Senior Revenue Analytics Lead at Backblaze

Design and maintain a scalable data model integrating product usage and telemetry data, customer success and support signals, and revenue data such as ARR, MRR, renewals, and pipeline
Align and normalize data across systems, including Salesforce, product systems, and support tools
Build clean, reusable datasets for analytics and BI
Define and standardize core SaaS metrics, including Net Revenue Retention (NRR), Gross Revenue Retention (GRR), expansion, contraction, churn, renewal forecasting, and pipeline coverage
Partner with Customer Success, Revenue Operations, Sales, and Finance teams to drive revenue insights
Build models to forecast usage and revenue growth, predict expansion likelihood, and identify churn and saturation risk
Apply statistical and analytical techniques such as time-series modeling, cohort analysis, regression, and probability modeling
Design dashboards in Tableau that connect product usage to revenue outcomes, surface expansion-ready and at-risk accounts, and provide visibility into renewal pipeline and performance
Ensure consistency through centralized metric definitions and SQL logic
Right Fit
12+ years of experience in data modeling, reporting, and analysis, working closely with business partners
Strong proficiency in Excel, SQL, Python, Tableau, or Power BI
Strong data modeling skills in SQL are essential
A proactive self-starter who thrives in ambiguous, high-speed environments while managing multiple priorities
Skilled at communicating complex analytical findings to executive leadership and diverse stakeholders
Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift
Deep understanding of SaaS metrics, including ARR, MRR, NRR, GRR, expansion, churn, and renewals
Experience working cross-functionally with Customer Success, Revenue Operations or Sales, and Finance
Prior experience designing semantic layers, data models, and KPI definitions for consistent reporting
A Bachelor's degree or equivalent in a quantitative field such as Business Analytics, Data Science, Computer Science, or Economics is required, with an MBA being highly desirable
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Senior Revenue Analytics Lead

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