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Senior Revenue Analytics Lead

Roles & Responsibilities

  • 12+ years of experience in data modeling, reporting, and analysis
  • Strong proficiency in Excel, SQL, Python, Tableau, or Power BI
  • A Bachelor’s degree or equivalent in a quantitative field such as Business Analytics, Data Science, Computer Science, or Economics
  • Deep understanding of SaaS metrics, including ARR, MRR, NRR, GRR

Requirements:

  • Design and maintain a scalable data model integrating product usage and telemetry data, customer success and support signals, and revenue data
  • Align and normalize data across systems, including Salesforce, product systems, and support tools
  • Build clean, reusable datasets for analytics and BI
  • Partner with Customer Success, Revenue Operations, Sales, and Finance teams to drive revenue insights

Job description

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 Senior 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

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

At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.

At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. 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. We are proud to be an Equal Opportunity Employer.

To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

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