Intern — Data Analyst

About the Position

Intern - Data Analyst

• Full-time

About the Company

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.

Responsibilities

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

Requirements

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 Mirantis Offers

• 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]

By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.

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