Senior Data Analyst

HARVEY

San Francisco, California, United States
Base: $145,000 - $210,000pyear; bonus/equity: not ...
Sql with ctes and window functions
Python for data manipulation and ml
Experience with legal technology or litigation
The role involves establishing scalable data foundations by designing robust data models and pipelines to support company-wide analytics

Job Summary

  • The role involves establishing scalable data foundations by designing robust data models and pipelines to support company-wide analytics.
  • Candidates must have experience analyzing AI/LLM product performance including knowledge of retrieval-augmented generation and prompt engineering.
  • The position requires a hybrid work model where employees must be in the office three days per week.

Matching Summary

The role involves establishing scalable data foundations by designing robust data models and pipelines to support company-wide analytics.

Salary

Base: $145,000 - $210,000/year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • SQL with CTEs and window functions
  • Python for data manipulation and ML
  • Experience with legal technology or litigation
  • Knowledge of RAG and agentic workflows
  • Building data pipelines using dbt
  • Creating dashboards in Looker or Streamlit

Nice-to-have

  • Thrive in ambiguity and fast-paced environments
  • Deep domain expertise in professional services
  • Ability to present findings to executive stakeholders
  • Collaboration with engineering on data architecture

Key Requirements

  • Bachelor's degree in Applied Math or Data Science
  • Three years of experience in related role
  • In-office presence required 3 days per week

Work Rights

Not specified

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