Middle Business Analyst with AI exp (#5137)

N-iX is seeking an experienced and highly skilled Middle Business Analyst to join our team in a leading pharmaceutical company. This role will focus on supporting data-driven and AI-powered initiatives that enhance decision-making, operations, and advanced analytics.

This is an opportunity to work in a Fortune 500 company, contribute to life-changing projects at the intersection of data and artificial intelligence, and collaborate with a team of experts in a fast-paced, innovation-focused environment. You will be an integral part of a mission that aims to enhance healthcare outcomes through advanced analytics and AI innovation.

Responsibilities:

• Collaborate closely with cross-functional teams, including data scientists, product managers, and data engineers, to understand business objectives and identify data and AI opportunities.
• Conduct thorough requirements analysis for AI-centric projects, including gathering, documenting, and validating requirements to support product design and development.
• Create and maintain comprehensive documentation, including user stories, functional specifications, and data/AI workflows.
• Participate in data governance, quality, and compliance initiatives, ensuring the accuracy, integrity, and ethical use of data in AI models and analytics.
• Work with stakeholders to understand business goals and translate them into actionable requirements.
• Act as a liaison between business users and technical teams, ensuring clear communication and alignment.
• Actively participate in testing and validating deliverables - AI models and product features, ensuring outputs meet business requirements, are user-friendly, and align with compliance standards before launch.
  
  

Requirements:

• 3+ years of experience as a Business Analyst with exposure to AI-focused projects.
• Hands-on experience defining business requirements for AI or machine learning initiatives (e.g., predictive analytics, NLP solutions, intelligent automation, etc.).
• Proven ability to support and execute testing of deliverables (e.g., user acceptance testing, functional validation), ensuring high-quality outcomes.
• Experience with data governance, data quality, and data privacy compliance within regulated industries is a plus.
• Excellent communication skills with the ability to translate complex technical details, including AI concepts, into business language for stakeholders.
• Highly organized and detail-oriented, with strong problem-solving skills.
• Strong analytical skills.
• Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus.
• Basic understanding of SQL or data querying, though not required to perform data engineering tasks.
• Upper Intermediate English