
501 - 1000 employees
Abnormal provides total protection against the widest range of attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $107.1k - $154k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
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501 - 1000 employees
Abnormal provides total protection against the widest range of attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.
• 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.
• 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.
• 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.
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