Sales Analytics & Program Manager

Consensus Cloud Solutions
•$138,000 - $145,000•Remote

About The Position

The Sales Analytics & Program Manager is part of Consensus Cloud Solutions’ Revenue & Sales Operations team, which drives global sales strategy, analytics, sales planning, learning and development, commercial management, the sales technology stack, and sales operations. This role leads the company’s global Customer Retention program and owns Net Revenue Retention (NRR) across customer cohorts and segments, with a material impact on revenue. The position combines analytics and project management. It uses customer subscription, billing, product usage, support, CRM, marketing, and customer-success data to identify retention trends, churn accelerators, risks, and opportunities. The role manages analysis from data extraction and preparation through interpretation, then develops, launches, monitors, and improves retention programs. It works cross-functionally with Sales, Product, Customer Success and Support, Lifecycle Marketing, Contract Management, Renewal Teams, and other partners, and presents findings to senior leaders, including the CEO, CRO, and SVPs. This is a fully remote position within the U.S., with up to 10% travel. The role requires the ability to sit for long periods and spend extended periods using a screen, as well as reliable, high-speed internet. Sponsorship is not available. The annual salary range is $138,000–$145,000, and total compensation is negotiable and may include an annual performance bonus, ESPP, enhanced time-off packages, and benefits.

Requirements

  • At least 5 years of experience in Strategy & Operations, Revenue Operations, Sales Operations, Sales Analytics, Data Analytics, or Consulting.
  • At least 5 years of experience working with Sales and Revenue data, including data extraction, analysis, and forecasting.
  • At least 5 years of experience partnering with and delivering projects to Sales organizations.
  • At least 5 years of experience creating presentations and communicating findings effectively to senior audiences at VP level or above.
  • At least 2 years of experience in SaaS environments.
  • At least 2 years of experience using SQL or SOQL to join subscription, billing, product-usage, support, CRM, marketing, and customer-success data.
  • At least 2 years of experience 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 is specified.
  • At least 2 years of experience working with a cloud data warehouse and CRM, such as Redshift, BigQuery, or Salesforce.
  • Deep knowledge of AI and hands-on experience using tools such as Claude Code, Cursor, Kiro, Gemini Enterprise, Vertex AI, or similar platforms for automation, advanced analytics, and operational efficiency.
  • Ability to navigate ambiguous environments and scope and plan projects from start to finish with limited direction.
  • Ability to work with messy data, apply critical thinking across multiple data sources, and clean data before analysis.
  • Ability to work independently and complete projects promptly.
  • Strong problem-solving and critical-thinking skills.
  • Experience presenting data to varied audiences in a way that tells a story.
  • Ability to sit for long periods and handle extended periods of screen time.
  • Reliable, high-speed internet.

Nice To Haves

  • Project management certifications; experience scoping projects, creating detailed plans and milestones, and executing them.
  • A bachelor's degree in a relevant field such as Business, Economics, Statistics, Math, or Computer Science, or another relevant field.

Responsibilities

  • Own Net Revenue Retention (NRR) across all customer cohorts and segments.
  • Analyze customer retention data, including subscription, billing, product usage, support, CRM, marketing, and customer-success data.
  • Manage end-to-end retention analysis, including data extraction, cleaning, analysis, and interpretation.
  • Analyze customer-success tickets, price sensitivity, product usage, and other data points to identify churn risks and retention propensity.
  • Develop, launch, and manage programs to improve customer retention and prevent churn.
  • Monitor retention program effectiveness and iterate as needed.
  • Partner with Product, Sales, Customer Success, Lifecycle Marketing, Contract Management, Renewal Teams, and other groups to align business objectives with analysis and share insights.
  • Prepare weekly, monthly, quarterly, and annual reports for senior leaders.
  • Present findings to senior audiences, including the CEO, CRO, and SVPs.
  • Create dashboards and visualizations to communicate insights to relevant business audiences.
  • Perform other duties and responsibilities as required, assigned, or requested.

Benefits

  • Annual performance bonus may be included in the total compensation package.
  • Employee stock purchase plan (ESPP) may be included in the total compensation package.
  • Enhanced time-off packages and benefits may be included in the total compensation package.
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