Data/Business Analyst
Responsibilities
- Collaborate with source system owners and regulatory stakeholders to gather and refine data pipeline requirements
- Translate data pipeline requirements into epics and stories ready for refinement in Jira
- Lead backlog refinement sessions with data architects, domain leads, and scientists to prioritize data ingestion and transformation activities
- Define story structure to comprise the requirements of the work to be done and the definition of done and the different types of tasks relevant for the domain to accomplish with their associated roles, documented in a Confluence page
- Endorse the role of agile scrum master for the RDH team: coach team members in self-management, organize high-value increments in sprints meeting the definition of done
- Identify and document potential data issues, including quality, normalization, duplication, completeness, or governance gaps, and share findings with the data domain and platform lead
- Work closely with data architects to define and document the data transformation pipeline architecture
- Support the data architect in defining and maintaining the data models used across regulatory use cases by reviewing proposed changes and evaluating their relevance towards new requirements
- Support the review phase led by the Data Domain Lead, verifying that the regulatory and business context is preserved across transformed datasets
- Validate that all data mappings and transformations meet regulatory compliance, data quality, and analytical readiness standards
- Collaborate with data scientists to define mapping logic for regulatory entities such as substances, studies, and documents
- Review the design of quality control pipelines, ensuring mapping accuracy and alignment with analytical expectations
Requirements
- Bachelor’s degree in data analytics, computer science
- 5+ years of experience in data or business analysis, e.g., life sciences, agrochemical, or pharma domain
- Demonstrated expertise in data transformation pipelines, and data quality frameworks
- Hands-on experience with Databricks
- Familiarity with metadata management and data governance principles
- Strong analytical skills, with the ability to translate business requirements into technical deliverables
- Excellent communication and documentation skills, with experience collaborating across disciplines e.g. Data Scientists, Architects, Domain Leads, Platform Leads
- A collaborative and proactive approach, comfortable working in iterative, agile environments
- High attention to detail with strong problem-solving capabilities
- Self-motivated and adaptable, able to navigate ambiguity and evolving project priorities in a complex data environment
- Upper-intermediate English or higher
We offer
- Competitive compensation
- Remote or office work
- Flexible working hours
- Healthcare benefits: medical insurance and paid sick leave
- Continuous education, mentoring, and professional development programs
- A team with an excellent tech expertise
- Certifications paid by the company
