Intern - Data Analyst

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 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.
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