About the role
About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
About
the Role We are looking for a curious and analytical intern to join our data team. You'll work with our core stack — Looker, Snowflake, and Segment — building pipelines, dashboards, and data models while developing business analysis skills alongside experienced engineers and analysts.
What You'll Do Business Analysis Gather and document
requirements from internal stakeholders Define, track, and report on key performance indicators (KPIs) Translate business questions into data models, queries, and dashboards Prepare clear reports and present findings to technical and non-technical audiences Support data-driven decision making across teams Data Pipeline Management Help build and maintain ELT pipelines from Segment into Snowflake Monitor and validate event data flowing through Segment — checking completeness, consistency, and correct destination mapping Assist with data quality audits across the Segment → Snowflake → Looker stack Investigate and document data anomalies and pipeline failures Support data model development and maintenance in Snowflake BI & Reporting Build dashboards and reports in Looker Write and optimize SQL queries against Snowflake Assist with basic LookML development: views, explores, and measures Apply data visualization best practices for clarity and audience fit AI-Augmented Work Use AI assistants (Claude, Copilot, ChatGPT) to speed up SQL writing, documentation, and analysis Apply text-to-SQL and LLM-based tools for faster data exploration Prototype basic AI features: anomaly detection and automated report summarization Contribute ideas for AI and automation adoption within
