Intern — Data Analyst

Mirantis

About The Position

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.

Requirements

SQL fundamentals; Snowflake experience preferred
Basic Python (pandas, NumPy)
Git and GitHub basics
Understanding of ELT/ETL concepts
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
Basic understanding of CDPs and event tracking
Familiarity with Segment: sources, destinations, event schemas
Awareness of PII handling and data governance basics
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
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
Clear written and verbal communication in English
Detail-oriented, collaborative, curious, and self-directed
Comfortable with ambiguity and eager to learn fast
Pursuing or recently completed a Bachelor's degree in Computer Science, Data Science, Statistics, or a related field

Nice To Haves

Basic LookML knowledge or eagerness to learn
Basic understanding of CDPs and event tracking
Familiarity with Segment: sources, destinations, event schemas
Awareness of PII handling and data governance basics
Basic understanding of LLMs: prompts, context, limitations
Awareness of responsible AI: privacy, output validation, hallucination risks

Responsibilities

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
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
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
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
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