Customer Analytics Manager

Abnormal Security

Customer Analytics Manager at Abnormal analyzing customer data to drive growth and insights in a SaaS environment. Collaborating with various teams to enhance product engagement and expansion opportunities.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $107,100 - $154,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in building and maintaining customer health scoring models, data models for product usage, and conducting deep-dive data analysis to drive actionable insights. Proficient in SQL and BI tools to support analytics in a SaaS environment.

Highest-signal resume keywords

Advanced SQL SkillsCustomer Health Score Model DevelopmentData Model Building in Modern Data WarehousesBI/Visualization Tool ProficiencyExperience in Upsell and Cross-Sell Opportunity Identification

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisData ModelingCustomer Health ScoringProduct Usage MetricsProduct Configuration Metrics

Soft Skills

Clear CommunicationCross-Functional Collaboration

Tools & Technologies

SnowflakeDatabricksBigQuerySigmaTableauLooker

Industry Keywords

Customer SuccessSaaSRevenue OperationsAnalytics Infrastructure

Tech Stack

Tools & technologies

BigQuerySQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.