Revenue Analytics Lead
About the role
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Revenue Analytics Lead to join our team!
About the Role
Backblaze is seeking a Senior Revenue Analytics Lead to build and scale our post-sales and revenue intelligence capabilities.
This is a senior individual contributor role for a highly technical and business-oriented analyst who can unify product telemetry, customer success signals, and revenue data into a single, actionable analytics layer.
This is not a reporting-only role. You will architect, build, and operationalize systems that directly impact renewals, expansion, and revenue growth.
What You’ll Do
- 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