Positive Grid is a progressive music tech company transforming the world of guitar and music creation through smart, AI-powered experiences. As we evolve into an AI-first organization, we are seeking a Senior Data Analyst who can deliver actionable BI while also helping architect AI-driven analytical systems.
The BI team is undergoing a strategic transformation shifting from reactive stakeholder support toward building AI agents, scalable data infrastructure, and self-serve capabilities. This role requires flexibility to work across multiple domains and adapt as priorities evolve.
You will work cross-functionally with E-commerce, Product, Marketing, Logistics, Finance, and CRM teams across 23 countries. No direct people management responsibility.
Typical Account abilities
- Build and iterate AI agent workflows for automated reporting, anomaly detection, and decision assistance across multiple business domains
- Architect and maintain scalable, AI-ready data marts and pipelines (BigQuery, Dataform, Looker)
- Translate ambiguous business problems into scoped, deliverable analytics or engineering projects
- Train stakeholders on self-serve analytics and manage operational handovers
- Present insights and AI recommendations to both technical and non-technical audiences
Essential
- Experience building AI agents has designed, deployed, or iterated on agent-based workflows that automate real business tasks
- Hands-on with AI-assisted development daily use of LLM tools (ChatGPT, Claude, Claude Code, RooCode/Cline) for real work, not just experimentation
- Prompt engineering & LLM integration can design structured prompts, chain LLM calls, and embed AI into data workflows
- Data pipeline experience in a warehouse environment (BigQuery, Snowflake, or equivalent) understands data modeling and transformation layers
- Comfortable with GitHub version control, branching, and collaborative development workflows
- Proficient in SQL and Python production-grade queries, automation, data processing, and AI integration
- 3+ years in data/business analytics with cross-functional ownership
- Strong problem decomposition breaks ambiguity into actionable, scoped tasks
- Clear business communication explains technical trade-offs accurately to non-technical stakeholders
- Comfortable context-switching across multiple business domains simultaneously
Desirable
- Multi-agent orchestration (n8n, LangGraph, CrewAI)
- Vector databases, RAG pipelines, or embedding-based retrieval
- GCP ecosystem and Dataform for data transformation
- E-commerce analytics, CRM journey optimization, or paid media performance
- Experience training non-technical users on data tools