Must have skills: AI and LLM, Data Analysis & Visualization, SQL (Strong), SaaS revenue metrics, Salesforce Landscape

Job Description:

10+ years of experience in data analytics, with exposure to revenue analytics, finance analytics or FP&A systems, at least part of it at a public SaaS company
Deep working knowledge of SaaS revenue metrics: ARR, NRR, churn, renewals, ATR, bookings Knowledge of Salesforce, including its objects (opportunities, quotes, entitlements, renewals) and how they flow.
Practical understanding of deal constructs: ramp, flex, multiyear, delayed start, co terming, early renewal Strong SQL.
You must be able to query Snowflake independently and read dbt models to trace how a number was built Fluency with AI and LLM tools, used to accelerate technical delivery and to produce analysis ready for presentation
Demonstrated business partnering with Finance, including through quarter end close
Experience supporting reported figures, where accuracy is auditable Prior data product owner or analytics business analyst role with backlog ownership Experience defining metrics that did not previously exist, not only maintaining existing ones

Product Owner

Key skills