Customer Analytics Manager
Join Abnormal Security as a Customer Analytics Manager to drive insights and growth through data models and analytics.
Skills & Technologies
AI in the day-to-day
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews.
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Benefits
Joblaze summary
The Customer Analytics Manager at Abnormal Security plays a crucial role in developing and maintaining data models that assess customer health, product usage, and expansion opportunities. This position requires advanced SQL skills and experience with BI tools, as well as a strong background in analytics within a SaaS environment. Ideal candidates are seasoned professionals who can navigate both technical data modeling and executive-level discussions. The role involves close collaboration with various teams to ensure analytics are actionable and aligned with business goals.
Joblaze insights
- Listed 6 days ago on Joblaze — tracked directly from Abnormal Security's career page.
- Abnormal Security has 79 other open roles including Machine Learning Engineer I, L1 Technical Support Engineer, Technical Support Engineer - AI Cybersecurity Platform.
- 1167 active SQL roles on Joblaze right now.
- 202 active Tableau roles on Joblaze right now.
- 187 active Snowflake roles on Joblaze right now.
- Salary band is below the typical range for Data Science roles (median ~$180,000).
- Pays more than 24% of the 614 salaried SQL roles we track (median $152,000).
Quick facts
- What's the salary range?
- Abnormal Security lists $107,100–$154,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Customer Analytics Manager role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Gainsight, Gong, Snowflake, Tableau, Pendo, BigQuery.
- What seniority level is this role?
- Abnormal Security targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Customer Analytics Manager role at Abnormal Security.
From the original posting
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. 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. 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.
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.
- 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., Snowflake, Databricks, BigQuery).
- Proficiency with BI/visualization tools such as Sigma, Tableau, or Looker.
- 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.
- Track record of identifying and sizing upsell, cross-sell, or expansion opportunities within an existing customer base.
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.
- BS/BA degree in a quantitative field (Statistics, Economics, Computer Science, or related).
#LI-ME1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
AI and our hiring process
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.