Senior Analyst, Data Automation

Position Summary

Tasks/Duties/Responsibilities

• 50%
• Leverage AI-powered tools to accelerate agent creation, data discovery, data transformation, metadata analysis, code development, documentation.
• 40%
• Design, develop, and maintain scalable, secure and reusable data pipelines, and integration solutions using Azure, Dataverse, Genie, Databricks, SQL Server, Alteryx, Power Automate and Python.
• 10%
• Stay current with emerging AI technologies and tools. Proactively recommend improvements to the organization’s data strategy, architecture, and technology stack.

Total

Required Knowledge, Skills and Abilities

• AI & Emerging Technologies: Proficient in using Generative AI, Large Language Models (LLMs), Copilot technologies, and other AI-assisted development tools. Demonstrated ability to design efficient frameworks (e.g., smart harnesses) that optimise token consumption for AI agents.
• Data & Development Platforms: Hands-on experience with Databricks, Dataverse, Azure Data Services, SQL Server, Python, Alteryx, and Power Automate. Familiarity with integrating these tools into end-to-end solutions is essential.
• Data Architecture & Engineering: Solid experience in designing data architectures and data models, building ETL pipelines, developing APIs, and implementing data engineering solutions on cloud-based platforms.
• Adaptability & Continuous Learning: Proven ability to quickly learn and adopt new AI, digital, and automation tools, and effectively deploy them in live project environments.
• Communication & Stakeholder Management: Excellent verbal and written communication in English. Skilled at translating complex technical concepts into clear, actionable insights for business stakeholders, and converting business requirements into well-defined technical specifications.
• Project & Time Management: Demonstrated success in executing multiple projects simultaneously in a fast-paced, deadline-driven environment with minimal supervision.
• Responsible AI & Ethics: Sound understanding of ethical AI practices, data privacy considerations, and compliance with industry standards and organisational policies.
• Problem-Solving & Analytical Thinking: Strong analytical and investigative mindset with a natural ability to navigate ambiguity, troubleshoot independently, and simplify complex problems into workable solutions.

Preferred Qualifications

• Preferred Minimum Education : Bachelor of Engineering
• Preferred Area of Study: Computer Science, Information Technology, Mathematics
• Preferred Related Industry Experience (if applicable): Healthcare, Pharma, MedTech

Preferred Knowledge, Skills and Abilities

• End-to-end supply chain, enterprise contract management, global trade controls or global transportation and trade operations experience in a global or multi-divisional environment.
• Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.