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Thesis

Analytics Engineer

  • Confirmed live in the last 24 hours
  • $120k–$150k
  • Mid level
  • On-site · New York, NY
  • Added 1 month ago

About this role

Thesis is seeking an Analytics Engineer to build and maintain their data infrastructure and develop AI-powered solutions. This hybrid role involves ensuring data reliability and accessibility while also pioneering the integration of AI agents and automations across the company. The ideal candidate is a builder who enjoys experimentation and is comfortable thriving in an ambiguous, fast-paced environment.

What you'll do

  • Maintain and optimize ETL pipelines feeding the Snowflake warehouse and Metabase reporting layer.
  • Diagnose and resolve data anomalies, ensuring reporting accuracy.
  • Build and extend models, views, and dashboards for self-service data access.
  • Design and implement AI agents and workflows to automate tasks.
  • Integrate LLMs from various providers into internal tools and customer-facing products.
  • Address ad hoc data requests from different teams (Ops, Marketing, Growth).

What they're looking for

  • SQL
  • ETL pipelines
  • Snowflake
  • Metabase
  • LLMs (Anthropic, OpenAI)
  • Database fundamentals

Benefits

  • Equity package
  • Health, dental, and vision plans (100% covered premium)
  • HSA and FSA
  • Pre-tax commuter benefits
  • Competitive compensation
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Thesis

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Likely interview questions

  • Describe a time you had to troubleshoot a complex data pipeline issue. What was your approach?
  • Walk me through a project where you used LLMs. What challenges did you face, and how did you overcome them?
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