Data & AI Intern, Data Infrastructure, AI-Powered Automations

Workwise

. Build and maintain SQL models in BigQuery across delivery, procurement, retrieval, and warehouse performance .

Posted 9/23/2026internshipAmsterdam • NetherlandsEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and data modeling, with a strong focus on building and maintaining data-driven solutions in BigQuery. Capable of translating complex data insights into actionable recommendations while fostering a proactive and organized approach to problem-solving.

Highest-signal resume keywords

SQL ProficiencyBigQuery ExperienceAI/LLM FamiliarityAnalytical Problem-SolvingData Warehouse Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingData AnalysisAI WorkflowsAutomation ToolsDashboard DevelopmentOperational Metrics AnalysisSLA Performance AnalysisQuantitative AnalysisEvidence-Based Decision-Making

Soft Skills

Clear CommunicationOrganizational SkillsProactive AttitudeDetail-OrientedBuilder's Mindset

Tools & Technologies

BigQueryData Warehouse

Industry Keywords

Customer Support AIOperational QuestionsStartupsConsultingOperations

Tech Stack

Tools & technologies

BigQuerySQL

About the role

Key responsibilities & impact

Build and maintain SQL models in BigQuery across delivery, procurement, retrieval, and warehouse performance
Follow layered data modeling conventions
Develop and iterate on internal dashboards that surface important metrics
Translate data into decisions during recurring walkthrough sessions with service owners
Build and refine AI-powered workflows
Own improvements to the Customer Support AI
Identify new areas where automation can create leverage
Analyze operational questions, including SLA performance and carrier and supplier data
Turn findings into clear recommendations
Work hands-on with the data warehouse and convert messy operational data into actionable insight

Requirements

What you’ll need

Completed BSc and currently in the final stages of a master's, or already holding a master's, in a quantitative or STEM field (e.g. Econometrics, Data Science, or a related discipline)
Comfortable with SQL, or a strong eagerness to learn it quickly
Familiarity with a data warehouse; BigQuery is a plus
Strong analytical and problem-solving skills
Curiosity about AI and LLMs
Ideally some hands-on experience building with AI/LLMs or automation tools
Clear written and verbal communication, with the ability to structure complex ideas simply
Highly organized and detail-oriented, able to manage multiple priorities and meet deadlines
Experience in startups, consulting or operations is a strong plus
Proactive and resourceful
Builder's mindset and willingness to ship and improve working solutions
Comfortable with fast-paced, open-ended problems
Analytical approach to data and evidence-based decision-making
Ownership, follow-through, and commitment to work quality

Benefits

Comp & perks

Daily lunch provided at the office
Real ownership and learning opportunities
Vibrant, entrepreneurial environment that encourages innovation and growth
Monthly surprise events to build team spirit and have fun