Azure AI Data Analyst

About the role

The AI Data Analyst will design, develop, document, and maintain data pipelines and architectures, working closely with IT, Data Engineering, and Data Science teams to deliver artificial intelligence and machine learning solutions. Performs tasks such as, but not limited to, the following: Proficient coding skills in Python (including data libraries like Pandas and NumPy) and robust SQL skills for complex database querying and data manipulation.

What you'll do

• Collaborate with IT and Data Science teams to gather technical requirements, ensuring data availability and system readiness for AI integration
• Design, build, and optimize data pipelines (ETL/ELT) to prepare, clean, and structure datasets for machine learning models and large language models (LLMs)
• Work within Google Cloud environments to manage datasets, orchestrate data flows, and support model deployment
• Respond to system, API, and data pipeline problems by troubleshooting data anomalies, analyzing logs, and determining the technical course of action
• Develop and maintain technical documentation for data architectures, API integrations, and AI workflows

What you need

• 3–6 yrs of experience
• Azure
• SQL
• ETL
• BigQuery
• Python
• Pandas
• Any graduate

Good to have

• LLMs
• Machine learning
• GCP
• SAP
• NumPy