
501 - 1000 employees
🔒 Cybersecurity
Cybersecurity
Abnormal Security is a provider of cloud-native email security solutions that specializes in preventing a wide array of cyber threats. The company focuses on protecting businesses from attacks such as phishing, malware, ransomware, and social engineering, ensuring total protection for corporate email systems. Their offerings include business email security, phishing detection, and securing against account takeovers, making them a leader in the computer and network security space.
🕒 July 21
🇺🇸 United States – Remote
💵 $107.1k - $154k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
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501 - 1000 employees
🔒 Cybersecurity
Cybersecurity
Abnormal Security is a provider of cloud-native email security solutions that specializes in preventing a wide array of cyber threats. The company focuses on protecting businesses from attacks such as phishing, malware, ransomware, and social engineering, ensuring total protection for corporate email systems. Their offerings include business email security, phishing detection, and securing against account takeovers, making them a leader in the computer and network security space.
• 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.
Apply Now🕒 July 21
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