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Mirantis

Intern – Data Analyst

Mirantis

Intern handling data analysis tasks using Looker, Snowflake, and Segment at Mirantis. Supporting data pipelines, dashboards, and business analysis within a collaborative team environment.

Posted 6/19/2026internshipRemote • 🇰🇿 KazakhstanEntry LevelWebsite

Tech Stack

Tools & technologies
ETLNumpyPandasPythonSQL

About the role

Key responsibilities & impact
  • 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
  • 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

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLSnowflakePythonLookerLookMLELTETLdata visualizationdata modelinganomaly detection
Soft Skills
strong written communicationanalytical mindsetdetail-orientedcollaborativecuriousself-directedcomfortable with ambiguityeager to learnfacilitating discussionsgathering and documenting requirements