Description

You will drive data-informed product decisions by delivering actionable insights, designing experiments, and understanding user behavior for security products.

This role is on-site.

Responsibilities

• Design, execute, and analyze A/B tests and quasi-experiments to evaluate product impact on engagement and retention.
• Conduct deep-dive analyses of user journeys, onboarding funnels, and feature adoption to identify growth opportunities.
• Establish north-star metrics, KPIs, and guardrails, ensuring consistent definitions across teams and dashboards.
• Partner with data engineering to ensure high-quality telemetry, scalable data models, and reliable reporting layers.
• Translate complex statistical analyses into clear, actionable recommendations for product roadmaps and prioritization.

Required Skills

• 5–8 years of experience in product analytics, advanced analytics, or data science with a strong product focus.
• Proficiency in SQL and Python for data analysis and statistical foundations.
• Hands-on experience designing and interpreting A/B tests and quasi-experimental methods (e.g., difference-in-differences, matching).
• Deep understanding of user behavior analysis, funnel optimization, retention, and feature-adoption metrics.
• Experience with BI tools such as Power BI, Tableau, or Looker for data visualization and storytelling.
• Experience working with event-based data and defining tracking requirements for digital products.
• Bachelor’s or master’s degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, or related).

Preferred Skills

• Application of advanced statistical techniques including segmentation, cohort analysis, regression, and causal inference.
• Ability to mentor analysts and elevate team practices in experiment design and metric definition.

Key Skills

Education

Any Graduate