Data Science, Finance & Strategy

Anthropic · San Francisco, CA · Finance · listed April 10, 2026

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The shape of it

Seniority

Not stated

Where

Hybrid

Stated pay

$270,000 – $345,000 USD

Requirements listed

Length

1,187 words

In the posting’s own words

The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering.

What it asks for · 3

Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
Fluency in the LLM model and product landscape
Experience with a semantic or metrics layer

Also a plus

Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
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 (grain, SCDs, point-in-time correctness)
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability

What the job covers

Own the weekly company metrics update and forum: shape the story the numbers tell, evolve the structure and content as fast as the business changes
Define the metrics that matter: help establish the headline KPIs leadership uses to track the business, and the driver views beneath them.
Surface macro trends: explain what is driving growth across products, customers, and channels, and flag leading indicators early
Lead deep dives on executive questions: take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer
Track performance against plan: explain where actuals differ from forecast and why it matters
Partner across teams: work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers.
Raise the bar: land narratives in executive forums and up-level the team’s finance analytics practice by example

Tools and skills named

Cloud & infra

AWS
CI/CD
GCP
Observability

Languages

Python2×
SQL2×

Go to market

Go-to-market2×

Models & research

Evaluations
LLM

Data

Ways of working

Testing

Words the posting leans on

business12×
data8×
metrics8×
products8×
finance7×
leadership7×
executive6×
experience6×
senior5×
answer4×
forum4×
questions4×
changes3×
cloud3×
data science3×
explain3×

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