Data Analyst Applied AI Intern, Buyer & Marketing - Business Intelligence (Spring 2027)
Job Description
Job Description:
- Partner with product managers and business stakeholders to understand business objectives, metric definitions, analytical requirements, and decision-making processes
- Identify recurring analytical tasks and business workflows that can be standardised or automated through AI-powered solutions
- Translate business knowledge - metric definitions, table relationships, calculation logic, and filtering rules - into reusable agent skills, structured runbooks, and automated workflows
- Support metric monitoring and anomaly detection workflows, connecting business risk signals with agent validation logic
- Build and improve LLM-powered analytics workflows for use cases such as Text-to-SQL, A/B testing analysis, and multi-region analytics
- Collaborate with regional stakeholders to understand market-specific business logic, reporting requirements, and metric definitions
- Use SQL, Python, Claude Code, and related AI development tools to build internal productivity tools, skill generators, SQL validators, and evaluation utilities
- Design test cases and validation frameworks to evaluate agent accuracy, consistency, and failure-handling behaviour.
- Investigate failure modes such as schema-linking errors, missing filters, incorrect denominators, empty results, and malformed structured outputs, and improve validation mechanisms accordingly
- Analyse workflow execution logs and traces to improve observability, maintainability, and system reliability
- Document best practices, workflows, and user guides to support adoption across teams and regions
Requirements:
- Currently pursuing a Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related quantitative field
- Strong SQL skills, including joins, aggregations, CTEs, window functions, and general data warehouse concepts
- Working knowledge of Python for automation, scripting, or data processing
- Basic understanding of A/B testing, experimentation methodologies, and statistical significance
- Interest in understanding how e-commerce metrics connect to business decisions and willingness to learn domain-specific analytical workflows
- Strong interest in LLM applications, AI agents, workflow automation, or developer productivity tools
- Ability to understand business problems, translate them into analytical questions, and design practical solutions
- Comfortable working with cross-functional stakeholders, including analysts, product managers, engineers, and business teams
- Strong analytical thinking, problem-solving, communication, and documentation skills
- Comfortable using AI coding tools such as Claude Code while reviewing, validating, and maintaining generated outputs
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About Company
Skills:
Sql, Python, Text-to-SQL, statistical significance, AI development tools, Claude Code