Mirantis
501 - 1000 employees
🏢 Enterprise
☁️ SaaS
Cloud Computing • Enterprise • SaaS
Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.
Intern – Data Analyst
🔥 0 minutes ago
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Mirantis
501 - 1000 employees
🏢 Enterprise
☁️ SaaS
Cloud Computing • Enterprise • SaaS
Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.
📋 Description
• 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
• 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
• 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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