Senior Revenue Analytics Lead

1 month, 3 weeks ago
Full-time
Lead
Data Science and Analytics
Backblaze

Backblaze

Backblaze is a pioneer in robust, scalable low-cost cloud backup and storage services, offering enterprise hot storage, low-cost backup and archive solutions. With the easiest way to back up all files, Backblaze provides unlimited, unthrottled, and unc...

IT Services
251-1K
Founded 2007

Description

  • Design and maintain a scalable data model that integrates product telemetry, customer success signals, support data, and revenue metrics 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 business intelligence.
  • Define and standardize core SaaS metrics, including NRR, GRR, expansion, contraction, churn, renewal forecasting, and pipeline coverage.
  • Partner with Customer Success, Revenue Operations, Sales, and Finance teams to generate 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 Tableau dashboards that connect product usage to revenue outcomes and provide visibility into renewal pipeline and performance.
  • Ensure consistency through centralized metric definitions and SQL logic.

Requirements

  • 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 SQL-based data modeling skills are essential.
  • 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.
  • Bachelor’s degree or equivalent in a quantitative field such as Business Analytics, Data Science, Computer Science, or Economics is required.
  • MBA is highly desirable.
  • Ability to thrive in ambiguous, high-speed environments while managing multiple priorities.

Benefits

  • Opportunities for learning, development, and professional growth.
  • A culture that encourages applicants who may not meet every requirement to still apply.
  • Commitment to diversity, equity, and inclusion.
  • A workplace designed to help employees feel a sense of belonging.
  • Equal Opportunity Employer status.

Interested in this position?

Apply directly on the company website

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