DPO and architects.
  • Standardization, Contracts & Lifecycle Documentation: Maintain data contracts, dictionaries, and metadata for consumers.
  • Performance & Visual Management: Design and monitor dashboards and report data quality KPIs and adoption.
  • Maintenance & Support Management: Lead incident management and coordinate with engineers for hotfixes.

Skills

SQL
Python
Data profiling

Tools

Tableau
Power BI

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 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.

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