Intern — Data Analyst
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 the team
Collaboration & Process
Track tasks and participate in Agile sprints using Jira
Use Git/GitHub for version control of SQL, LookML, and Python scripts
Participate in code and dashboard reviews
Document data models, event schemas, metric definitions, and pipeline logic
What We're Looking For
Technical
SQL fundamentals; Snowflake experience preferred
Basic Python (pandas, NumPy)
Git and GitHub basics
Understanding of ELT/ETL concepts
BI - Looker
Hands-on experience with Looker or similar BI tool
Ability to build clear, audience-appropriate dashboards
Basic LookML knowledge or eagerness to learn
Solid grasp of data visualization best practices
Data & Events - Segment
Basic understanding of CDPs and event tracking
Familiarity with Segment: sources, destinations, event schemas
Awareness of PII handling and data governance basics
Business Analysis
Ability to gather, structure, and document requirements
Comfortable facilitating discussions with non-technical stakeholders
Strong written communication - able to turn findings into clear narratives
Analytical mindset: able to ask the right questions and challenge assumptions
AI Basics
Comfortable using AI assistants for coding, analysis, and documentation
Basic understanding of LLMs: prompts, context, limitations
Awareness of responsible AI: privacy, output validation, hallucination risks
Soft Skills
Clear written and verbal communication in English
Detail-oriented, collaborative, curious, and self-directed
Comfortable with ambiguity and eager to learn fast
Education
Pursuing or recently completed a Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
What You'll Gain
- Hands-on experience with a modern data stack: Segment, Snowflake, and Looker
- Real exposure to data pipeline management, BI development, and business analysis
- Practical experience with AI-augmented analytics workflows
- Mentorship from experienced analysts, engineers, and data practitioners
- Agile team experience with professional engineering practices
- Structured feedback and a clear development path
- Opportunity to convert to a full-time role based on performance
What does Mirantis offer you?
- Work with an established Silicon Valley leader in the cloud infrastructure industry;
- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
- Be a part of cutting-edge, open-source innovation;
- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
- Professional development and training;
- Attend conferences and working groups;
- Company outings, happy hours, hackathons, and tech talks;
- Receive a competitive compensation package with a strong benefits plan.
It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]
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