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.
What You'll Do
Business Analysis
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Gather and document requirements from internal stakeholders
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Define, track, and report on key performance indicators (KPIs)
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Translate business questions into data models, queries, and dashboards
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Prepare clear reports and present findings to technical and non-technical audiences
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Support data-driven decision making across teams
Data Pipeline Management
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Help build and maintain ELT pipelines from Segment into Snowflake
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Monitor and validate event data flowing through Segment — checking completeness, consistency, and correct destination mapping
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Assist with data quality audits across the Segment → Snowflake → Looker stack
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Investigate and document data anomalies and pipeline failures
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Support data model development and maintenance in Snowflake
BI & Reporting
- Build dashboards and reports in Looker
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Write and optimize SQL queries against Snowflake
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Assist with basic LookML development: views, explores, and measures
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Apply data visualization best practices for clarity and audience fit
AI-Augmented Work
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Use AI assistants (Claude, Copilot, ChatGPT) to speed up SQL writing, documentation, and analysis
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Apply text-to-SQL and LLM-based tools for faster data exploration
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Prototype basic AI features: anomaly detection and automated report summarization
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Contribute ideas for AI and automation adoption within the team
Collaboration & Process
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Track tasks and participate in Agile sprints using Jira
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Use Git/GitHub for version control of SQL, LookML, and Python scripts
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Participate in code and dashboard reviews
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Document data models, event schemas, metric definitions, and pipeline logic
What We're Looking For
Technical
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SQL fundamentals; Snowflake experience preferred
- Basic Python (pandas, NumPy)
- Git and GitHub basics
- Understanding of ELT/ETL concepts
BI — Looker
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Hands-on experience with Looker or similar BI tool
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Ability to build clear, audience-appropriate dashboards
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Basic LookML knowledge or eagerness to learn
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Solid grasp of data visualization best practices
Data & Events — Segment
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Basic understanding of CDPs and event tracking
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Familiarity with Segment: sources, destinations, event schemas
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Awareness of PII handling and data governance basics
Business Analysis
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Ability to gather, structure, and document requirements
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Comfortable facilitating discussions with non-technical stakeholders
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Strong written communication — able to turn findings into clear narratives
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Analytical mindset: able to ask the right questions and challenge assumptions
AI Basics
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Comfortable using AI assistants for coding, analysis, and documentation
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Basic understanding of LLMs: prompts, context, limitations
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Awareness of responsible AI: privacy, output validation, hallucination risks
Soft Skills
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Clear written and verbal communication in English
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Detail-oriented, collaborative, curious, and self-directed
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Comfortable with ambiguity and eager to learn fast
Education
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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
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