Business Analyst
Há 2 dias
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
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