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

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

At Backblaze, we value being fair and good to our customers, partners, and employees
We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education
We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing

Senior Revenue Analytics Lead

Key skills