Data/Business Analyst (Life Sciences)

TL;DR

Data/Business Analyst (Life Sciences): Gathering and refining data pipeline requirements and translating them into epics and stories for agile teams with an accent on data quality, governance, and regulatory compliance. Focus on defining data transformation architecture, validating data mappings, and ensuring regulatory and business context is preserved across transformed datasets.

Location: Remote (global) or office work.

Company

hirify.global is an international team providing services in life sciences, agrochemical, or pharma domains.

What you will do

• 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, also endorsing the role of agile Scrum Master.
• Identify and document potential data issues, including quality, normalization, duplication, completeness, or governance gaps.
• Work closely with data architects to define and document the data transformation pipeline architecture and models.
• Validate that all data mappings and transformations meet regulatory compliance, data quality, and analytical readiness standards.

Requirements

• Bachelor’s degree in data analytics or computer science.
• 5+ years of experience in data or business analysis, preferably in life sciences, agrochemical, or pharma domain.
• Demonstrated expertise in data transformation pipelines and data quality frameworks.
• Familiarity with metadata management and data governance principles.
• Strong analytical, communication, and documentation skills, with experience collaborating across disciplines.
• A collaborative and proactive approach, comfortable working in iterative, agile environments.
• English: Upper-intermediate or higher.

Culture & Benefits

• Competitive compensation and flexible working hours.
• Healthcare benefits: medical insurance and paid sick leave.
• Continuous education, mentoring, and professional development programs.
• A team with excellent tech expertise and certifications paid by the company.