Product Analyst

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'.

Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500.

A Product Analyst at Torq plays a key role in helping Product teams understand what’s happening, why it’s happening, and what to do next. By proactively identifying trends, asking the right questions, and connecting insights across product and user data, you’ll help shape product decisions and identify opportunities for improvement.

What You Will Do

• Proactively identify trends, opportunities, and product questions, turning data into actionable insights and recommendations.
• Deep dive into user behavior, product performance, adoption, funnels, and usage to understand not only what is happening, but why.
• Partner with Product to define meaningful KPIs, monitor performance, and use A/B testing and other analytical methods to identify opportunities for improvement.
• Work closely with Product, R&D, and other stakeholders to translate insights into product priorities and decisions.
• Build dashboards, reports, and analytical frameworks that help teams understand product performance and make better decisions.
• Ensure accuracy and attention to detail, building trust in the data and insights used across the organization.
  
  

• 3+ years of experience in Product Analytics or a similar analytical role, ideally in SaaS or cybersecurity.
• Strong analytical and critical-thinking skills, with a proactive and curious mindset and the ability to connect the dots and uncover meaningful insights.
• Proficient in SQL (complex joins, window functions) and experienced with BI tools such as Looker, Tableau, or Power BI.
• Hands-on experience using AI tools for analytics; experience building AI agents is a strong advantage.
• Strong communication and stakeholder management skills, with the ability to influence product decisions through data.
• Strong attention to detail and the ability to build trust and confidence in data and insights.
• Bonus: Experience with Amplitude, Salesforce, or data modeling/ETL processes.