Analytics Engineer
Required skills
3+ years of experience in a high-growth data environment (Analytics Engineer, Data Engineer, or Technical Data Analyst), Modern Data Stack Specialist: Deep, practical knowledge of dbt and cloud warehouses, Expert-level SQL, Python Literacy, AI Comfort, Ownership Mindset, Exceptional Communication
Preferred skills
Workflow Automation: Experience with tools like n8n, Zapier, or similar automation platforms, BI/Semantic Platforms: Experience with Looker, Thoughtspot, or similar, Industry Context: Experience in Payments, FinTech, Banking, or Cryptocurrency, Reverse ETL: Familiarity with moving data from the warehouse back into SaaS tools
Technologies
dbt, BigQuery, Git, CI/CD, Python, SQL, AI tools (e.g., Cursor, GitHub Copilot, LLMs), n8n, Zapier, Looker, Thoughtspot
Responsibilities
Ownership of the Modern Data Stack (dbt & BigQuery), Act as a lead developer for our dbt project, Build performant, modular, and well-tested models, Apply software engineering rigor to the data stack, Partner with business leads across the company to identify manual processes that can be streamlined through data automation, Bridge the gap between the warehouse and the business, AI Integration: Leverage AI tools and LLMs to accelerate development cycles, Act as a consultant to business leads, Translate loosely defined business requirements into robust, automated technical solutions, Data Quality Advocacy
Seniority
Not specified
Domain
Payments, FinTech, Banking, Cryptocurrency