Job description
Product Analyst
As a Product Analyst you will drive datainformed product decisions by delivering actionable insights designing robust experiments and deeply understanding user behavior 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 quasiexperiments to evaluate product and feature impact on engagement retention and customer satisfaction
Drive product insights Conduct deepdive 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 decisionmaking Translate complex analyses into clear actionable recommendations for product roadmaps and prioritization
Improve data foundations Partner with data engineering and platform teams to ensure highquality 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 crossfunctionally 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
About You
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 quasiexperimental methods eg differenceindifferences 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 modeling knowledge Experience working with eventbased 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
Bachelors or masters degree in a quantitative field a plus Statistics Computer Science Engineering Mathematics or related
Skills
Mandatory Skills : ANSI-SQL, Python for DATA
Product Analyst • Mississauga, ON, Canada
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