Experience Maximum 10-12 years (Please don't look for overqualified candidates)
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, multi year, 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.
Numbers & Facts
Location
San Jose, CA
Skills
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Business Analysisunmatched
Data Analysisunmatched
Data Visualizationunmatched
Financeunmatched
Financial Analysisunmatched
Financial Planning and Analysis (FP&A)unmatched
Metricsunmatched
Revenue Analysisunmatched
SQL (Structured Query Language)unmatched
Salesforce.comunmatched
Software as a Service (SaaS)unmatched
Technical Deliveryunmatched
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