Senior AI & Analytics Engineer

About the role

Analytics is moving beyond dashboards. This is a hands-on builder role at the intersection of analytics engineering and applied AI. You'll own the pipelines, datasets, and metrics that the business runs on, and you'll build the LLM-powered applications, copilots, agents, natural-language data experiences that sit on top of them.

What you'll do

• Analytics Engineering & Business Analytics
• Build and own scalable data pipelines, transformations, analytical datasets, and reusable data products using SQL and Python
• Analyze B2C, product, and customer data to identify trends, performance drivers, and actionable insights
• Translate business and product questions into reliable metrics and decision-support solutions that help teams measure performance and understand customer behavior
• Design, build, and deploy LLM-powered applications, agents, and analytics workflows using RAG, tool calling, MCP, and modern agent frameworks

What you need

• 6–11 yrs of experience
• Analytics
• SQL
• Python
• LLMs
• ETL
• BigQuery
• Any graduate

Good to have

• Databricks
• Snowflake
• Azure
• Google Analytics
• Power BI
• CI/CD