AI Business Analysts to gather requirements and optimize processes. Backed by Y Combinator.
About the role
We're looking for a data guru to build product features and run analyses on top of our massive data set (7,000+ companies first-party data co-op + large public database). You'll be working lots in SQL, DBT and Python + leveraging LLMs for data enrichment & tagging.
What they're looking for
- 6+ years of analytics engineering, data engineering, data science, or other highly analytical, data-oriented roles
- Excellent communication skills and ability to work with technical and non-technical partners from many teams, especially in exploring decisions and trade-offs
- Advanced proficiency in SQL databases and queries, as well as experience designing data models using dbt
- Working knowledge of Python and cloud-based data warehouse platforms (Snowflake and Athena in particular)
- Commitment to applying software engineering best practices in an analytics setting
- Experience building pipelines for Machine Learning or LLM models and ensuring their reliability using ML/LLM ops techniques
More about this role
We're looking for a data guru to build product features and run analyses on top of our massive data set (7,000+ companies first-party data co-op + large public database).
Opportunity to be first 10 employee in a very fast-growing startup that just raised from on of the best VCs in Silicon Valley.
You'll be working lots in SQL, DBT and Python + leveraging LLMs for data enrichment & tagging.
- 6+ years of analytics engineering, data engineering, data science, or other highly analytical, data-oriented roles.
- Excellent communication skills and ability to work with technical and non-technical partners from many teams, especially in exploring decisions and trade-offs
- Advanced proficiency in SQL databases and queries, as well as experience designing data models using dbt
- Working knowledge of Python and cloud-based data warehouse platforms (Snowflake and Athena in particular)
- Commitment to applying software engineering best practices in an analytics setting
- Experience building pipelines for Machine Learning or LLM models and ensuring their reliability using ML/LLM ops techniques
- Startup mentality, solution driven, can do approach
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