Job DescriptionAs a Product Analyst you will drive data informed product decisions by delivering actionable insights designing robust experiments and deeply understanding user behaviour You will partner closely with Product UX and Engineering to shape product strategy and improve customer experience across the security products
Key Responsibilities
- Lead experimentation strategy Design execute and analyze AB tests and quasi experiments to evaluate product and feature impact on engagement retention and customer satisfaction
- Drive product insights Conduct deep dive analyses on user journeys onboarding funnels feature adoption and retention cohorts to identify growth and optimization opportunities
- Define and operationalize metrics Establish northstar metrics KPIs and guardrails ensure consistent definitions across teams and dashboards
- Enable product decision making Translate complex analyses into clear actionable recommendations for product roadmaps and prioritization
- Improve data foundations Partner with data engineering and platform teams to ensure high-quality telemetry scalable data models and reliable reporting layers
- Leverage advanced analytics Apply statistical techniques segmentation cohort analysis regression causal inference to uncover drivers of user behavior and product performance
- Collaborate cross functionally Work closely with Product Managers Designers and Engineers to embed analytics into the product development lifecycle
- Mentor and elevate analytics practices Guide analysts on experimentation design metric definition and storytelling best practices
- Communicate effectively Deliver clear compelling insights to stakeholders and leadership through dashboards presentations and narratives
Requirements- 5-8 years of experience in product analytics advanced analytics or data science with strong product focus
- Strong experimentation expertise Handson experience designing and interpreting AB tests and quasi experimental methods e.g. difference indifferences matching
- Advanced analytical skills Proficient in SQL and Python for data analysis strong foundation in statistics and hypothesis testing
- Product analytics experience Deep understanding of user behavior analysis funnel optimization retention and feature adoption metrics
- Data visualization storytelling Experience with BI tools such as Power BI Tableau or Looker to communicate insights effectively
- Telemetry data modelling knowledge Experience working with event-based data and defining tracking for digital products
- Business and product acumen Ability to connect data insights into product strategy and customer experience improvements
- Strong communication and stakeholder management skills with the ability to influence decisions across teams
- Bachelor's or master's degree in a quantitative field a plus Statistics Computer Science Engineering Mathematics or related
Skills
- Mandatory Skills: ANSI-SQL, Python for DATA
