Business Analyst - Clinical trials or life sciences || Brazil / Remote...

Role : : Business Analyst - Clinical trials or life sciences Location : Brazil / Remote

Duration : Long Term Contract

Key Responsibilities :

Understand and document business and data requirements across clinical domains and translate them into actionable technical tasks

Manage and maintain Jira boards for the Data Engineering team : groom stories, track progress, and coordinate with developers, QA, and stakeholders

Act as a liaison between product, engineering, and external stakeholders to clarify requirements and ensure alignment across teams

Drive the creation and maintenance of data entity mapping documentation between legacy systems and Medidata CTMS

Collaborate with engineering leads to support ETL and data pipeline validation, including defining edge cases and expected behaviors

Support UAT efforts for data integration / migration projects by coordinating validation cycles with clinical users and data stakeholders

Identify risks, gaps, or inconsistencies in incoming data requirements and proactively resolve them

Participate in data migration planning and execution experience with previous system-to-system migrations is a strong plus

Required Qualifications :

Minimum of 6 years of experience as a Business Analyst or Technical BA in the clinical trials or life sciences domain

Strong understanding of clinical data and clinical workflows

Experience with Jira, Confluence, and Agile / Scrum delivery models

Familiarity with data models, data structures, and relational data concepts (SQL knowledge is a plus)

Strong written and verbal communication skills with the ability to simplify complex topics for non-technical stakeholders

Ability to manage multiple workstreams and keep deliverables on track

Proven ability to create clear, structured documentation (e.g., data dictionaries, mappings, process flows)

Preferred Qualifications :

Experience with clinical data migrations (e.g from Veeva, Oracle, or other CTMS systems to other systems)

Understanding of ETL pipelines or working experience with data engineering teams

Knowledge of CTMS, eTMF, EDC / Rave, or other clinical trial technologies