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Jobs/Senior Data Scientist Role/Backblaze External Website - Senior Revenue Analytics Lead
Backblaze External Website

Backblaze External Website - Senior Revenue Analytics Lead

Remote - Argentina3w ago
RemoteStaffLATAMData AnalyticsSoftwareSenior Data ScientistSQLTableauExcelPythonPower BICustomer SuccessLearning & DevelopmentARRMRRSalesforceNRRGRRReportingRevenue GrowthSnowflakeRedshiftMBA

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Responsibilities

• 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 • 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.

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