Senior Revenue Analytics Lead

Role Description

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.

Qualifications

• 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.

Benefits

• Encouragement to apply even if you don't meet every requirement.
• Focus on learning, developing, and growing as key parts of our culture.
• Commitment to fostering a diverse workforce where all employees feel a sense of belonging.
• Equal Opportunity Employer.