Senior Data Analyst

BrazilRemoteFull-timesenior

Data AnalystData

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Quick Summary

Overview

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Analyst based in Brazil.

Technical Tools

Data AnalystData

This role offers an opportunity to combine scientific knowledge and data expertise while supporting specialized in vitro applications within a global pharmaceutical research and development environment. You will act as a domain expert, helping a technical team of approximately 15 Full-Stack and Data Engineers understand scientific applications, data flows, and interconnected systems. Working closely with client-side application teams and subject matter specialists, you will translate complex pharmaceutical and biological concepts into practical technical guidance. Your contributions will help improve troubleshooting processes, strengthen knowledge sharing, and ensure technical teams have reliable documentation and visual resources. You will also gain hands-on exposure to specialized pharmaceutical R&D workflows while learning from experienced industry professionals. This position is ideal for an analytical, detail-oriented professional who enjoys bridging the gap between scientific expertise and technical delivery in an international, collaborative environment.

Serve as a scientific and domain expert for a technical support team of approximately 15 Full-Stack and Data Engineers.
Help engineering teams understand in vitro applications, data flows, and the broader application landscape.
Create clear visual representations of application portfolios, system relationships, and data flows.
Develop documentation and knowledge resources that help engineers investigate and resolve support requests efficiently.
Translate scientific, biological, and application-specific concepts into clear, actionable information for technical specialists.
Collaborate with client-side application teams and domain experts to clarify pharmaceutical workflows and support technical understanding.
Work independently toward defined deliverables and timelines while coordinating effectively with an internationally distributed team.
Apply data analysis, visualization, and quality practices to ensure support materials are accurate, accessible, and reliable.
Continuously expand pharmaceutical R&D knowledge through collaboration with experienced specialists.
Facilitate effective communication and knowledge sharing between scientific and technical stakeholders.

Requirements

~2 min read

Educational or professional background in Pharmaceutical Sciences, Clinical Sciences, Biology, Bioinformatics, Data Science, or a closely related field.
At least 3 years of relevant experience working with specialized life sciences applications, particularly Genedata Screener, Dotmatics, or Signal VitroVivo.
Experience working with scientific or pharmaceutical data, including an understanding of how information moves between applications and systems.
Strong analytical skills and the ability to turn complex information into clear visualizations, structured documentation, and practical technical guidance.
Solid knowledge of biology and clinical sciences to support accurate interpretation of pharmaceutical data and processes.
Understanding of pharmaceutical medicine principles relevant to in vitro application support.
Experience with data analysis, quality practices, and visualization techniques to ensure information is accurate, reliable, and easy to understand.
Strong communication and business communication skills, with the ability to collaborate confidently with scientific experts, engineers, and other stakeholders.
Ability to work independently, manage agreed deliverables, meet deadlines, and contribute effectively within a distributed international team.
English proficiency at B2 level or higher.

Nice to have:

Familiarity with Agile methodologies in distributed, cross-functional environments.
A collaborative mindset and the ability to work effectively with diverse teams.
Background or interest in the broader Life Sciences field.
Experience mentoring colleagues or junior team members.
Stakeholder management skills, including the ability to build trust and alignment across technical and business groups.
A Bachelor's degree; a Master's degree is considered an additional advantage.