Data Science, Finance & Strategy

The role

You will own the weekly company metrics update and forum for finance leadership. You will define key KPIs, surface macro trends, and lead deep dives into business questions using SQL, Python, and AI tools.

What you will do

• Own the weekly company metrics update and forum
• Define the metrics that matter and headline KPIs
• Surface macro trends and flag leading indicators
• Lead deep dives on executive questions
• Track performance against plan
• Partner across finance, product, GTM, data science, and data engineering teams
• Land narratives in executive forums

Required qualifications

• Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Field of study relevant to the role as demonstrated through coursework, training, or professional experience
• Experience running an executive metrics forum
• Experience landing narratives with executives
• Experience putting shape around ambiguity
• Ability to write SQL and Python
• Ability to work with SQL, Python, dbt, and a cloud warehouse

Nice to have

• Significant experience in finance analytics, business analytics or data science
• Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace)
• Ownership of a company or executive business review
• Experience designing evals or benchmarks for AI models or products
• Fluency in the LLM model and product landscape
• Experience with a semantic or metrics layer
• Dimensional modeling and warehouse design experience
• Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability

Benefits

• Competitive compensation
• Optional equity donation matching
• Generous vacation
• Parental leave
• Flexible working hours
• Office space

Before you apply

• We do sponsor visas, but we aren't able to successfully sponsor visas for every role and every candidate

About the company

Anthropic is a public benefit corporation headquartered in San Francisco. Its mission is to create reliable, interpretable, and steerable AI systems.