Intern — Data Analyst

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Intern — Data AnalystFull-timeCompany DescriptionAbout MirantisMirantis 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.Job DescriptionAbout the RoleWe 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 DoBusiness AnalysisGather and document requirements from internal stakeholdersDefine, track, and report on key performance indicators (KPIs)Translate business questions into data models, queries, and dashboardsPrepare clear reports and present findings to technical and non-technical audiencesSupport data-driven decision making across teamsData Pipeline ManagementHelp build and maintain ELT pipelines from Segment into SnowflakeMonitor and validate event data flowing through Segment — checking completeness, consistency, and correct destination mappingAssist with data quality audits across the Segment → Snowflake → Looker stackInvestigate and document data anomalies and pipeline failuresSupport data model development and maintenance in SnowflakeBI & ReportingBuild dashboards and reports in LookerWrite and optimize SQL queries against SnowflakeAssist with basic LookML development: views, explores, and measuresApply data visualization best practices for clarity and audience fitAI-Augmented WorkUse AI assistants (Claude, Copilot, ChatGPT) to speed up SQL writing, documentation, and analysisApply text-to-SQL and LLM-based tools for faster data explorationPrototype basic AI features: anomaly detection and automated report summarizationContribute ideas for AI and automation adoption within the teamCollaboration & ProcessTrack tasks and participate in Agile sprints using JiraUse Git/GitHub for version control of SQL, LookML, and Python scriptsParticipate in code and dashboard reviewsDocument data models, event schemas, metric definitions, and pipeline logicQualificationsWhat We're Looking ForTechnicalSQL fundamentals; Snowflake experience preferredBasic Python (pandas, NumPy)Git and GitHub basicsUnderstanding of ELT/ETL conceptsBI — LookerHands-on experience with Looker or similar BI toolAbility to build clear, audience-appropriate dashboardsBasic LookML knowledge or eagerness to learnSolid grasp of data visualization best practicesData & Events — SegmentBasic understanding of CDPs and event trackingFamiliarity with Segment: sources, destinations, event schemasAwareness of PII handling and data governance basicsBusiness AnalysisAbility to gather, structure, and document requirementsComfortable facilitating discussions with non-technical stakeholdersStrong written communication — able to turn findings into clear narrativesAnalytical mindset: able to ask the right questions and challenge assumptionsAI BasicsComfortable using AI assistants for coding, analysis, and documentationBasic understanding of LLMs: prompts, context, limitationsAwareness of responsible AI: privacy, output validation, hallucination risksSoft SkillsClear written and verbal...