Customer Analytics Manager
Job Overview
About the Role Abnormal AI is looking for a Customer Analytics Manager to join our CS Operations team.
This role owns the data models and analytics that let us understand, score, and grow our customer base - from health scoring and product usage/adoption to expansion opportunity sizing.
Job Description
The ideal candidate is equally comfortable in the technical weeds of a data model and in a room with executives, translating complex analysis into a clear, actionable narrative.
Build and maintain product configuration metrics that surface how customers have deployed the platform relative to best practice. Identify and model upsell, cross-sell, and expansion addressable market opportunities within the existing customer base.
Partner cross-functionally with CS Operations, Sales, Product, and Data teams to keep analytics infrastructure and definitions consistent and trusted. Present insights and recommendations to CS leadership in a clear, decision-ready format.
Must Haves 5+ years of experience in analytics, data science, or business intelligence, ideally supporting a Customer Success or Revenue org at a SaaS company. Advanced SQL skills and hands-on experience building data models in a modern data warehouse (e. g.
Key Responsibilities
- About the Role Abnormal AI is looking for a Customer Analytics Manager to join our CS Operations team.
- You'll partner closely with Customer Success, Sales, and Product leadership to turn raw usage and configuration data into models and insights that drive proactive, revenue-relevant action.
- What you will do Build and maintain the customer health scoring model, ensuring it reflects risk, engagement, and satisfaction signals across the customer lifecycle.
- Develop and own data models for product usage and adoption, giving CS, Support, and leadership clear visibility into how customers engage with the platform.
- Conduct ad-hoc, deep-dive data analysis for CS leadership, Sales, and Product, translating findings into clear, actionable recommendations.
- Build and maintain product configuration metrics that surface how customers have deployed the platform relative to best practice.
- Present insights and recommendations to CS leadership in a clear, decision-ready format.
- Must Haves 5+ years of experience in analytics, data science, or business intelligence, ideally supporting a Customer Success or Revenue org at a SaaS company.
Required Skills and Qualifications
- Must Haves 5+ years of experience in analytics, data science, or business intelligence, ideally supporting a Customer Success or Revenue org at a SaaS company.
- Advanced SQL skills and hands-on experience building data models in a modern data warehouse (e.g., Snowflake, Databricks, BigQuery).
- Proven experience building and maintaining customer health score models that drive proactive action across CS teams.
- Experience building product usage/adoption or product configuration metrics from raw product telemetry or usage data.
- Nice to Have Experience with Customer Success tools such as Gainsight, Gong, or Pendo.
- Hands-on experience building AI-powered workflows (e.g., Glean agents, Claude skills) to automate analysis.
- #LI-ME1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
Benefits and Perks
- In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
USA Jobs Today role summary
Role Summary
Customer Analytics Manager at Abnormal is a remote United States position and is listed as Full Time.
About the Role Abnormal AI is looking for a Customer Analytics Manager to join our CS Operations team.
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Application Checklist
- Review the stated qualifications, including: Must Haves 5+ years of experience in analytics, data science, or business intelligence, ideally supporting a Customer Success or Revenue org at a SaaS company. Advanced SQL skills and hands-on experience building data models in a modern data warehouse (e.g., Snowflake, Databricks, BigQuery).
- Confirm that the official application page still lists the role as open.
- Verify the work location and any United States eligibility or work-authorization requirements.
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Work Location and Schedule
This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.
About the Company
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