Senior Analyst, Data Automation

Overview

Senior Analyst in the Digital & Data Analytics team within Global Supply Chain Services, leading AI-driven digital initiatives and managing complex, cross-functional projects from ideation through value realisation.

What you'll do

• Leverage AI-powered tools to accelerate agent creation, data discovery, data transformation, metadata analysis, code development and documentation (50% of time).
• 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 (40% of time).
• Stay current with emerging AI technologies and tools, and proactively recommend improvements to the organization's data strategy, architecture and technology stack (10% of time).

What you'll need

• Bachelor's degree in Information Technology or Computer Science Engineering, or a Master's in Mathematics, with experience in key digital software.
• Hands-on experience with building advanced AI agents.
• 4+ years of related experience.
• Proficiency in 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.
• 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.
• Solid experience in designing data architectures and data models, building ETL pipelines, developing APIs and implementing data engineering solutions on cloud-based platforms.
• Proven ability to quickly learn and adopt new AI, digital and automation tools and deploy them in live project environments.
• Excellent verbal and written communication in English; able to translate complex technical concepts for business stakeholders and convert business requirements into technical specifications.
• Demonstrated success executing multiple projects simultaneously in a fast-paced, deadline-driven environment with minimal supervision.
• Sound understanding of ethical AI practices, data privacy considerations and compliance with industry standards and organisational policies.
• Strong analytical and investigative mindset; able to navigate ambiguity, troubleshoot independently and simplify complex problems.

Nice to have

• Bachelor of Engineering in Computer Science, Information Technology or Mathematics.
• Related industry experience in Healthcare, Pharma or MedTech.
• 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.

Details

• Location: Bangalore, Karnataka, India.
• Reports to the Senior Manager, Digital & Data Analytics.