Data Analyst, Abnormal Security

• 3+ years of experience working with large-scale data in analytical or product-oriented environments, with a strong focus on data exploration, interpretation, and communication
• Proficiency in writing complex SQL queries and building clean, reliable data models to support reporting and analysis
• Hands-on experience using DBT (Data Build Tool) to transform and organize data for downstream analytics workflows
• Strong grasp of data analyst best practices, including analysis reproducibility, validating results through testing and sanity checks, and communicating insights clearly to both technical and non-technical audiences
• Experience with at least one programming language (e.g., Python or R) for data exploration, statistical analysis, and automating reporting workflows; familiarity with DBT and/or Databricks is a plus
• Bachelor's degree in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, Information Systems, or a related discipline
• Demonstrated ability to translate ambiguous business questions into structured analyses and data models optimized for insight generation
• Strong track record of collaboration with cross-functional partners to deliver high-impact data solutions
• Analytically Curious: You ask thoughtful questions, challenge assumptions, and dig deep into data to uncover hidden patterns and insights
• Detail-Oriented Builder: You care about clean datasets, reproducible analysis, and reliable metrics that scale across teams and use cases
• Insight-Driven Communicator: You can translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences
• Collaborative Partner: You enjoy working cross-functionally with product managers, engineers, and other stakeholders to drive impact through data
• System Thinker: You understand how product signals connect across platforms and how metrics, models, and tooling must evolve to reflect real-world changes
• Pragmatic Innovator: You balance the need for speed with the discipline of sound data practices—delivering the right level of rigor to match the problem
• Growth mindset and ambition: Committed to excellence and willing to seek out personal/professional growth to expand the scope of responsibilities
• This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization

Desirable

• Abnormal AI empowers enterprises of all sizes to combat cybercrime with our advanced cloud products
• As the threat landscape continuously evolves, we emphasize vigilance and adaptability in our defense strategies
• The Detection Data Science team plays a crucial role in providing insights into current and historical product performance, emerging attack trends, and opportunities to enhance our detection capabilities
• This requires accurate and timely data sourced from numerous product applications and thousands of detection signals across billions of emails
• The team integrates all relevant data into a comprehensive analytics pipeline using DBT (Data Build Tool)
• This pipeline facilitates a wide range of functions, including the creation of metrics and dashboards, data analysis, model development, and the generation of customer reports
• Abnormal AI is looking for a Data Analyst to join the Detection Data Science team
• The Data Analyst will focus on extracting actionable insights from product data to inform engineering, product, and go-to-market decisions
• This includes deep-dive analysis of detection performance, monitoring of key metrics, designing experiments, and partnering closely with cross-functional teams to surface trends and drive improvements
• This role is core to the Data Science team’s mission to enable Abnormal to move quickly, learn continuously, and measure what matters
• Contribute to the design, development, and maintenance of the DBT analytics pipeline, ensuring accurate representation of system performance and enabling data-driven decision-making across the organization
• Build scalable, well-structured datasets and develop innovative data models that enhance the accessibility and depth of our analytics capabilities
• Define and formalize key metrics in collaboration with stakeholders, ensuring they are stable, effective, and aligned with strategic goals
• Conduct regular audits of metrics across teams and organizational levels to maintain consistency, accuracy, and relevance
• Analyze complex data to uncover actionable insights that support decision-making, experimentation, and continuous improvement within Detection
• Partner closely with Detection leadership and team leads to drive adoption and effective use of metrics and analytical outputs
• Continuously improve processes for metric definition, inspection, and reporting to maximize their impact and usability
• Provide training and support to teams on interpreting metrics and using analytics tools effectively