Senior Revenue Analytics Lead

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Create and uphold a scalable data model that integrates product usage and telemetry data, along with customer success and support signals, as well as revenue information such as ARR, MRR, renewals, and pipeline.

• Align and standardize data across various systems, including Salesforce, product platforms, and support tools.

• Develop clean and reusable datasets for analytics and business intelligence.

• Establish and standardize fundamental SaaS metrics, such as Net Revenue Retention (NRR), Gross Revenue Retention (GRR), expansion, contraction, churn, renewal forecasting, and pipeline coverage.

• Collaborate with Customer Success, Revenue Operations, Sales, and Finance teams to generate revenue insights.

• Create models to forecast usage and revenue growth, predict the likelihood of expansion, and identify risks of churn and saturation.

• Utilize statistical and analytical methodologies, including time-series modeling, cohort analysis, regression, and probability modeling.

• Design dashboards in Tableau that link product usage to revenue results, highlight accounts ready for expansion and those at risk, and provide insight into the renewal pipeline and performance.

• Maintain consistency through centralized definitions of metrics and SQL logic.

⛳️ Requirements

• Over 12 years of experience in data modeling, reporting, and analysis, closely collaborating with business partners.

• Strong expertise in Excel, SQL, Python, Tableau, or Power BI.

• Proficient data modeling skills in SQL are crucial.

• A proactive self-starter who excels in fast-paced, ambiguous environments while managing multiple tasks.

• Adept at conveying complex analytical insights to executive leadership and various stakeholders.

• Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift.

• Comprehensive understanding of SaaS metrics, including ARR, MRR, NRR, GRR, expansion, churn, and renewals.

• Experience in cross-functional collaboration with Customer Success, Revenue Operations or Sales, and Finance.

• Previous experience in designing semantic layers, data models, and KPI definitions for consistent reporting.

• A Bachelor’s degree or equivalent in a quantitative discipline such as Business Analytics, Data Science, Computer Science, or Economics is required; an MBA is highly desirable.

🏝️ Benefits

• At Backblaze, we prioritize fairness and integrity towards our customers, partners, and employees.

• We are dedicated to creating a workforce where every employee feels a sense of belonging, regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, or education.

• We believe that our commitment to fostering a diverse workplace not only enables us to better serve our customers in over 175 countries but also strengthens our dedication to doing the right thing.