Revenue Analytics Lead

Backblaze

Revenue Analytics Lead responsible for data modeling and revenue insights at Backblaze. Collaborating with multiple teams to enhance analytics and drive growth.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $140,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling, analytics, and reporting, with a strong focus on SaaS metrics and revenue forecasting. Proficient in building and maintaining scalable data models and dashboards that drive insights across cross-functional teams.

Highest-signal resume keywords

Data ModelingSQL ProficiencySaaS Metrics ExpertiseTableau Dashboard DesignStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLPythonExcelTableauPower BIStatistical TechniquesTime-Series ModelingCohort AnalysisRegression

Soft Skills

Proactive Self-StarterCommunication SkillsCross-Functional CollaborationProblem-Solving

Tools & Technologies

SalesforceSnowflakeBigQueryRedshift

Certifications & Qualifications

Bachelor’s Degree in Quantitative FieldMBA (Highly Desirable)

Industry Keywords

SaaS MetricsARRMRRNRRGRRChurnRenewalsRevenue OperationsCustomer SuccessKPI Definitions

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

9+ 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

Comp & perks

Healthcare for family, including dental and vision
Competitive compensation and 401K
RSU grants for full-time employees
ESPP program
Flexible vacation policy
Maternity & paternity leave
MacBook Pro to use for work, plus a generous stipend to personalize your workstation
Childcare bonus (human children only)
Fertility treatment and support
Learning & development program
Commuter benefits
Culture that supports a healthy work-life balance