Remote Position
[Remote] Sales Analytics & Program Manager
π Remote Β· United States
πΌ Full-time
Note: The job is a remote job and is open to candidates in USA. Consensus Cloud Solutions is hiring a Sales Analytics & Program Manager to lead its global customer retention program and own Net Revenue Retention across customer cohorts and segments. The role analyzes retention and churn data, develops and manages programs to prevent churn, and partners cross-functionally to deliver insights and report results to senior leaders.
Responsibilities
- Own Net Revenue Retention (NRR) across all customer cohorts and segments, ensuring a material impact on the company's revenue
- Analyze comprehensive Customer Retention data, including subscription, billing, product usage, support, CRM, marketing, and customer-success data
- Manage end-to-end data Retention analysis tasks, including data extraction, cleaning, analysis and interpretation
- Proactively analyze various data points (e.g., CS tickets, price sensitivity, product usage) to identify churn risks and retention propensity
- Develop, launch and manage programs and efforts to address Customer Retention and prevent churn
- Monitor the effectiveness of these Retention programs and iterate as needed
- Partner closely with Product, Sales, CS, Lifecycle Marketing, Contract Management, and Renewal Teams to align business objectives with data analysis and relay critical insights (e.g., feeding churn accelerator data back to the Product team)
- Prepare weekly, monthly, quarterly and annual reports for Senior leaders
- Frequently present findings to senior audiences including our CEO, CRO, and SVPs
- Create dashboards and visualizations to communicate insights to relevant business
- Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time
Skills
- 5+ years experience in Strategy & Operations, Revenue Operations, Sales Operations, Sales Analytics, Data Analytics, or Consulting
- 5+ years of working with Sales and Revenue data, including data extraction, analysis, and forecasting
- 5+ years of experience in partnering with and delivering projects to Sales organizations specifically
- 5+ years of experience crafting strong presentations & effectively communicating findings to senior level audiences (VP level and above)
- 2+ years of experience in SAAS environments
- 2+ years using SQL/SOQL for joining subscription, billing, product-usage, support, CRM, marketing, and customer-success data
- 2+ years using Python or R for data cleaning, feature engineering, statistical analysis, automation, and model development. Python experience with pandas, scikit-learn, XGBoost/LightGBM
- 2+ years of experience working with a cloud data warehouse and CRM such as Redshift, BigQuery, Salesforce
- Deep knowledge of AI is a key requirement
- You must have hands-on experience utilizing tools such as Claude Code, Cursor, Kiro, Gemini Enterprise, Vertex AI, and other similar AI platforms to drive automation, advanced analytics, and operational efficiency
- Strong ability to navigate in ambiguous environments; projects may start very ambiguously and with little direction; you will need strong Project Planning skills to scope and plan a project from start to finish
- Strong ability to navigate messy data; it's going to require strong critical thinking to make sense of several data sources, and clean up our data prior to analysisΒ cleanup
- Ability to successfully work independently ensuring prompt completion of projects
- Strong problem-solving and critical thinking skills
- Experience presenting data to a variety of audiences in a manner that tells a story
- Project management certifications; scoping projects and creating detailed plans, with milestones, and then executing are a key part of the role
- A Bachelor's degree in a relevant field such as Business, Economics, Statistics, Math, Computer Science OR other relevant fields preferred
Benefits
- Annual performance bonus
- ESPP
- Enhanced time off packages
- Fully remote within the U.S.
Company Overview