Sales Analytics & Program Manager

New

Fully remote within the U.S.Full-TimeManager

SalaryThe salary range for this role is $138,000 - $145,000 USD annually

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Job Details

Experience: 5+ years of experience in Strategy & Operations, Revenue Operations, Sales Operations, Sales Analytics, Data Analytics, or Consulting; 5+ years working with Sales and Revenue data; 5+ years partnering with and delivering projects to Sales organizations; 5+ years crafting presentations and communicating findings to senior audiences; 2+ years of experience in SaaS environments; 2+ years using SQL/SOQL; 2+ years using Python or R; 2+ years working with a cloud data warehouse and CRM.
Required Skills: PythonSQLSalesforcePandasRscikit-learn

Have 5+ years of experience in Strategy & Operations, Revenue Operations, Sales Operations, Sales Analytics, Data Analytics, or Consulting.
Have 5+ years working with Sales and Revenue data, including extraction, analysis, and forecasting.
Have 5+ years partnering with and delivering projects to Sales organizations.
Have 5+ years crafting presentations and communicating findings to senior audiences at VP level and above.
Have 2+ years of experience in SaaS environments.
Have 2+ years using SQL/SOQL to join subscription, billing, product-usage, support, CRM, marketing, and customer-success data.
Have 2+ years using Python or R for data cleaning, feature engineering, statistical analysis, automation, and model development; Python experience with pandas, scikit-learn, and XGBoost or LightGBM.
Have 2+ years working with a cloud data warehouse and CRM, such as Redshift, BigQuery, or Salesforce.
Have hands-on experience with AI platforms such as Claude Code, Cursor, Kiro, Gemini Enterprise, or Vertex AI.
Be able to plan and scope projects in ambiguous environments and work independently.
Have strong critical-thinking and problem-solving skills and experience presenting data in a way that tells a story.
Project management certifications and a relevant bachelor's degree are preferred.

Own Net Revenue Retention across customer cohorts and segments.
Analyze customer retention data across subscription, billing, product usage, support, CRM, marketing, and customer-success sources.
Extract, clean, analyze, and interpret retention data.
Identify churn risks and retention propensity using data such as support tickets, price sensitivity, and product usage.
Develop, launch, and manage programs to address customer retention and prevent churn.
Monitor retention program effectiveness and iterate as needed.
Partner with Product, Sales, Customer Success, Lifecycle Marketing, Contract Management, and Renewal teams to align objectives and share insights.
Prepare recurring reports and create dashboards and visualizations for business stakeholders.
Present findings to senior audiences, including the CEO, CRO, and SVPs.

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